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differenttimemachinecrusade · 2 months ago

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Serverless Computing Market Growth Analysis and Forecast Report 2032

The Serverless Computing Market was valued at USD 19.30 billion in 2023 and is expected to reach USD 70.52 billion by 2032, growing at a CAGR of 15.54% from 2024-2032.

The serverless computing market has gained significant traction over the last decade as organizations increasingly seek to build scalable, agile, and cost-effective applications. By allowing developers to focus on writing code without managing server infrastructure, serverless architecture is reshaping how software and cloud applications are developed and deployed. Cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are at the forefront of this transformation, offering serverless solutions that automatically allocate computing resources on demand. The flexibility, scalability, and pay-as-you-go pricing models of serverless platforms are particularly appealing to startups and enterprises aiming for digital transformation and faster time-to-market.

Serverless Computing Market adoption is expected to continue rising, driven by the surge in microservices architecture, containerization, and event-driven application development. The market is being shaped by the growing demand for real-time data processing, simplified DevOps processes, and enhanced productivity. As cloud-native development becomes more prevalent across industries such as finance, healthcare, e-commerce, and media, serverless computing is evolving from a developer convenience into a strategic advantage. By 2032, the market is forecast to reach unprecedented levels of growth, with organizations shifting toward Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) to streamline development and reduce operational overhead.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5510

Market Keyplayers:

AWS (AWS Lambda, Amazon S3)

Microsoft (Azure Functions, Azure Logic Apps)

Google Cloud (Google Cloud Functions, Firebase)

IBM (IBM Cloud Functions, IBM Watson AI)

Oracle (Oracle Functions, Oracle Cloud Infrastructure)

Alibaba Cloud (Function Compute, API Gateway)

Tencent Cloud (Cloud Functions, Serverless MySQL)

Twilio (Twilio Functions, Twilio Studio)

Cloudflare (Cloudflare Workers, Durable Objects)

MongoDB (MongoDB Realm, MongoDB Atlas)

Netlify (Netlify Functions, Netlify Edge Functions)

Fastly (Compute@Edge, Signal Sciences)

Akamai (Akamai EdgeWorkers, Akamai Edge Functions)

DigitalOcean (App Platform, Functions)

Datadog (Serverless Monitoring, Real User Monitoring)

Vercel (Serverless Functions, Edge Middleware)

Spot by NetApp (Ocean for Serverless, Elastigroup)

Elastic (Elastic Cloud, Elastic Observability)

Backendless (Backendless Cloud, Cloud Code)

Faundb (Serverless Database, Faundb Functions)

Scaleway (Serverless Functions, Object Storage)

8Base (GraphQL API, Serverless Back-End)

Supabase (Edge Functions, Supabase Realtime)

Appwrite (Cloud Functions, Appwrite Database)

Canonical (Juju, MicroK8s)

Market Trends

Several emerging trends are driving the momentum in the serverless computing space, reflecting the industry's pivot toward agility and innovation:

Increased Adoption of Multi-Cloud and Hybrid Architectures: Organizations are moving beyond single-vendor lock-in, leveraging serverless computing across multiple cloud environments to increase redundancy, flexibility, and performance.

Edge Computing Integration: The fusion of serverless and edge computing is enabling faster, localized data processing—particularly beneficial for IoT, AI/ML, and latency-sensitive applications.

Advancements in Developer Tooling: The rise of open-source frameworks, CI/CD integration, and observability tools is enhancing the developer experience and reducing the complexity of managing serverless applications.

Serverless Databases and Storage: Innovations in serverless data storage and processing, including event-driven data lakes and streaming databases, are expanding use cases for serverless platforms.

Security and Compliance Enhancements: With growing concerns over data privacy, serverless providers are focusing on end-to-end encryption, policy enforcement, and secure API gateways.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5510

Market Segmentation:

By Enterprise Size

Large Enterprise

SME

By Service Model

Function-as-a-Service (FaaS)

Backend-as-a-Service (BaaS)

By Deployment

Private Cloud

Public Cloud

Hybrid Cloud

By End-user Industry

IT & Telecommunication

BFSI

Retail

Government

Industrial

Market Analysis

The primary growth drivers include the widespread shift to cloud-native technologies, the need for operational efficiency, and the rising number of digital-native enterprises. Small and medium-sized businesses, in particular, benefit from the low infrastructure management costs and scalability of serverless platforms.

North America remains the largest regional market, driven by early adoption of cloud services and strong presence of major tech giants. However, Asia-Pacific is emerging as a high-growth region, fueled by growing IT investments, increasing cloud literacy, and the rapid expansion of e-commerce and mobile applications. Key industry verticals adopting serverless computing include banking and finance, healthcare, telecommunications, and media.

Despite its advantages, serverless architecture comes with challenges such as cold start latency, vendor lock-in, and monitoring complexities. However, advancements in runtime management, container orchestration, and vendor-agnostic frameworks are gradually addressing these limitations.

Future Prospects

The future of the serverless computing market looks exceptionally promising, with innovation at the core of its trajectory. By 2032, the market is expected to be deeply integrated with AI-driven automation, allowing systems to dynamically optimize workloads, security, and performance in real time. Enterprises will increasingly adopt serverless as the default architecture for cloud application development, leveraging it not just for backend APIs but for data science workflows, video processing, and AI/ML pipelines.

As open standards mature and cross-platform compatibility improves, developers will enjoy greater freedom to move workloads across different environments with minimal friction. Tools for observability, governance, and cost optimization will become more sophisticated, making serverless computing viable even for mission-critical workloads in regulated industries.

Moreover, the convergence of serverless computing with emerging technologies—such as 5G, blockchain, and augmented reality—will open new frontiers for real-time, decentralized, and interactive applications. As businesses continue to modernize their IT infrastructure and seek leaner, more responsive architectures, serverless computing will play a foundational role in shaping the digital ecosystem of the next decade.

Access Complete Report: https://www.snsinsider.com/reports/serverless-computing-market-5510

Conclusion

Serverless computing is no longer just a developer-centric innovation—it's a transformative force reshaping the global cloud computing landscape. Its promise of simplified operations, cost efficiency, and scalability is encouraging enterprises of all sizes to rethink their application development strategies. As demand for real-time, responsive, and scalable solutions grows across industries, serverless computing is poised to become a cornerstone of enterprise digital transformation. With continued innovation and ecosystem support, the market is set to achieve remarkable growth and redefine how applications are built and delivered in the cloud-first era.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

#Serverless Computing Market

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krispyobservationmilkshake · 3 months ago

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The Future of Alltick API: AI, Quantum Computing, and Beyond

Alltick isn’t just today’s fastest data feed—it’s building the future of trading tech.

This article explores: ✔ AI-driven predictive analytics ✔ Quantum-resistant encryption ✔ Decentralized data validation (Blockchain)

1. AI-Powered Predictive Markets

Alltick’s Nexus-9 AI now: 🤖 Predicts FOMC decisions with 89% accuracy 📈 Forecasts Bitcoin halving rallies 6 months early

2. Quantum Computing Integration

Quantum timestamps → Picosecond precision

Post-quantum encryption → Unhackable data streams

3. Decentralized Data Validation

Blockchain-based consensus → No single point of failure

Tokenized data rewards → Earn $ALLT for providing liquidity

The Next 5 Years: What’s Coming

🚀 2025: Neural network price forecasting 🛡️ 2026: AI-driven SEC compliance bots 🌐 2027: Global decentralized data mesh

Websocket

import json import websocket # pip install websocket-client ''' # Special Note: # GitHub: https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api # Token Application: https://alltick.co # Replace "testtoken" in the URL below with your own token # API addresses for forex, cryptocurrencies, and precious metals: # wss://quote.tradeswitcher.com/quote-b-ws-api # Stock API address: # wss://quote.tradeswitcher.com/quote-stock-b-ws-api ''' class Feed(object): def __init__(self): self.url = 'wss://quote.tradeswitcher.com/quote-stock-b-ws-api?token=testtoken' # Enter your websocket URL here self.ws = None def on_open(self, ws): """ Callback object which is called at opening websocket. 1 argument: @ ws: the WebSocketApp object """ print('A new WebSocketApp is opened!') # Start subscribing (an example) sub_param = { "cmd_id": 22002, "seq_id": 123, "trace":"3baaa938-f92c-4a74-a228-fd49d5e2f8bc-1678419657806", "data":{ "symbol_list":[ { "code": "700.HK", "depth_level": 5, }, { "code": "UNH.US", "depth_level": 5, } ] } } # If you want to run for a long time, you need to modify the code to send heartbeats periodically to avoid disconnection, please refer to the API documentation for details sub_str = json.dumps(sub_param) ws.send(sub_str) print("depth quote are subscribed!") def on_data(self, ws, string, type, continue_flag): """ 4 arguments. The 1st argument is this class object. The 2nd argument is utf-8 string which we get from the server. The 3rd argument is data type. ABNF.OPCODE_TEXT or ABNF.OPCODE_BINARY will be came. The 4th argument is continue flag. If 0, the data continue """ def on_message(self, ws, message): """ Callback object which is called when received data. 2 arguments: @ ws: the WebSocketApp object @ message: utf-8 data received from the server """ # Parse the received message result = eval(message) print(result) def on_error(self, ws, error): """ Callback object which is called when got an error. 2 arguments: @ ws: the WebSocketApp object @ error: exception object """ print(error) def on_close(self, ws, close_status_code, close_msg): """ Callback object which is called when the connection is closed. 2 arguments: @ ws: the WebSocketApp object @ close_status_code @ close_msg """ print('The connection is closed!') def start(self): self.ws = websocket.WebSocketApp( self.url, on_open=self.on_open, on_message=self.on_message, on_data=self.on_data, on_error=self.on_error, on_close=self.on_close, ) self.ws.run_forever() if __name__ == "__main__": feed = Feed() feed.start()

The Data Feed of Tomorrow

Alltick isn’t just keeping up with the future—it’s inventing it.

Join the revolution: [Explore Alltick.co]

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carollookwood · 3 months ago

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Why Hiring Android App Developers is Crucial for Your Business Growth

In today’s digital era, mobile applications have become a key factor in business success. Android, being the most widely used mobile operating system, offers a great opportunity for businesses to reach a broader audience. If you are planning to develop an Android application, it is essential to hire android app developers with the right expertise to ensure a high-quality and scalable app.

Why Choose Android for Your Mobile App Development?

Android dominates the global mobile OS market, with millions of users relying on Android apps daily. Here are a few reasons why businesses prefer Android for their app development:

Wider Market Reach: Android powers a majority of mobile devices worldwide, giving businesses access to a vast user base.

Open-Source Platform: Android is an open-source operating system, allowing developers to customize applications based on business needs.

Cost-Effective Development: Android development is more budget-friendly compared to other platforms, making it accessible for startups and enterprises alike.

Integration with Google Services: Android apps seamlessly integrate with Google’s suite of services, such as Google Maps, Firebase, and Google Pay.

Diverse Device Compatibility: Android applications can run on various devices, including smartphones, tablets, smartwatches, and TVs.

Key Skills to Look for When You Hire Android App Developers

When hiring Android developers, it’s essential to evaluate their technical skills and industry experience. Here are some crucial skills to look for:

1. Proficiency in Programming Languages

A skilled Android developer should have expertise in:

Java: The traditional language for Android app development.

Kotlin: A modern, concise, and more efficient alternative to Java.

2. Knowledge of Android Development Frameworks

Android SDK: Essential for building robust applications.

Jetpack Components: Helps streamline app development.

React Native or Flutter: Useful for cross-platform development.

3. Experience with UI/UX Design

Proficiency in Material Design Principles.

Ability to create an intuitive and user-friendly interface.

4. Backend and API Integration

Experience in working with RESTful APIs.

Understanding of Firebase, AWS, or custom backend solutions.

5. Database Management

Proficiency in SQLite, Room Database, and Firebase Realtime Database.

6. Security Best Practices

Expertise in data encryption, authentication, and secure coding practices.

7. Testing and Debugging Skills

Experience in using tools like JUnit, Espresso, and Firebase Test Lab.

Benefits of Hiring Dedicated Android App Developers

1. Customized Solutions

Hiring dedicated developers ensures that your application is tailored to meet your business goals, incorporating unique features that align with your brand.

2. Faster Development and Deployment

Experienced developers follow agile methodologies, ensuring faster development cycles and timely project delivery.

3. Cost-Effectiveness

Outsourcing Android app development to skilled professionals reduces costs compared to maintaining an in-house team.

4. Ongoing Support and Maintenance

Dedicated Android developers provide continuous support, ensuring that your application remains updated with the latest trends and security patches.

How to Hire Android App Developers for Your Project?

1. Define Your Project Requirements

Clearly outline your app idea, target audience, and key features before starting the hiring process.

2. Choose the Right Hiring Model

You can hire Android developers through different models:

Freelancers: Ideal for small projects with limited budgets.

In-House Developers: Best for long-term projects requiring constant updates.

Dedicated Development Teams: A cost-effective solution for comprehensive app development.

3. Evaluate Candidates Thoroughly

Conduct technical assessments, review portfolios, and check past client reviews before making a decision.

4. Ensure Strong Communication Skills

A good Android developer should have strong communication skills to ensure seamless collaboration.

5. Post-Development Support

Ensure the developers offer post-launch support to handle updates, bug fixes, and future enhancements.

Why Choose Sciflare Technologies to Hire Android App Developers?

Sciflare Technologies is a leading provider of Android app development services, offering tailored solutions to businesses worldwide. Our team of expert Android developers ensures that your application is built with cutting-edge technologies, high performance, and top-notch security.

What We Offer?

Experienced Developers with expertise in Java, Kotlin, and cross-platform frameworks.

Custom App Development tailored to meet your business goals.

Scalable and Secure Solutions for startups and enterprises.

Post-Development Support to ensure long-term success.

Final Thoughts

If you’re looking to build a feature-rich and scalable mobile application, it’s crucial to hire android app developers who can bring your vision to life. By choosing skilled professionals, you ensure the success of your app while staying ahead of the competition.

Looking for expert Android developers? Get in touch with Sciflare Technologies today!

#android app developers #hire android app developers

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trawexonline · 11 months ago

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Hotel API

There has never been a better way for you to develop your Hotel Booking Platform using content from multiple supplier sources that can meet the exact requirements of your customers. Trawex offers a variety of connections and APIs to suit your business model, providing access to the extensive global Hotel content and best negotiated deals, all through a single API Integration

Universal API - Great advantages for your business! A world of travel content for

Online Travel Agencies

Tour Operators

Corporates

Travel Management Companies

Hotel API Advantages

Choose the modules that are right for you.

Access to excellent negotiated rates.

wider choice of hotels.

Realtime availability and confirmation.

Booking is simple.

Mapping and De-duplication

Clean & accurate data

Easy to Integrate

Integration Support

Personalised service

Cost savings

Search, Book, Confirm – Through a Single API Integration

Hotel API Features

Flexible, scalable and easy to integrate and implement

Build and update customised travel booking applications

built on scalable Open System architecture

Decreased development costs and time to market

Custom-designed solutions which maximise efficiency

Completely scalable and Web 2.0 compliant

Reliable and robust,

Independent of language and application framework

real time streaming of prices for your users

Continually optimised product solutions

RESTful API format, with JSON or XML responses available

Browse and Live prices feeds

Why Trawex Universal Hotel API

Extend the Functionality of Your Website with Hotel Booking Engine API

With a wide range of accommodation choices in every location, each providing various pricing, and availability, the task of navigating through multiple suppliers can be made simple with our Hotel API. By integrating our Hotel API with your Travel portal, you as an Online Travel Agency can offer hard to beat Hotel deals to your potential clients. With the Hotel API, you can browse a large number of hotels offers, book Room, cancel Room, generate reports for booking and cancellation, etc. very easily. A good API is a precious resource for the company. We realize this and so through our Hotel API, all the Hotel needs can be customized according to the customer's needs. Trawex API aggregates hotel content into a single system from leading hotel suppliers, consolidators, hotel chains and online travel agencies (OTAs). We offer unrivalled hotel search and booking technology designed to meet all of your requirements.

Our Partner-Focused Approach Is Long-Term; Supporting You Through Integration, Optimization and Business Growth.

Trawex Hotel API offers rich hotel content that is generally not available in other Travel Aggregators. Our online booking system allows our clients to access our vast hotel inventory from anywhere in the world swiftly. Best Hotel Booking Engine is specialized in reserving hotels online with very best hotels available. By integrating this travel and tourism API with your own software solution, you as a travel service supplier can provide hard to beat travel related solutions to your potential clients. It helps in travel and tourism business to help get the Hotel reservation done easily. Trawex Hotel API provides comprehensive descriptions including room types, images, and facilities, of over 500,000 properties worldwide. As one of the trusted API providers Globally specialized in Hotel API Integration. All our services are integrated, tested and maintained by experienced team of professionals.

Hotel APIs are web services that allow travel companies to collect and aggregate information such as descriptions, galleries, availability and pricing from multiple hotel providers into a single-engine. It allows end-users to search and book hotels around the world using only one Hotel Booking System.

Trawex has experience with qualified professionals who are API integration specialists. Our API solutions make your portal not only user-friendly, but also adaptive. Our API portfolio includes broad inventories and a variety of APIs offered by global aggregators in the hotel domain.

Our Hotel API makes it possible for travelers to book rooms online, and this plays a vital role in the development of different properties nowadays. In today's world, it's time to move from hotel room bookings from offline to online mode.

Integrate Your Website with API for Seamless Business Operation

Travel portals and applications built with our API are also adaptable to different devices and sizes, using the latest responsive technologies to automatically change the display layout to match the screen of the device used.

The portal gets the real-time search data with the advantage of this software solution and gets to know the traveler's requirement about hotel booking. This can include room no, type of room, destination, and traveler's budget.

Hotel API is one of those search solutions that lets hotels provide travelers with the latest and most suitable search results so they can seal the portal deal and reserve their itinerary with it. Our Hotel API will help your business increase revenues while automating processes and reducing the time and effort required completing a room booking.

Travel agency can automate their services such as hotel booking, reservation, payments and much more through hotel API integration. In addition, travelers nowadays love smart work, so when you have fully automated website travelers can rely on you and book your stay making you the medium.

Why choose Trawex for Hotel API Integration?

What you need to do is integrate the hotel API into your website or management system, and yes! You have access to thousands of hotels, resorts all over the world. Our Hotel API provides comprehensive descriptions of more than 500,000 properties worldwide, including room types, pictures and services. As one of the trusted API providers, widely specialized in the integration of hotel APIs.

Hotel XML API:

Hotel XML API is a web service providing an online functionality of searching and booking hotels. It gives you the opportunity to provide your clients with more better options to select their ideal stay place in a particular city. Thus, it enhances your business beyond the limit. The complete transaction happens on your own website under your Brand. You can also collect payment from your customers by integrating payment gateway.

Hotel reservation system:

A Hotel Reservation System is a necessity for today’s accommodation providers, both large and small. An increasing number of travelers are relying solely on online reservations in order to book their accommodations, and without this capability, you will lose a significant amount of business.

It gives you an advantage over your competitors.

It improves your efficiency as a business

Features:

Real-time integrations

Quick Booking Confirmations

Fast, Robust and scalable

Fully Flexible

Customizable response

Automatic end to end invoicing

Easy to use solutions for booking via call centre

Why Trawex universal hotel Api?

Our Hotel API offers you the following benefits:

Easy hotels reservation facility is available for entire world.

Our service covers nearly all major service providers of hotels.

We provide a powerful backend support through our unblemished services.

No need of huge investment to start hotels reservation.

Boom in hotels industry Favors promising results.

Hotel Reservation API Provides a great Value addition to Existing Website or business.

Working capital depends on your daily transactions.

No minimum deposits and balance maintenance required

For more details, Pls visit our website:

#Hotel API #Hotel Reservation Systems #Best Hotel Booking Engine

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aibyrdidini · 1 year ago

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AI API ZAP PROJECT - SECOND PART.

PART 2/2

2. Focus on No Code Integration

Adopt a no code integration approach, inspired by Zapier's emphasis on making automation accessible to everyone. This would involve designing AI API ZAP to allow users to integrate AI APIs without writing code, making it a powerful tool for businesses of all sizes. By providing a user friendly interface and prebuilt integrations, AI API ZAP can democratize access to AI capabilities, enabling users to leverage AI in their projects more easily.

3. Leverage AI for Enhanced User Experience

Incorporate AI to enhance the user experience, similar to how Zapier uses AI for escalation management and customer support. AI API ZAP could use AI to provide personalized support, automate responses to common queries, and offer intelligent suggestions to users. This would not only improve the user experience but also demonstrate the value of AI in streamlining processes and improving efficiency.

PYTHON POC SNIPPET FOR AI API ZAP

To demonstrate the potential of AI API ZAP, here's a conceptual Python proof of concept (POC) snippet that showcases how AI API ZAP could simplify the integration of an AI API for sentiment analysis:

```python

from ai_api_zapp import AIAPIZAPPClient

# Initialize the AI API ZAPP client

client = AIAPIZAPPClient(api_key='your_api_key_here')

# Define the text to analyze

text = "I love this product!"

# Call the sentiment analysis API

response = client.sentiment_analysis(text)

# Print the sentiment analysis result

print(f"Sentiment: {response['sentiment']}, Confidence: {response['confidence']}")

```

This snippet assumes the existence of an `AIAPIZAPP Client` class that abstracts the details of interacting with AI APIs, including authentication, request formatting and response parsing. The actual implementation would depend on the specific APIs and services provided by AI API ZAP.

By focusing on AI-driven automation, no code integration, and leveraging AI for an enhanced user experience, AI API ZAP can position itself as a powerful and accessible tool for integrating AI APIs. This approach, inspired by Zapier's strategies, can help AI API ZAP stand out in the market and attract a wide range of users looking to leverage AI capabilities in their projects.

THE SECURITY OF DATA

To ensure the security of data being exchanged between AI API ZAP and target platforms, especially when using web hooks or APIs, it's crucial to implement a comprehensive security strategy. Here are key practices derived from the provided sources:

1. Encryption

Use Encryption: Always encrypt the data being sent between AI API ZAP and the target platforms. This ensures that even if the data is intercepted, it cannot be read without the decryption key.

2. TwoWay Authentication

Implement TwoWay Authentication: This involves both the client and server verifying each other's identities before any data exchange occurs. This prevents unauthorized access and ensures that the data is being sent to the correct recipient.

3. Avoid Sensitive Information

Limit Sensitive Data: Avoid sending highly sensitive information, such as passwords or personal data, via webhooks or APIs. If realtime data exchange is necessary, consider using a "skinny payload" approach, where the webhook only notifies the receiving application of an update, and the application then makes an authenticated API call to retrieve the full data.

4. Secure Tokens and Secrets

Manage Tokens and Secrets Safely: Use secure methods to manage tokens and secrets used for authentication. Ensure these can be regenerated if they are compromised to prevent unauthorized access.

5. Monitor and Detect Threats

AI Enabled Monitoring and Threat Detection: Utilize AI enabled behavior analysis to monitor API traffic and detect anomalous behavior. This proactive approach helps in identifying and mitigating potential threats before they can be exploited.

6. Secure Webhook Implementation

Implement Multiple Security Measures: Do not rely on a single security practice. Instead, use a combination of encryption, twoway authentication, and other security measures to ensure a comprehensive defense against potential threats.

7. Documentation and Code Examples

Provide Clear Documentation and Examples: If you're a webhook provider, offer detailed documentation, libraries, and code examples to help developers secure their webhooks effectively. This aids in quickly and easily implementing best practices for webhook security.

8. Design with Security in Mind

Integrate Security from the Start: Security should be an integral part of the design and development process of AI API ZAP and any integrations it supports. This ensures that security measures are built in from the beginning, reducing the risk of vulnerabilities.

By following these best practices, you can significantly enhance the security of data being exchanged between AI API ZAP and target platforms, protecting sensitive information and ensuring the integrity of the data exchange process.

ENCRYPTION FOR DATA

To implement encryption for data exchange between AI API ZAP and target platforms, you can follow a structured approach that leverages industry standard encryption protocols. Here's a detailed guide based on the provided sources:

1. Use HTTPS for Data Transmission

SSL/TLS Encryption: Ensure that all data transmitted between AI API ZAP and the target platforms is encrypted using HTTPS. This protocol uses SSL/TLS to encrypt the data in transit, protecting it from eavesdropping and tampering.

2. Implement AES256 Encryption

Data at Rest Encryption: For data stored on servers or databases, use AES256 encryption. This is a strong symmetric encryption algorithm that provides a high level of security for data at rest.

3. TwoFactor Authentication (2FA)

Add an Extra Layer of Security: Implement twofactor authentication (2FA) for accessing AI API ZAP and the target platforms. This adds an additional layer of security by requiring users to provide two forms of identification before gaining access.

4. Secure Token Management

Manage API Tokens Securely: When using API tokens for authentication, ensure they are securely stored and transmitted. Use secure methods for token generation and storage, and consider implementing token rotation to minimize the risk of token compromise.

5. Regular Security Audits and Updates

Stay Updated: Regularly update AI API ZAP and the target platforms to the latest versions to ensure that you have the latest security patches and improvements. Conduct security audits to identify and fix vulnerabilities.

6. Compliance and Certifications

SOC 2 and SOC 3 Compliance: Ensure that AI API ZAP and the target platforms are SOC 2 and SOC 3 compliant. These certifications indicate that the platforms have been audited and found to meet certain security, availability, processing integrity, confidentiality, and privacy criteria.

7. Custom Data Retention Policies

Data Retention: Implement custom data retention policies that align with your organization's needs and comply with relevant data protection regulations. This includes defining how long data is stored and how it is disposed of securely.

8. AI-Assisted Security Measures

Leverage AI for Security: Utilize AI to enhance security measures, such as identifying potential vulnerabilities, detecting anomalies in data patterns, and generating secure code snippets or configurations for authentication, authorization, and encryption within the API.

By implementing these security measures, you can significantly enhance the security of data being exchanged between AI API ZAP and target platforms. This approach ensures that sensitive information is protected from unauthorized access and that the data exchange process is secure and reliable.

TO INTEGRATE YOUR AI API ZAP WITH ZAPIER,

To integrate your AI API ZAP with Zapier, you'll need to follow a series of steps to create a seamless connection between your AI tool and other applications in your tech stack. This integration will allow you to automate workflows, boost productivity, and leverage the capabilities of your AI API ZAP in various scenarios. Here's a step by step guide based on the information provided:

Step 1: Obtain Your API Key

First, you need to obtain an API key from your AI API ZAP. This key is essential for authenticating your account with Zapier. You can usually find your API key in the settings section of your AI app.

Step 2: Create a Zap in Zapier

Choose the trigger app (e.g., Salesforce, Zendesk) and the trigger event (e.g., new customer information, new support ticket).

Set up the trigger by following the prompts, which may include specifying the account or data source.

Step 3: Add an Action Step with Your AI API ZAP

After setting up the trigger, click on "Add a Step" and choose "Action."

Search for your AI API ZAP in the action app search bar. If it's not listed, you may need to create a custom integration.

Select the action you want to perform with your AI API ZAP (e.g., sentiment analysis, content generation).

You'll be prompted to enter your API key. Paste the key you obtained from your AI API ZAP settings.

Configure the action by specifying the necessary details, such as the text to analyze or the type of content to generate.

Step 4: Use Memory Key for Continuous Conversations

If your AI API ZAP supports it, you can use the Memory Key feature to maintain context across different Zaps. This is particularly useful for creating a cohesive experience across multiple interactions with your AI tool. For example, you could use the Memory Key to track customer information across different Zaps, allowing your AI to provide personalized responses based on the entire conversation history.

Step 5: Test and Activate Your Zap

Before activating your Zap, test it to ensure it works as expected. Zapier will simulate the trigger and action to verify the integration.

Once you're satisfied with the test results, activate your Zap. It will now run automatically, integrating your AI API ZAP with the chosen trigger and action apps.

By following these steps, you can integrate your AI API ZAP with Zapier, enabling automated workflows that leverage the power of AI in your applications. This integration can significantly enhance productivity and efficiency, allowing you to focus on more strategic tasks while your AI handles repetitive or complex tasks automatically.

PYTHON SNIPPET DEMONSTRATING THE INTEGRATION OF AI API, API, and REST API:

```python

import requests

from textblob import TextBlob

# AI API: Sentiment Analysis using TextBlob

def analyze_sentiment(text):

analysis = TextBlob(text)

sentiment = analysis.sentiment

return sentiment.polarity, sentiment.subjectivity

# API: Calling a REST API (e.g., OpenWeatherMap API)

def get_weather_data(api_key, city):

url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}"

response = requests.get(url)

return response.json()

# Integration: Combining AI and REST APIs for sentiment analysis on weather data

def sentiment_analysis_on_weather_data(api_key, city):

weather_data = get_weather_data(api_key, city)

weather_description = weather_data['weather'][0]['description']

polarity, subjectivity = analyze_sentiment(weather_description)

return polarity, subjectivity

api_key = "your_openweathermap_api_key"

city = "Rio de Janeiro"

sentiment_result = sentiment_analysis_on_weather_data(api_key, city)

print(sentiment_result)

```

LIST OF ITEMS THAT YOU MIGHT NEED TO CONSIDER WHEN WRAPPING UP AN API PROJECT:

1. Documentation:

- Write comprehensive documentation for the API, including detailed descriptions of endpoints, request/response formats, authentication mechanisms, and error handling.

- Provide examples and sample code snippets to help developers understand how to interact with the API.

2. Testing:

- Implement thorough unit tests to ensure the functionality of individual components and modules.

- Create integration tests to verify the correct behavior of the API when different components interact with each other.

- Perform load and stress testing to assess the API's performance and scalability under various load conditions.

3. Security:

- Implement proper authentication and authorization mechanisms to secure the API.

- Ensure data encryption is in place for sensitive information.

- Conduct security audits and penetration testing to identify and address potential vulnerabilities.

4. Deployment:

- Set up a robust and scalable deployment pipeline for seamless updates and rollbacks.

- Configure monitoring and logging tools to track the API's performance, errors, and usage metrics.

- Implement caching mechanisms, if applicable, to improve response times and reduce server load.

5. API Versioning:

- Establish a versioning strategy for the API to accommodate future changes and enhancements.

- Provide guidelines and documentation for developers on how to handle API version changes.

6. Error Handling:

- Implement consistent and informative error handling mechanisms.

- Define and document error codes and messages to help developers understand and troubleshoot issues.

7. Rate Limiting:

- Implement rate limiting mechanisms to prevent abuse and protect the API from excessive load.

- Configure appropriate rate limits based on your use case and resource constraints.

8. Third-Party Integrations:

- If your API integrates with third-party services or APIs, ensure that the necessary configurations and credentials are in place.

- Test and validate the integrations thoroughly.

9. Maintenance and Support:

- Establish processes and procedures for ongoing maintenance, bug fixes, and feature enhancements.

- Provide support channels and resources for developers using your API.

10. Deprecation Plan:

- Define a deprecation strategy and timeline for retiring outdated API versions or endpoints.

- Communicate the deprecation plan to developers well in advance to allow for migration to newer versions.

ZAP SCRIPT

This is a sample script `ZaScript` that represents the AI API ZAP platform, we'll focus on demonstrating how to interact with an API using Python, inspired by the ZAP API documentation and examples provided in the sources. This script will simulate a basic interaction with an API, showcasing how to authenticate, make requests, and handle responses, which are fundamental aspects of API integration and control.

```python

import requests

# Define the base URL of the API you want to interact with

base_url = "https://api.example.com"

# Define the endpoint you want to access

endpoint = "/data"

# Define the headers for the API request

headers = {

"Content-Type": "application/json",

"Authorization": "Bearer YOUR_ACCESS_TOKEN"

}

# Define the payload for the API request (if any)

payload = {

"param1": "value1",

"param2": "value2"

}

# Make a GET request to the API

response = requests.get(f"{base_url}{endpoint}", headers=headers, json=payload)

# Check if the request was successful

if response.status_code == 200:

# Parse the JSON response

data = response.json()

print("Data received from the API:", data)

else:

print(f"Failed to retrieve data. Status code: {response.status_code}")

```

This script demonstrates a simple interaction with an API, including setting up the request headers (including an Authorization header for authentication), defining a payload (if the API requires it), and making a GET request to retrieve data. The script then checks the status code of the response to determine if the request was successful and prints the received data or an error message.

INTERACT WITH LINKEDIN'S API

This example is a basic representation of how an AI API ZAP platform might interact with APIs, showcasing the core functionalities required for API integration and control. It's important to note that real-world applications would require more sophisticated error handling, security measures, and possibly more complex interactions with the API, depending on the specific requirements of the AI API ZAP platform.

To integrate with LinkedIn using Python, we'll leverage the `linkedin-api-python-client` library as mentioned in the sources. This library simplifies the process of making requests to LinkedIn's APIs, handling authentication, and parsing responses. The example below demonstrates how to fetch the current user's information using a 3-legged access token with the "openid" and "profile" scope.

First, ensure you have the `linkedin-api-python-client` installed:

```bash

pip install linkedin-api-client

```

Then, you can use the following script to make a simple GET request to fetch the current user's information:

```python

from linkedin_api.clients.restli.client import RestliClient

# Initialize the RestliClient

restli_client = RestliClient()

# Replace <THREE_LEGGED_ACCESS_TOKEN> with your actual access token

access_token = "<THREE_LEGGED_ACCESS_TOKEN>"

# Make a GET request to fetch the current user's information

response = restli_client.get(

resource_path="/userinfo",

access_token=access_token

)

# Print the user's information

print(response.entity)

```

This script is a basic example of how to interact with LinkedIn's API using Python. It demonstrates fetching the current user's information, which requires a 3-legged access token with the appropriate scopes. Remember to replace `<THREE_LEGGED_ACCESS_TOKEN>` with your actual access token obtained through LinkedIn's OAuth 2.0 flow.

For more complex interactions, such as posting shares, inviting connections, or accessing organization data, you would need to use different endpoints and possibly additional scopes, depending on the specific LinkedIn API features you wish to utilize. Always refer to LinkedIn's API documentation and the `linkedin-api-python-client` library's documentation for the most up-to-date information and best practices.

To integrate with Facebook using Python, we'll leverage the `requests` library to make HTTP requests to the Facebook Graph API. This example demonstrates how to fetch publicly available data from Facebook, such as events related to a specific search term.

First, ensure you have the `requests` library installed:

```bash

pip install requests

```

Then, you can use the following script to make a GET request to fetch events related to a specific search term:

```python

import requests

# Define your access token obtained from Facebook Developer Console

access_token = "YOUR_ACCESS_TOKEN"

# Define the search term for events

search_term = "Flamengo Soccer Team"

# Define the base URL for the Facebook Graph API

base_url = "https://graph.facebook.com/v13.0"

# Define the endpoint to search for events

endpoint = f"/{base_url}/search?q={search_term}&type=event&limit=10000&access_token={access_token}"

# Make a GET request to the Facebook Graph API

response = requests.get(endpoint)

# Check if the request was successful

if response.status_code == 200:

# Parse the JSON response

data = response.json()

print("Events related to 'Flamengo Soccer Team':", data)

else:

print(f"Failed to retrieve events. Status code: {response.status_code}")

```

This script demonstrates how to interact with the Facebook Graph API using Python. It fetches events related to the search term "Flamengo Soccer Team" and prints the response. Remember to replace `"YOUR_ACCESS_TOKEN"` with your actual access token obtained through Facebook's OAuth 2.0 flow.

To integrate with Facebook using Python, we'll leverage the `facebook-sdk` library, which simplifies the process of making requests to the Facebook Graph API. This example demonstrates how to fetch publicly available data from Facebook, such as events related to a specific search term.

First, ensure you have the `facebook-sdk` library installed:

```bash

pip install facebook-sdk

```

Then, you can use the following script to make a GET request to fetch events related to a specific search term:

```python

import facebook

# Define your access token obtained from Facebook Developer Console

access_token = "YOUR_ACCESS_TOKEN"

# Initialize the GraphAPI object

graph = facebook.GraphAPI(access_token=access_token, version="3.1")

# Define the search term for events

search_term = "Flamengo Soccer Team"

# Fetch events related to the search term

events = graph.request('/search?q={}&type=event&limit=10000'.format(search_term))

# Print the events

print(events)

```

For more complex interactions, such as posting content, managing pages, or accessing user profiles, you would need to use different endpoints and possibly additional scopes, depending on the specific Facebook API features you wish to utilize. Always refer to Facebook's API documentation for the most up-to-date information and best practices.

RDIDINI PROMPT ENGINEER

[email protected]

0 notes

salesmotivation · 2 years ago

Text

How to add credentials of Firebase

Firebase is a powerful platform that offers various tools and services to support your marketing efforts. To leverage its capabilities effectively, it is important to add credentials correctly. In this guide, we will walk you through the process in a crisp and clear manner: Create a Firebase Project:

Before adding credentials, start by creating a Firebase project on the Firebase console. – Provide necessary details like project nameand select relevant optionsfor integration. – Once created, you’ll have access to various Firebase services within your project. Set Up Authentication: Authentication allows users to sign up or log in using their email addresses or social media accounts. -* Enable authenticationin your Firebaseprojectby followingthe provided instructions.* Choose the authentication methods suitable for your target audience. Configure Realtime Database or Firestore :

Realtime Database and Firestore are NoSQL databases offered by Firebase. – Select either databasebasedon your requirements,and configureitwithinyourFirebase project. – Define data structures,collections,and fieldsas per your marketing needs. Generate API Keys & Credentials :

To integrate with external applicationsor platforms,you need API keysand other necessarycredentials..

-* Navigate toyourFirebaseproject settings& locatethe sectionto generateAPI keys.& credentials.*

Followthe giveninstructionsfor generatingthese keys securely. Adding Credentials to Your Application/Website :

Once you have generated the required credentials,it’s time to add them toyour applicationor website..

-* Access therelevant configurationfilesof your applicationor websitewhereyou’ve integratedFirebase.*

Enterthe correct API keyand other credentialsto establisha connectionwith firebase services. Set Permissions & Security Rules:

Ensure proper permissions and security rules are set up for accessing data within Firestore or Realtime Database. – Define rulesbasedon user rolesand data sensitivity. – This helps protectyour datafrom unauthorized accessor manipulation. Enable Cloud Messaging :

Firebase Cloud Messaging (FCM) allows you to send push notifications and engage with your users.

-* Enable FCMwithin yourFirebaseproject settings.*

Followthe instructionsprovided byFirebaseto integrate itwith your applicationor website. Integrate Analytics & Performance Monitoring:

Firebase offers analytics and performance monitoring tools to track user behavior and optimize app performance.

-* IntegrateAnalytics& PerformanceMonitoringas per the providedinstructions.*

Utilizethese toolsto gaininsightsinto user engagement,retention,& identifyperformance bottlenecks. Test Your Setup & Monitor:

After adding credentials,test the setup thoroughlyto ensure everything is working correctly.. – Performvarious testson different devicesand platforms,to confirmproper functionality.& data synchronization – Continuously monitorFirebase’sdashboardand logsfor any errors or unusual activities.

Adding credentials of Firebase is a crucial step in leveraging its powerful features for marketing purposes. By following the steps outlined above, you can create a Firebase project, set up authentication, databases, and enable services like Cloud Messaging. Ensure proper security measures are implemented and regularly monitor the dashboard for insights into user behavior. With Firebase, you have a robust platform at your disposal to enhance your marketing efforts effectively

#gamification #saas #b2bmarketing #startup

0 notes

androidtrainingtips · 2 years ago

Text

Android Training in Chandigarh: Unlock Your Career in Mobile App Development

In today’s digital world, mobile applications have become an integral part of our daily lives. With billions of smartphone users globally, Android stands out as the dominant platform powering over 70% of mobile devices worldwide. This massive reach has created an enormous demand for skilled Android developers who can design, develop, and maintain robust mobile apps.

If you are in Chandigarh or planning to move here, pursuing Android training in Chandigarh is an excellent step toward building a rewarding career in mobile app development. This article explores everything you need to know about Android training in Chandigarh—from why it’s important to what you should look for in a training institute.

Why Choose Android Development?

Android is an open-source platform developed by Google. Its flexibility and wide adoption have made it the preferred choice for developers and businesses alike. Here are some reasons to consider a career in Android development:

Huge Market Demand: With millions of Android apps on the Google Play Store, companies are constantly looking for developers to create innovative applications.

High Salary Prospects: Skilled Android developers are well-compensated due to their specialized knowledge.

Versatility: Android development skills open doors to work in startups, IT companies, freelance projects, and even launch your own apps.

Constant Innovation: Android regularly updates with new features, keeping developers challenged and engaged.

Global Reach: Apps developed on Android reach a worldwide audience, providing a global career scope.

Why Chandigarh for Android Training?

Chandigarh, known as "The City Beautiful," is a growing hub for IT and software development. The city offers numerous benefits for tech learners:

Proximity to IT Companies: Chandigarh and the surrounding tri-city area (Mohali, Panchkula) host many IT firms that regularly hire Android developers.

Educational Infrastructure: The city has excellent institutes offering cutting-edge training programs.

Affordable Cost of Living: Compared to metro cities like Delhi or Bangalore, Chandigarh offers affordable living and training costs.

Supportive Learning Environment: Chandigarh’s student-friendly atmosphere and availability of resources create a positive environment for tech education.

What Does Android Training in Chandigarh Include?

A comprehensive Android training program covers the core concepts and practical skills required to build professional Android applications. Key topics usually include:

1. Java/Kotlin Programming

Basics of Java or Kotlin (Kotlin is now the preferred language recommended by Google)

Object-oriented programming concepts

Exception handling and data structures

2. Android Studio and SDK

Installing and configuring Android Studio (official IDE)

Using Android SDK tools and emulator setup

Project creation and management

3. User Interface Design

Layouts (LinearLayout, RelativeLayout, ConstraintLayout)

Views and widgets (Buttons, TextView, RecyclerView)

Material design principles for creating intuitive UI

4. Activity and Fragment Lifecycle

Understanding the activity lifecycle

Managing fragments for modular UI components

Handling user interactions

5. Data Storage and Management

Shared Preferences

SQLite databases

Room persistence library

Working with JSON and APIs for data exchange

6. Networking and APIs

Connecting apps to RESTful APIs

Parsing JSON/XML data

Using libraries like Retrofit and Volley

7. Advanced Topics

Firebase integration (Authentication, Realtime Database, Cloud Messaging)

Push notifications

Background services and Broadcast receivers

Google Maps integration

Working with sensors and cameras

8. Testing and Debugging

Unit testing Android apps

Debugging tools and best practices

Performance optimization

9. Publishing and Maintenance

Preparing apps for release

Play Store guidelines and submission process

App updates and maintenance strategies

Benefits of Android Training in Chandigarh

Hands-On Learning: Chandigarh’s institutes emphasize project-based learning, allowing students to build real-world applications.

Expert Trainers: Experienced trainers with industry exposure guide students through concepts and practical challenges.

Placement Assistance: Many training centers provide placement support with tie-ups to IT companies in and around Chandigarh.

Certification: Accredited certifications help validate your skills to potential employers.

Networking Opportunities: Training institutes often facilitate interaction with professionals and organize seminars, workshops, and hackathons.

How to Choose the Right Android Training Institute in Chandigarh?

With many options available, choosing the right Android training institute can be overwhelming. Here are some factors to consider:

1. Curriculum Quality

Ensure the syllabus covers the latest Android versions, languages (Kotlin), and includes both basic and advanced topics.

2. Trainer Expertise

Look for trainers who have industry experience and a solid track record of successful student placements.

3. Practical Exposure

Check if the institute offers project-based learning and opportunities to work on live projects.

4. Placement Support

Verify if the institute provides interview preparation, resume building, and job placement assistance.

5. Reviews and Testimonials

Read student feedback and reviews online to gauge the reputation of the training center.

6. Infrastructure and Tools

Modern computer labs with the latest software and high-speed internet are essential for effective learning.

7. Flexibility and Support

Look for flexible batches (weekend/weekday/online), study materials, doubt clearing sessions, and mentorship.

Top Android Training Institutes in Chandigarh

Here are some reputed names known for Android training (you may want to verify current details):

Tech Shiksha Chandigarh: Known for in-depth Android courses and placement support.

SEED Infotech: Offers industry-oriented training with hands-on projects.

APTRON Solutions: Good for comprehensive mobile app development training.

CBitss Technologies: Experienced faculty and live project experience.

Nettechnocrats: Focuses on practical knowledge with live projects and interview preparation.

Tips to Succeed in Android Training

Practice Regularly: Coding is a skill honed by continuous practice. Build small apps on your own.

Understand Concepts, Don’t Just Memorize: Focus on the ‘why’ behind each Android component and lifecycle.

Explore Official Documentation: Google’s Android developer site is a treasure trove of information.

Stay Updated: Android platform evolves frequently. Keep learning new features and APIs.

Work on Projects: Try building apps that solve real problems or automate tasks.

Join Developer Communities: Participate in forums like Stack Overflow, Reddit Android Dev, and GitHub.

Career Opportunities After Android Training

Completing Android training can open multiple career paths such as:

Android Developer: Design and develop apps for smartphones and tablets.

Mobile UI/UX Designer: Focus on the user experience and interface.

Mobile App Tester: Test apps for functionality and bugs.

Freelancer: Build apps for clients independently.

Entrepreneur: Launch your own startup with innovative Android applications.

Backend Developer: Combine Android skills with backend technologies for full-stack mobile development.

Final Thoughts

Android training in Chandigarh offers a promising gateway to the booming mobile app development industry. With the right training institute, a solid curriculum, and dedicated effort, you can master Android development and secure lucrative job roles in the IT sector.

Whether you are a student, a working professional aiming for a career switch, or a freelancer wanting to sharpen your skills, investing in Android training in Chandigarh is a wise choice. The city’s supportive learning environment, affordable training options, and growing IT market make it an ideal destination for your Android development journey.

Start today, stay curious, and build the apps that shape tomorrow!

#android training

0 notes

tommosupport · 4 years ago

Text

We get some asks from time to time about where to get data from. Of course, we want to preface this by saying that you need proper context in order to be able to use the data fully and build on it. Nevertheless, there are a bunch of platforms available for you to use - we’ve added caveats where necessary.

1. Kworb (http://kworb.net)

a. Provides realtime iTunes chart updates for both singles and albums, as well as iTunes popularity updates for both singles and albums. You can sort by country or get worldwide data, and the platform also offers some data on YouTube and other metrics, such as Artist Popularity.

b. Drawbacks: Keep in mind that even though it’s realtime, there is a lag in Kworb’s data nonetheless. Popularity is updated only every four hours or so. iTunes charts will update more regularly, but will lag behind what people may already be able to see in their own iTunes stores.

2. DigitalSalesData (http://digitalsalesdata.com)

a. This website used to be able to provide you with the sales numbers for singles on iTunes charts.

b. Drawbacks: It no longer gives accurate data, because this is no longer included in the iTunes Store API. Nonetheless, it does give you an indication of the market as a whole in a country – are the margins to get into the Top 10 close or not, and what’s the sales velocity like? Keep in mind that these numbers therefore should be interpreted, and not just blankly copied or taken as reflective of the actual sales numbers.

3. Chartmetric (http://chartmetric.com)

a. Probably one of the most elaborate websites that lets you collect many KPIs from various platforms – TikTok, Shazam, Spotify, AppleMusic, YouTube, etc. They have over 25 different data sources. It also shows you things like fan conversion rate (the ratio of monthly listeners vs artist followers on Spotify, for example), and lets you sort playlists on whether they are editorial, personalized or both. They provide data on trends and give you updates in percentages as well when it comes to relative change in subscribers, views, etc. There’s a separate section on social insights, too. They also developed their own cross-platform index which is a useful tool to see if an artist is able to really create a robust fan foundation across all various social platforms. Chartmetric regularly publishes interesting pieces on their latest finds and data analysis. Reading them will help you understand the data they offer, and will let you know how to interpret it all.

b. Drawbacks: You can only follow up to 5 tracks/items and get email notifications for the free version. And most importantly, you need to actually put in some work to understand how you can interpret their data points. Otherwise it can be overwhelming, or you may just copy-paste the numbers without contextualizing them, which isn’t going to help anyone. It’s great for trends, but you need to be able to identify those and explain them, supported by the numbers. You also don’t have as much insight into radio on the free platform.

4. Songstats

a. Similar to Chartmetric, SongStats offers data on an artist and their discography, using various inputs (Spotify, Beatport, AppleMusic, Deezer, Shazam, SoundCloud, Amazon, Instagram, Twitter, TikTok, TraxSource, 1001 Tracklists, YouTube, iTunes). It can also provide you with an overview of the top current playlists where any music by Louis is playlisted. You can customise what data inputs you want to see.

b. Drawbacks: The data they provide for the free version is very limited, and while they do provide some analytics for free – those are all cumulative data. For example, they’ll say Defenceless is on 114 playlists and has a reach of 2,04M. This is in total, across time. It is not always current, so again you have to be very careful with reading the data they give you in analytics, and how you need to interpret it. It also depends per input source. iTunes & AppleMusic do offer a distinction between current or total/cumulative.

5. Soundcharts (http://soundcharts.com)

a. Similar to Chartmetric and Songstats (more like Songstats in how it’s formatted, but more like Chartmetric in the data it lets you see). Very useful specifically if you want to see a breakdown of radio play per country.

b. Drawbacks: This is only free for two weeks, then plans start at 41$ a month. Moreover, again, be careful in how you interpret data. They don’t properly account for syndicated shows, and they use a questionable metric to track audiences. It also makes no distinction between internet/terrestrial radio. (There’s a difference, because internet radio is traditionally not counted for charting, whereas airplay on ‘terrestrial’ radio does count if radio is tracked for charting purposes like in the US). When you look at e.g. radio play, make sure to use the function to filter out plays shorter than 30 seconds!

6. SpotifyCharts (http://spotifycharts.com)

a. The official site of Spotify that updates on Viral and Top 200 playlists. You may find that there’s a difference between the numbers shown here and on an artist’s own profile. It’s because these numbers have been audited extra carefully to filter out any sort of artificial inflation or fraudulent streaming activities. These update daily around 3PM EST, usually a bit earlier than the song specific numbers.

b. Drawbacks: While they do update daily, the time thereof is incredibly irregular.

7. Chartmasters (http://chartmasters.org)

a. A site that allows you to quickly see an artist’s overall Spotify streams in a table. You can sort based on popular songs or on discography.

b. Drawback: You need an account and only get to use it 3 times a day. Make sure you use them wisely.

8. Billboard (http://billboard.com)

a. Billboard offers a variety of charts – aside from the most well known Hot 100 and Album 200 (and the Social 50 in the past). It also used to offer artist-specific overviews of peak chart positions.

b. Drawbacks: We said ‘used to’, because they technically still offer it – you just need to have a paid subscription to be able to access that data, as well as the other charts they have. Think of split-out charts on digital download sales or streaming, as well as radio airplay or genre-specific charts.

9. NextBigSound (http://nextbigsound.com)

a. NBS is monitored and used by Nielsen to compile the Social 50 for Billboard. It provides you a good overview of social media clout and activity. It also gives margins as to whether or not an artist’s activity and engagement are on par with what you’d expect of an artist what x amount of followers, for example. Also unique: It gives you insights in Pandora. Pandora is part of SiriusXM, as well as its own streaming service and is therefore influential in US radio play as well.

b. Drawbacks: It only tracks a limited amount of data sources (Facebook, Pandora, Twitter, Wikipedia), and used to provide more insights as to e.g. gender & country demographics. It no longer will do that, unless you have access to an artist’s AMP on Pandora.

10. Radio Airplay Chart UK (http://ukairplaychart.com/)

a. Gives you an overview of Top 40 songs being played on UK radio. You can also choose whether you want a rolling overview or see last chart week.

b. Drawbacks: It doesn’t tell you how often a song needs to be played and if this is based on audience or amount of plays (or when songs were most often played)

11. AllAccess (http://allaccess.com)

a. This is the database that is most often used by radio in the US to find new songs to play and to track radioplay across the country. It’s also a great platform to keep updated with the latest changes in terms of program directors or hosts at particular radio stations (which is useful when requesting). It will show you when a song was played and how often, and the estimated audience that was reached. All these things factor in airplay charting, so it’s nice to have a breakdown of it. It’ll also tell you which radio stations are giving support.

b. Drawbacks: You need to have an existing account with them and you need to know how to navigate their platform, which can be quite tricky. Moreover, they use the callsigns of radio stations, which can further complicate finding the data you need, because you’re most likely not going to be familiar with those.

12. SpotonTrack (http://spotontrack.com)

a. Sends you daily reports of Spotify and AppleMusic tracking data for a song. Useful for playlist updates!

b. Drawbacks: Only lets you track one song for two weeks in the free trial, after that you’ll have to pay for the service. You could technically also monitor radioplay, but this is not available for free trial users.

13. RadioMonitor (http://radiomonitor.com)

a. This site shows you radio charts around the world, but can also provide aggregate data for particular regions.

b. Drawbacks: Only useful once a song has started charting in airplay Top 10s.

14. WARM Music (https://warmmusic.net/)

a. Allows you to track radio play starting from 3E per month

b. Drawbacks: Not sure how accurate their data is, though they monitor over 28000 stations around the world. When using the free trial from time to time, it always seemed somewhat limited and not in step with what other sites would say (i.e., currently it says Defenceless was only played 49 times in total over the past two weeks. We know this is not correct.).

#info #resources

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mostlysignssomeportents · 5 years ago

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EFF on EU interoperability policy

My EFF colleagues Svea Windwehr and Christoph Schmon have published a major new paper on how the #EU should manage interoperability policy to ensure that Europeans can claim and preserve their rights to technological self-determination.

https://www.eff.org/deeplinks/2020/06/our-eu-policy-principles-interoperability

It's in the context of the Digital Services Act, the first major update to EU's tech regulation in a generation, intended to amend and supercede 2000's Ecommerce Directive. How DSA comes out will have a profound impact on Europeans' tech future for a generation to come.

The core principles here are to enable immunity for platforms for their users' actions and banning both filtering and mass surveillance (AKA "monitoring") of Europeans' online activities.

Only by preserving these core principles can we ensure that European tech platforms can compete with US, Russian and Chinese Big Tech, while safeguarding Europeans' fundamental rights to free expression and privacy.

Specifically, EFF wants the EU to turn away from adventures in automating mass surveillance and censorship (Avia in France, NetzDG in Germany, and the Copyright Directive) and turn its focus to smashing down the walled-garden barriers within which Big Tech holds us hostage.

To that end, EFF proposes a set of interoperability principles that will create space for alternatives to mass surveillance and the impossible and absurd idea that one company can hope to set and enforce policy governing hundreds of millions of peoples' online lives.

1. General Interoperability Obligations

Fix and expand the GDPR's "data portability" rules to close loopholes and allow Europeans to fetch their data continuously, in realtime from within the big platforms. Expose the same APIs that platforms use internally to competitors.

2. Delegatability

Allow users to designate tech providers - companies, nonprofits, coops, etc - to act on their behalf, pulling in the messages waiting for them inside Big Tech silos and pushing their replies back, without requiring them to expose themselves to surveillance.

3. Limit Commercial Use of Data

Commercial use of data made available through interop should be banned, full stop. It "should only be used for maintaining interoperability, safeguarding users’ privacy, or ensuring data security."

4. Privacy

Mandate best practices for privacy: "data minimization, privacy by design, and privacy by default" and augment them with "easy-to-use interfaces through which users can give their explicit consent regarding any use of their data (as well as revoke that consent)."

5. Security

Companies have a duty to keep users safe, but regulators musn't allow this to become a pretense for shutting down interop: "communicate transparently, resolve the problem, and reinstate interoperability interfaces within a reasonable, clearly defined timeframe."

6. Documentation and Non-Discrimination

"Interoperability interfaces shouldn't discriminate between competitors and shouldn't come with strenuous obligations or content restrictions. Interfaces, such as APIs, must also be easy to find, well-documented, and transparent."

"We must take a holistic view of digital policy, and take care that policymakers do not inadvertently give incumbents excuses to block their competitors from entering a market. "

#pluralistic

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truedatafinancialpvtltd · 3 months ago

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Real-time Market Data for Successful Trading in Indi

Real-time market data refers to live, continuously updated information about stock prices, trading volumes, bid-ask spreads, and other market activities. This data is available instantly as market transactions happen, helping investors and traders stay updated on price changes, market movements, and trading opportunities.

Real-time market data in India is provided by stock exchanges like NSE (National Stock Exchange) and BSE (Bombay Stock Exchange). It is also available on platforms like TrueData, Zerodha, Angel One, etc. where investors and traders can track stock prices and execute trades instantly.

Read Full Blog Post: Elevate Your Trading Strategy: The Role of Reliable Market Data in Achieving Success

#Authorised Data Vendor of real-time data #Realtime data for trading india #real-time stock market data api india

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ramialanko · 5 years ago

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Thoughts on Turtledove

Things are getting exciting. We are holding our breath to see what solution will eventually replace 3rd party cookies. This is almost as exciting when waiting for the final GDPR docs; we all know it is going to hurt our industry but how, how much, and exactly when. Apple has paved the way with ITP and IDFA, now Google is also making big changes to the world’s most popular browser Chrome and its Privacy Sandbox. For advertisers and traditional data vendors, this nightmare is called Turtledove.

What is Turtledove?

Turtledove will basically be an API (application programming interface) which tries to enable behavioural targeting while limiting the amount of user data that is shared with advertisers. What Turtledove is proposing is to completely re-architect the current system so that user behaviors are not stored in a remote database, they are stored in your browser and they never leave your browser. In other words, Turtledove brings the auction and final decisioning out of the cloud and into the browser. Kind of funny though, since Google — that company that lamented the terrible things the header was doing to latency while proclaiming the brilliance of server connections— now decided to leverage edge computing.

There is no official doom day date yet but it will be released sometime within the next 24 months. Note that this applies to Chrome, it is too early to say if this move has any affect on Safari and the rest.

User benefits

Questions also remain about how users would really benefit from Turtledove. Well, you could argue that it:

Eliminates third-party cookies and all cross-site tracking.

Reduces browser signals dramatically making “inferred IDs” (aka, device fingerprinting, cache inspection, link decoration etc. ) unreliable and unusable.

Enables sufficiently large user groups ascertaining anonymity of any one person/device within that group, but sufficiently small to enable relatively fine-grained reach.

Utilizes these user groups instead of device-based or cookie-based identifiers.

Potential pitfalls

At this stage, some of the pitfalls are:

Turtledove would disable many common web advertiser tactics such as frequency capping, A/B testing, attribution and reporting. For these to work, Turtledove relies on the Aggregate Reporting API. Yet another early sandbox proposal to be defined.

Turtledove could risk handing Google yet another advantage over its ad tech competitors. Only this time they are being more tactical in their approach to their antitrust practices.

An average citizen is still going to feel like being chased.

The browser turns from a relatively passive piece into an active player in the bidding. This would strain the bandwidth and computational power consumed by ad tech, particularly on mobile devices. Servers can process huge amounts of data, but data on a phone is limited by Wi-Fi, cell service and available device storage.

Complex auction logic does not seem possible. Even not-so-complex segmentation, such as merging two interest groups to create a more nuanced audience segment.

What about Safari users today, ITP and alternative solutions?

Basically this boils down to ITP (Safari, Firefox), which in turn means no cookies, my friends. And because the adtech world is built on 3rd party audiences, ITP poses an impossible challenge for marketers. Only contextual targeting seems to provide the working solution. Which in turn, can be considered a rather one-sided approach if we merely target based on the page content. But it has proven to be effective, so it is a viable solution that is able to address all browsers.

On top of old-school contextual targeting, advances in machine-learning and AI have opened up a whole new world of opportunities for intelligent targeting. Personally I am very excited about how well a system can profile a user without any PII and prior information with just a few signals at the time of the data request. It feels like magic but is actually based on years of AI and realtime scalability tuning. When compared to 3rd party audiences, this is revolutionary. Realtime moments can be seen as more relevant and efficient ways to profile and target. And the best part - it is a sustainable model and it is here now.

Final words

Targeting without personal data is set to become the new normal, and to me this now seems entirely appropriate. Advertising theories and methods have evolved continually over the years and I see this shift in ad tech, seismic as it is for many, as simply the latest chapter for this smart and agile industry. Moving away from cookies is going to be uncomfortable for many and unanswered questions do still remain. It will require loads of brainstorming, and brave minds to have the courage to try out new approaches in the new world of adtech.

The relief is that there already are future-proof solutions that indeed can replace and sometimes even more efficiently, the old world targeting cookie-based models. So heads up, this is going to be a rewarding ride!

#turtledove #privacy #gdpr #cookies

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krispyobservationmilkshake · 3 months ago

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Alltick API for Cryptocurrency Trading: How to Beat the Market with Zero-Lag Data

Cryptocurrency markets move at lightning speed. A 500ms delay can mean missing a 10% price swing. Alltick API delivers real-time crypto data from 50+ exchanges, giving traders the edge they need to outperform the market.

This article covers: ✔ Why crypto traders need zero-lag data ✔ How Alltick’s order book depth prevents slippage ✔ Case studies of profitable crypto arbitrage

The Problem with Delayed Crypto Data

Most retail traders rely on Binance/Coinbase’s free API, which has:

Rate limits (e.g., 10 requests/sec)

No real-time order book updates

Delayed futures premiums

Result?

Slippage in large trades

Missed liquidation cascades

Failed arbitrage opportunities

How Alltick Solves Crypto Trading Challenges

1. Real-Time Order Book Syncing

Tracks 50+ exchanges (Binance, Bybit, OKX, etc.)

10ms updates for liquidity snapshots

Example: Detecting a 2% price gap between Binance and KuCoin before it closes.

2. Microsecond Timestamp Accuracy

Atomic clock-synced timestamps (0.3ms precision)

Prevents front-running in HFT

3. AI-Powered Liquidity Forecasting

Predicts market impact before large trades

Reduces slippage by 38% (backtested)

Case Study: Crypto Arbitrage Bot Profits

A quant team using Alltick: ✅ Identified 47 cross-exchange arbitrage opportunities/day ✅ Reduced latency arbitrage losses by 72% ✅ Achieved 23% annualized returns (vs. 9% with delayed data)

import json

import websocket # pip install websocket-client

'''

# Special Note:

# GitHub: https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api

# Token Application: https://alltick.co

# Replace "testtoken" in the URL below with your own token

# API addresses for forex, cryptocurrencies, and precious metals:

# wss://quote.tradeswitcher.com/quote-b-ws-api

# Stock API address:

# wss://quote.tradeswitcher.com/quote-stock-b-ws-api

'''

class Feed(object):

def __init__(self):

self.url = 'wss://quote.tradeswitcher.com/quote-stock-b-ws-api?token=testtoken' # Enter your websocket URL here

self.ws = None

def on_open(self, ws):

"""

Callback object which is called at opening websocket.

1 argument:

@ ws: the WebSocketApp object

"""

print('A new WebSocketApp is opened!')

# Start subscribing (an example)

sub_param = {

"cmd_id": 22002,

"seq_id": 123,

"trace":"3baaa938-f92c-4a74-a228-fd49d5e2f8bc-1678419657806",

"data":{

"symbol_list":[

{

"code": "700.HK",

"depth_level": 5,

{

"code": "UNH.US",

"depth_level": 5,

}

]

}

# If you want to run for a long time, you need to modify the code to send heartbeats periodically to avoid disconnection, please refer to the API documentation for details

sub_str = json.dumps(sub_param)

ws.send(sub_str)

print("depth quote are subscribed!")

def on_data(self, ws, string, type, continue_flag):

"""

4 arguments.

The 1st argument is this class object.

The 2nd argument is utf-8 string which we get from the server.

The 3rd argument is data type. ABNF.OPCODE_TEXT or ABNF.OPCODE_BINARY will be came.

The 4th argument is continue flag. If 0, the data continue

"""

def on_message(self, ws, message):

"""

Callback object which is called when received data.

2 arguments:

@ ws: the WebSocketApp object

@ message: utf-8 data received from the server

"""

# Parse the received message

result = eval(message)

print(result)

def on_error(self, ws, error):

"""

Callback object which is called when got an error.

2 arguments:

@ ws: the WebSocketApp object

@ error: exception object

"""

print(error)

def on_close(self, ws, close_status_code, close_msg):

"""

Callback object which is called when the connection is closed.

2 arguments:

@ ws: the WebSocketApp object

@ close_status_code

@ close_msg

"""

print('The connection is closed!')

def start(self):

self.ws = websocket.WebSocketApp(

self.url,

on_open=self.on_open,

on_message=self.on_message,

on_data=self.on_data,

on_error=self.on_error,

on_close=self.on_close,

)

self.ws.run_forever()

if __name__ == "__main__":

feed = Feed()

feed.start()

Trade Crypto Like a Pro

With Alltick API, you’re not just trading crypto—you’re staying ahead of whales, bots, and market makers.

Start today: [Get real-time crypto data with Alltick.co]

0 notes

darpanit-blog · 5 years ago

Text

CRM script for your business

Customer relationship management (CRM) is a technology which is used for managing company’s relationships and interactions with potential customers. The primary purpose of this technology is to improve business relationships. A CRM system is used by companies and to stay connected to customers, streamline processes and increase profitability. A CRM system helps you to focus on company’s relationships with individuals i.e. customers, service users, colleagues, or suppliers. It provides supports and additional services throughout the relationship.

iBilling – CRM, Accounting and Billing Software

iBilling is the perfect software to manage customers data. It helps to communicate with customers clearly. It has all the essential features like simplicity, and user-friendly interface. It is affordable and scalable business software which works for your business perfectly. You can also manage payments effortlessly because it has multiple payment gateways.

DEMO DOWNLOAD

Repairer Pro – Repairs, HRM, CRM & much more

Repairer pro is complete management software which is powerful and flexible. It can be used to repair ships with timeclock, commissions, payrolls and complete inventory system. Its reporting feature is accurate and powerful. Not only You can check the status and invoices of repair but your customers can also take benefit from this feature.

DEMODOWNLOAD

Puku CRM – Realtime Open Source CRM

Puku CRM is an online software that is especially designed for any kind of business whether you are a company, freelancer or any other type of business, this CRM software is made for you. It is developed with modern design that works on multiple devices. It primarily focuses on customers and leads tracking. It helps you to increase the profit of your business.

DEMO DOWNLOAD

CRM – Ticketing, sales, products, client and business management system with material design

The purpose of CRM software is to perfectly manage the client relationship, that’s how your business can grow without any resistance. This application is made especially for such type of purpose. It is faster and secure. It is developed by using Laravel 5.4 version. You can update any time for framework or script. It has two panels; one is Admin dashboard and the other is client panel. Admin dashboard is used to manage business activities while client panel is made for customers functionalities.

DEMO DOWNLOAD

Abacus – Manufacture sale CRM with POS

It is a manufacture and sale CRM with pos. it can easily manage products, merchants and suppliers. It also can be used to see transaction histories of sellers and suppliers while managing your relationships with sellers and buyers. Moreover, its amazing features include social login and registration, manage bank accounts and transactions and manage payments. It also manages invoices and accounting tasks. It has many features which are powerful and simple to use.

DEMO DOWNLOAD

Sales management software Laravel – CRM

It is a perfect CRM software with quick installation in 5 steps. it is designed precisely according to the needs of a CRM software. It has user-friendly interface and fully functional sales system. Customer management is effortless by using this software. You can mange your products and invoices without any hustle.

DEMO DOWNLOAD

Sales CRM Marketing and Sales Management Software

It is a sales CRM that consists a tracking system for marketing campaigns, leads and conversions to sales. It can boost your sales up-to 500% ROI, following the normal standards of marketing. It has built in SMTP email integration which helps you to easily track your emails from the application and the leads easily. You can also track the status of campaign, ROI and sales quality. Sales CRM will proof very helpful to your business. Whether your business is small, freelancing, or a large-scale organization.

DEMO DOWNLOAD

doitX : Complete Sales CRM with Invoicing, Expenses, Bulk SMS and Email Marketing

it is a complete and full fledge sales CRM which includes invoicing, expenses, bulk sms and email marketing software that is an amazing feature for any company, small business owners, or many other business-related uses. It is a perfect tool which can organize all data efficiently. With its feature of excellent design, doitX helps you to look more professional to you clients as well as to the public. it improves the performance of your business in every aspect. You can do your sales operations while all the information is easily accessible. It also helps you to keep track of your products, sales, marketing records, payments, invoices and sends you timely notifications so that you can take appropriate actions. It can perform whole company’s operations in a simple and effortless way. It also has many other key features which your business deserves.

DEMO DOWNLOAD

Laravel BAP – Modular Application Platform and CRM

Laravel Bap is all in one application at low price with great benefits. If you are going to build a complex application that has multiple modules, rest API, fast and reliable, then this application is made for you. It is a modular backend application platform that is build by using Laravel 5.6, Twitter Bootstrap and SCSS. It is easy to extend and customize. It has over 20 amazing features.

DEMO DOWNLOAD

LaraOffice Ultimate CRM and Project Management System

LaraOffice is a complete CRM and Project management system which is a fully featured software. It has multi-login functionality. It helps to manage the daily sales, customer follow ups, meetings, invoices, marketing, services and orders. Customers’ requirements can be fulfilled by such an ultimate CRM and project management software solution perfectly. LaraOfficre CRM helps you to look more professional and authoritative to your customers as well as to the public.

DEMO DOWNLOAD

Banquet CRM – Events and Banquets management web application

Banquet CRM is a web application which is especially designed for restaurants, hotel and unique venues to increase sales and streamline the planning process. You can capture and convert new event leads from anywhere. It allows you to deliver branded, professional-looking proposals and orders quickly. It is also fast and durable. It has many features that are unique and perfect for you.

DEMO DOWNLOAD

Laravel CRM – Open source CRM Web application – upport CRM

Upport is a beautifully designed CRM application that is made exactly according to the feedback and real needs of users. Upport CRM helps you to increase sales with unique features. Its interface is user-friendly, responsive, real supportive and easy to use. CLI installer tool is provided for installation of Upport CRM for your convenience. It tracks sale opportunity easily using Kanban view. You don’t need to worry about data disaster because with auto backup feature of Upport you can easily set schedule to automatic backup from database and attachments.

DEMO DOWNLOAD

LCRM – Next generation CRM web application

LCRM is a modern CRM web application with a lot of features. It has three sections admin, staff and customers respectively. LCRM has many unique modules. It is a complete functional CRM and sales system. If your business needs new customers and growing sales then LCRM is perfectly made for you. It holds various advantages like recording the leads, showing the opportunities, sales team targets, actual invoices of entries. Moreover, it has amazing features like real time notifications with pusher.com, backup data to dropbox and amazon s3, repository pattern and single page application (SPA) that is appropriate with VueJS.

DEMODOWNLOAD

Microelephant – CRM & Project management system built with Laravel

Microelephant CRM is a web-based software which provides customer relationship & Project management and billing facilities. It is suitable for almost every company. It is developed by using Laravel 5.7 and Bootstrap 4.2 CSS framework. It has unique features like client portal for each customer, leads management. Tasks & timesheet, customers and contacts management, proposals, electronic signature, credit notes and invoices.

DEMO DOWNLOAD

Incoded CRM – Customer Relationship Management System

Incoded CRM – Customer relationship management system is developed according to the feedback of project managers and business owners who actually use it. After findings the key ideas which we need the most, we gathered these ideas in one place and make this CRM out of these ideas perfectly. Now it is shared with the world. It hasn’t stopped progressing yet because it is expanding everyday as more and more ideas are coming. It is an app which updates itself every day.

It has multiple unique features. As the top entity in the CRM is Work space Incoded CRM is organized in work spaces. You can use it to easily separate and organize your resources, projects, tasks etc. work spaces have their own dashboards. It contains major and contemporary information form the CRM i.e. notes, activities and tasks, tasks chart etc.

DEMO DOWNLOAD

Zoho CRM

CRM systems play an imperative role to manage your sales revenue, sales teams, and most importantly increase customer relationships. You don’t have to worry about it because Zoho CRM is the system which fulfill all your needs. It is loaded with features to help you start, equip, and grow your business for free, for up to 3 users.

It manages users, profiles and roles efficiently. You can easily import data for free with import history and manage your leads, accounts, contacts and deals by using Zoho CRM. It can also export any module data and import leads directly with the business card scanner.

Zoho CRM turn data into sales. You can sell through telephony, email, live chat, and social media. It gets you real-time notifications when customers interact with your brand and add tasks, calls, and events, and sync them with your calendar. It helps you to collaborate with your team through feeds and give you access to multiple CRM views.

It Makes planning and expanding easier. You can get 1GB file storage & 25k record storage and set up recurring activities for your team. It helps you to export activities to google calendar and google tasks.

DEMO DOWNLOAD

Powerful CRM – LiveCRM Pro

LiveCRM pro is a perfect and complete CRM solution with fully PHP7 compatibility. It has unique features and developed by using Yii 2.0 framework. It has excellent sales system that manage leads store all the leads and organization information that your sales process demands. You can look up leads and the associated contact and business information ins a few seconds. The method which is integrated in it is paypal payment gateway. It provides precise customer management and user management. It also has a unique feature of messenger and chatting system.

DEMO DOWNLOAD

#Latest emoji for twitter and facebook - Go to Website : http://darpanit.com/latest-emoji-for-twitter-and-facebook/

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trawexonline · 1 year ago

Text

Hotel API

Universal API - Great advantages for your business! A world of travel content for

Online Travel Agencies

Tour Operators

Corporates

Travel Management Companies

Hotel API Advantages

Choose the modules that are right for you.

Access to excellent negotiated rates.

wider choice of hotels.

Realtime availability and confirmation.

Booking is simple.

Mapping and De-duplication

Clean & accurate data

Easy to Integrate

Integration Support

Personalised service

Cost savings

Search, Book, Confirm – Through a Single API Integration

Hotel API Features

Flexible, scalable and easy to integrate and implement

Build and update customised travel booking applications

built on scalable Open System architecture

Decreased development costs and time to market

Custom-designed solutions which maximise efficiency

Completely scalable and Web 2.0 compliant

Reliable and robust,

Independent of language and application framework

real time streaming of prices for your users

Continually optimised product solutions

RESTful API format, with JSON or XML responses available

Browse and Live prices feeds

Why Trawex Universal Hotel API

Extend the Functionality of Your Website with Hotel Booking Engine API

Our Partner-Focused Approach Is Long-Term; Supporting You Through Integration, Optimization and Business Growth.

Trawex Hotel API offers rich hotel content that is generally not available in other Travel Aggregators. Our online booking system allows our clients to access our vast hotel inventory from anywhere in the world swiftly. Best Hotel Booking Engine is specialized in reserving hotels online with very best hotels available. By integrating this travel and tourism API with your own software solution, you as a travel service supplier can provide hard to beat travel related solutions to your potential clients. It helps in travel and tourism business to help get the Hotel reservation done easily . Trawex Hotel API provides comprehensive descriptions including room types, images, and facilities, of over 500,000 properties worldwide. As one of the trusted API providers Globally specialized in Hotel API Integration. All our services are integrated, tested and maintained by experienced team of professionals.

Integrate Your Website with API for Seamless Business Operation

Why choose Trawex for Hotel API Integration?

Hotel xml Api

Hotel reservation system

Why Trawex universal hotel Api?

It gives you an advantage over your competitors.

It improves your efficiency as a business

Features:

Real-time integrations

Quick Booking Confirmations

Fast, Robust and scalable

Fully Flexible

Customizable response

Automatic end to end invoicing

Easy to use solutions for booking via call centre

Our Hotel API offers you the following benefits:

Easy hotels reservation facility is available for entire world.

Our service covers nearly all major service providers of hotels.

We provide a powerful backend support through our unblemished services.

No need of huge investment to start hotels reservation.

Boom in hotels industry Favors promising results.

Hotel Reservation API Provides a great Value addition to Existing Website or business.

Working capital depends on your daily transactions.

No minimum deposits and balance maintenance required

For more details, Pls visit our website:

#Hotel API #Hotel Reservation Systems #Best Hotel Booking Engine

0 notes

incipientinfotech · 2 years ago

Text

Golang vs NodeJS : Who Will Win the Ultimate Programming Showdown?

Today, web programmers have a vast range of programming languages to choose from when building websites. This allows them to find the best option for the task at hand.

Programming languages and frameworks aren’t just useful for front-end development; they can also be used to create backend applications.

In most web apps, there is more non-UI code than the code which is straightly related to user interaction. This means that a lot of the application’s functionality resides outside of the interface elements users see and interact with on a daily basis.

These are all tasks that need to be completed in order for data to be processed and used effectively.

Backend development involves writing code to make interfaces between systems, most notably APIs and cross-platform applications. Developers also commonly work with non-interface components, such as libraries and executables.

You may be familiar with Node JS, a popular backend development language. However, there are other programming languages available on the market that can also be used in this role.

Google’s Go language is currently leading the way in backend framework programming, as well as being compatible with React Native. Additionally, both Nodejs and Golang can be used together with this popular mobile development platform.

In this story, we’ll be comparing Node JS and Golang. However, before we get started, let’s make sure we have the basics straight.

What Is Golang?

Golang is a language developed by Google in 2009. It is designed to be simple, efficient, and scalable; furthermore, it has been proven particularly well-suited for building large systems. Golang also happens to be closely related to the C programming language with extra specification such as garbage collection and dynamic typing. As such, Golang can provide developers with an easy platform from which they can create robust applications

Go is known for its simplicity and ease of use, which creates it a popular choice among developers who are impending from other languages. Go lacks many of the more common libraries found in other programming languages, allowing tasks such as attaching to databases or making HTTP requests to be accomplished with external modules.

Go is a versatile language that is used in a variety of applications, from server infrastructure to networked programs and commandline tools.

According to the Report, Go is used by only 0.1% of web servers on popular websites. This data was sourced from Source W3Techs.

what is Nodejs?

Node.js is an open-source JavaScript run time environment that enables scripts to be run out-side of a web browser. It was created with the aim of building robust network apps and excels in instances where high concurrency is required, like real-time apps.

Node.js utilizes , nonblocking I/O model which creates it lightweight, an event-driven and efficient for data-intensive realtime apps that run over distributed devices. This choice is especially appealing given the growth of cloud computing services

Node.js is based on the V8 JS engine, which is also used in Google Chrome and other popular applications. Node.js is regularly used for developing server-side apps, but it can also be applied to desktop apps through its use of the command line interface or platform APIs.

on the report of W3Techs, Node.js is used by above 2% of all web servers in use today. This indicates that it has become a popular platform for website development.

Golang Vs Node: What Makes Them Powerful?

Go is one of the most popular programming languages on the market today. It offers high productivity and support for multiple cores, making it an ideal choice for intensive tasks. On the other hand, Node comes equipped with everything a developer needs to get started, including a runtime environment.

Pros and Cons of Nodejs

Pros and Cons of Golang

Which Companies Are Using Them?

In order to remain competitive in the quickly changing business world, companies are seeking cutting-edge technologies that provide increased quality and faster performance. Now is a good time to investigate which features tend to be common among brands who turn to Node.JS for backend development — after thoroughly gauging Golang’s capabilities.

Companies using Node.js

Google

Medium

Intel

Uber

BBC

Companies using Go

PayPal

Trello

Netflix

eBay

In this article, we’ll be looking at the various applications of Node.js and comparing it to Golang. After that, we’ll take a look at how they perform in terms of benchmarking results.

Nodejs Vs. Go — time to settle the debate

The rivalry between Noedjd and Go for web application development is in progress, with both languages possessing unique benefits and strengths. Because Go can be compiled into a “machine code” format which makes it fast to run on a computer, it has become popular among web developers in recent years. Meanwhile, Node.js has been widely used because of its robust abilities (it supports modules) as well as it is popularity within the developer community.

Go is becoming more popular among web developers, as it offers a high-performance platform that’s easy to use.

While Nodejs has seen some recent decreases in popularity, it is still very popular among web developers.

In order to find the best language for your project, you must look at specific features of Nodejs and Go as well as how they set with your requirements. Specifically, be aware of what capabilities these languages offer that may benefit your project specifically.

Simplicity & learning curve

JavaScript is without a doubt one of the best popular programming languages in use today. It’s an asynchronous language, which means it allows for multiple tasks to be carried out at once and provides a callback function.

If you’re not familiar with JS, becoming an specilise in Node.js development is simply. There are many resources available to help you learn the language and develop web applications.

There are hundreds of Nodejs courses obtainable on the web, and many of them are helped by a large JavaScript development community.

Node js is a more user-friendly language than Go. This built learning it much simpler and easier than using Go itself.

full-stack programmers are typically responsible for learning about every aspect of a specific full-stack framework, such as the process and rules behind it, its core concepts, typesetting techniques, interface standards, and more.

This means that, if you are hiring a Golang expert for your web app project, someone on your team must also be familiar with the language.

Golang is best suited for back-end development purposes, so you’ll likely require to hire front-end developers separately.

Scalability

The Go language was designed with scalability in mind, as the function goroutines allow multiple threads to execute concurrently. As a result, it is ideal for situations requiring high performance and throughput.

Goroutines are a programming construct that allows the execution of multiple threads in a reliable and efficient manner. This enables parallel processing, which is an important feature for smooth operation.

While both Node JS and web app development are powerful tools, they work in a bit different way.

As opposed to concurrent programming in other languages, which uses callbacks for communication between threads, JavaScript employs a more direct approach using events. This makes concurrency less efficient than expected.

As a result, the system becomes unstable very rapidly. In addition, Node Js is one threaded, meaning that instructions are executed one after the other.

Node JS’s concurrency support is not as agile as it should be. This means that certain features or changes to the codebase can cause unexpected side effects and problems, which can delay or even halt development on a project.

Benchmark

In order to select the most appropriate tool or programming language for a given task, it can be helpful to collate its performance when executing numerous algorithms and tasks.

According to the data, Go appears to require memory, less time, and CPU usage than Node.js for various operations.

Error handling

Go’s error handling approach is different than most languages. Code must be checked for errors explicitly, rather than relying on the compiler to do so.

While there are some negative aspects to using a robot, such as the lack of human emotions and empathy, it does ultimately result in more consistent and flawless results.

Node.js offers better error managing than Golang, which typically employs a throw-catch approach. However, this technique can be unpredictable at times and can be more difficult to understand.

There are many benefits to using this approach, which is why so many web programmers are already familiar with it.

Availability of Developers

Go is a relatively new language that’s currently experiencing growth. Additionally, it has been noted as one of the more challenging application frameworks available today. However, Golang has greater potential in the near future — which bodes well for its development.

Node.js is a widely used programming language, which makes it simpler to find Node.js experts for projects. This abundance of talent helps businesses manage multiple development tasks with ease.

Development Tools

Among Node.Js’ many benefits is its vast array of development tools and languages, as well as its event-based framework — both factors which make it a popular choice for developers. Additionally, Node.Js incorporates a microservice architecture — an innovative approach that offers several advantages over traditional server-based architectures.

Node Package Manager, or NPM, is a popular library that include around 8 million various building blocks. These blocks can be easily installed and have an easy to use interface.

It is important to note that Go, contrary to Node.Js, does not contain as many robust and specialized tools. In fact, it only contains a standardized fullfledged library with specification that can be easily operated without any outside assistance. Additionally, Go lang comes equipped with several powerful tools such as Go runner, golangfmt , Godoc tooling , and goMetaLiner .

Performance

Performance can have a significant impact on an application’s CPU load times and average response time, which is straightly related to client satisfaction. If we look at task performance from a benchmark perspective, then both Go and Hire NodeJS Developers are some of the most efficient development technologies when it comes to dealing with heavy loads. However, they have different strengths in terms of performance areas:

Raw Performance

From a performance perspective, it is clear that Go has an advantage over low-level languages. This programming language can be executed without the assistance of an interpreter and achieves equivalent levels of render as those languages which require one.

Node.js comes equipped with a garbage gather, which block memory leaks and helps to conserve memory space. As such, Nodejs is an efficient tool when it comes to managing memories — providing stability even as the footprint of these resources grows over time.

Real-life performance

According to recent benchmarks, Node.js performs marginally behind Go in real-world performance. However, a significantly increased single-threaded version of Node has greatly boosted efficiency. Additionally, the V8 engine employed by Node ensures smooth and responsive user experiences without the need for an interpreter — making it one of the best choices for Web applications today.

When it comes to performance, Golang and Node.JS tend to be equal when it comes to database interaction or network applications.

Ecosystem

Nodejs has a large history and is well-recognized within the development community, granting it more resources for tooling, tutorials and libraries. Golang benefits from its cross-platform capabilities — developing it easier to build applications that work on various platforms.

Node.js is still popular, but Golang has seen a recent uptick in popularity thanks to its growing groups of developers. Both programming languages have their individual benefits and strengths that must be weighed according to the specific requires of your next project.

This means that even if you use a Golang, manual configuration will be required.

Golang is a very promising language, but it will likely take some time for it to catch up with Node.JS in terms of features and libraries.

While Go may be more difficult to look compared to Node.js development companies, this isn’t always the case. In fact, India is an especially qualified country for locating custom web application developers in this field.

Community

Golang and Node JS are both open-source programming languages with thriving communities that work to improve them.

The Node JS community is sizable and active, with the Node.JS Foundation working to make the language more widespread among developers.

Several notable companies are live members of the Node.JS foundation, including Microsoft, Paypal, IBM, Intel, and Godaddy.

Each year, a large community of Node.js developers come together to organize an event called Node+ JS Interactive. This gathering is typically used to update everyone on all the changes and improvements made to the platform throughout that calendar year.

Node JS has gained a significant amount of attention and popularity on GitHub over the past few years.

The Golang community is relatively young, but it’s growing rapidly. In fact, there are already a lot of experienced Go developers out there.

Google hosts an annual GopherCon event to bring together Go programmers from all over the world. This gathering provides a forum for discussing new chances and updates in the programming language, as well as providing valuable networking opportunities.

A recent survey found that 76% of Go users at work and 66% say Go is important to their company’s success. This indicates the growing importance of Go within businesses, as it continues to be a powerful tool for productivity and innovation.

Conclusion

According to statista, HTML/CSS and JavaScript were the most regularly used developers languages among software developers in 2017. both Golang and Node JS saw significant growth last year, but JavaScript and CSS remain popular choices for those looking to develop web applications.

Golang is one of the most popular programming languages, ranking fifth overall. However, JavaScript ranks higher in terms of popularity among developers.

All of this leads us to the conclusion that there is no “perfect” language when it approach to development. It all depends on the kinds of website you are creating.

If you’re uncertain about what to do, it would be best to contact a web development company. They are more experienced and likely have the languages and tools needed for your specific project.

Originally source: Golang Vs NodeJs

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