#java aws sdk

[codeonedigest]

Upload File to AWS S3 Bucket using Java AWS SDK | Create IAM User & Poli...

[cybereliasacademy]

Performance Best Practices Using Java and AWS Lambda: Combinations

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[talentrisetechnokrate]

Mobile App Development West Bengal

Introduction: The Rise of Mobile App Development in West Bengal

West Bengal, with Kolkata at its technological helm, has become a key player in India's mobile technology revolution. As smartphones penetrate every layer of society and businesses increasingly adopt mobile-first strategies, the demand for mobile app development in the state has skyrocketed. Whether it's for retail, healthcare, logistics, finance, or education, mobile applications have become the cornerstone of digital transformation. In this SEO-optimized blog, we delve into the intricacies of mobile app development in West Bengal, exploring services offered, top companies, tech stacks, and industry trends that are redefining the app landscape.

Why Mobile App Development is Crucial for Modern Businesses

Mobile applications offer businesses direct access to their target customers and increase operational efficiency through automation and data-driven insights. Here are some reasons businesses in West Bengal are investing in app development:

Direct customer engagement

Increased brand visibility

Real-time updates and support

Streamlined operations

Enhanced customer loyalty

Access to valuable user data

Types of Mobile Apps Developed in West Bengal

1. Native Mobile Apps

Built specifically for Android (Java/Kotlin) or iOS (Swift/Objective-C)

Offer high performance and full device compatibility

2. Hybrid Mobile Apps

Use web technologies like HTML, CSS, and JavaScript

Built with frameworks like Ionic or Apache Cordova

3. Cross-Platform Apps

Developed using Flutter, React Native, Xamarin

Share code across platforms while maintaining near-native experience

4. Progressive Web Apps (PWA)

Work offline and behave like native apps

Built using modern web capabilities

5. Enterprise Mobile Applications

Designed to improve business efficiency and data handling

Includes CRMs, ERPs, field service tools, etc.

Key Mobile App Development Services in West Bengal

1. App Strategy Consulting

Business analysis, app roadmap creation, feature prioritization

2. UI/UX Design

User flow design, wireframes, interactive prototypes, usability testing

3. Mobile App Development

Frontend and backend development, API integration, mobile SDKs

4. App Testing & QA

Manual and automated testing, performance testing, bug fixing

5. Deployment & Launch

Google Play Store and Apple App Store publishing, post-launch monitoring

6. App Maintenance & Support

Regular updates, bug fixes, performance improvements, OS compatibility

Top Mobile App Development Companies in West Bengal

1. Indus Net Technologies (Kolkata)

Full-stack mobile solutions, scalable for enterprise and startup needs

2. Webguru Infosystems (Kolkata)

Cross-platform and native app expertise, strong design focus

3. Capital Numbers (Kolkata)

React Native and Flutter specialists, global client base

4. Binaryfolks (Salt Lake City, Kolkata)

Known for secure and performance-oriented enterprise mobile apps

5. Kreeti Technologies (Kolkata)

Focused on user-centric mobile solutions for logistics and fintech sectors

Leading Industries Adopting Mobile Apps in West Bengal

1. Retail & E-commerce

Shopping apps, inventory management, customer loyalty tools

2. Healthcare

Telemedicine apps, fitness tracking, appointment scheduling

3. Education

eLearning platforms, online exams, student management systems

4. Transportation & Logistics

Fleet tracking, logistics planning, digital proof of delivery

5. Banking & Fintech

Digital wallets, UPI apps, KYC & loan processing apps

6. Real Estate

Virtual tours, property listing apps, customer engagement tools

Popular Technologies & Frameworks Used

Frontend Development:

React Native, Flutter, Swift, Kotlin, Ionic

Backend Development:

Node.js, Django, Ruby on Rails, Laravel

Database Management:

MySQL, Firebase, MongoDB, PostgreSQL

API Integration:

RESTful APIs, GraphQL, Payment gateways, Social media APIs

DevOps:

CI/CD pipelines using Jenkins, GitHub Actions, Docker, Kubernetes

Cloud & Hosting:

AWS, Google Cloud, Microsoft Azure

Case Study: Mobile App for a Regional Grocery Chain in Kolkata

Client: Local supermarket brand with 30+ stores Challenge: Manual order tracking and inefficient delivery process Solution: Custom mobile app with product browsing, cart, secure payment, and delivery tracking Results: 50% increase in orders, 30% operational cost savings, higher customer retention

Mobile App Monetization Strategies

Freemium model: Basic free version with paid upgrades

In-app purchases: Digital goods, subscriptions

Ads: AdSense, affiliate marketing, sponsored content

Paid apps: One-time download fee

Tips to Choose the Right Mobile App Developer in West Bengal

Check client portfolio and case studies

Ensure compatibility with your business domain

Ask for prototypes and demo apps

Assess UI/UX expertise and design innovation

Clarify project timelines and post-launch support

Discuss NDA and data privacy policies

Future Trends in Mobile App Development in West Bengal

Rise of AI-powered mobile apps

Voice-based mobile interfaces

5G-enabled immersive experiences

Greater use of AR/VR for shopping and education

IoT integration for smart home and smart city projects

Conclusion: Embrace the Mobile Revolution in West Bengal

As West Bengal accelerates its digital transformation journey, mobile apps are set to play a defining role. From small startups to established enterprises, the demand for intuitive, scalable, and secure mobile applications continues to rise. By partnering with experienced mobile app developers in the region, businesses can not only meet market demands but also deliver exceptional customer experiences that build loyalty and drive growth.

[govindhtech]

AWS Release EC2 R8gd, M8gd & C8gd Instances with Graviton4

Since AWS Graviton processors were released in 2018, Amazon has maintained clients' cloud apps up to date and faster. After Graviton3-based instances were successful, Amazon is introducing three new Amazon Elastic Compute Cloud (Amazon EC2) instance families: compute optimised (C8gd), general purpose (M8gd), and memory optimised (R8gd). These instances employ NVMe SSD local storage and AWS Graviton4 CPUs. AWS Graviton3 instances outperform comparable instances by 30% in compute, 40% in I/O-intensive database workloads, and 20% in real-time data analytics query results.

Built on AWS Graviton4, these instances run C/C++, Rust, Go, Java, Python,.NET Core, Node.js, Ruby, and PHP containerised and microservices programs. Web applications, databases, and large Java programs are outperformed by 30%, 40%, and 45% by AWS Graviton4 processors.

Graviton4 processor innovations

New Amazon EC2 instances with NVMe SSD local storage and AWS Graviton4 processors offer enhanced performance and functionality thanks to many technological advances. Among them:

Improved computation performance: Graviton4-based instances outperform AWS Graviton3-based instances by 30%.

They perform 40% better than Graviton3 in I/O-intensive database workloads.

Faster data analytics: These instances beat Graviton3-based instances by 20% in I/O-intensive real-time data analytics query results.

New instances provide up to 192 vCPUs, three times more, and larger instance sizes.

Up to 1.5 TiB more RAM than Graviton3-based versions.

Instances have three times the local storage (up to 11.4TB of NVMe SSD storage). Performance is considerably improved with NVMe-based SSD local storage.

Based on Graviton3, memory bandwidth is 75% higher than predecessors.

Instances have double the L2 cache compared to the previous generation.

Their 50 Gbps network capacity is a significant improvement over Graviton3 instances.

Increased Amazon EBS capacity: Amazon Elastic Block Store (Amazon EBS) bandwidth of up to 40 Gbps is another enhancement.

Adjustable bandwidth allocation: EC2 instance bandwidth weighting now lets customers alter network and Amazon EBS capacity by up to 25%, increasing flexibility.

Two bare metal sizes—metal-24xl and metal-48xl—allow direct access to physical resources and aid with specific workloads.

These instances, built on the AWS Nitro System, offload networking, storage, and CPU virtualisation to specialist hardware and software to boost speed and security.

All Graviton4 CPUs' high-speed physical hardware interfaces are encrypted for added protection.

The AWS Graviton4-based instances are ideal for containerised and micro-services-based applications, as well as applications written in popular programming languages and storage-intensive Linux workloads. Compared to Graviton3, Graviton4 processors execute web apps, databases, and large Java programs faster.

AWS Graviton4 processors and instance architecture improvements enable performance and new capabilities for many cloud applications.

Specifications for instances

Instances in metal-24xl and metal-48xl bare metal sizes start workloads that demand direct physical resource access and scale properly. The AWS Nitro System, which powers these instances, offloads networking, storage, and CPU virtualisation to dedicated hardware and software to increase workload security and performance. All of Graviton4 processors' high-speed physical hardware interfaces are encrypted, increasing security.

Cost and availability

Oregon and the US East (N. Virginia, Ohio) now include M8gd, C8gd, and R8gd examples. These instances are accessible as dedicated instances, hosts, savings plans, on-demand instances, and spot instances.

Get started now

The AWS Management Console, AWS CLI, or AWS SDKs can launch M8gd, C8gd, and R8gd instances in supported regions immediately. Browse Graviton resources to start migrating apps to instance types.

[shyamvijay]

How to Create a Social Video App Like TikTok in 2025

Ever wondered how apps like TikTok became such a massive hit? Want to build your own version of a short-video platform? Let’s break it down in simple terms and see what it takes in 2025 to create a TikTok-style app.

Why Build a TikTok Clone App?

TikTok changed the way we consume content. With over a billion users, it’s not just a social media app—it’s a full-blown entertainment powerhouse. Creating an app like TikTok in 2025 gives you a shot at riding the wave of video-driven engagement, virality, and community building.

Core Features You’ll Need

Here’s a quick list of essential features your TikTok-like app must have to compete:

Video uploading and editing: Let users create, trim, and enhance videos with filters, music, and effects.

Engagement tools: Likes, shares, comments, and reactions to drive interaction.

AI-powered feed: Smart recommendation algorithm to keep users hooked.

Sound integration: Add trending music, sound effects, and voiceovers.

Privacy settings: User control over who sees their content.

Push notifications: Keep users in the loop with updates and trends.

Tech Stack to Power the App

Building something like TikTok isn’t just about design—it’s about choosing the right tools under the hood:

Frontend: React Native or Flutter for cross-platform apps.

Backend: Node.js, Python, or Java with scalable frameworks.

Video SDK: Use a real-time communication API like MirrorFly for chat, voice & video.

Storage: AWS S3 or Google Cloud for video storage.

Database: MongoDB, PostgreSQL, or Firebase for flexibility and speed.

How Much Does It Cost to Build?

The cost depends on a number of factors including features, platform, design complexity, and development hours. Here’s a rough estimate:

Basic MVP: $35,000 – $50,000

Feature-rich version: $70,000 – $150,000+

Using a pre-built SDK like MirrorFly for communication can save time and budget while maintaining high quality.

Monetization Options

Your TikTok-style app can also generate revenue. Here are a few models:

In-app purchases (filters, stickers)

Advertisements

Creator tips and coins

Premium subscriptions

Read the Full Guide

We’ve put together a detailed blog post with everything—from tech stack choices to timeline planning and budget breakdown.

Read the full guide on how to create an app like TikTok

Final Thoughts

2025 is the perfect time to jump into the short-video app space. With the right technology, features, and user strategy, your app could be the next big thing. TikTok may be the giant in the room, but innovation opens the door to new competition.

[carollookwood]

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!

[hawkstack]

20 project ideas for Red Hat OpenShift

1. OpenShift CI/CD Pipeline

Set up a Jenkins or Tekton pipeline on OpenShift to automate the build, test, and deployment process.

2. Multi-Cluster Management with ACM

Use Red Hat Advanced Cluster Management (ACM) to manage multiple OpenShift clusters across cloud and on-premise environments.

3. Microservices Deployment on OpenShift

Deploy a microservices-based application (e.g., e-commerce or banking) using OpenShift, Istio, and distributed tracing.

4. GitOps with ArgoCD

Implement a GitOps workflow for OpenShift applications using ArgoCD, ensuring declarative infrastructure management.

5. Serverless Application on OpenShift

Develop a serverless function using OpenShift Serverless (Knative) for event-driven architecture.

6. OpenShift Service Mesh (Istio) Implementation

Deploy Istio-based service mesh to manage inter-service communication, security, and observability.

7. Kubernetes Operators Development

Build and deploy a custom Kubernetes Operator using the Operator SDK for automating complex application deployments.

8. Database Deployment with OpenShift Pipelines

Automate the deployment of databases (PostgreSQL, MySQL, MongoDB) with OpenShift Pipelines and Helm charts.

9. Security Hardening in OpenShift

Implement OpenShift compliance and security best practices, including Pod Security Policies, RBAC, and Image Scanning.

10. OpenShift Logging and Monitoring Stack

Set up EFK (Elasticsearch, Fluentd, Kibana) or Loki for centralized logging and use Prometheus-Grafana for monitoring.

11. AI/ML Model Deployment on OpenShift

Deploy an AI/ML model using OpenShift AI (formerly Open Data Hub) for real-time inference with TensorFlow or PyTorch.

12. Cloud-Native CI/CD for Java Applications

Deploy a Spring Boot or Quarkus application on OpenShift with automated CI/CD using Tekton or Jenkins.

13. Disaster Recovery and Backup with Velero

Implement backup and restore strategies using Velero for OpenShift applications running on different cloud providers.

14. Multi-Tenancy on OpenShift

Configure OpenShift multi-tenancy with RBAC, namespaces, and resource quotas for multiple teams.

15. OpenShift Hybrid Cloud Deployment

Deploy an application across on-prem OpenShift and cloud-based OpenShift (AWS, Azure, GCP) using OpenShift Virtualization.

16. OpenShift and ServiceNow Integration

Automate IT operations by integrating OpenShift with ServiceNow for incident management and self-service automation.

17. Edge Computing with OpenShift

Deploy OpenShift at the edge to run lightweight workloads on remote locations, using Single Node OpenShift (SNO).

18. IoT Application on OpenShift

Build an IoT platform using Kafka on OpenShift for real-time data ingestion and processing.

19. API Management with 3scale on OpenShift

Deploy Red Hat 3scale API Management to control, secure, and analyze APIs on OpenShift.

20. Automating OpenShift Cluster Deployment

Use Ansible and Terraform to automate the deployment of OpenShift clusters and configure infrastructure as code (IaC).

For more details www.hawkstack.com 

#OpenShift #Kubernetes #DevOps #CloudNative #RedHat #GitOps #Microservices #CICD #Containers #HybridCloud #Automation  

[imgglobalinfotech01]

Top 5 Factors to Consider for eCommerce App Development

In today’s fast-paced digital world, eCommerce apps have revolutionized the way businesses operate. Whether you’re a startup or an established brand, having a robust mobile app is crucial for attracting customers and increasing sales. As mobile commerce continues to grow, investing in eCommerce app development has become a necessity rather than a luxury.

However, building a successful eCommerce app requires careful planning, the right technology, and a deep understanding of customer needs. From choosing the right eCommerce app development company in the USA to estimating the eCommerce app development cost, several factors play a significant role in ensuring the success of your app.

In this blog, we will discuss the top 5 factors to consider for eCommerce app development to help you make informed decisions and build a high-performing online store.

1. Choosing the Right Business Model

Before diving into eCommerce app development, you must determine the business model that best suits your brand and target audience.

Common eCommerce Business Models:

📌 Single Vendor Model: A business sells its own products directly to customers through the app. Example: Nike, Zara.

📌 Multi-Vendor Marketplace: A platform where multiple sellers list their products, and customers can choose from various options. Example: Amazon, eBay.

📌 B2B (Business-to-Business): A platform where businesses sell products or services to other businesses. Example: Alibaba.

📌 B2C (Business-to-Consumer): The most common model where businesses sell products directly to consumers. Example: Walmart, Flipkart.

📌 C2C (Consumer-to-Consumer): A marketplace where individuals sell products to other consumers. Example: Etsy, OLX.

Your business model will impact the features, development cost, and technology stack required for your app.

2. Essential eCommerce App Development Features

To ensure a seamless shopping experience, your eCommerce app must include features that enhance usability, boost engagement, and drive conversions.

Must-Have Features for an eCommerce App:

✅ User Registration & Profile Management – Easy sign-up via email, phone, or social media. ✅ Product Catalog & Categories – Well-structured product listings with high-quality images and descriptions. ✅ Advanced Search & Smart Filters – AI-powered search with sorting options for quick product discovery. ✅ Shopping Cart & Checkout – Seamless cart management and secure checkout process. ✅ Multiple Payment Gateways – Integration of credit cards, UPI, digital wallets, and Buy Now Pay Later (BNPL) options. ✅ Order Tracking & Notifications – Real-time tracking with delivery updates and push notifications. ✅ Wishlist & Favorites – Allow users to save products for later purchase. ✅ Customer Reviews & Ratings – User-generated feedback to build trust. ✅ Loyalty Programs & Discounts – Reward customers with points, cashback, and exclusive deals. ✅ AI-Powered Recommendations – Personalized product suggestions based on browsing history.

Adding advanced features like AR-based product previews, AI-driven chatbots, and voice search can enhance the shopping experience.

3. Selecting the Right Technology Stack

The success of your eCommerce app depends on the technology stack you choose. The right technologies ensure smooth performance, scalability, and security.

Technology Stack for eCommerce App Development

📱 For Android App Development:

Language: Kotlin, Java

Framework: Android SDK, Jetpack

Database: Firebase, PostgreSQL

📱 For iOS App Development:

Language: Swift, Objective-C

Framework: Xcode, SwiftUI

Database: Core Data, Firebase

📱 For Cross-Platform Development:

Frameworks: Flutter, React Native

Backend: Node.js, Python, PHP

Cloud Hosting: AWS, Google Cloud, Azure

A professional eCommerce app development company in the USA can help you choose the right tech stack based on your business requirements.

4. eCommerce App Development Cost Estimation

The eCommerce app development cost depends on several factors, including app complexity, features, design, and development team location.

Key Cost Factors:

💰 App Complexity: A basic eCommerce app with essential features will cost less than an advanced app with AI and AR features. 💰 Design & UI/UX: A well-designed app with an intuitive user interface requires more investment. 💰 Platform Choice: Developing for Android, iOS, or both impacts the overall cost. 💰 Third-Party Integrations: Payment gateways, shipping APIs, CRM, and chatbot integrations add to the cost. 💰 Development Team Location: Hiring an eCommerce app development company in the USA is generally more expensive than outsourcing to Asia or Eastern Europe.

Estimated Cost Breakdown

Development PhaseEstimated Cost (USD)

Planning & Research: $2,000 - $5,000UI/UX

Design: $5,000 - $15,000

Development: $15,000 - $50,000

Payment Integration: $5,000 - $10,000

Testing & QA: $5,000 - $10,000

Deployment & Marketing: $5,000 - $20,000

💰 Total Estimated Cost: $30,000 – $100,000+

For an accurate estimate, consult a top mobile app development company that specializes in eCommerce app development.

5. Security & Compliance Considerations

Security is a critical aspect of eCommerce app development as users trust your platform with their personal and financial data.

Key Security Features:

🔒 SSL Encryption: Encrypts data to prevent cyberattacks. 🔒 Two-Factor Authentication: Adds an extra layer of security for user logins. 🔒 Data Encryption: Protects sensitive customer information. 🔒 Secure Payment Gateways: Ensure compliance with PCI DSS for safe transactions. 🔒 Regular Security Audits: Identify and fix vulnerabilities before they are exploited.

A custom eCommerce app development company ensures your app complies with GDPR, CCPA, and other industry regulations to maintain data security and privacy.

Conclusion

Developing an eCommerce app requires a strategic approach, the right features, and robust security measures. Whether you are a startup or an established brand, considering these top 5 factors can help you create a high-performing, scalable, and secure eCommerce mobile app.

At IMG Global Infotech, we specialize in eCommerce app development and offer tailored solutions to meet your business needs. As a leading eCommerce app development company in the USA, we provide end-to-end development services, from concept to launch.

📩 Ready to build your eCommerce app? Contact us today! 🚀

[jamtechtechnologies]

Best Android App Development Company in Lucknow

In today's fast-paced digital world, having a well-designed mobile app is essential for businesses to stay ahead of the competition. 

Whether you run a startup or a large enterprise, an Android app can significantly enhance customer engagement and streamline business operations. If you're searching for the best Android app development company in Lucknow, look no further than Jamtech Technologies.

Why Choose an Android App for Your Business?

With Android dominating the global smartphone market, investing in an Android app provides several benefits: ✔ Wider Audience Reach – Android powers over 70% of smartphones worldwide. ✔ Cost-Effective Development – Open-source platform with affordable development costs. ✔ High Customization – Flexible UI/UX options for personalized user experiences. ✔ Seamless Integration – Easy compatibility with Google services and third-party APIs. ✔ Better ROI – More downloads and user engagement mean increased revenue opportunities.

Jamtech Technologies – Leading Android App Development Company in Lucknow

Jamtech Technologies is recognized as one of the top Android app development companies in Lucknow, providing innovative and customized mobile app solutions. With a team of skilled developers and designers, Jamtech specializes in crafting user-friendly and feature-rich Android applications tailored to diverse industry needs.

Services Offered by Jamtech Technologies

As a trusted Android app development company, Jamtech offers a wide range of services, including:

1. Custom Android App Development

We design and develop custom Android applications tailored to your business needs, ensuring high performance and seamless user experience.

2. Enterprise Android App Development

Our enterprise-grade mobile apps help businesses optimize their processes, improve employee productivity, and enhance customer interactions.

3. E-Commerce App Development

We create robust e-commerce mobile applications with secure payment gateways, real-time tracking, and personalized shopping experiences.

4. Cross-Platform App Development

We build apps that run smoothly on multiple platforms, ensuring a seamless experience for both Android and iOS users.

5. UI/UX Design for Android Apps

Our expert designers create intuitive and visually appealing Android app UI/UX designs to enhance user engagement.

6. Android App Maintenance & Support

We offer post-launch app maintenance and support services to ensure your application runs efficiently and stays updated with the latest trends.

Industries We Serve

As a leading Android app development company in Lucknow, Jamtech Technologies caters to various industries, including:

E-commerce & Retail

Healthcare & Fitness

Education & E-learning

Real Estate

Travel & Hospitality

Finance & Banking

Food & Delivery Services

Technologies We Use for Android App Development

Jamtech Technologies leverages the latest technologies and tools to build high-performance Android applications:

Languages: Java, Kotlin

Frameworks: React Native, Flutter

Database: Firebase, SQLite, MySQL

Cloud Services: AWS, Google Cloud

Development Tools: Android Studio, Android SDK

Why Choose Jamtech Technologies?

Here’s why we are the best Android app development company in Lucknow: ✅ Expert Team – Skilled developers with years of experience. ✅ Customized Solutions – Tailored apps to meet unique business needs. ✅ Affordable Pricing – High-quality development at cost-effective rates. ✅ On-Time Delivery – Efficient project management for timely completion. ✅ End-to-End Support – From development to deployment and maintenance.

Conclusion

Finding the best Android app development company in Lucknow is crucial for businesses looking to build a strong mobile presence. Jamtech Technologies stands out with its expert team, cutting-edge technologies, and customer-centric approach. Whether you need a new Android app or want to improve an existing one, Jamtech is your go-to partner for innovative and result-driven mobile app solutions.

[practicallogix]

The Role of the AWS Software Development Kit (SDK) in Modern Application Development

The Amazon Web Services (AWS) Software Development Kit (SDK) serves as a fundamental tool for developers aiming to create robust, scalable, and secure applications using AWS services. By streamlining the complexities of interacting with AWS's extensive ecosystem, the SDK enables developers to prioritize innovation over infrastructure challenges. 

Understanding AWS SDK 

The AWS SDK provides a comprehensive suite of software tools, libraries, and documentation designed to facilitate programmatic interaction with AWS services. By abstracting the intricacies of direct HTTP requests, it offers a more intuitive and efficient interface for tasks such as instance creation, storage management, and database querying. 

The AWS SDK is compatible with multiple programming languages, including Python (Boto3), Java, JavaScript (Node.js and browser), .NET, Ruby, Go, PHP, and C++. This broad compatibility ensures that developers across diverse technical environments can seamlessly integrate AWS features into their applications.

Key Features of AWS SDK

Seamless Integration: The AWS SDK offers pre-built libraries and APIs designed to integrate effortlessly with AWS services. Whether provisioning EC2 instances, managing S3 storage, or querying DynamoDB, the SDK simplifies these processes with clear, efficient code. 

Multi-Language Support: Supporting a range of programming languages, the SDK enables developers to work within their preferred coding environments. This flexibility facilitates AWS adoption across diverse teams and projects. 

Robust Security Features: Security is a fundamental aspect of the AWS SDK, with features such as automatic API request signing, IAM integration, and encryption options ensuring secure interactions with AWS services. 

High-Level Abstractions: To reduce repetitive coding, the SDK provides high-level abstractions for various AWS services. For instance, using Boto3, developers can interact with S3 objects directly without dealing with low-level request structures. 

Support for Asynchronous Operations: The SDK enables asynchronous programming, allowing non-blocking operations that enhance the performance and responsiveness of high-demand applications. 

Benefits of Using AWS SDK

Streamlined Development: By offering pre-built libraries and abstractions, the AWS SDK significantly reduces development overhead. Developers can integrate AWS services efficiently without navigating complex API documentation. 

Improved Reliability: Built-in features such as error handling, request retries, and API request signing ensure reliable and robust interactions with AWS services. 

Cost Optimization: The SDK abstracts infrastructure management tasks, allowing developers to focus on optimizing applications for performance and cost efficiency. 

Comprehensive Documentation and Support: AWS provides detailed documentation, tutorials, and code examples, catering to developers of all experience levels. Additionally, an active developer community offers extensive resources and guidance for troubleshooting and best practices. 

Common Use Cases

Cloud-Native Development: Streamline the creation of serverless applications with AWS Lambda and API Gateway using the SDK. 

Data-Driven Applications: Build data pipelines and analytics platforms by integrating services like Amazon S3, RDS, or Redshift. 

DevOps Automation: Automate infrastructure management tasks such as resource provisioning and deployment updates with the SDK. 

Machine Learning Integration: Incorporate machine learning capabilities into applications by leveraging AWS services such as SageMaker and Rekognition.

Conclusion 

The AWS Software Development Kit is an indispensable tool for developers aiming to fully leverage the capabilities of AWS services. With its versatility, user-friendly interface, and comprehensive features, it serves as a critical resource for building scalable and efficient applications. Whether you are a startup creating your first cloud-native solution or an enterprise seeking to optimize existing infrastructure, the AWS SDK can significantly streamline the development process and enhance application functionality. 

Explore the AWS SDK today to unlock new possibilities in cloud-native development.

[learning-code-ficusoft]

Building a Scalable Web App with AWS Elastic Beanstalk

Building a Scalable Web App with AWS Elastic Beanstalk AWS Elastic Beanstalk simplifies the deployment and management of scalable web applications. 

It abstracts the complexities of infrastructure management, allowing developers to focus on coding while AWS handles the heavy lifting.

 Here’s a brief overview for your blog: 

What is AWS Elastic Beanstalk? AWS Elastic Beanstalk is a Platform-as-a-Service (PaaS) offering that lets developers deploy and scale web applications and services. 

It supports multiple programming languages, including Java, Python, Node.js, PHP, Ruby, Go, and .NET.

 Key Features: Automated Deployment: Upload your code, and Elastic Beanstalk automatically handles provisioning resources, load balancing, and deployment.

 Auto-Scaling: Elastic Beanstalk adjusts the application capacity dynamically based on traffic. 

Monitoring and Logging: Integrated tools provide insights into app health and performance via AWS CloudWatch. 

Environment Control: You retain full access to the AWS resources powering your application. 

Why Use Elastic Beanstalk for Scalable Apps?

 Simplifies Scalability: Built-in auto-scaling ensures your app can handle traffic spikes efficiently. 

Time-Saving: Focus on coding while Elastic Beanstalk manages the backend.

 Cost-Effective: Pay only for the AWS resources you use. 

Easy Integration: Works seamlessly with other AWS services like RDS, S3, and IAM. 

Use Cases: Launching and managing e-commerce platforms. Hosting dynamic content-heavy websites.

 Scaling RESTful APIs for mobile or web apps.

 Steps to Build and Deploy a Scalable Web App: 

Step 1: Prepare your application code and choose a supported language/platform.

 Step 2: Upload your code to Elastic Beanstalk through the AWS Management Console, CLI, or SDKs. 

Step 3: Configure environment settings, including instance types and scaling policies. 

Step 4: Monitor application health and logs to ensure smooth operation. 

Step 5: Scale resources up or down based on traffic demand. 

Benefits for Developers: Elastic Beanstalk allows developers to innovate faster by eliminating infrastructure concerns, enabling rapid application iteration, and ensuring high availability with minimal manual intervention. 

Elastic Beanstalk is a powerful tool for developers seeking to build reliable, scalable, and efficient web applications with minimal operational overhead.

[marketingaiblogs]

Maximize Your Career Potential with the Top 10 Development Certifications

Unlock your potential and take your software development career to new heights with the top 10 software development certifications for success. In today’s ever-evolving technology landscape, certifications have become essential for staying ahead of the competition and enhancing your skills. Whether you’re a beginner looking to kickstart your career or an experienced professional wanting to stay relevant, these certifications will help you stand out in the industry. From popular programming languages like Python and Java to specialized domains like cybersecurity and cloud computing, these certifications cover a wide range of crucial skills in the software development field. Not only do these certifications validate your expertise in specific areas, but they also provide you with the knowledge and confidence to tackle complex projects. In this article, we will explore the top 10 software development certifications that industry experts highly recommend. Discover the benefits of each certification, the skills they focus on, and the career opportunities they can unlock. Don’t miss out on the chance to level up your career and open doors to endless possibilities in the world of software development. Get ready to unlock your potential and become a sought-after professional in this thriving industry.

1. Google Professional Cloud Developer

As more organizations migrate to Google Cloud, there is a growing demand for developers proficient in building and deploying applications in this environment. The Google Professional Cloud Developer certification is designed for individuals who can build scalable and highly available cloud applications on the Google Cloud Platform (GCP). It covers a range of topics, including application development, debugging, and security practices within GCP.

This certification is highly sought after by employers looking for developers capable of leveraging Google Cloud services like Cloud Functions, Google Kubernetes Engine, and App Engine to deliver cloud-native solutions. Earning this certification demonstrates your ability to design and implement secure and efficient applications on Google Cloud.

● Target Audience: Cloud developers, DevOps engineers

● Difficulty Level: Intermediate to Advanced

2. AWS Certified Developer — Associate

● Link: AWS Certified Developer

Amazon Web Services (AWS) is one of the most widely used cloud platforms globally, and demand for AWS expertise continues to rise across industries. This certification validates your ability to deploy, debug, and develop cloud-native applications using core AWS services.

Achieving this certification requires a solid understanding of AWS SDKs, security best practices, and troubleshooting methodologies. You will be tested on real-world scenarios involving cloud applications, making this certification an excellent choice for developers seeking to enhance their cloud development credentials.

● Target Audience: Cloud developers, DevOps engineers

● Difficulty Level: Intermediate

3. AI CERTs Certified AI+ Developer

● Link: AI CERTs Certified AI+ Developer

With AI’s rapid expansion, developers with expertise in AI and machine learning are in high demand. The AI CERTs Certified AI+ Developer certification is an industry-recognized credential that validates your proficiency in designing, building, and deploying AI-driven solutions.

This certification focuses on key AI concepts, including machine learning algorithms, neural networks, natural language processing, and computer vision. It is an excellent choice for developers looking to enter the AI space or for those already working in AI who want to showcase their expertise and commitment to staying at the forefront of this rapidly advancing field.

● Target Audience: AI developers, machine learning engineers, data scientists

Use the coupon code NEWUSERS25 to get 25% OFF on AI CERT’s certifications. Visit this link to explore all the courses and enroll today.

4. Microsoft Certified: Azure Developer Associate

● Link: Azure Developer Associate

Microsoft Azure continues to be a dominant force in the cloud computing space. The Azure Developer Associate certification is ideal for developers working with Azure services and looking to prove their skills in building and maintaining cloud applications. This certification validates your expertise in developing Azure compute solutions, implementing Azure security, and integrating Azure services into applications.

With the increasing adoption of Azure by businesses, this certification is highly valuable for developers looking to align their skills with enterprise cloud computing trends. The certification covers both foundational and advanced topics, such as developing Azure storage, managing cloud resources, and troubleshooting and optimizing performance.

● Target Audience: Cloud developers, software engineers

● Difficulty Level: Intermediate

5. Certified Kubernetes Administrator (CKA)

● Link: Certified Kubernetes Administrator

As cloud-native applications gain prominence, Kubernetes has emerged as a leading container orchestration platform. The demand for professionals skilled in Kubernetes management has seen exponential growth. The Certified Kubernetes Administrator (CKA) certification, provided by the Cloud Native Computing Foundation (CNCF), is designed to validate your ability to install, configure, and manage Kubernetes clusters in production environments. It encompasses essential topics such as application lifecycle management, troubleshooting, networking, and security.

Earning the CKA certification is a significant achievement for any developer or DevOps engineer working in cloud environments. As businesses increasingly adopt Kubernetes for containerized application management, this certification ensures that you possess the expertise to maintain reliability, scalability, and efficiency.

● Target Audience: Developers, DevOps engineers, Cloud engineers

● Difficulty Level: Intermediate to Advanced

6. Oracle Certified Professional, Java SE 11 Developer

● Link: Oracle Certified Professional

Java remains a cornerstone of enterprise application development, and proficiency in this language is essential for many developers. The Oracle Certified Professional, Java SE 11 Developer certification is a robust credential that verifies your expertise in using Java to build complex and efficient applications. This certification covers a broad range of Java concepts, including object-oriented programming, data structures, concurrency, and functional programming with Java streams.

Whether you’re a backend developer or an enterprise software engineer, this certification demonstrates your command of Java and your ability to develop, debug, and optimize Java applications for a variety of use cases. It’s an excellent choice for developers looking to advance their careers in Java development.

● Target Audience: Java developers, backend developers

7. Certified Scrum Developer (CSD)

● Link: Certified Scrum Developer (CSD)

Agile development methodologies have become the norm in modern software development, and Scrum is one of the most widely adopted frameworks. The Certified Scrum Developer (CSD) certification is geared towards developers who are part of Scrum teams and wish to gain a deeper understanding of Scrum principles, Agile practices, and collaborative engineering methods.

The CSD certification ensures that you possess the skills necessary to contribute effectively in an Agile development environment. You’ll gain knowledge in continuous integration, test-driven development (TDD), and other Agile engineering practices. This certification is ideal for developers looking to improve their collaboration and efficiency within Scrum teams.

● Target Audience: Agile developers, Scrum team members

● Difficulty Level: Intermediate

8. PCEP — Certified Entry-Level Python Programmer

● Link: PCEP — Certified Entry-Level Python Programmer

Python’s versatility and simplicity make it one of the most popular programming languages globally. It is used across various domains, from web development and automation to data science and AI. The PCEP certification serves as a foundational credential for beginners looking to validate their understanding of Python basics.

This certification covers essential Python programming concepts, including data types, control flow, functions, and error handling. The PCEP certification is a great starting point for aspiring developers who want to build a solid foundation in Python before advancing to more complex topics like web frameworks or machine learning.

● Target Audience: Beginner Python developers

● Difficulty Level: Beginner

9. Red Hat Certified Specialist in OpenShift Application Development

● The Red Hat Certified Specialist in OpenShift Application Development certification is designed for developers who want to build and deploy containerized applications using Red Hat OpenShift. This certification is ideal for those looking to enhance their skills in managing cloud-native applications and leveraging the power of Kubernetes and OpenShift.

● Program Overview:

● This certification focuses on developing, managing, and deploying applications in a Red Hat OpenShift environment. Participants will learn how to create, configure, and troubleshoot applications in containers using OpenShift. The program covers essential topics such as deploying multi-container applications, managing storage, and integrating DevOps practices to streamline the application development lifecycle.

● Key Benefits:

● Containerization Skills: Gain expertise in building and deploying containerized applications using OpenShift.

● Kubernetes Knowledge: Learn to manage applications using Kubernetes in an enterprise environment.

● DevOps Integration: Understand how to integrate DevOps practices with OpenShift to optimize the application development process.

● Ideal For:

● Application Developers

● DevOps Engineers

● Cloud Architects

● Duration: Self-paced

10. Salesforce Certified Platform Developer

● Link: Salesforce Certified Platform Developer

Salesforce remains a leading customer relationship management (CRM) platform, with many businesses relying on custom Salesforce applications for their operations. The Salesforce Certified Platform Developer I certification is designed for developers who want to build, deploy, and manage custom applications on the Salesforce platform. This certification validates your ability to use Apex programming, Visualforce, and Lightning components to create robust CRM solutions.

For developers interested in building career expertise in Salesforce development, this certification is an essential credential. It helps you stand out in a field where skilled Salesforce developers are highly sought after, and it provides a pathway to more advanced Salesforce certifications.

● Target Audience: Salesforce developers, CRM developers

● Difficulty Level: Intermediate

Conclusion

As technology continues to advance at a breakneck pace, earning development certifications has become an essential step for professionals looking to stay competitive in the job market and keep their skills up to date. The certifications listed above cover a wide range of domains, from cloud computing and AI to security and Agile methodologies. Whether you’re looking to deepen your expertise in a particular area or broaden your skill set across multiple domains, there’s a certification for you.

Selecting the right certification can open doors to new opportunities, increased earning potential, and career advancement. As you consider your options, think about your long-term career goals and the areas of technology that excite you the most. Investing in these certifications not only shows your commitment to continuous learning but also positions you as a leader in your field, ready to tackle the challenges and innovations of the future.

By staying current with the latest certifications, you can ensure that you’re well-prepared to meet the demands of an ever-evolving industry and seize emerging opportunities in the world of software development.

[govindhtech]

Pixtral Large 25.02: Amazon Bedrock Serverless Multimodal AI

AWS releases Pixtral Large 25.02 for serverless Amazon Bedrock.

Amazon Bedrock Pixtral Large

The Pixtral Large 25.02 model is now completely managed and serverless on Amazon Bedrock. AWS was the first major cloud service to provide serverless, fully managed Pixtral Large.

Infrastructure design, specific expertise, and continual optimisation are often needed to manage massive foundation model (FM) computational demands. Many clients must manage complex infrastructures or choose between cost and performance when deploying sophisticated models.

Mistral AI's first multimodal model, Pixtral Large, combines high language understanding with advanced visuals. Its 128K context window makes it ideal for complex visual reasoning. The model performs well on MathVista, DocVQA, and VQAv2, proving its effectiveness in document analysis, chart interpretation, and natural picture understanding.

Pixtral Large excels at multilingualism. Global teams and apps can use English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, and Polish. Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran are among the 80 languages it can write and read.

Developers will like the model's agent-centric architecture since it integrates with current systems via function calling and JSON output formatting. Its sturdy system fast adherence improves dependability in large context situations and RAG applications.

This complex model is currently available in Amazon Bedrock without infrastructure for Pixtral Large. Serverless allows you to scale usage based on demand without prior commitments or capacity planning. No wasted resources mean you only pay for what you utilise.

Deduction across regions

Pixtral Large is now available in Amazon Bedrock across various AWS Regions due to cross-region inference.

Amazon Bedrock cross-Region inference lets you access a single FM across many regions with high availability and low latency for global applications. A model deployed in both the US and Europe may be accessible via region-specific API endpoints with various prefixes: us.model-id for US and eu.model-id for European.

By confining data processing within defined geographic borders, Amazon Bedrock may comply with laws and save latency by sending inference requests to the user's nearest endpoint. The system automatically manages load balancing and traffic routing across Regional installations to enable seamless scalability and redundancy without your monitoring.

How it works?

I always investigate how new capabilities might solve actual problems as a developer advocate. The Amazon Bedrock Converse API's new multimodal features were perfect for testing when she sought for help with her physics exam.

It struggled to solve these challenges. It realised this was the best usage for the new multimodal characteristics. The Converse API was used to create a rudimentary application that could comprehend photographs of a complex problem sheet with graphs and mathematical symbols. Once the physics test materials were uploaded, ask the model to explain the response process.

The following event impressed them both. Model interpreted schematics, mathematical notation, and French language, and described each difficulty step-by-step. The computer kept context throughout the talk and offered follow-up questions about certain issues to make teaching feel natural.

It was confident and ready for this test, showing how Amazon Bedrock's multimodal capabilities can provide users meaningful experiences.

Start now

The new method is available at US East (Ohio, N. Virginia), US West (Oregon), and Europe (Frankfurt, Ireland, Paris, Stockholm) Regional API endpoints. Regional availability reduces latency, meeting data residency criteria.

Use the AWS CLI, SDK, or Management Console to programmatically access the model using the model ID mistral.pixtral-large-2502-v1:0.

Developers and organisations of all sizes may now employ strong multimodal AI, a major leap. AWS serverless infrastructure with Mistral AI's cutting-edge model let you focus on designing innovative apps without worrying about complexity.

[jamiesmithblog]

Custom AI Development Services - Grow Your Business Potential

AI Development Company

As a reputable Artificial Intelligence Development Company, Bizvertex provides creative AI Development Solutions for organizations using our experience in AI app development. Our expert AI developers provide customized solutions to meet the specific needs of various sectors, such as intelligent chatbots, predictive analytics, and machine learning algorithms. Our custom AI development services are intended to empower your organization and produce meaningful results as it embarks on its digital transformation path.

AI Development Services That We Offer

Our AI development services are known to unlock the potential of vast amounts of data for driving tangible business results. Being a well-established AI solution provider, we specialize in leveraging the power of AI to transform raw data into actionable insights, paving the way for operational efficiency and enhanced decision-making. Here are our reliably intelligent AI Services that we convert your vision into reality.

Generative AI

Smart AI Assistants and Chatbot

AI/ML Strategy Consulting

AI Chatbot Development

PoC and MVP Development

Recommendation Engines

AI Security

AI Design

AIOps

AI-as-a-Service

Automation Solutions

Predictive Modeling

Data Science Consulting

Unlock Strategic Growth for Your Business With Our AI Know-how

Machine Learning

We use machine learning methods to enable sophisticated data analysis and prediction capabilities. This enables us to create solutions such as recommendation engines and predictive maintenance tools.

Deep Learning

We use deep learning techniques to develop effective solutions for complex data analysis tasks like sentiment analysis and language translation.

Predictive Analytics

We use statistical algorithms and machine learning approaches to create solutions that predict future trends and behaviours, allowing organisations to make informed strategic decisions.

Natural Language Processing

Our NLP knowledge enables us to create sentiment analysis, language translation, and other systems that efficiently process and analyse human language data.

Data Science

Bizvertex's data science skills include data cleansing, analysis, and interpretation, resulting in significant insights that drive informed decision-making and corporate strategy.

Computer Vision

Our computer vision expertise enables the extraction, analysis, and comprehension of visual information from photos or videos, which powers a wide range of applications across industries.

Industries Where Our AI Development Services Excel

Healthcare

Banking and Finance

Restaurant

eCommerce

Supply Chain and Logistics

Insurance

Social Networking

Games and Sports

Travel

Aviation

Real Estate

Education

On-Demand

Entertainment

Government

Agriculture

Manufacturing

Automotive

AI Models We Have Expertise In

GPT-4o

Llama-3

PaLM-2

Claude

DALL.E 2

Whisper

Stable Diffusion

Phi-2

Google Gemini

Vicuna

Mistral

Bloom-560m

Custom Artificial Intelligence Solutions That We Offer

We specialise in designing innovative artificial intelligence (AI) solutions that are tailored to your specific business objectives. We provide the following solutions.

Personlization

Enhanced Security

Optimized Operations

Decision Support Systems

Product Development

Tech Stack That We Using For AI Development

Languages

Scala

Java

Golang

Python

C++

Mobility

Android

iOS

Cross Platform

Python

Windows

Frameworks

Node JS

Angular JS

Vue.JS

React JS

Cloud

AWS

Microsoft Azure

Google Cloud

Thing Worx

C++

SDK

Kotlin

Ionic

Xamarin

React Native

Hardware

Raspberry

Arduino

BeagleBone

OCR

Tesseract

TensorFlow

Copyfish

ABBYY Finereader

OCR.Space

Go

Data

Apache Hadoop

Apache Kafka

OpenTSDB

Elasticsearch

NLP

Wit.ai

Dialogflow

Amazon Lex

Luis

Watson Assistant

Why Choose Bizvertex for AI Development?

Bizvertex the leading AI Development Company that provides unique AI solutions to help businesses increase their performance and efficiency by automating business processes. We provide future-proof AI solutions and fine-tuned AI models that are tailored to your specific business objectives, allowing you to accelerate AI adoption while lowering ongoing tuning expenses.

As a leading AI solutions provider, our major objective is to fulfill our customers' business visions through cutting-edge AI services tailored to a variety of business specializations. Hire AI developers from Bizvertex, which provides turnkey AI solutions and better ideas for your business challenges.

[nel-world]

hi

If the entire file is not being transferred to Amazon S3, you may be experiencing issues related to file corruption, interrupted connections, incomplete uploads, or improper configurations. Below are steps to diagnose and resolve the issue:

1. Identify the Problem

Check File Integrity:

Compare the file size on the source and destination (S3 bucket).

Verify file integrity using checksums (e.g., MD5 or SHA256).

Verify Upload Status:

Ensure that the upload completes without errors or exceptions in your application logs.

Check AWS S3 for incomplete uploads or failed multipart uploads.

2. Use Multipart Upload for Large Files

Multipart uploads allow large files to be divided into smaller parts and uploaded in parallel, ensuring reliability and recovery for partial uploads.

Code Example: AWS SDK for Java

java

Copy code

AmazonS3 s3Client = AmazonS3ClientBuilder.defaultClient(); TransferManager tm = TransferManagerBuilder.standard().withS3Client(s3Client).build(); File file = new File("large-file.zip"); try { // Initiate multipart upload Upload upload = tm.upload("bucket-name", "key-name", file); upload.waitForCompletion(); System.out.println("Upload completed successfully!"); } catch (AmazonClientException e) { System.err.println("Upload failed: " + e.getMessage()); } finally { tm.shutdownNow(); }

Verify Multipart Upload Completion

Ensure all parts are uploaded and combined:

java

Copy code

ListMultipartUploadsRequest allMultipartUploadsRequest = new ListMultipartUploadsRequest("bucket-name"); MultipartUploadListing multipartUploadListing = s3Client.listMultipartUploads(allMultipartUploadsRequest); if (multipartUploadListing.getMultipartUploads().isEmpty()) { System.out.println("All uploads completed!"); } else { System.err.println("Incomplete multipart uploads found!"); }

3. Handle Interrupted Uploads

For interrupted uploads, enable resumable transfers using TransferManager or implement custom retry logic.

Resume Interrupted Uploads

java

Copy code

TransferManager tm = TransferManagerBuilder.standard().build(); Upload upload = tm.upload("bucket-name", "key-name", file); try { upload.waitForCompletion(); } catch (AmazonClientException e) { System.err.println("Upload interrupted: " + e.getMessage()); // Attempt to resume upload.abort(); }

4. Validate Data Integrity

Ensure that the uploaded file is identical to the source by validating checksums.

Generate and Compare MD5 Hash

On the client side:

java

Copy code

String md5 = Base64.getEncoder().encodeToString(DigestUtils.md5(new FileInputStream(file))); ObjectMetadata metadata = new ObjectMetadata(); metadata.setContentMD5(md5); PutObjectRequest request = new PutObjectRequest("bucket-name", "key-name", new FileInputStream(file), metadata); s3Client.putObject(request);

5. Monitor and Log File Transfers

Enable detailed logging to track issues during upload:

Enable Amazon SDK Logging:javaCopy codeSystem.setProperty(SDKGlobalConfiguration.DISABLE_CERT_CHECKING_SYSTEM_PROPERTY, "true");

Use CloudWatch Metrics to monitor failed or incomplete transfers.

6. Increase Upload Timeout and Retry

For large files or unstable networks, increase timeout and retry limits in the AWS SDK.

Configure Client Timeout

java

Copy code

ClientConfiguration config = new ClientConfiguration(); config.setSocketTimeout(120000); // 2 minutes config.setConnectionTimeout(120000); config.setRetryPolicy(PredefinedRetryPolicies.getDefaultRetryPolicyWithCustomMaxRetries(5)); AmazonS3 s3Client = AmazonS3ClientBuilder.standard() .withClientConfiguration(config) .build();

7. Ensure Network Stability

Use Transfer Acceleration:

Enable faster uploads via edge locations:javaCopy codeAmazonS3 s3Client = AmazonS3ClientBuilder.standard() .withAccelerateModeEnabled(true) .build();

Retry Failed Chunks:

Implement retry logic for individual parts in multipart uploads.

8. Check AWS S3 Permissions

Ensure the IAM user or role has proper permissions:

Required S3 Actions:

s3:PutObject

s3:AbortMultipartUpload

s3:ListMultipartUploadParts

Example policy:jsonCopy code{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:PutObject", "s3:ListBucket", "s3:AbortMultipartUpload" ], "Resource": "arn:aws:s3:::your-bucket-name/*" } ] }

9. Verify File Encoding

If files are being truncated or corrupted:

Ensure the correct encoding/decoding is applied during upload.

Use binary streams for file content:javaCopy codes3Client.putObject(new PutObjectRequest("bucket-name", "key-name", new FileInputStream(file)));

10. Debug Incomplete Transfers

Use AWS CLI for testing and validation:

bash

Copy code

aws s3 cp large-file.zip s3://your-bucket/ --debug

If the CLI works but your application fails, the issue may be in your Java implementation.

Common Causes of Incomplete Uploads

Network Issues:

Use Transfer Acceleration or retry mechanisms.

File Size:

Always use multipart upload for files >100 MB.

**IAM

4o

You said:

Improve performance executor

ChatGPT said:

ChatGPT

Improving the performance of an Executor in Java requires tuning its configuration, managing tasks effectively, and leveraging the right type of executor for your workload. Here are some strategies for optimizing an Executor's performance:

1. Choose the Right Executor

Java provides several types of Executors in the java.util.concurrent package. Choose the one that best suits your workload:

FixedThreadPool: For a predictable number of threads.javaCopy codeExecutorService executor = Executors.newFixedThreadPool(10);

CachedThreadPool: For many short-lived tasks with varying workloads.javaCopy codeExecutorService executor = Executors.newCachedThreadPool();

SingleThreadExecutor: For sequential task execution.javaCopy codeExecutorService executor = Executors.newSingleThreadExecutor();

ScheduledThreadPool: For recurring or delayed tasks.javaCopy codeScheduledExecutorService executor = Executors.newScheduledThreadPool(5);

For custom control, use ThreadPoolExecutor to define your own parameters.

2. Optimize ThreadPoolExecutor Configuration

The ThreadPoolExecutor provides more granular control over thread pool behavior.

Example Configuration:

java

Copy code

ExecutorService executor = new ThreadPoolExecutor( 5, // Core pool size 20, // Maximum pool size 60L, // Keep-alive time for idle threads TimeUnit.SECONDS, // Time unit for keep-alive new LinkedBlockingQueue<>(1000), // Task queue Executors.defaultThreadFactory(), new ThreadPoolExecutor.CallerRunsPolicy() // Rejection policy );

Key Parameters:

Core Pool Size: Number of threads always alive in the pool.

Maximum Pool Size: Upper limit on the number of threads.

Queue Size: Size of the task queue.

Keep-Alive Time: Time for which idle threads are kept alive.

Rejection Policy: Defines behavior when the queue is full (e.g., CallerRunsPolicy, AbortPolicy).

3. Use an Appropriate Task Queue

Choose a queue based on your workload:

Unbounded Queues (e.g., LinkedBlockingQueue):

Avoids task rejection but may consume too much memory.

Bounded Queues (e.g., ArrayBlockingQueue):

Limits memory usage but requires a rejection policy for overflow.

Example:

java

Copy code

BlockingQueue<Runnable> queue = new ArrayBlockingQueue<>(500);

4. Monitor and Tune Thread Counts

Measure Task Behavior:

Use profiling tools like VisualVM or JProfiler to monitor task execution times and thread usage.

Tune Thread Count:

General formula for CPU-intensive tasks:plaintextCopy codeThread Count = Number of Cores + 1

For I/O-bound tasks:plaintextCopy codeThread Count = Number of Cores * (1 + Wait Time / Compute Time)

5. Avoid Overloading the Executor

Submit tasks judiciously to avoid thread pool saturation.

Use a RateLimiter to control task submission rate:javaCopy codeRateLimiter rateLimiter = RateLimiter.create(10.0); // 10 tasks per second executor.submit(() -> { rateLimiter.acquire(); performTask(); });

6. Leverage Asynchronous Programming

Use Java’s CompletableFuture for non-blocking, asynchronous task execution:

java

Copy code

CompletableFuture.runAsync(() -> performTask(), executor) .thenRun(() -> postProcess());

7. Reuse Executors

Do not create new executors frequently. Instead, reuse a single executor instance for multiple tasks.

8. Use Custom ThreadFactory

Create a custom ThreadFactory to manage thread naming and prioritization:

java

Copy code

ThreadFactory customThreadFactory = r -> { Thread t = new Thread(r); t.setName("CustomPoolThread-" + t.getId()); t.setPriority(Thread.NORM_PRIORITY); return t; }; ExecutorService executor = new ThreadPoolExecutor( 5, 20, 60L, TimeUnit.SECONDS, new LinkedBlockingQueue<>(100), customThreadFactory );

9. Profile and Monitor

JMX Monitoring:

Monitor thread pool status using JMX (Java Management Extensions).

javaCopy codeThreadPoolExecutor tpe = (ThreadPoolExecutor) executor; System.out.println("Active Threads: " + tpe.getActiveCount()); System.out.println("Completed Tasks: " + tpe.getCompletedTaskCount()); System.out.println("Queued Tasks: " + tpe.getQueue().size());

Use Metrics Libraries:

Libraries like Micrometer or Prometheus can provide advanced monitoring.

10. Handle Task Rejections

Implement a custom rejection policy:

java

Copy code

executor = new ThreadPoolExecutor( 5, 10, 60L, TimeUnit.SECONDS, new LinkedBlockingQueue<>(100), new ThreadPoolExecutor.AbortPolicy() { @Override public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) { System.err.println("Task rejected: " + r.toString()); // Custom handling logic } } );

11. Shut Down Executors Gracefully

Ensure the executor shuts down gracefully to avoid leaving tasks incomplete:

java

Copy code

executor.shutdown(); try { if (!executor.awaitTermination(60, TimeUnit.SECONDS)) { executor.shutdownNow(); } } catch (InterruptedException e) { executor.shutdownNow(); }

12. Avoid Deadlocks

Ensure tasks do not block on other tasks within the same thread pool.

Use separate thread pools if needed for dependent tasks.

Example Optimized Executor

java

Copy code

public class OptimizedExecutorExample { public static void main(String[] args) { ExecutorService executor = new ThreadPoolExecutor( 10, 50, 30, TimeUnit.SECONDS, new ArrayBlockingQueue<>(200), Executors.defaultThreadFactory(), new ThreadPoolExecutor.CallerRunsPolicy() ); for (int i = 0; i < 1000; i++) { executor.submit(() -> { System.out.println("Task executed by: " + Thread.currentThread().getName()); // Simulate work try { Thread.sleep(100); } catch (InterruptedException e) { Thread.currentThread().interrupt(); } }); } executor.shutdown(); } }

Summary of Best Practices

Choose the Right Executor: Fixed, cached, or custom ThreadPoolExecutor.

Optimize Thread Counts: Use profiling and workload-based tuning.

Monitor Performance: Use JMX, Micrometer, or custom logging.

Handle Rejections: Define appropriate policies.

Asynchronous Processing: Use CompletableFuture for non-blocking tasks.

Graceful Shutdown: Always clean up executor resources.

These steps should significantly improve the performance and reliability of your Executor implementation. Let me know if you need more details!

4o

You said:

Bean in springboot

ChatGPT said:

ChatGPT

In Spring Boot, a bean is an object that is managed by the Spring IoC (Inversion of Control) container. Beans are the backbone of a Spring application, representing the building blocks of the application.

Here’s a comprehensive guide to understanding and using beans in Spring Boot:

What is a Bean?

A bean is an instance of a class that is managed by the Spring container.

Beans are automatically instantiated, configured, and wired together by the container.

Beans are created using annotations or XML configuration (annotations are preferred in Spring Boot).

Creating Beans

1. Using @Component and Stereotype Annotations

Mark your class with @Component or other stereotype annotations like @Service, @Repository, or @Controller.

These annotations make the class a candidate for Spring's component scanning.

Example:

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@Component public class MyBean { public void doSomething() { System.out.println("Doing something..."); } }

2. Using @Bean in a Configuration Class

Define a method annotated with @Bean inside a @Configuration class.

Example:

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@Configuration public class AppConfig { @Bean public MyBean myBean() { return new MyBean(); } }

3. Automatic Bean Scanning

Spring Boot scans for beans in the base package (and sub-packages) of your application.

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@SpringBootApplication public class MySpringBootApplication { public static void main(String[] args) { SpringApplication.run(MySpringBootApplication.class, args); } }

Injecting Beans

1. Field Injection

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@Component public class MyService { @Autowired private MyBean myBean; public void process() { myBean.doSomething(); } }

2. Constructor Injection (Recommended)

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@Component public class MyService { private final MyBean myBean; @Autowired public MyService(MyBean myBean) { this.myBean = myBean; } public void process() { myBean.doSomething(); } }

3. Setter Injection

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@Component public class MyService { private MyBean myBean; @Autowired public void setMyBean(MyBean myBean) { this.myBean = myBean; } public void process() { myBean.doSomething(); } }

Bean Scopes

Singleton (default): A single instance of the bean is created and shared.

Prototype: A new instance is created each time the bean is requested.

Request: A new instance is created for each HTTP request (Web context).

Session: A new instance is created for each HTTP session (Web context).

Example:

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@Component @Scope("prototype") // Bean will be created for every request public class MyPrototypeBean { public void doSomething() { System.out.println("Prototype bean action."); } }

Lifecycle of a Bean

Initialization:

Use @PostConstruct to define initialization logic.

Example:javaCopy code@Component public class MyBean { @PostConstruct public void init() { System.out.println("Bean initialized"); } }

Destruction

@ComponentScan in Spring Boot is an annotation used to specify the base packages or classes that Spring should scan for components, configurations, and services to create beans. By default, Spring Boot automatically scans for components in the package of the main application class (@SpringBootApplication) and its sub-packages.

However, when you need to customize the scanning behavior, @ComponentScan comes into play.

What is @ComponentScan?

The @ComponentScan annotation tells Spring where to look for Spring-managed components (e.g., classes annotated with @Component, @Service, @Repository, or @Controller).

It is often used in conjunction with the @Configuration or @SpringBootApplication annotations.

Default Behavior

When you annotate your main application class with @SpringBootApplication, it implicitly includes @ComponentScan with the base package as the package of the main class.

Example:

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@SpringBootApplication public class MyApplication { public static void main(String[] args) { SpringApplication.run(MyApplication.class, args); } }

In this case, Spring Boot scans the package com.example.myapp (where MyApplication is located) and its sub-packages for components.

Customizing @ComponentScan

If your components are located outside the default package structure, or if you want to narrow down the scanning area, you can specify the packages or classes explicitly.

1. Specifying Base Packages

Use the basePackages attribute to define one or more packages to scan:

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@ComponentScan(basePackages = {"com.example.service", "com.example.repository"}) @Configuration public class AppConfig { }

2. Specifying Base Package Classes

Use the basePackageClasses attribute to specify classes in the packages you want to scan:

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@ComponentScan(basePackageClasses = {MyService.class, MyRepository.class}) @Configuration public class AppConfig { }

This will scan the packages containing MyService and MyRepository.

3. Exclude Specific Classes

Use the excludeFilters attribute to exclude specific components:

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@ComponentScan( basePackages = "com.example", excludeFilters = @ComponentScan.Filter(type = FilterType.ASSIGNABLE_TYPE, value = MyExcludedClass.class) ) @Configuration public class AppConfig { }

Common Use Cases

Case 1: Multiple Base Packages

If your components are spread across different packages that are not sub-packages of the main application class:

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@SpringBootApplication @ComponentScan(basePackages = {"com.example.module1", "com.example.module2"}) public class MyApplication { public static void main(String[] args) { SpringApplication.run(MyApplication.class, args); } }

Case 2: Including and Excluding Specific Components

You can include or exclude certain components during scanning.

Exclude by Annotation:

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@ComponentScan( basePackages = "com.example", excludeFilters = @ComponentScan.Filter(type = FilterType.ANNOTATION, value = Deprecated.class) )

Include Specific Filters:

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@ComponentScan( basePackages = "com.example", includeFilters = @ComponentScan.Filter(type = FilterType.REGEX, pattern = ".*Service") )

Attributes of @ComponentScan

AttributeDescriptionbasePackagesArray of base packages to scan. Defaults to the package of the annotated class.basePackageClassesArray of classes; Spring scans the packages containing these classes.includeFiltersFilters for including specific components in the scan.excludeFiltersFilters for excluding specific components from the scan.lazyInitIndicates whether beans should be lazily initialized.

Example: Full Usage

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@ComponentScan( basePackages = {"com.example.service", "com.example.repository"}, includeFilters = @ComponentScan.Filter(type = FilterType.ANNOTATION, value = Service.class), excludeFilters = @ComponentScan.Filter(type = FilterType.ASSIGNABLE_TYPE, value = MyExcludedService.class), lazyInit = true ) @Configuration public class AppConfig { }

How It Works with @SpringBootApplication

@SpringBootApplication includes @ComponentScan by default and scans the package of the annotated class.

To customize the behavior, you can either:

Add a @ComponentScan annotation to your main application class.

Use a separate configuration class with @ComponentScan.

Example:

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@SpringBootApplication @ComponentScan(basePackages = "com.example.custom") public class MyApplication { public static void main(String[] args) { SpringApplication.run(MyApplication.class, args); } }

Best Practices

Avoid Over-Scanning:

Limit the base packages to only where your components are located to reduce startup time.

Use basePackageClasses for Refactoring Safety:

Using basePackageClasses ensures scanning still works even if the package structure changes.

Keep Components Organized:

Use clear and consistent package structures to minimize the need for custom scanning.

This ensures efficient and predictable behavior of Spring's component scanning. Let me know if you need more

4o

You said:

Scope bean

ChatGPT said:

ChatGPT

In Spring, the scope of a bean defines its lifecycle and visibility within the application context. By default, Spring beans are singleton, but Spring provides several other scopes to suit different use cases.

Here’s a detailed overview of bean scopes in Spring, including examples and use cases:

1. Bean Scopes in Spring

1.1 Singleton (Default Scope)

Definition: A single instance of the bean is created and shared across the entire Spring container.

Use Case: Stateless services, configuration objects, and shared resources.

Example:javaCopy code@Component public class SingletonBean { public void doSomething() { System.out.println("Singleton instance: " + this); } } When used:javaCopy code@Autowired private SingletonBean singletonBean1; @Autowired private SingletonBean singletonBean2; // Both references (singletonBean1 and singletonBean2) point to the same instance.

1.2 Prototype

Definition: A new instance of the bean is created every time it is requested.

Use Case: Stateful beans, objects that maintain user/session-specific state.

Annotation:javaCopy code@Component @Scope("prototype") public class PrototypeBean { public void doSomething() { System.out.println("Prototype instance: " + this); } } When used:javaCopy code@Autowired private PrototypeBean prototypeBean1; @Autowired private PrototypeBean prototypeBean2; // prototypeBean1 and prototypeBean2 are different instances.

2. Web-Specific Scopes

For Spring Web applications, additional scopes are available:

2.1 Request

Definition: A new bean instance is created for each HTTP request.

Use Case: Request-scoped data like user preferences or API request metadata.

Annotation:javaCopy code@Component @Scope("request") public class RequestScopedBean { public void processRequest() { System.out.println("Request instance: " + this); } } Important: Request scope works only in Web-aware contexts.

2.2 Session

Definition: A single bean instance is created for each HTTP session.

Use Case: Session-specific data like shopping cart or user profile information.

Annotation:javaCopy code@Component @Scope("session") public class SessionScopedBean { public void processSession() { System.out.println("Session instance: " + this); } }

2.3 Application

Definition: A single bean instance is created for the entire ServletContext.

Use Case: Application-wide configurations, caches.

Annotation:javaCopy code@Component @Scope("application") public class ApplicationScopedBean { public void processApplication() { System.out.println("Application instance: " + this); } }

2.4 WebSocket

Definition: A single bean instance is created for the lifecycle of a WebSocket.

Use Case: WebSocket-specific data like user interactions in real-time apps.

Annotation:javaCopy code@Component @Scope("websocket") public class WebSocketScopedBean { public void processWebSocket() { System.out.println("WebSocket instance: " + this); } }

3. Custom Scopes

You can define your own custom scopes by implementing the org.springframework.beans.factory.config.Scope interface.

Example:

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public class CustomScope implements Scope { private final Map<String, Object> beanMap = new HashMap<>(); @Override public Object get(String name, ObjectFactory<?> objectFactory) { return beanMap.computeIfAbsent(name, k -> objectFactory.getObject()); } @Override public Object remove(String name) { return beanMap.remove(name); } // Implement other methods as needed... }

Register the scope in a Spring configuration:

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@Bean public static CustomScopeConfigurer customScopeConfigurer() { CustomScopeConfigurer configurer = new CustomScopeConfigurer(); configurer.addScope("custom", new CustomScope()); return configurer; }

Use the scope in a bean:

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@Component @Scope("custom") public class CustomScopedBean { public void processCustomScope() { System.out.println("Custom scope instance: " + this); } }

4. Practical Example of Multiple Scopes

Configuration Class

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@Configuration @ComponentScan(basePackages = "com.example") public class AppConfig { }

Controller Example

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@RestController public class BeanScopeController { @Autowired private SingletonBean singletonBean; @Autowired private PrototypeBean prototypeBean; @Autowired private RequestScopedBean requestScopedBean; @Autowired private SessionScopedBean sessionScopedBean; @GetMapping("/scopes") public String getBeanScopes() { return "Singleton: " + singletonBean + "<br>" + "Prototype: " + prototypeBean + "<br>" + "Request: " + requestScopedBean + "<br>" + "Session: " + sessionScopedBean; } }

5. Bean Scope Proxy for Scoped Beans

For injecting beans with non-singleton scopes (e.g., @Scope("prototype")) into singleton beans, use scoped proxies.

Example:

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@Component @Scope(value = "request", proxyMode = ScopedProxyMode.TARGET_CLASS) public class RequestScopedBean { public String process() { return "Request Scoped Bean instance: " + this; } }

The proxy ensures the correct instance is injected when needed.

6. Comparing Singleton vs Prototype

AspectSingletonPrototypeInstancesOne instance per Spring containerNew instance every requestUse CaseShared, stateless objectsStateful, temporary objectsLifecycleManaged fully by SpringOnly created by Spring, not managed

Key Notes

Always consider thread-safety when using non-singleton scopes.

Web-specific scopes require a Web application context.

Use ScopedProxy when injecting non-singleton scoped beans into singleton beans.

Let me know if you need further clarification or examples!

4o

You said:

Getbean

ChatGPT said:

ChatGPT

In Spring, the getBean() method is used to retrieve a specific bean from the Spring ApplicationContext. It allows you to fetch and use beans that are managed by the Spring container programmatically.

Here's a detailed guide on how to use getBean() in Spring:

1. Retrieving Beans with getBean()

The getBean() method is available in the ApplicationContext or BeanFactory interfaces. Below are the common ways to use it:

1.1. By Bean Name

Retrieve a bean using its name:

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ApplicationContext context = new AnnotationConfigApplicationContext(AppConfig.class); MyBean myBean = (MyBean) context.getBean("myBean"); myBean.doSomething();

1.2. By Bean Class

Retrieve a bean by its type:

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MyBean myBean = context.getBean(MyBean.class); myBean.doSomething();

1.3. By Bean Name and Class

Retrieve a bean by specifying both its name and class:

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MyBean myBean = context.getBean("myBean", MyBean.class); myBean.doSomething();

2. Full Example

2.1. Define a Bean

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@Component public class MyBean { public void doSomething() { System.out.println("Doing something..."); } }

2.2. Create a Configuration Class

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@Configuration @ComponentScan(basePackages = "com.example") public class AppConfig { }

2.3. Use getBean() in Main Method

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public class MainApp { public static void main(String[] args) { ApplicationContext context = new AnnotationConfigApplicationContext(AppConfig.class); // Retrieve bean by name MyBean beanByName = (MyBean) context.getBean("myBean"); beanByName.doSomething(); // Retrieve bean by class MyBean beanByClass = context.getBean(MyBean.class); beanByClass.doSomething(); // Retrieve bean by name and class MyBean beanByNameAndClass = context.getBean("myBean", MyBean.class); beanByNameAndClass.doSomething(); } }

3. Advantages of Using @Autowired Instead

While getBean() is useful, it’s better to rely on dependency injection (@Autowired) for most cases, as it’s more idiomatic in Spring and reduces coupling.

Example with @Autowired:

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@Component public class MyService { @Autowired private MyBean myBean; public void process() { myBean.doSomething(); } }

4. Use Cases for getBean()

Dynamic Bean Retrieval: When you need to retrieve a bean dynamically at runtime.

Non-Autowired Scenarios: When dependency injection cannot be used (e.g., in legacy or utility code).

Multiple Beans: When multiple beans of the same type exist, and you need to fetch a specific one by name.

5. Handling Multiple Beans

If there are multiple beans of the same type, getBean() by class will throw a NoUniqueBeanDefinitionException.

Example:

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@Component("beanA") public class MyBeanA { } @Component("beanB") public class MyBeanB { }

Retrieve a specific bean by name:

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MyBeanA beanA = context.getBean("beanA", MyBeanA.class);

6. When Not to Use getBean()

Overuse: Avoid excessive use of getBean() as it couples your code to the Spring container.

Preferred Alternative: Use @Autowired, @Inject, or constructor injection wherever possible.

7. Accessing getBean() Without ApplicationContext

If you need access to beans without explicitly calling ApplicationContext, you can use a utility class like the one below:

Example Utility Class:

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@Component public class SpringContext { private static ApplicationContext context; @Autowired public void setApplicationContext(ApplicationContext context) { SpringContext.context = context; } public static <T> T getBean(Class<T> beanClass) { return context.getBean(beanClass); } public static Object getBean(String beanName) { return context.getBean(beanName); } }

8. Example Scenarios

Scenario 1: Dynamic Retrieval

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String beanName = "myDynamicBean"; MyBean myBean = context.getBean(beanName, MyBean.class); myBean.doSomething();

Scenario 2: Use Case in Legacy Code

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ApplicationContext context = new AnnotationConfigApplicationContext(AppConfig.class); LegacyService legacyService = (LegacyService) context.getBean("legacyService"); legacyService.performLegacyTask();

This approach ensures you understand when and how to use getBean() effectively while keeping your application loosely coupled. Let me know if you need further clarification!

4o

You said:

Floder structure decond root of child sql

ChatGPT said:

ChatGPT

To represent and understand the folder structure and SQL relationships involving a root folder and its child folders, you can organize your data into a hierarchical structure using a parent-child relationship in an SQL database.

Here’s how to handle this scenario:

1. Table Schema for Folder Structure

A typical SQL table to represent a folder hierarchy might look like this:

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CREATE TABLE folders ( id INT AUTO_INCREMENT PRIMARY KEY, -- Unique identifier for the folder name VARCHAR(255) NOT NULL, -- Folder name parent_id INT DEFAULT NULL, -- Parent folder's ID (NULL for root) CONSTRAINT fk_parent FOREIGN KEY (parent_id) REFERENCES folders(id) ON DELETE CASCADE );

2. Sample Data

Root and Child Folders

Root folders have parent_id as NULL.

Child folders point to the id of their parent folder.

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INSERT INTO folders (name, parent_id) VALUES ('Root1', NULL), -- Root folder ('Child1', 1), -- Child folder of Root1 ('Child2', 1), -- Another child of Root1 ('SubChild1', 2), -- Sub-child of Child1 ('Root2', NULL), -- Another root folder ('Child3', 5); -- Child of Root2

3. Query to Fetch Folder Hierarchy

3.1. Get All Child Folders of a Root

To get all direct children of a root folder:

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SELECT * FROM folders WHERE parent_id = (SELECT id FROM folders WHERE name = 'Root1');

3.2. Recursive Query for Entire Hierarchy

If your database supports Common Table Expressions (CTEs) (e.g., MySQL 8+, PostgreSQL):

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WITH RECURSIVE folder_hierarchy AS ( SELECT id, name, parent_id FROM folders WHERE parent_id IS NULL -- Start from root folders UNION ALL SELECT f.id, f.name, f.parent_id FROM folders f INNER JOIN folder_hierarchy fh ON f.parent_id = fh.id ) SELECT * FROM folder_hierarchy;

This will return the entire hierarchy of all folders.

3.3. Fetch a Specific Folder and Its Descendants

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WITH RECURSIVE folder_hierarchy AS ( SELECT id, name, parent_id FROM folders WHERE name = 'Root1' -- Specify the root folder name UNION ALL SELECT f.id, f.name, f.parent_id FROM folders f INNER JOIN folder_hierarchy fh ON f.parent_id = fh.id ) SELECT * FROM folder_hierarchy;

4. Example Output

For the data above, querying Root1 and its hierarchy would produce:IDNameParent ID1Root1NULL2Child113Child214SubChild12

5. Deleting Folders

Deleting a folder and all its descendants can be managed via cascading deletes.

Example:

When deleting Root1, all related child and sub-child folders are also removed:

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DELETE FROM folders WHERE id = 1;

6. SQL Query to List Folder Paths

To display the full folder path for each folder (e.g., Root1/Child1/SubChild1), use a recursive query:

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WITH RECURSIVE folder_paths AS ( SELECT id, name, parent_id, name AS path FROM folders WHERE parent_id IS NULL UNION ALL SELECT f.id, f.name, f.parent_id, CONCAT(fp.path, '/', f.name) AS path FROM folders f INNER JOIN folder_paths fp ON f.parent_id = fp.id ) SELECT * FROM folder_paths;

Example Output:IDNamePath1Root1Root12Child1Root1/Child13Child2Root1/Child24SubChild1Root1/Child1/SubChild1

7. Advantages of This Structure

Scalable: Handles unlimited levels of hierarchy.

Easy to Query: Recursive queries allow fetching nested structures.

Relational Integrity: Foreign key constraints ensure valid relationships.

Let me know if you need further clarification or assistance!

4o

You said:

Sql server

ChatGPT said:

ChatGPT

To implement and manage a folder structure in SQL Server, you can create a parent-child hierarchical table. Here’s a step-by-step guide to achieve this, including examples specific to SQL Server:

1. Table Design

Create a table to represent folders, with a self-referencing foreign key to manage the parent-child relationship.

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CREATE TABLE Folders ( Id INT IDENTITY(1,1) PRIMARY KEY, -- Unique identifier for each folder Name NVARCHAR(255) NOT NULL, -- Folder name ParentId INT NULL, -- Parent folder ID (NULL for root folders) CONSTRAINT FK_Folders_Parent FOREIGN KEY (ParentId) REFERENCES Folders(Id) ON DELETE CASCADE );

2. Inserting Sample Data

Add root folders (ParentId = NULL) and child folders referencing their parent (ParentId = Id of the parent).

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INSERT INTO Folders (Name, ParentId) VALUES ('Root1', NULL), -- Root folder ('Child1', 1), -- Child of Root1 ('Child2', 1), -- Another child of Root1 ('SubChild1', 2), -- Child of Child1 ('Root2', NULL), -- Another root folder ('Child3', 5); -- Child of Root2

3. Querying the Folder Structure

SQL Server supports hierarchical queries with Common Table Expressions (CTEs).

3.1. Fetch All Folders and Their Hierarchies

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WITH FolderHierarchy AS ( SELECT Id, Name, ParentId, CAST(Name AS NVARCHAR(MAX)) AS Path FROM Folders WHERE ParentId IS NULL -- Start with root folders UNION ALL SELECT f.Id, f.Name, f.ParentId, CAST(fh.Path + '/' + f.Name AS NVARCHAR(MAX)) AS Path FROM Folders f INNER JOIN FolderHierarchy fh ON f.ParentId = fh.Id ) SELECT * FROM FolderHierarchy;

Output Example:IDNameParentIdPath1Root1NULLRoot12Child11Root1/Child13Child21Root1/Child24SubChild12Root1/Child1/SubChild15Root2NULLRoot26Child35Root2/Child3

3.2. Fetch All Child Folders of a Specific Folder

To get direct children of Root1:

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SELECT * FROM Folders WHERE ParentId = (SELECT Id FROM Folders WHERE Name = 'Root1');

3.3. Recursive Query for Descendants of a Specific Folder

Fetch a specific folder (Root1) and all its descendants:

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WITH FolderHierarchy AS ( SELECT Id, Name, ParentId FROM Folders WHERE Name = 'Root1' -- Start with the specified folder UNION ALL SELECT f.Id, f.Name, f.ParentId FROM Folders f INNER JOIN FolderHierarchy fh ON f.ParentId = fh.Id ) SELECT * FROM FolderHierarchy;

Output Example (for Root1):IDNameParentId1Root1NULL2Child113Child214SubChild12

4. Path Representation

To display the full path of each folder:

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WITH FolderPaths AS ( SELECT Id, Name, ParentId, CAST(Name AS NVARCHAR(MAX)) AS Path FROM Folders WHERE ParentId IS NULL UNION ALL SELECT f.Id, f.Name, f.ParentId, CAST(fp.Path + '/' + f.Name AS NVARCHAR(MAX)) AS Path FROM Folders f INNER JOIN FolderPaths fp ON f.ParentId = fp.Id ) SELECT Id, Name, ParentId, Path FROM FolderPaths;

Output Example:IDNamePath1Root1Root12Child1Root1/Child13Child2Root1/Child24SubChild1Root1/Child1/SubChild1

5. Deleting a Folder and Its Descendants

Deleting a folder will also delete all its child folders because of the ON DELETE CASCADE constraint.

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DELETE FROM Folders WHERE Id = 1; -- Deletes Root1 and all its descendants

6. Updating Folder Names

If you want to rename a folder, you can do so directly:

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UPDATE Folders SET Name = 'RenamedRoot1' WHERE Id = 1;

7. Additional Features

7.1. Count All Descendants for a Folder

To count all descendants of a specific folder:

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WITH FolderHierarchy AS ( SELECT Id FROM Folders WHERE Id = 1 -- Start with Root1 UNION ALL SELECT f.Id FROM Folders f INNER JOIN FolderHierarchy fh ON f.ParentId = fh.Id ) SELECT COUNT(*) AS DescendantCount FROM FolderHierarchy;

7.2. Search Folders by Partial Path

If you store paths, you can search for folders that match a specific path:

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SELECT * FROM Folders WHERE Name LIKE '%Child1%';

8. Best Practices

Indexes:

Create indexes on Id and ParentId for faster lookups:sqlCopy codeCREATE INDEX IX_Folders_ParentId ON Folders (ParentId);

Constraints:

Use UNIQUE constraints if folder names should be unique within the same parent.

Validation:

Add triggers or constraints to prevent circular references (e.g., a folder being its own ancestor).

This approach allows you to represent and query folder hierarchies efficiently in SQL Server, handling both simple and complex folder relationships. Let me know if you need further clarification or advanced queries!

4o

You said:

Need second child

ChatGPT said:

ChatGPT

To fetch the second child of a parent folder in SQL Server, you can use the ROW_NUMBER() function to assign a rank to the child folders and then filter based on the rank.

1. Table Example

Here’s a sample Folders table structure and data:

Table Definition:

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CREATE TABLE Folders ( Id INT IDENTITY PRIMARY KEY, Name NVARCHAR(255) NOT NULL, ParentId INT NULL, CONSTRAINT FK_Folders_Parent FOREIGN KEY (ParentId) REFERENCES Folders(Id) );

Sample Data:

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INSERT INTO Folders (Name, ParentId) VALUES ('Root1', NULL), -- Root folder ('Child1', 1), -- First child of Root1 ('Child2', 1), -- Second child of Root1 ('Child3', 1), -- Third child of Root1 ('SubChild1', 2); -- Child of Child1

2. Fetch the Second Child

Query Explanation:

Use ROW_NUMBER() to rank the child folders for a specific parent.

Filter rows where the rank is 2 to fetch the second child.

Query:

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WITH RankedFolders AS ( SELECT Id, Name, ParentId, ROW_NUMBER() OVER (PARTITION BY ParentId ORDER BY Id ASC) AS RowNumber FROM Folders ) SELECT Id, Name, ParentId FROM RankedFolders WHERE RowNumber = 2 AND ParentId = (SELECT Id FROM Folders WHERE Name = 'Root1');

3. Explanation

ROW_NUMBER():

Assigns a unique rank to each child of a parent based on the ORDER BY clause (e.g., Id in ascending order).

PARTITION BY:

Groups rows by ParentId so each parent’s children are ranked independently.

WHERE RowNumber = 2:

Filters for the second-ranked child.

ParentId Condition:

Ensures that only children of the specific parent folder (Root1) are considered.

4. Query Output

For the sample data, the result would be:IDNameParentId3Child21

5. Fetch Second Child for All Parents

To fetch the second child for all parents:

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WITH RankedFolders AS ( SELECT Id, Name, ParentId, ROW_NUMBER() OVER (PARTITION BY ParentId ORDER BY Id ASC) AS RowNumber FROM Folders ) SELECT Id, Name, ParentId FROM RankedFolders WHERE RowNumber = 2;

Output: For the given data, this query will return the second child for all parents.

6. Adding More Sorting Logic

If you want to use a custom sorting criterion (e.g., by name or creation date), update the ORDER BY clause in the ROW_NUMBER() function:

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ROW_NUMBER() OVER (PARTITION BY ParentId ORDER BY Name ASC) AS RowNumber

This approach ensures you can dynamically fetch the second child of any parent folder in SQL Server. Let me know if you need further assistance!

4o

You said:

How do u know bean is prototype

ChatGPT said:

ChatGPT

To determine whether a Spring bean is a prototype or another scope, you can use the following approaches:

1. Checking Scope Programmatically

You can check the scope of a Spring bean programmatically by inspecting its metadata using the ConfigurableApplicationContext or BeanFactory.

Example:

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import org.springframework.beans.factory.config.BeanDefinition; import org.springframework.context.ApplicationContext; import org.springframework.context.annotation.AnnotationConfigApplicationContext; public class BeanScopeChecker { public static void main(String[] args) { ApplicationContext context = new AnnotationConfigApplicationContext(AppConfig.class); // Get the bean definition String beanName = "myBean"; // Replace with your bean name BeanDefinition beanDefinition = ((AnnotationConfigApplicationContext) context).getBeanFactory().getBeanDefinition(beanName); // Check the scope String scope = beanDefinition.getScope(); if (scope.isEmpty()) { scope = "singleton"; // Default scope } System.out.println("Scope of bean '" + beanName + "' is: " + scope); } }

2. Using @Scope Annotation

Inspect the bean class to check if it is annotated with @Scope.

Example:

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import org.springframework.context.annotation.Scope; import org.springframework.stereotype.Component; @Component @Scope("prototype") public class MyBean { public MyBean() { System.out.println("Prototype bean created!"); } }

If the bean is annotated with @Scope("prototype"), it is a prototype bean.

3. Observing Behavior

You can test a bean's behavior to confirm its scope:

Example:

If the bean is singleton, Spring will always return the same instance.

If the bean is prototype, Spring will create a new instance every time it is requested.

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import org.springframework.context.ApplicationContext; import org.springframework.context.annotation.AnnotationConfigApplicationContext; public class BeanScopeTest { public static void main(String[] args) { ApplicationContext context = new AnnotationConfigApplicationContext(AppConfig.class); // Fetch the same bean twice MyBean bean1 = context.getBean(MyBean.class); MyBean bean2 = context.getBean(MyBean.class); // Compare the instances System.out.println("Are bean1 and bean2 the same? " + (bean1 == bean2)); } }

Output:

For singleton scope: true

For prototype scope: false

4. Enable Logging

You can add logging in the constructor of the bean to observe when it is created. This is helpful to identify prototype beans, as they will log a new creation message for each request.

Example:

java

Copy code

@Component @Scope("prototype") public class MyBean { public MyBean() { System.out.println("New prototype bean instance created!"); } }

5. Use Spring Boot Actuator

If you are using Spring Boot with Actuator enabled, you can view bean details, including their scope, via the /actuator/beans endpoint.

Steps:

Add Actuator dependency to your pom.xml or build.gradle:xmlCopy code<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency>

Enable the endpoint in application.properties:propertiesCopy codemanagement.endpoints.web.exposure.include=beans

Access the endpoint:bashCopy codehttp://localhost:8080/actuator/beans

Look for your bean in the JSON output to see its scope.

6. Debug Using Spring Context

Enable debugging to trace how Spring creates and manages beans:

Set a breakpoint in the constructor of the bean.

Observe how many times the constructor is invoked:

Singleton: Once during the application context initialization.

Prototype: Each time the bean is requested.

[centizen]

Guide to Retrieve the Secret Value Using AWS Secret Manager

App developers are hunting all possible means to find a secure way to store their data in the database or Redis. (Redis is an open-source in-memory Data Structure Store, used as a database and a caching layer or a message broker.) One of the challenging tasks with the database is the storage and retrieval, the process is hard to code. And AWS Secret Manager is a problem solver. The AWS Secret Manager focuses to keep your data in secret. The secrets may be your database credentials, passwords or third party API.

Let us walk you through the process of how to keep the Secret a secret using the AWS Secret Manager.

1.Log into your AWS account, search and select the Secret Manager. Afterwards, enter into the Secret Manager Console and click on the “Store a new secret”.

2. In the “Store a new secret” option, you will find the options to select a Secret type.

Credentials for RDS database

Credentials for Redshift Cluster

Credentials for Document database

Credentials for Other database

Other type of secrets

If you do not have a definite value, go with “Other type of secrets”. Then enter the appropriate key name and hit Next.

Specify the “Secret name and its description” in the particular fields and other options (optional). Just hit Next.

3. After completing Steps 1 and 2, you will be taken to the “Configure Automatic Rotation”. There is an available option to “Disable or Enable the automatic rotation” of the keys via lambda function. Select “Disable” and follow to the next level.

4. You can “Review”, your data in the previous steps and click “Store” button. Then, you’ll get the sample snippets of Java.

This is the generated Snippet code sample:</.h2

// Use this code snippet in your app.

// If you need more information about configurations or implementing the sample code, visit the AWS docs: // https://aws.amazon.com/developers/getting-started/nodejs/ // Load the AWS SDK var AWS = require(‘aws-sdk’), region = “us-west-2”, secretName = “mysecretkey”, secret, decodedBinarySecret; // Create a Secrets Manager client var client = new AWS.SecretsManager({ region: region }); // In this sample we only handle the specific exceptions for the ‘GetSecretValue’ API. // See https://docs.aws.amazon.com/secretsmanager/latest/apireference/API_GetSecretValue.html // We rethrow the exception by default. client.getSecretValue({SecretId: secretName}, function(err, data) { if (err) { if (err.code === ‘DecryptionFailureException’) // Secrets Manager can’t decrypt the protected secret text using the provided KMS key. // Deal with the exception here, and/or rethrow at your discretion. throw err; else if (err.code === ‘InternalServiceErrorException’) // An error occurred on the server side. // Deal with the exception here, and/or rethrow at your discretion. throw err; else if (err.code === ‘InvalidParameterException’) // You provided an invalid value for a parameter. // Deal with the exception here, and/or rethrow at your discretion. throw err; else if (err.code === ‘InvalidRequestException’) // You provided a parameter value that is not valid for the current state of the resource. // Deal with the exception here, and/or rethrow at your discretion. throw err; else if (err.code === ‘ResourceNotFoundException’) // We can’t find the resource that you asked for. // Deal with the exception here, and/or rethrow at your discretion. throw err; } else { // Decrypts secret using the associated KMS CMK. // Depending on whether the secret is a string or binary, one of these fields will be populated. if (‘SecretString’ in data) { secret = data.SecretString; } else { let buff = new Buffer(data.SecretBinary, ‘base64’); decodedBinarySecret = buff.toString(‘ascii’); } } // Your code goes here. });

Hope this helped you learn a way to secure your content.