#firestore

[l-stanny]

Angular SPA integrated with the Spotify Web API returns JSON metadata about music artists, albums, and tracks, directly from the Spotify Data Catalogue.

[govindhtech]

Google Cloud Databases Helps Loyal Guru Slash Query Latency

Google Cloud Databases

The folks at Loyal Guru are aware of the difficulties merchants have in fostering consumer engagement and loyalty in the face of quickly changing consumer demands. Retail clients can use Loyal Guru’s loyalty and offer personalization platform to analyse customer data and dynamically customise promotions to match specific contexts and preferences. The objective is to assist shops in building enduring relationships by making them more relevant.

Innovation is essential to us because the retail industry is constantly changing and neither should they. Loyal Guru was aware that a strong platform will enable the rapid and large-scale delivery of fully personalised experiences. For the purpose of managing Loyal Guru’s databases and infrastructure, Loyal Guru teamed with Google Cloud. AlloyDB offers the performance and agility required to continuously improve the features of Loyal Guru’s platform and assist us in seeing new patterns rather than just responding to them. These technologies work well along with other Google  Cloud databases offerings like Firestore and BigQuery.

Enabling customisation with high-performance database systems

With customised offers, promotions, and brand experiences, merchants can connect customers on a deep level with the aid of Loyal Guru. However, sophisticated data processing and analytics capabilities are needed to deliver this at scale. Retailers who want to achieve precise audience segmentation and dynamic offer changes that maximise relevance must absorb and act upon customers’ behavioural data in real time across various touchpoints.

These vital personalisation features require a scalable, high-performance database to power. Customers of Loyal Guru want immediate access to transactional records, offer specifics, customer data, and more for updating and querying during customer interactions. Database overload causes sluggish replies and unsatisfactory client experiences. For this reason, Loyal Guru decided to use Google  Cloud databases as the foundation for their platform.

A scalable, safe database approach

Firestore, BigQuery, and AlloyDB for PostgreSQL are the three potent Google  Cloud databases technologies at the centre of Loyal Guru’s architecture.

Transactional workloads using AlloyDB

Loyal Guru’s relational database, AlloyDB, provides better performance and faster analytical capabilities than they had anticipated. Loyal Guru was aware that Google Cloud databases offer remarkable scalability and speed. AlloyDB powers all of Loyal Guru’s essential transactional functions, such as offer redemptions, user profiles, and loyalty programme details. It guarantees dependable, latency-free access to this vital data for Loyal Guru APIs. It also offers a solid platform on which to begin leveraging the capabilities of Gemini and AlloyDB to develop generative AI applications that will enable Loyal Guru to offer more services.

Large traffic surges from significant shopping events on Loyal Guru frequently resulted in bottlenecks prior to the use of AlloyDB. The proliferation of data was difficult for Loyal Guru to handle, pushing the boundaries of their storage capacity. These problems have been significantly reduced by AlloyDB’s autopilot storage management feature, which automatically modifies store capacity to satisfy Loyal Guru demands without the need for human involvement. In total, Loyal Guru optimised storage from 2TB to 1.3TB, a 35% improvement, and decreased query latency by 40–50%.

Firestore for reads with a high concurrency

For high-throughput read operations on comparatively static data, such loyalty point balances and product catalogues, Loyal Guru uses Firestore in Datastore Mode. Its capacity to manage high concurrency without sacrificing speed makes it perfect for workloads that require a lot of reading. Because of this, Loyal Guru’s platform was able to continue operating with great availability and performance even when stores utilising its services sent in the highest read loads.

BigQuery for data analysis

Loyal Guru processes massive behavioural datasets through BigQuery for analytics and business intelligence in order to maximise the value from its data assets. As the data warehouse solution for Loyal Guru, Loyal Guru uses BigQuery to execute intricate queries, show patterns, and provide insights that inform strategic choices. Based on the data of Loyal Guru customers, these analytics capabilities are essential for optimising marketing tactics, product roadmaps, and Loyal Guru personalization models. Their ability to process large datasets and intricate queries quickly is further enhanced by BigQuery’s scalable and fully managed architecture, which keeps us free from infrastructure bottlenecks.

To assist us deliver a safe service with high availability, Loyal Guru uses a number of Google  Cloud databases components in addition to these three data products. We can scale Loyal Guru APIs automatically thanks to Google App Engine’s flexible environment, and Loyal Guru uses Firebase Hosting to host their progressive web app (PWA) for campaign management. For cloud-native security and traffic distribution, Loyal Guru also uses  Cloud Armour and Cloud Load Balancing.

Loyal Guru may increase the scalability and dependability of their services through cloud balancing by enhancing rotation and escalation procedures. In addition, Loyal Guru can screen outgoing or invalid attacks before they reach the GAE Service. This works in tandem with Cloud Armour, enabling us to identify certain attack attempts such as XSS, SQLi, and other prevalent malevolent activities.

Loyal Guru is still using Google Cloud

Loyal Guru has enhanced security, raised database speed, and met Loyal Guru SLA promises to their clients by optimising their infrastructure with Google Cloud’s completely managed services. Their Loyal Guru APIs now have roughly 60% less latency when connecting to Google  Cloud databases.

Loyal Guru intends to use read replicas in the future for improved availability and dependability. Additionally, Loyal Guru wants to take use of AlloyDB’s impending horizontal scalability features to facilitate future growth. To get closer to real-time operational procedures, Loyal Guru also intends to shift a portion of its BigQuery workloads to AlloyDB.

Google  Cloud Database

For Loyal Guru, Google Cloud’s robust database services have changed the game by enabling us to reliably and scalable provide shops with relevant content. These Google Cloud databases will be essential for fostering innovation and exceeding client expectations as Loyal Guru keeps pushing the envelope.

Read more on Govindhtech.com

[search5]

python firestore API에서 에뮬레이터 사용하기

import grpc import firestore from google.cloud.firestore_v1.services.firestore import client as firestore_client from google.cloud.firestore_v1.services.firestore.transports.grpc import FirestoreGrpcTransport channel = grpc.insecure_channel("localhost:8080") transport = FirestoreGrpcTransport(channel=channel) firestore_db = firestore.Client() firestore_db._firestore_api_internal =…

[kiwiana-writes]

Wrapped drabbles counter-prompt: whatever number you have something by Muna at because I am currently mainlining their live album and LISTEN. But if they are SHOCKINGLY not on your wrapped, I'm obviously going with #1. :P

#1: Becoming Unbecoming by Leanna Firestore

Everything comes to a head in Alex's second year of law school.

He can only blame himself, honestly. He feels the burnout coming, figures he can push through it the way he always has—don't stop, don't think, just keep smiling through it.

There's one key difference this time, though: Henry.

Henry won't let him run himself into the ground. He puts his foot down, pulls out the Royal Authority voice Alex usually only hears in the bedroom—which gives his body some very mixed signals—and holds Alex's hand all the way through getting a shiny new ADHD diagnosis.

[send me a number 1-100 and I'll write a drabble based off whatever song that corresponds to in my spotify wrapped apple music replay]

[shettysagar]

Top 5 React JS Projects That Will Instantly Boost Your Developer Portfolio

At Fusion Software Training Institute, we help students not only learn the core concepts of React JS but also apply them in hands-on projects that stand out. Here are five impressive React JS projects you should consider adding to your portfolio to demonstrate your capabilities: 1. Personal Portfolio Website (with React & React Router) A personal portfolio is more than a resume—it's your digital presence. Use React Router for navigation, styled-components or Tailwind CSS for styling, and deploy it on GitHub Pages or Vercel. Showcase your skills, projects, blog, and contact form. Key Skills Highlighted: React Components, Routing, Responsive Design, Deployment Read for More Info : Top React JS Projects 2. E-commerce Product Store (with Cart Functionality) Create a mini e-commerce platform where users can browse products, add them to a cart, and place mock orders. Integrate context API or Redux for state management. Key Skills Highlighted: State Management, API Integration, Local Storage, Component Reusability 3. Real-time Chat App (with Firebase Integration) Build a modern chat application using Firebase for real-time database and authentication. Add features like group chats, typing indicators, and message timestamps. Key Skills Highlighted: Firebase Auth & Firestore, Hooks, Real-time Communication 4. Task or Productivity Tracker (with Drag-and-Drop) Develop a productivity tool where users can create tasks, set deadlines, and move them across stages (To-Do, In Progress, Done) using drag-and-drop functionality. Key Skills Highlighted: React DnD Library, Hooks, State Updates, UX/UI Design 5. Weather App (with External API Integration) Build a dynamic weather forecast app using the OpenWeatherMap API. Users can search for any city and get real-time weather data. Key Skills Highlighted: API Fetching, Conditional Rendering, User Input Handling, Environment Variables   Ready to take the next step in your tech career? 📧 Email us at enquiry@fusion-institute.com 📞 Talk to our team at +91 98906 47273 or +91 74989 92609

[korshubudemycoursesblog]

🚀 Mastering the Cloud: Your Complete Guide to Google Cloud (GCP) in 2025

In the ever-expanding digital universe, cloud computing is the lifeline of innovation. Businesses—big or small—are transforming the way they operate, store, and scale using cloud platforms. Among the giants leading this shift, Google Cloud (GCP) stands tall.

If you're exploring new career paths, already working in tech, or running a startup and wondering whether GCP is worth diving into—this guide is for you. Let’s walk you through the what, why, and how of Google Cloud (GCP) and how it can be your ticket to future-proofing your skills and business.

☁️ What is Google Cloud (GCP)?

Google Cloud Platform (GCP) is Google’s suite of cloud computing services, launched in 2008. It runs on the same infrastructure that powers Google Search, Gmail, YouTube, and more.

It offers everything from virtual machines and data storage to advanced AI, machine learning tools, and serverless computing—all available via the web. In short: GCP gives individuals and businesses the power to innovate, analyze, and scale without worrying about physical servers or infrastructure costs.

🌎 Why is Google Cloud (GCP) Gaining Popularity?

Let’s face it: cloud wars are real. AWS and Azure have long been in the game, but GCP is rising fast—and here’s why:

🔐 1. Industry-Leading Security

Google has a security-first mindset. Their infrastructure is designed to keep data safe with features like default encryption, zero-trust architecture, and real-time threat detection.

⚙️ 2. Seamless Integration with Open Source and DevOps Tools

If you're a developer or DevOps engineer, you'll love GCP’s integration with Kubernetes (which Google originally developed), TensorFlow, Jenkins, and more. It’s open, flexible, and developer-friendly.

📊 3. Superior Data and Analytics Services

From BigQuery to Cloud Dataflow, GCP’s big data services are among the best in the industry. If you're into analytics, AI, or machine learning, GCP has tools that are fast, powerful, and easy to use.

💸 4. Cost-Effective and Transparent Pricing

No surprise bills. GCP’s pricing is pay-as-you-go, and it's often cheaper than competitors for many services. Plus, sustained use discounts reward users for long-term usage.

🌱 5. Sustainability

Google has been carbon-neutral since 2007 and aims to operate on carbon-free energy 24/7 by 2030. That’s a big win for environmentally conscious businesses and developers.

💼 Who Should Learn Google Cloud (GCP)?

GCP isn't just for hardcore developers. It’s for:

IT Professionals looking to upskill in cloud architecture

Software Engineers developing scalable apps

Data Scientists and Analysts building AI/ML pipelines

Business Owners moving operations to the cloud

Students aiming for competitive certifications

And here's the kicker—there’s no coding experience required to get started. Whether you're a newbie or seasoned pro, you can tailor your learning journey to your goals.

🎯 Career Opportunities After Learning GCP

As cloud adoption increases, demand for GCP-certified professionals is skyrocketing. Some in-demand job roles include:

Cloud Engineer

Cloud Architect

DevOps Engineer

Data Engineer

Machine Learning Engineer

Cloud Security Specialist

Companies like Spotify, PayPal, Twitter, and even NASA use GCP for their critical operations. That’s the level you’re stepping into.

🧠 What You'll Learn in a GCP Course

To really unlock GCP’s power, structured learning helps. One of the most comprehensive options is the Google Cloud (GCP) course available on Korshub. It’s packed with real-world scenarios and practical hands-on labs.

Here’s what you’ll typically cover:

✅ Core GCP Services

Compute Engine (virtual machines)

App Engine (serverless apps)

Cloud Functions

Cloud Run

✅ Storage & Databases

Cloud Storage

Firestore

Bigtable

Cloud SQL

✅ Networking

VPC (Virtual Private Cloud)

Cloud Load Balancing

CDN & DNS configuration

✅ Security & Identity

IAM (Identity and Access Management)

Security best practices

Compliance management

✅ AI & Machine Learning

AI Platform

Vision and Natural Language APIs

AutoML

✅ Data & Analytics

BigQuery

Dataflow

Dataproc

Looker

The goal is not just learning, but doing. Expect project-based learning, quizzes, and exam prep if you aim for certifications like Associate Cloud Engineer or Professional Cloud Architect.

🎓 Benefits of Getting GCP Certified

Google Cloud offers a range of certifications. Each one validates your skills and helps you stand out in a competitive market.

⭐ Here’s why it’s worth it:

Better Salaries: GCP-certified professionals earn an average of $130,000+ per year

More Job Offers: Companies actively search for certified candidates

Professional Credibility: Certifications validate your expertise

Faster Career Growth: You'll be trusted with bigger responsibilities

Cross-Industry Demand: From healthcare to finance to gaming—everyone needs cloud

📚 Best Way to Learn GCP: Start with a Structured Course

If you want the best head start, go with an expert-led course. The Google Cloud (GCP) specialization on Korshub offers:

Beginner-friendly modules

Interactive video lessons

Downloadable resources

Real-world projects

Lifetime access

Certification of completion

It’s built to help you master GCP step by step, even if you’re starting from scratch.

💡 Real-World Use Cases of Google Cloud (GCP)

Still wondering how this applies in the real world? Here are just a few industries using GCP every day:

🏥 Healthcare

Secure patient data storage

Machine learning for diagnosis

Real-time monitoring systems

💳 Finance

Fraud detection using AI models

High-frequency trading platforms

Data compliance with built-in tools

🎮 Gaming

Scalable multiplayer servers

Live analytics for player behavior

Content delivery to global users

🛒 E-commerce

Personalized shopping experiences

Smart inventory management

Voice & chatbot integration

🎓 Education

Scalable LMS platforms

AI-powered grading and assessments

Data-driven student insights

Whether you're building a mobile app, automating your business, or training a neural network—GCP gives you the tools.

🧰 Tools & Platforms GCP Works Well With

GCP doesn’t work in isolation. It plays nicely with:

GitHub, GitLab – for CI/CD pipelines

Terraform – for infrastructure as code

Apache Spark & Hadoop – for big data

Slack, Jira, and Notion – for team collaboration

Power BI & Tableau – for business intelligence

It’s designed to fit into your stack, not replace it.

[harveymagarin]

WK 11: iPara Customer Segments v9

Table of Contents

Introducton

What we tested (MVP)

Feedback

Our key takeaways

Introduction

For our 2nd week of MVP interview, some of the suggested features last week was implemented and the vehicle maintenance which was suggested from our panel in midterm pitch.

What We Tested (MVP)

Vehicle Maintenance Features

Added vehicle maintenance reminder functionality for drivers

Implemented UI for vehicle maintenance page

Connected vehicle management in operator mode to maintenance features

Firebase Integration

Set up Firestore integration for vehicle/maintenance data

Implemented CRUD operations for maintenance reminders

Ensured changes are properly updated in the database

PUV Type Selection Improvements

Implemented toggle functionality for PUV type selection in commuter mode

Added clearing of polyline and available routes when toggling PUV types

Connected driver’s vehicle maintenance status to vehicle management

Feedback

After our second round of user testing, we got actionable feedback off our recently implemented features especially the vehicle maintenance and enhanced PUV type selection.

Fare System Personalization

One remarkable proposal was related to passenger classification in the app, “The users should be able to see themselves as senior citizens or students or regular ones”, one of the commuters said. This straightforward addition will enable the app to compute the proper fare cuts for seniors and students to receive their proper transport tax cuts lawfully without driver awkward conversations.

The “Double Ride” Challenge

Our users identified the quintessential Filipino commuting scenario in which our app lags behind – the “double ride” scenario. As one tester put it, many commuters in CDO have to change “momogons” or “Sinsalis” or other types of PUVs to arrive at their destination. This feedback points out one of our current implementation’s main gaps, in that it is based on the assumption that people are making single-vehicle journeys instead of the connected trips that many people make each day.

Local Government Integration

Perhaps the most useful piece of advice was to increase our area of route coverage through formal partnership. “We hope that more will be available and connected to LGUs in Cagayan de Oro City,” mentioned some of the users. This feedback is suggestive of an opportunity for iPara to become an officially acknowledged mode of transport working hand in hand with local government units.

Moving Forward

Such insights show that although our maintenance features received a positive impression, users will want iPara to be closer to the true, more complex reality of daily commuting in Cagayan de Oro. IPara’s fare classification, multi-leg journeys, official route integration, and would not merely refer to request for features but a chance to make iPara an indispensable tool which understands local commuting patterns.

Our development roadmap will defer now these community-driven improvements so as to provide a more authentic and-worthy commuting companion for the people of Cagayan de Oro.

Our Key Takeaways

Fare Discount Integration

Implement user classification (senior citizen, student, regular) for automatic fare discount calculation

This addresses the need for accurate fare estimation based on passenger eligibility

Multi-leg Journey Planning

Add support for “double ride” scenarios where commuters need multiple PUVs to reach their destination

Implement route connections and transfers to create complete journey plans

Expanded Route Coverage

Prioritize adding more routes throughout Cagayan de Oro City

Collaborate with local government units (LGUs) to ensure comprehensive and accurate route information

Official Integration with Local Government

Explore partnerships with Cagayan de Oro LGUs for official route data

Potential for integration with local transportation management systems

These insights highlight that users appreciate the maintenance features but are looking for more comprehensive journey planning capabilities and official route information that reflects the real-world commuting experience in Cagayan de Oro.

[itechvision-company]

How to Choose the Right Tech Stack for Mobile App Development for iOS and Android

In today’s digital world, mobile apps are no longer a luxury-they’re a necessity. Whether you’re a startup with a disruptive idea or an established business looking to expand your digital footprint, investing in mobile app development for iOS and Android is a smart move. However, one of the most critical decisions you’ll face early on is choosing the right tech stack.

The tech stack-the combination of programming languages, frameworks, and tools used in app development-will directly impact your app’s performance, scalability, cost, and time-to-market. Selecting the wrong stack can result in a slow, buggy app or an inflated budget. On the other hand, choosing the right one sets the foundation for a smooth development process and long-term success.

In this blog, we’ll walk you through the essential factors to consider when selecting a tech stack for mobile app development for iOS and Android, and how a custom mobile app development company can guide you in making the right choices.

1. Understand the Project Requirements

Before diving into specific technologies, outline the goals and features of your app:

What’s the core functionality?

Do you need real-time features like chat or location tracking?

Will your app rely heavily on graphics or animations?

What platforms do you want to target-iOS, Android, or both?

What’s your timeline and budget?

Knowing these answers will help you and your development team match the right technologies to your needs.

2. Native vs. Cross-Platform Development

This is often the first fork in the road when choosing a tech stack:

Native Development

If performance, speed, and full access to platform-specific features are a priority, native development is your best bet.

iOS: Swift or Objective-C

Android: Kotlin or Java

Native apps generally provide a smoother user experience and better performance, but they also require separate codebases-meaning higher development costs and longer timelines.

Cross-Platform Development

Cross-platform frameworks allow you to write one codebase and deploy it to both platforms. Popular choices include:

React Native (JavaScript)

Flutter (Dart)

Xamarin (C#)

These tools are ideal for startups or businesses looking to enter the market quickly. A custom mobile app development company can help you weigh the pros and cons based on your app’s complexity and user expectations.

3. Frontend and Backend Technologies

Your mobile app isn’t just the user interface-it likely requires a backend to handle data storage, user authentication, and other services.

Frontend

For cross-platform apps:

React Native (by Facebook): Great for dynamic UIs and native-like performance.

Flutter (by Google): Ideal for high-performance, visually rich applications.

Backend

Popular backend stacks include:

Node.js: Scalable and event-driven, great for real-time applications.

Django (Python): High-security applications and rapid development.

Laravel (PHP): Suitable for content-heavy or enterprise apps.

Firebase: Backend-as-a-Service (BaaS), good for MVPs and quick development cycles.

Your choice should align with the expected user load, app features, and scalability requirements.

4. Database Choices

Your app’s data storage needs also affect your tech stack. Some common options are:

SQLite: Lightweight and good for local storage.

Realm: Ideal for real-time applications.

Firebase Realtime Database or Firestore: Best for cloud-based apps.

PostgreSQL or MongoDB: Suitable for complex, high-volume applications.

A custom mobile app development company can assess which database suits your app based on its size, structure, and security needs.

5. Security Considerations

Security should never be an afterthought. The right tech stack must support modern security standards, including:

Data encryption

Secure authentication (OAuth 2.0, JWT)

Compliance with regulations (e.g., GDPR, HIPAA)

Ensure your chosen technologies are actively maintained and widely used, so you benefit from community support and security patches.

6. Scalability and Maintenance

A good tech stack doesn’t just work today-it should be easy to maintain and scale tomorrow. Technologies with strong community support and regular updates are better choices in the long run.

You’ll also want to consider:

Ease of hiring developers

Cost of long-term maintenance

Integration capabilities with third-party services

7. Work With Experts

Choosing the right tech stack isn’t just about picking popular tools-it’s about selecting the right tools for your specific project. That’s where partnering with a custom mobile app development company can make a difference. They bring experience across multiple stacks and can offer strategic guidance, helping you avoid costly mistakes and focus on what matters most: building a successful product.

Choosing the right tech stack for mobile app development for iOS and Android is a foundational step in your digital journey. From native vs. cross-platform development to backend services and database choices, each decision impacts the app’s performance, cost, and future scalability.

If you’re unsure where to begin, a reputable custom mobile app development company like iTechVision can provide the expertise needed to turn your vision into a high-performing, user-friendly app.

[l-stanny]

Upgraded to @Angular version 19 https://listings-d5ac7.web.app/home 

*Upgraded biannually from version 8 - onward since 2020

*Utilizes enhanced dependency injection by shifting from constructor-based injection to using the inject() function

*Migrated to Angular’s standalone architecture

*Utilizes a boolean signal to represent the authentication state of a user and drive #UI updates and route protection

*Utilizes Angular’s ChangeDetectorRef methods to update the view instantaneously on-demand

*Streamlines responsiveness by eliminating unused #Bootstrap code

*Uses the new modular #Firebase Web SDK API surface designed to facilitate tree-shaking

[govindhtech]

Firestore Database: Now supports Multiple Databases

We are pleased to inform that Google were announced that Firestore Multiple Databases is now generally available. This feature improves data separation, security, resource management, and cost tracking by allowing you to manage multiple Firestore databases within a single Google Cloud project. With this milestone, all of Firestore’s SDKs, terraform resources, and the Google Cloud console now fully support multiple databases.

Strong data separation and performance are guaranteed by the independent isolation that each Firestore database enjoys. For instance, hotspotting traffic loads on one database won’t have a detrimental effect on how well other databases in the project operate.

How to create Firestore Database?

Here’s how to use the console to quickly create a new Firestore database:

Go to the Firestore service by navigating.

Select “CREATE DATABASE” from the menu.

Select a database id to act as your database’s unique identifier.

Choose the desired settings for the database configuration (Database Mode, Location, Configuration of Security Rules, etc.).

Do you want even more authority over the development and upkeep of your Firestore database? The Firestore database can be created and managed with Terraform, Firebase CLI, and gcloud. See the Firestore documentation’s “Create a database” section for a comprehensive walkthrough of these options.

Set up Firestore database security

Through IAM conditions, Firestore enables you to apply fine-grained security configurations on a single database. This feature enables precise, granular control by enabling the application of different security policies to different databases. As an example, you can only allow access to particular databases for particular user groups, which guarantees strong security and data isolation.

Using the conditions editor tool, apply the following conditions to a particular database:

Select the resource “firestore.googleapis.com”.kind

Enter the database resource name in the format “projects//databases/” as resource.name.

A few things to consider when setting up a security policy are:

If no condition is specified, all Firestore databases in the project will be automatically accessible to all IAM principals who are granted permission.

Tags are integrated with Firestore. By using a tag association, the integration enables you to allow or prohibit access to a specific set of databases. For further details, see the documentation for Conditional Access and Tags.

Similar to Firebase Security Rules, Firestore gives you more precise control over database access inside of your Firebase project. See the “Set up Firestore Security Rules” section for detailed instructions on how to further explore Granular Firebase Security Rules for Firestore.

View database costs and usage along with a billing breakdown

Per-database billing and usage breakdowns are provided by Firestore. You can use BigQuery to retrieve this cost data. The query that follows, for instance, shows how to obtain usage information for October 18, 2023 (UTC), broken down by specific Firestore database IDs.

For detailed instructions on setting up a smooth workflow for exporting your Cloud Billing data to BigQuery, please refer to the Cloud Billing documentation. Tags can also be used to enable fine-grained cost distribution among several Firestore databases. Please refer to the documentation titled “Structure of Detailed data export” for a more thorough understanding of the resulting data structure and schema.

Delete a Firestore database

A few things to consider before deleting the database are:

Deletion: Firestore removes data on your behalf after it has been deleted.

Cost: There are no extra expenses related to carrying out the deletion process. After the deletion operation, Firestore stops billing you for the storage cost one day later.

Backups: The resource lifecycles of Firestore backups are independent. The backups connected to the source database will not be erased automatically when your Firestore database is removed.

Backup Firestore database

It is advised that you create a new database with the resource name {(default)} if you are unfamiliar with the Firestore. Free-tier support is available for the (default) database, so you can test out Firestore’s features without having to pay anything up front. Moreover, the default database is the only one supported by the legacy App Engine runtime.

For vital databases, always have delete protection enabled. In production environments, this safeguard helps maintain data integrity by preventing accidental deletion.

Because they cannot be changed after creation, database resource names and locations should be carefully chosen during creation. On the other hand, you can remove the current database and then make a new one in a different location with the same resource name as needed. By doing this, you can change the location while keeping the resource name the same. If you intend to recover your data at the new location, don’t forget to make a backup of it beforehand.

What comes next?

The ability to manage multiple Firestore databases will soon be available in Firebase Console. Keep checking back!

Read more on Govindhetch.com

[xoance]

Mobile App Development Services: Transforming Ideas into Powerful Digital Experiences

In today’s mobile-first world, having a strong mobile presence isn’t just a competitive advantage—it’s a necessity. With over 6.8 billion smartphone users globally, businesses that invest in mobile app development can reach their customers where they spend most of their digital time. At Xoance, we specialize in crafting seamless, scalable, and smart mobile applications that help brands elevate user engagement and drive measurable growth.

Why Mobile App Development Matters

Mobile apps are more than just a convenience; they’re strategic tools that can boost brand loyalty, enhance customer experiences, and streamline operations. Whether you’re a startup, SME, or enterprise, a well-developed mobile app can:

Improve customer engagement and retention

Provide personalized services and real-time communication

Increase operational efficiency

Generate new revenue streams

Collect valuable user data and feedback

At Xoance, we understand the value of delivering meaningful mobile experiences. Our mobile app development services are designed to meet the dynamic needs of modern businesses across a wide range of industries.

Who We Are

Xoance is a full-service digital solutions company that combines creativity with technology to build exceptional digital products. With core expertise in web and mobile development, UI/UX design, branding, and SaaS, we offer end-to-end services tailored to your goals. Our mobile solutions cater to diverse sectors including healthcare, retail, education, real estate, FMCG, media, and manufacturing, making us a versatile partner in your digital journey.

Our Mobile App Development Services

We provide comprehensive mobile app development services that cover the entire lifecycle—from ideation to post-launch support.

1. iOS App Development

Our team builds elegant, high-performance iOS apps using Swift and Objective-C, designed for the Apple ecosystem. Whether it’s an enterprise-grade tool or a consumer-facing application, we ensure intuitive design and flawless functionality.

2. Android App Development

Using Kotlin and Java, we create custom Android applications that are optimized for performance, compatibility, and user satisfaction. Our apps are designed to work across a wide range of Android devices and versions.

3. Cross-Platform App Development

Need faster time-to-market without compromising quality? Our experts use Flutter and React Native to build cross-platform apps that offer native-like performance while reducing development time and cost.

4. Progressive Web Apps (PWA)

We also develop PWAs—web apps that deliver app-like experiences right from the browser. PWAs are lightweight, fast, and ideal for businesses looking to reach users across platforms without requiring a full app install.

5. App Maintenance & Optimization

Our support doesn’t end at launch. We offer ongoing maintenance, performance optimization, and feature upgrades to ensure your app remains updated, secure, and competitive.

Our Process: From Idea to Execution

At Xoance, we follow an agile, user-first approach to mobile app development. Our process is structured yet flexible to adapt to your vision:

Discovery & Planning: Understanding your goals, market, and audience

UI/UX Design: Creating intuitive, attractive, and human-centered interfaces

Development: Writing clean, scalable code using the latest tools and frameworks

Testing: Rigorous manual and automated QA for flawless performance

Launch & Support: Seamless deployment, app store publishing, and ongoing maintenance

We believe in close collaboration, transparency, and agility—ensuring you're involved every step of the way.

Technologies We Use

We leverage the latest technologies to build fast, secure, and scalable mobile apps:

Frontend: React Native, Flutter

Backend: Node.js, Firebase, PHP, Laravel

Databases: MySQL, MongoDB, Firestore

DevOps & Tools: Docker, GitHub Actions, CI/CD, Jira, Figma, Postman

Our deep technical expertise allows us to choose the right stack for each project, ensuring optimal performance and scalability.

Industries We Serve

Our mobile solutions are built with domain-specific features that cater to the unique needs of different industries:

Healthcare: Appointment booking, telemedicine, patient management

Retail & E-commerce: Product catalogs, loyalty programs, order tracking

Education: E-learning platforms, student portals, test prep apps

Real Estate: Property listings, virtual tours, agent tools

Media & Entertainment: Streaming apps, content discovery, interactive UX

Manufacturing: Field service apps, inventory tracking, process monitoring

Why Choose Xoance?

Client-Centric Approach: We focus on your goals, not just the tech.

UX-First Design: Our design process combines user psychology and data insights.

Scalability: We build with future growth in mind.

Dedicated Teams: Work with experienced developers, designers, and project managers.

End-to-End Service: From concept to post-launch support, we’re with you every step of the way.

Success Stories

We’ve helped startups scale, enterprises digitize, and brands connect with millions of users. From real-time tracking apps to e-commerce platforms and educational tools, our portfolio speaks for itself.

“Xoance turned our vision into a reality. The app they developed helped us increase user retention by 45% within six months.” – A satisfied client

Let’s Build Something Incredible

Ready to launch your next big idea? Whether you need a standalone app or want to integrate mobile into your digital ecosystem, Xoance is your trusted partner for mobile app development services. Let’s bring your concept to life with technology that works—and experiences that wow.

Contact Us Today 📧 biz@xoance.com 🌐 www.xoance.com 📞 +1 559-465-8444

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Топ-5 инструментов для работы с базами данных

При создании сайтов и разработке мобильных приложений для стартапа, одним из важнейших аспектов является эффективная работа с базами данных. В современном мире данные играют ключевую роль, и их правильное хранение и обработка — это основа любого успешного проекта. В этой статье я расскажу о пяти лучших инструментах для работы с базами данных, которые я использую в своей ежедневной практике.

1. PostgreSQL

PostgreSQL — это одна из самых мощных и популярных реляционных баз данных с открытым исходным кодом. Для создания сайтов и веб-приложений, где необходима высокая производительность и гибкость, PostgreSQL является отличным выбором. Он поддерживает сложные запросы, транзакции, а также работу с большими объёмами данных.

Особенно ценю в PostgreSQL его расширяемость и поддержка различных типов данных. Он идеально подходит для проектов, где требуется надёжность и высокая степень точности.

2. MySQL

MySQL — ещё одна популярная реляционная база данных, которая давно зарекомендовала себя в индустрии. Она проста в настройке, имеет широкую документацию и поддерживается множеством хостинговых сервисов. Для многих стартапов и малых проектов MySQL — это оптимальный выбор, особенно если важна скорость работы с базой данных и минимальные требования к серверным ресурсам.

Я использую MySQL для проектов, где не требуется сложная структура данных, но важна высокая скорость чтения и записи.

3. MongoDB

Если вам нужно работать с нереляционными данными или проект требует хранения данных в формате JSON, MongoDB — это идеальный инструмент. Он подходит для создания гибких и масштабируемых решений, что особенно важно при работе с мобильными приложениями и создании сайтов, где часто возникают изменения в структуре данных.

MongoDB позволяет хранить данные в виде документов, что даёт большую свободу в проектировании базы данных. Его ��асто используют для крупных проектов с высоким уровнем неопределённости в структуре данных или с потребностью в горизонтальном масштабировании.

4. Redis

Redis — это высокоскоростная база данных в памяти, которая используется для кэширования и обработки данных с низкой задержкой. Когда я работаю с мобильными приложениями или проектами, где необходима быстрая реакция на запросы пользователей, я обязательно использую Redis для кэширования часто запрашиваемых данных.

Его также можно использовать для реализации очередей сообщений, сессий пользователей и даже хранения временных данных. Redis идеально подходит для использования в проектах, где важна высокая скорость обработки запросов.

5. Firebase

Firebase — это платформа для разработки мобильных и веб-приложений, предоставляющая мощные инструменты для работы с базами данных. Она включает в себя Firestore, который является облачной базой данных NoSQL. Firebase позволяет быстро создавать масштабируемые приложения с реальным временем синхронизации данных между клиентами.

Я использую Firebase, когда требуется минимизировать время на настройку базы данных, а также когда нужно интегрировать данные с другими сервисами Google, такими как аутентификация, аналитика или хостинг.

Работа с базами данных — это важная часть создания сайтов и разработки мобильных приложений. В зависимости от требований проекта, выбор инструмента может сильно повлиять на производительность, масштабируемость и гибкость приложения. В своей практике я использую различные базы данных, такие как PostgreSQL, MySQL, MongoDB, Redis и Firebase, в зависимости от особенностей проекта.

Если вы хотите выбрать оптимальный инструмент для работы с данными, всегда учитывайте особенности вашего приложения и задачи, которые вам предстоит решить. Каждая из баз данных, о которых я упомянул, обладает своими преимуществами, и правильный выбор зависит от конкретных условий вашего стартапа.

[sathcreation]

Google Cloud Platform Coaching at Gritty Tech

Introduction to Google Cloud Platform (GCP)

Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. It provides a range of hosted services for compute, storage, and application development that run on Google hardware. With the rising demand for cloud expertise, mastering GCP has become essential for IT professionals, developers, and businesses alike For More…

At Gritty Tech, we offer specialized coaching programs designed to make you proficient in GCP, preparing you for real-world challenges and certifications.

Why Learn Google Cloud Platform?

The technology landscape is shifting rapidly towards cloud-native applications. Organizations worldwide are migrating to cloud environments to boost efficiency, scalability, and security. GCP stands out among major cloud providers for its advanced machine learning capabilities, seamless integration with open-source technologies, and powerful data analytics tools.

By learning GCP, you can:

Access a global infrastructure.

Enhance your career opportunities.

Build scalable, secure applications.

Master in-demand tools like BigQuery, Kubernetes, and TensorFlow.

Gritty Tech's GCP Coaching Approach

At Gritty Tech, our GCP coaching is crafted with a learner-centric methodology. We believe that practical exposure combined with strong theoretical foundations is the key to mastering GCP.

Our coaching includes:

Live instructor-led sessions.

Hands-on labs and real-world projects.

Doubt-clearing and mentoring sessions.

Exam-focused training for GCP certifications.

Comprehensive Curriculum

Our GCP coaching at Gritty Tech covers a broad range of topics, ensuring a holistic understanding of the platform.

1. Introduction to Cloud Computing and GCP

Overview of Cloud Computing.

Benefits of Cloud Solutions.

Introduction to GCP Services and Solutions.

2. Google Cloud Identity and Access Management (IAM)

Understanding IAM roles and policies.

Setting up identity and access management.

Best practices for security and compliance.

3. Compute Services

Google Compute Engine (GCE).

Managing virtual machines.

Autoscaling and load balancing.

4. Storage and Databases

Google Cloud Storage.

Cloud SQL and Cloud Spanner.

Firestore and Bigtable basics.

5. Networking in GCP

VPCs and subnets.

Firewalls and routes.

Cloud CDN and Cloud DNS.

6. Kubernetes and Google Kubernetes Engine (GKE)

Introduction to Containers and Kubernetes.

Deploying applications on GKE.

Managing containerized workloads.

7. Data Analytics and Big Data

Introduction to BigQuery.

Dataflow and Dataproc.

Real-time analytics and data visualization.

8. Machine Learning and AI

Google AI Platform.

Building and deploying ML models.

AutoML and pre-trained APIs.

9. DevOps and Site Reliability Engineering (SRE)

CI/CD pipelines on GCP.

Monitoring, logging, and incident response.

Infrastructure as Code (Terraform, Deployment Manager).

10. Preparing for GCP Certifications

Associate Cloud Engineer.

Professional Cloud Architect.

Professional Data Engineer.

Hands-On Projects

At Gritty Tech, we emphasize "learning by doing." Our GCP coaching involves several hands-on projects, including:

Setting up a multi-tier web application.

Building a real-time analytics dashboard with BigQuery.

Automating deployments with Terraform.

Implementing a secure data lake on GCP.

Deploying scalable ML models using Google AI Platform.

Certification Support

Certifications validate your skills and open up better career prospects. Gritty Tech provides full support for certification preparation, including:

Practice exams.

Mock interviews.

Personalized study plans.

Exam registration assistance.

Our Expert Coaches

At Gritty Tech, our coaches are industry veterans with years of hands-on experience in cloud engineering and architecture. They hold multiple GCP certifications and bring real-world insights to every session. Their expertise ensures that you not only learn concepts but also understand how to apply them effectively.

Who Should Enroll?

Our GCP coaching is ideal for:

IT professionals looking to transition to cloud roles.

Developers aiming to build scalable cloud-native applications.

Data engineers and scientists.

System administrators.

DevOps engineers.

Entrepreneurs and business owners wanting to leverage cloud solutions.

Flexible Learning Options

Gritty Tech understands that every learner has unique needs. That's why we offer flexible learning modes:

Weekday batches.

Weekend batches.

Self-paced learning with recorded sessions.

Customized corporate training.

Success Stories

Hundreds of students have transformed their careers through Gritty Tech's GCP coaching. From landing jobs at Fortune 500 companies to successfully migrating businesses to GCP, our alumni have achieved remarkable milestones.

What Makes Gritty Tech Stand Out?

Choosing Gritty Tech means choosing quality, commitment, and success. Here’s why:

100% practical-oriented coaching.

Experienced and certified trainers.

Up-to-date curriculum aligned with latest industry trends.

Personal mentorship and career guidance.

Lifetime access to course materials and updates.

Vibrant learner community for networking and support.

Real-World Use Cases in GCP

Understanding real-world applications enhances learning outcomes. Our coaching covers case studies like:

Implementing disaster recovery solutions using GCP.

Optimizing cloud costs with resource management.

Building scalable e-commerce applications.

Data-driven decision-making with Google BigQuery.

Career Opportunities After GCP Coaching

GCP expertise opens doors to several high-paying roles such as:

Cloud Solutions Architect.

Cloud Engineer.

DevOps Engineer.

Data Engineer.

Site Reliability Engineer (SRE).

Machine Learning Engineer.

Salary Expectations

With GCP certifications and skills, professionals can expect:

Entry-level roles: $90,000 - $110,000 per annum.

Mid-level roles: $110,000 - $140,000 per annum.

Senior roles: $140,000 - $180,000+ per annum.

Continuous Learning and Community Support

Technology evolves rapidly, and staying updated is crucial. At Gritty Tech, we offer continuous learning opportunities post-completion:

Free webinars and workshops.

Access to updated course modules.

Community forums and discussion groups.

Invitations to exclusive tech meetups and conferences.

Conclusion: Your Path to GCP Mastery Starts Here

The future belongs to the cloud, and Gritty Tech is here to guide you every step of the way. Our Google Cloud Platform Coaching empowers you with the knowledge, skills, and confidence to thrive in the digital world.

Join Gritty Tech today and transform your career with cutting-edge GCP expertise!

[souhaillaghchimdev]

Interactive Web Application Development

Web development is no longer about just static pages. Users now expect responsive, real-time, and engaging experiences. In this post, we’ll explore how to develop interactive web applications that provide dynamic content and respond to user input instantly.

What is an Interactive Web Application?

An interactive web app is a website that responds to user actions in real time without needing to reload the entire page. Examples include:

Live chats

Form validations

Dynamic dashboards

Online games and quizzes

Social media feeds and comment systems

Key Technologies for Interactivity

HTML & CSS: Structure and style your app.

JavaScript: The core language for interactivity.

Frontend Frameworks: React, Vue.js, or Angular for building dynamic UIs.

AJAX & Fetch API: Load data without page reloads.

WebSockets: Real-time communication (e.g., chat apps, live notifications).

Backend Technologies: Node.js, Python, Ruby, or PHP for handling logic and databases.

Databases: MySQL, MongoDB, Firebase for storing and retrieving data.

1. Plan Your Application

Start by mapping out user flows and interactions. Identify:

What actions users will take (e.g., login, click, scroll)

How the app should respond (e.g., show a modal, fetch data)

What data is needed and where it comes from

2. Build a Responsive UI

Use CSS Flexbox or Grid for layout

Make it mobile-friendly with media queries

Add transitions and animations for smoother interactions

3. Add Dynamic Behavior with JavaScript

Use JavaScript or a frontend framework to:

Handle user events like clicks, inputs, and scrolls

Update content without reloading the page

Manipulate the DOM (Document Object Model)

4. Connect to a Backend

Use APIs to send and receive data from the server:

Use fetch() or axios to make HTTP requests

Implement RESTful APIs or GraphQL

Secure endpoints and handle authentication

5. Real-Time Features

For real-time functionality, use:

WebSockets: For bi-directional communication

Firebase Realtime Database or Firestore: For instant data syncing

Pusher or Socket.io: Libraries that simplify real-time integration

6. Test and Optimize

Test responsiveness on different screen sizes

Use tools like Lighthouse or WebPageTest for performance analysis

Minify and bundle JavaScript and CSS for faster loading

7. Deploy Your App

Use services like:

Vercel or Netlify for frontend hosting

Render, Heroku, or Railway for full-stack apps

GitHub Actions for CI/CD automation

Popular Use Cases of Interactive Web Apps

Interactive data dashboards

E-commerce platforms with live product updates

Educational platforms with quizzes and code editors

Project management tools like Trello or Notion

Conclusion

Interactive web applications create engaging and efficient user experiences. With a solid understanding of JavaScript, a powerful frontend framework, and modern backend tools, you can build apps that users love to interact with. Start simple, focus on clean UX, and keep improving your skills!