#GCP PostgreSQL

[newtglobal]

Achieve Greater Agility: The Critical Need to Migrate Oracle to GCP PostgreSQL

Migrating from Oracle to GCP PostgreSQL is progressively crucial for future-proofing your database foundation. As organizations strive for greater agility and cost efficiency, GCP PostgreSQL offers a compelling open-source alternative to proprietary Oracle databases. This migration not only addresses the high licensing costs associated with Oracle but also provides superior scalability and flexibility. GCP PostgreSQL integrates seamlessly with Google Cloud’s suite of services, including advanced analytics and machine learning tools, enabling businesses to harness powerful data insights and drive innovation. The move to PostgreSQL also supports modern cloud-native applications, ensuring compatibility with evolving technologies and development practices. Additionally, GCP PostgreSQL offers enhanced performance, reliability, and security features, which are critical in an era of growing data volumes and stringent compliance requirements. Embracing this relocation positions organizations to use cutting-edge cloud advances, streamline operations, and diminish the total cost of ownership. As data management and analytics continue to be central to strategic decision-making, migrating to GCP PostgreSQL equips businesses with a robust, scalable platform to adapt to future demands and maintain a competitive edge.

Future Usage and Considerations

Scalability and Performance

Vertical and Horizontal Scaling: GCP PostgreSQL supports both vertical scaling (increasing instance size) and horizontal scaling (adding more instances).

Performance Tuning: Continuous monitoring and tuning of queries, indexing strategies, and resource allocation.

Integration with GCP Services

BigQuery: Coordinated with BigQuery for progressed analytics and data warehousing arrangements.

AI and Machine Learning: Use GCP's AI and machine learning administrations to construct predictive models and gain insights from your information.

Security and Compliance

IAM: Utilize character and get to administration for fine-grained control.

Encryption: Ensure data at rest and in transit is encrypted using GCP's encryption services.

Compliance: Follow industry-specific compliance necessities utilizing GCP's compliance frameworks and tools.

Cost Management

Cost Monitoring: Utilize GCP's cost management tools to monitor and optimize spending.

Auto-scaling: Implement auto-scaling to ensure resources are used efficiently, reducing costs.

High Availability and Disaster Recovery

Backup and Restore: Implement automated backups and regular restore testing.

Disaster Recovery: Plan and test a disaster recovery plan to guarantee business coherence.

Redefine Your Database Environment: Key Reasons to Migrate Oracle to GCP PostgreSQL Companies need to migrate from Oracle to GCP PostgreSQL to address high licensing costs and scalability limitations inherent in Oracle databases. GCP PostgreSQL offers a cost-effective, open-source alternative with seamless integration into Google Cloud’s ecosystem, providing advanced analytics and machine learning capabilities. This migration enables businesses to reduce operational expenses, enhance scalability, and leverage modern cloud services for greater innovation. Additionally, PostgreSQL's flexibility and strong community support ensure long-term sustainability and adaptability, making it a strategic choice for companies looking to future-proof their database infrastructure while optimizing performance and reducing costs. Transformative Migration: Essential Reasons to Migrate Oracle to GCP PostgreSQL Migrating from Oracle to GCP PostgreSQL is a crucial step for businesses looking to optimize their database foundation. GCP PostgreSQL seamlessly integrates with Google Cloud's ecosystem, enabling organizations to harness advanced analytics, machine learning, and other cutting-edge technologies.

As companies move to GCP PostgreSQL, they gain access to powerful tools for scalability, including vertical and horizontal scaling, which ensures that their database can grow with their needs. Integration with GCP administrations like BigQuery and AI tools improves data analysis capabilities and drives development. Moreover, GCP PostgreSQL's strong security features, including IAM and encryption, and compliance with industry standards, safeguard data integrity and privacy.

By migrating to GCP PostgreSQL, businesses not only reduce operational costs but also position themselves to leverage modern cloud capabilities effectively. This migration supports better performance, high availability, and efficient cost management through auto-scaling and monitoring tools. Embracing this change ensures that organizations remain competitive and adaptable in a rapidly evolving technological landscape.

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[govindhtech]

GCP Database Migration Service Boosts PostgreSQL migrations

GCP database migration service

GCP Database Migration Service (DMS) simplifies data migration to Google  Cloud databases for new workloads. DMS offers continuous migrations from MySQL, PostgreSQL, and SQL Server to Cloud SQL and AlloyDB for PostgreSQL. DMS migrates Oracle workloads to Cloud SQL for PostgreSQL and AlloyDB to modernise them. DMS simplifies data migration to Google Cloud databases.

This blog post will discuss ways to speed up Cloud SQL migrations for PostgreSQL / AlloyDB workloads.

Large-scale database migration challenges

The main purpose of Database Migration Service is to move databases smoothly with little downtime. With huge production workloads, migration speed is crucial to the experience. Slower migration times can affect PostgreSQL databases like:

Long time for destination to catch up with source after replication.

Long-running copy operations pause vacuum, causing source transaction wraparound.

Increased WAL Logs size leads to increased source disc use.

Boost migrations

To speed migrations, Google can fine-tune some settings to avoid aforementioned concerns. The following options apply to Cloud SQL and AlloyDB destinations. Improve migration speeds. Adjust the following settings in various categories:

DMS parallels initial load and change data capture (CDC).

Configure source and target PostgreSQL parameters.

Improve machine and network settings

Examine these in detail.

Parallel initial load and CDC with DMS

Google’s new DMS functionality uses PostgreSQL multiple subscriptions to migrate data in parallel by setting up pglogical subscriptions between the source and destination databases. This feature migrates data in parallel streams during data load and CDC.

Database Migration Service’s UI and Cloud SQL APIs default to OPTIMAL, which balances performance and source database load. You can increase migration speed by selecting MAXIMUM, which delivers the maximum dump speeds.

Based on your setting,

DMS calculates the optimal number of subscriptions (the receiving side of pglogical replication) per database based on database and instance-size information.

To balance replication set sizes among subscriptions, tables are assigned to distinct replication sets based on size.

Individual subscription connections copy data in simultaneously, resulting in CDC.

In Google’s experience, MAXIMUM mode speeds migration multifold compared to MINIMAL / OPTIMAL mode.

The MAXIMUM setting delivers the fastest speeds, but if the source is already under load, it may slow application performance. So check source resource use before choosing this option.

Configure source and target PostgreSQL parameters.

CDC and initial load can be optimised with these database options. The suggestions have a range of values, which you must test and set based on your workload.

Target instance fine-tuning

These destination database configurations can be fine-tuned.

max_wal_size: Set this in range of 20GB-50GB

The system setting max_wal_size limits WAL growth during automatic checkpoints. Higher wal size reduces checkpoint frequency, improving migration resource allocation. The default max_wal_size can create DMS load checkpoints every few seconds. Google can set max_wal_size between 20GB and 50GB depending on machine tier to avoid this. Higher values improve migration speeds, especially beginning load. AlloyDB manages checkpoints automatically, therefore this argument is not needed. After migration, modify the value to fit production workload requirements.

pglogical.synchronous_commit : Set this to off 

As the name implies, pglogical.synchronous_commit can acknowledge commits before flushing WAL records to disc. WAL flush depends on wal_writer_delay parameters. This is an asynchronous commit, which speeds up CDC DML modifications but reduces durability. Last few asynchronous commits may be lost if PostgreSQL crashes.

wal_buffers : Set 32–64 MB in 4 vCPU machines, 64–128 MB in 8–16 vCPU machines

Wal buffers show the amount of shared memory utilised for unwritten WAL data. Initial load commit frequency should be reduced. Set it to 256MB for greater vCPU objectives. Smaller wal_buffers increase commit frequency, hence increasing them helps initial load.

maintenance_work_mem: Suggested value of 1GB / size of biggest index if possible 

PostgreSQL maintenance operations like VACUUM, CREATE INDEX, and ALTER TABLE ADD FOREIGN KEY employ maintenance_work_mem. Databases execute these actions sequentially. Before CDC, DMS migrates initial load data and rebuilds destination indexes and constraints. Maintenance_work_mem optimises memory for constraint construction. Increase this value beyond 64 MB. Past studies with 1 GB yielded good results. If possible, this setting should be close to the destination’s greatest index to replicate. After migration, reset this parameter to the default value to avoid affecting application query processing.

max_parallel_maintenance_workers: Proportional to CPU count

Following data migration, DMS uses pg_restore to recreate secondary indexes on the destination. DMS chooses the best parallel configuration for –jobs depending on target machine configuration. Set max_parallel_maintenance_workers on the destination for parallel index creation to speed up CREATE INDEX calls. The default option is 2, although the destination instance’s CPU count and memory can increase it. After migration, reset this parameter to the default value to avoid affecting application query processing.

max_parallel_workers: Set proportional max_worker_processes

The max_parallel_workers flag increases the system’s parallel worker limit. The default value is 8. Setting this above max_worker_processes has no effect because parallel workers are taken from that pool. Maximum parallel workers should be equal to or more than maximum parallel maintenance workers.

autovacuum: Off

Turn off autovacuum in the destination until replication lag is low if there is a lot of data to catch up on during the CDC phase. To speed up a one-time manual hoover before promoting an instance, specify max_parallel_maintenance_workers=4 (set it to the  Cloud SQL instance’s vCPUs) and maintenance_work_mem=10GB or greater. Note that manual hoover uses maintenance_work_mem. Turn on autovacuum after migration.

Source instance configurations for fine tuning

Finally, for source instance fine tuning, consider these configurations:

Shared_buffers: Set to 60% of RAM 

The database server allocates shared memory buffers using the shared_buffers argument. Increase shared_buffers to 60% of the source PostgreSQL database‘s RAM to improve initial load performance and buffer SELECTs.

Adjust machine and network settings

Another factor in faster migrations is machine or network configuration. Larger destination and source configurations (RAM, CPU, Disc IO) speed migrations.

Here are some methods:

Consider a large machine tier for the destination instance when migrating with DMS. Before promoting the instance, degrade the machine to a lower tier after migration. This requires a machine restart. Since this is done before promoting the instance, source downtime is usually unaffected.

Network bandwidth is limited by vCPUs. The network egress cap on write throughput for each VM depends on its type. VM network egress throughput limits disc throughput to 0.48MBps per GB. Disc IOPS is 30/GB. Choose Cloud SQL instances with more vCPUs. Increase disc space for throughput and IOPS.

Google’s experiments show that private IP migrations are 20% faster than public IP migrations.

Size initial storage based on the migration workload’s throughput and IOPS, not just the source database size.

The number of vCPUs in the target Cloud SQL instance determines Index Rebuild parallel threads. (DMS creates secondary indexes and constraints after initial load but before CDC.)

Last ideas and limitations

DMS may not improve speed if the source has a huge table that holds most of the data in the database being migrated. The current parallelism is table-level due to pglogical constraints. Future updates will solve the inability to parallelise table data.

Do not activate automated backups during migration. DDLs on the source are not supported for replication, therefore avoid them.

Fine-tuning source and destination instance configurations, using optimal machine and network configurations, and monitoring workflow steps optimise DMS migrations. Faster DMS migrations are possible by following best practices and addressing potential issues.

Read more on govindhtech.com

[ashratechnologiespvtltd]

Greetings from Ashra Technologies

we are hiring.....

[pcrtisuyog]

Why Companies Are Prioritizing Full-Stack Web Developers in 2025

In 2025, the demand for Full-Stack Web Developers is not just rising—it’s booming. Whether you’re browsing job boards, talking to recruiters, or reading tech industry reports, one thing is clear: companies of all sizes and across industries are actively seeking Full-Stack Web Developers more than ever before. But what’s driving this trend? Why are these professionals becoming the backbone of digital teams?

Let’s break it down in a way that’s both insightful and human.

What Exactly Is a Full-Stack Web Developer?

A Full-Stack Web Developer is someone who can build both the front end (what users see) and the back end (the server, database, and application logic) of a website or web application. In other words, they’re the Swiss Army knives of the development world—equipped to handle multiple layers of a tech project from start to finish.

They can:                                                           

Design responsive interfaces using HTML, CSS, and JavaScript.

Build server-side logic with languages like Node.js, Python, Ruby, or PHP.

Manage databases like MongoDB, MySQL, or PostgreSQL.

Work with frameworks like React, Angular, and Express.js.

Collaborate with DevOps for deployment and testing.

Why the Sudden Surge in 2025?

The world is moving fast. Companies are no longer just tech companies—every company is becoming a tech company in some form. From healthcare to finance, education to retail, digital transformation is the name of the game. And this is exactly where Full-Stack Web Developers come in.

Here’s why companies are prioritizing Full-Stack Web Developers in 2025:

1. Agility in a Fast-Moving Market

In 2025, speed is everything. Whether it's launching a new product, updating an existing feature, or pivoting based on customer feedback, businesses need to move quickly.

Full-Stack Web Developers can handle multiple components of a project, reducing the need for separate front-end and back-end teams.

This means faster development cycles, fewer communication gaps, and quicker releases.

2. Cost-Effective Talent Investment

Hiring separate specialists for the front end, back end, database, and DevOps can be expensive—especially for startups and small businesses.

A skilled Full-Stack Web Developer can reduce hiring costs while still delivering comprehensive solutions.

With remote work being the norm in 2025, companies are choosing versatile developers who can wear multiple hats.

3. Greater Collaboration and Communication

Modern software development is all about teamwork. A Full-Stack Web Developer understands how the entire system fits together, making them excellent communicators between designers, product managers, and engineers.

They act as bridges across technical and non-technical teams.

Their holistic view of a project enables better decision-making.

4. Cloud-Native Development and Microservices

With cloud computing, containerization, and microservices shaping the tech landscape in 2025, developers who understand end-to-end application architecture are invaluable.

Full-Stack Web Developers are equipped to work with cloud platforms like AWS, Azure, and GCP.

They’re more than coders—they're system architects who understand scalability and performance.

5. AI and Automation Integration

Today’s applications aren’t just about static content—they’re intelligent. More businesses are integrating AI-powered features, real-time analytics, and automation into their platforms.

A Full-Stack Web Developer is familiar with APIs, machine learning libraries, and real-time communication tools like WebSockets.

Their diverse skill set is critical to building smarter, more connected web applications.

6. A Career Path That Evolves with Tech

Companies are not just hiring Full-Stack Web Developers for what they can do now, but for how adaptable they are to future tech.

They’re curious, lifelong learners.

Their broad foundation allows them to quickly pick up new frameworks, languages, or paradigms.

Real Stories from the Industry

Take the example of a mid-size retail brand that pivoted to e-commerce in 2023. By 2025, they needed someone who could maintain the website, optimize performance, implement new payment features, and ensure mobile responsiveness. Instead of hiring multiple roles, they onboarded a senior Full-Stack Web Developer, who delivered results across the board and streamlined collaboration across departments.

Or consider a SaaS startup in the healthtech space. With limited funding but big ambitions, their decision to hire Full-Stack Web Developers early on allowed them to scale from MVP to enterprise-level in under two years.

Final Thoughts

As technology continues to evolve, businesses need flexible, tech-savvy professionals who can keep up with the pace of change. The Full-Stack Web Developer is no longer a “nice-to-have”—they’re mission-critical. Whether it’s about speed, scalability, cost-efficiency, or innovation, these developers are answering the call in 2025.

If you're a budding developer or someone considering a career switch, now is the perfect time to invest in becoming a Full-Stack Web Developer. And if you're a business looking to stay ahead—this is the talent you want on your team.

[associative-2001]

Front and Back End Developers in Pune

Looking for expert front and back end developer in Pune? Associative offers full-stack development services with mobile apps, websites, e-commerce, and custom software solutions.

Top Front and Back End Developers in Pune – Why Associative is Your Best Choice

In today's fast-paced digital world, finding a skilled front and back end developer in Pune is crucial for businesses aiming to build high-performance, scalable, and user-friendly applications. At Associative, we specialize in full-stack development that bridges innovation, functionality, and aesthetic design.

What Does a Front and Back End Developer Do?

A front end developer focuses on the visual and interactive aspects of a website or app — everything users see and interact with. This includes layout, navigation, responsiveness, and overall user experience. In contrast, a back end developer manages the server-side logic, databases, and application integration — ensuring that everything works smoothly behind the scenes.

Together, they create robust, seamless digital products — and at Associative, we bring both ends together with mastery and precision.

Why Choose Associative for Front and Back End Development in Pune?

Associative, a leading software company in Pune, offers comprehensive development services tailored to your business needs. Our full-stack developers are proficient in the latest technologies and frameworks, ensuring top-notch digital solutions.

Our Full-Stack Development Expertise Includes:

Mobile App Development – Android & iOS apps using Kotlin, Swift, Flutter, React Native, and SwiftUI.

Website & E-Commerce Development – Responsive websites and powerful e-commerce solutions with platforms like Shopify, WooCommerce, Magento, and BigCommerce.

Frontend Technologies – HTML5, CSS3, JavaScript, React.js, Vue.js, and Electron for modern UI/UX.

Backend Technologies – PHP, Node.js, Laravel, Express.js, Java with Spring Boot, and more.

Database Management – MySQL, PostgreSQL, Oracle, and scalable database design.

CMS & LMS Development – WordPress, Joomla, Moodle, OpenCart, Drupal, PrestaShop for tailored content management.

Web3 and Blockchain – Solidity and smart contract development for decentralized applications.

Game & Software Development – Using Unreal Engine, C++, and modern development stacks.

Cloud Computing – AWS and GCP-based deployment, scaling, and server maintenance.

SEO & Digital Marketing – Ensuring your products get the visibility they deserve online.

Pune’s Trusted Partner for End-to-End Software Solutions

Being based in Pune, we understand the local market and global expectations. Our front and back end developers work closely with clients to deliver digital solutions that are not only technically sound but also user-centric and ROI-driven.

From startups to enterprises, Associative is the go-to software company in Pune for full-stack development.

Let’s Build Something Great Together

If you’re searching for the best front and back end developer in Pune, look no further. Connect with Associative and turn your digital vision into a scalable, high-performing product.

Contact us today to discuss your project!

[stomhardy]

Top Tech Stacks for Centralized Crypto Exchange Development in 2025

Introduction

Introduction This grain of truth feeds on the greatest economic system revolution-the fast-changing crypto market ringed-in by centralized crypto exchanges (CEXs) immediately. Building a robust, secure, scalable centralized exchange in 2025 will definitely call for the right technology stack, with sharp competition and rising user expectations. Thus, the choice of right tools and frameworks is clear-it is not just for smooth performance and user experience but also for compliance, security, and future scalability. This blog shares into the top technology stacks meant for building a centralized crypto exchange with considerations towards the core components and future trends.

Core Components of a Centralized Exchange

At the heart of every centralized crypto exchange are several critical components. Each of these components must work together to deliver a better experience for traders while ensuring safety, efficiency, and compliance with the law. The selection of technology is important for to create centralized crypto exchanges. The components are:

Frontend Technologies

Backend Technologies

Database and Storage Solutions

Security Tech stack

Infrastructure and Deployment

Analytics and Monitoring Tools

Top Tech Stacks for Centralized Crypto Exchange in 2025

Frontend Technologies

Choosing a suitable technology stack is significant to each one of these components. For frontend technologies, the usual names in 2025 include React and Angular in combination with Vue.js. Such JavaScript frameworks can support the creation of dynamic as well as responsive user interfaces, offering features such as component-based architecture and efficient state management. For example, the virtual DOM of React can ameliorate the performance, whereas total framework of Angular provides a well-structured aspect to applications on a large scale. One thing that makes Vue.js very popular is the fact that it is progressive and easy to integrate.

Backend Technologies

Both the backend stacks provide the mainstay of the exchange. They will favor the performance and scalability of the enormous libraries that Go, Java, and Python have. Concurrency is one of the key strengths of Go that makes it feasible, as it allows for building engines that sign high-performance trading. It is safe to say that Java's robustness and a mature ecosystem can be described as suitable for organizing a complex financial system. However, the freedom and richness of frameworks in the middle of Django and Flask make it possible for rapid development using Python. The kinds of real time communications between front and back end that are possible use WebSockets. 

Database and Storage Solutions

Such database and storage solutions should be able to support great deal of transactional data and therefore must be very sound and scalable. They can either be PostgreSQL or MySQL for relational databases, which are ACID compliant and data-consistent. In-memory databases like Redis and Memcached are made to cache hot data and improve the performance significantly.

Security Tech Stack

Security doesn't exist to dispute anymore about cryptocurrency exchange systems-the security tech stack has layers beyond layers of protection. The encryption is essential for private and secured communications. Hardware Security Modules (HSMs) secure private keys through key storage. Poly signature schemes raise yet another level of permission to use transactions. Regular security audits and penetration tests to determine vulnerabilities and remediate them are also important. There should also be technologies of scam detection  in order to secure both the platform and the users.

Infrastructure and Deployment

Centralization forms the base of all infrastructure and deployment of a cryptocurrency exchange. Cloud infrastructure such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure create a very good foundation with on-demand computing resources, storage solutions, and networking capabilities that will exactly measure with the increase of the exchange. One feature taking advantage of load balancing sends traffic to multiple servers and can avoid a single point of failure and be responsive during heavy trading times.

Analytics and Monitoring Tools

Analysis and monitoring software constitute the most vital tool for effective operation and continual optimization of a centralized cryptocurrency exchange. Real-time monitoring tools, worth mentioning, would be Prometheus and Grafana, as they provide vital insights on different performance metrics within the exchange, such as server resource use (CPU, memory, network), application response time, and response times from APIs. This way, one could detect anomalies and potential problematic areas in real-time to address them quickly, ensuring system stability while increasing user satisfaction. 

Factors to Consider When Choosing The Tech Stack

This has caused a centralized crypto exchange to be built using technology stack selections. This technology stack is strategic in determining the performance, efficiency, and long term viability of the platform. However, one of the first considerations is the project's scope and complexity; that is, a large exchange with facilities such as margin trading, advanced charting tools, or high frequency trading support requires a more measurable architecture. Other issues are related to the number of transactions and concurrency requirements since the system would have to be capable of processing thousands of transactions per second with very low latencies and high uptime. Security is high up the list as well; with exchanges consistently becoming prime targets for cyberattacks in the crypto space, the stack should ideally come with built-in security best practices, encryption support, and integration with identity verification and threat detection tools.

Future Ready Tech Trends

Artificial Intelligence and Machine Learning will be more integrated in spam detection and trade prediction. They are also infusing the development of Web3 compatibility, zero-trust security models, and quantum-resistant encryption. It's also being worked on around modular blockchain integrations, multi-chain support, and decentralized identity (DID) solutions, which are the contours of centralization and decentralization in finance ecosystems.  Developments in blockchain interoperability make seamless trading of assets possible across different blockchains. AI and ML technologies are useful for minimizing fraud risks and providing tailored user experience initiatives.

Conclusion

A technology stack can make or break a centralized cryptocurrency exchange. Speed, security, and scalability will be more crucial than ever as we welcome the year 2025. Developers must stay ahead by adopting cutting-edge tools and frameworks that are in sync with their business needs and market trends as these evolve. The best technology stacks have built a strong foundation that allows exchanges to be trusted by their users and to scale according to best practice in delivering mission-critical services in a dynamic digital assets world. Developers can create robust, secure, and scalable platforms that will respond to the changing needs of the cryptocurrency market by carefully weighing the components and keeping an eye to futurist thought as they evaluate different technology stacks.

[souhaillaghchimdev]

Inventory Management System Development

Inventory management is essential for businesses that deal with physical goods. An efficient inventory system helps track stock levels, manage orders, reduce waste, and improve overall operational efficiency. In this blog post, we’ll explore the key components and programming approach for building an Inventory Management System (IMS).

Core Features of an Inventory Management System

Product Catalog: Add, edit, delete, and categorize products.

Stock Tracking: Monitor stock levels in real-time.

Purchase & Sales Records: Track incoming and outgoing items.

Supplier & Customer Management: Manage business relationships.

Reports & Analytics: Generate sales, inventory, and purchase reports.

Alerts: Notify when stock is low or out of stock.

Tech Stack Suggestions

Frontend: React.js, Vue.js, or Angular

Backend: Node.js, Django, Laravel, or Spring Boot

Database: MySQL, PostgreSQL, or MongoDB

Authentication: JWT, OAuth, or Firebase Auth

Deployment: Docker + AWS/GCP/Heroku

Basic Database Structure

Products Table: - product_id (PK) - name - category - quantity - price - supplier_id (FK) Suppliers Table: - supplier_id (PK) - name - contact_info Sales Table: - sale_id (PK) - product_id (FK) - quantity_sold - date Purchases Table: - purchase_id (PK) - product_id (FK) - quantity_purchased - date

Sample API Endpoints (Node.js Example)

GET /products – List all products

POST /products – Add a new product

PUT /products/:id – Update product details

DELETE /products/:id – Remove a product

GET /inventory/report – Generate inventory report

Frontend Functionality Tips

Use modals for adding/editing items

Display stock levels using color indicators (e.g., red for low stock)

Enable filtering/searching by product category or supplier

Use charts for visual stock and sales analytics

Bonus Features to Consider

Barcode Scanning: Integrate barcode scanning for quick item lookup

Role-Based Access: Allow different permissions for admin, staff, and viewer

Mobile Access: Build a mobile-responsive UI or companion app

Data Export: Export inventory reports to Excel/PDF

Conclusion

Building an inventory management system can significantly benefit any business that handles products or stock. By designing a system with clean UI, efficient backend logic, and accurate data handling, you can help companies stay organized and save time. Start simple, scale gradually, and always prioritize usability and security in your system design.

[cloudastra795]

Technical Aspects of MVP Development

In today's digital landscape, bringing an idea to market quickly and efficiently is hard yet important for success. This is where Minimum Viable Product (MVP) development plays an important role. MVP development allows businesses to test their ideas with minimal resources, collect user feedback, and iterate before investing heavily in full-scale development. Companies like CloudAstra MVP Development services specialize in building robust and scalable MVPs that set the foundation for successful products. In this blog, we’ll explore the technical aspects of MVP development and how CloudAstra’s expertise can help businesses achieve their goals efficiently.

Understanding the Technical Foundation of MVP Development

MVP development isn’t just about creating a simple version of your product; it involves careful planning and execution to ensure scalability and efficiency. Here are some key technical aspects that are essential for a successful MVP:

1. Choosing the Right Technology Stack

Selecting the right technology stack is a hard decision in MVP development. The technology stack should be scalable, cost-effective, and aligned with the product's needs.MVP Development services emphasize using modern technologies such as:

Frontend: React, Angular, or Vue.js for a seamless user experience.

Backend: Node.js, Python (Django/Flask), or Ruby on Rails for a fast and efficient server-side application.

Database: PostgreSQL, MongoDB, or Firebase depending on the data storage needs.

Cloud Services: AWS, Google Cloud, or Azure for robust hosting and deployment solutions.

2. Agile Development Methodology

Agile methodology plays a vital role in MVP development. It allows for fast iterations based on user feedback, ensuring continuous improvement. CloudAstra MVP Development services follow agile principles to ensure flexibility, quicker time-to-market, and improved adaptability to changes.

3. Building a Scalable Architecture

Even though an MVP is a basic version of the final product, it should be built with scalability in mind. Some key architectural considerations include:

Microservices vs. Monolithic Architecture: CloudAstra often recommends microservices for MVPs that need scalability and flexibility.

API-first Approach: Using RESTful APIs or GraphQL ensures seamless integration with third-party tools and future expansions.

Containerization: Technologies like Docker and Kubernetes help in smooth deployments and scaling of applications.

4. Rapid Prototyping and UI/UX Design

User experience plays a crucial role in MVP success. CloudAstra MVP Development services prioritize rapid prototyping using tools like Figma or Adobe XD to create user-friendly interfaces. A well-designed MVP should be intuitive, responsive, and engaging to attract early adopters.

5. Testing and Quality Assurance

A functional MVP must be tested thoroughly before launch. Some important testing processes include:

Automated Testing: Ensuring code quality through unit and integration testing.

Usability Testing: Gathering feedback from early users to improve the product.

Load Testing: Making sure the application performs well under high traffic. CloudAstra uses advanced testing tools to ensure that the MVP meets high-performance and reliability standards.

6. Cloud Deployment and Security Measures

Cloud-based deployment ensures cost-efficiency and scalability. CloudAstra MVP Development services leverage:

CI/CD Pipelines: Continuous integration and deployment for smooth updates.

Data Security: Implementing SSL encryption, secure authentication (OAuth, JWT), and data protection measures.

Cloud Hosting: Using AWS, GCP, or Azure for high availability and performance.

Why Choose CloudAstra MVP Development Services?

CloudAstra stands out as a reliable partner for MVP development due to its technical expertise and industry experience. Here’s why businesses prefer CloudAstra:

Experienced Developers: A team skilled in cutting-edge technologies.

End-to-End Development: From ideation to deployment and maintenance.

Agile and Scalable Solutions: Ensuring products evolve based on market demands.

Cost-Effective Approach: Delivering high-quality MVPs within budget constraints.

Final Thoughts

MVP development is a crucial step in transforming an idea into a successful product. Focusing on the right technical aspects—such as technology selection, scalable architecture, agile development, and security—can make all the difference. CloudAstra MVP Development services provide expert solutions that help businesses launch their MVPs quickly, efficiently, and with the best possible user experience. Whether you're a startup or an established company, partnering with CloudAstra ensures a solid foundation for your product’s success.

If you're looking to develop an MVP , CloudAstra MVP Development services are your go-to experts. Get started today and bring your vision to life with confidence! Visit Here : https://cloudastra.co/mvp

[kyber-vietnam]

Kyber Network is hiring a Site reliability engineering in Hanoi or HCMC!

*** ABOUT KYBER NETWORK

Kyber Network (https://kyber.network) is an industry-leading blockchain company, providing cryptocurrency liquidity for the largest companies in the DeFi (decentralized finance). The company raised US$52M in its token sale in 2017, making it one of the largest cryptocurrency-based fundraising in history.

Two co-founders, Dr. Luu The Loi (Chairman) and Victor Tran Huy Vu (CEO), were honored in Asia’s Forbes 30 under 30 in the ‘Finance - Investment’ category by Forbes magazine in 2017 and have since established the company as a market leader. Dr. Luu The Loi also has a PhD in blockchain security technology, and is one of the 10 most prominent Innovators under 35 in the Technology field in the Asia Pacific region (Innovators Under 35 Asia Pacific) published by the MIT Technology Review.

Kyber has developed a family of products including:

KyberSwap: KyberSwap.com - Trade & Earn at the Best Rates in DeFi with our leading Decentralized Exchange (DEX) Aggregator that does >US$1B in monthly trading volume

KyberDAO: Be part of the community governing Kyber Network to shape the future of DeFi and earn $KNC tokens

And many more stealth developments and ventures that the company has taken stake in.

Kyber Network has offices in Singapore, Hanoi, and Ho Chi Minh City:

Singapore office: 1 Upper Circular Road, #05-01 Singapore 058400

Hanoi office: 7th floor Web3 Tower, 15 Lane 4 Duy Tan Str., Cau Giay Dist., Hanoi, Vietnam

Ho Chi Minh city office: 4th floor, 113 Tran Quoc Toan, Vo Thi Sau Ward, District 3, Ho Chi Minh City, Vietnam

Join our team of brilliant and committed professionals pursuing the goal of creating a “Decentralized Economy for Everyone” based on blockchain technology.

Are you ready to take up the challenge of creating world-changing innovations in the next decade? Apply now.

*** JOB DESCRIPTION

Responsibility

Build and automate tools and platforms to eliminate manual work, enhance system operations, and improve the developer experience.

Own and operate the current Kubernetes infrastructure, ensuring its reliability, scalability, and security.

Collaborate with engineering teams to troubleshoot and optimize infrastructure, resolving performance and availability issues.

Conduct R&D on infrastructure solutions to enable business growth and product development.

Implement and manage observability solutions using open-source tools to enhance monitoring, logging, and alerting.

Ensure infrastructure best practices in GCP (Google Cloud Platform), optimizing cost, security, and performance.

Requirements

Must have

Strong programming skills in Golang and proficiency in scripting languages (e.g., Bash, Python).

Experience managing stateful applications (e.g., PostgreSQL, Redis) in a cloud-native environment, including backup strategies, performance tuning, and high availability configurations.

Deep understanding of major DevOps tools (e.g., Terraform, Helm, ArgoCD, GitOps workflows).

Hands-on experience with open-source observability platforms (e.g., Prometheus, Grafana, OpenTelemetry, Loki).

Proficiency in Kubernetes (GKE) and containerized environments.

Familiarity with Google Cloud Platform (GCP) services and networking.

Nice to have

Experience with the Ethereum ecosystem.

Experience with running blockchain nodes.

*** WHAT WE CAN OFFER

Vietnam - based benefits here

*** HOW TO APPLY

Please send your resume to hr@kyber.network with email subject “Your full name_Job title_kyber.vn”

Or talk to our Recruiters on Telegram/Skype: @anhpt_32

*** CONNECT WITH US

Discord: https://discord.com/invite/NB3vc8J9uv

Twitter EN: https://twitter.com/kybernetwork

Twitter KyberDAO: https://twitter.com/KyberDAO

Twitter Turkish: https://twitter.com/kyberturkish

Twitter Japanese: https://twitter.com/kybernetwork_jp

Forum: https://gov.kyber.org/

Reddit: https://www.reddit.com/r/kybernetwork/

Facebook EN: https://www.facebook.com/kyberswap

Facebook Careers: https://www.facebook.com/KyberCareers

Youtube: https://www.youtube.com/channel/UCQ-8mEqsKM3x9dTT6rrqgJw

Only shortlisted candidates will be contacted.

For other job opportunities at Kyber Group, click here https://kyber.vn/.

[newtglobal]

Newt Global’s Expertise in Oracle to GCP PostgreSQL Migration

Understanding the Need for Migration

Businesses often face challenges with high licensing costs and limited scalability when using Oracle databases. GCP PostgreSQL provides an open-source alternative that is cost-effective and scalable. It also integrates seamlessly with GCP's suite of services, enabling enhanced analytics and machine learning capabilities.

Essential Tools to Migrate Oracle to GCP PostgreSQL: Streamlining Data Transfer and Schema Conversion Several tools facilitate the migration process from Oracle to GCP PostgreSQL. These tools streamline data transfer, and schema conversion, and ensure minimal downtime.

Google Database Migration Service (DMS)

Functionality: DMS provides a managed service for migrating databases to GCP with minimal downtime.

Advantages: Automated taking care of the migration process, high availability, and persistent information replication.

Ora2Pg

Functionality: An open-source tool that converts Oracle schemas to PostgreSQL-compatible schemas.

Advantages: Comprehensive pattern change, support for PL/SQL to PL/pgSQL transformation, and data migration capabilities.

Schema Conversion Tool (SCT)

Functionality: A tool by AWS that can also be used for schema conversion to PostgreSQL.

Advantages: Detailed analysis and conversion of database schema, stored procedures, and functions.

Google Cloud SQL

Functionality: Managed database service that supports PostgreSQL.

Advantages: Simplifies database administration assignments, gives automatic backups and ensures high accessibility.

How Newt Global Facilitates Migration

Newt Global, a leading cloud transformation company, specializes in database migration services. Their expertise in Oracle to GCP PostgreSQL migration ensures a smooth transition with minimal disruption to business operations. Here’s how Newt Global can assist:

Expert Assessment and Planning

Customized Assessment: Newt Global conducts a thorough assessment of your Oracle databases, identifying dependencies and potential challenges.

Tailored Planning: They develop a detailed migration plan tailored to your business needs, ensuring a seamless transition.

Efficient Schema Conversion

Advanced Tools: Utilizing tools like Ora2Pg and custom scripts, Newt Global ensures accurate schema conversion.

Manual Optimization: Their experts manually fine-tune complex objects and stored procedures, ensuring optimal performance in PostgreSQL.

Data Migration with Minimal Downtime

Robust Data Transfer: Using Google DMS, Newt Global ensures secure and efficient data transfer from Oracle to PostgreSQL.

Continuous Replication: They set up continuous data replication to ensure the latest data is always available during the migration process.

Comprehensive Testing and Validation

Data Integrity Verification: Newt Global performs extensive data integrity checks to ensure data consistency.

Application and Performance Testing: They conduct thorough application and performance testing, ensuring your systems function correctly post-migration.

Post-Migration Optimization and Support

Performance Tuning: Newt Global gives progressing execution tuning and optimization administrations.

24/7 Support: Their support team is available around the clock to address any issues and ensure smooth operations.

Migration Process

Assessment and Planning

Inventory Assessment: Identify the Oracle databases and their dependencies.

Compatibility Check: Evaluate the compatibility of Oracle features with PostgreSQL.

Planning: Develop a point-by-point migration plan including counting timelines, asset allotment, and risk mitigation procedures.

Schema Conversion

Using Ora2Pg: Convert Oracle schema objects (tables, indexes, triggers) to PostgreSQL.

Manual Adjustments: Review and manually adjust any complex objects or stored procedures that require fine-tuning.

Data Migration

Initial Data Load: Use tools like DMS to perform the initial data load from Oracle to PostgreSQL.

Continuous Data Replication: Set up continuous replication to ensure that changes in the Oracle database are mirrored in PostgreSQL until the cutover.

Testing and Validation

Data Integrity: Validate data integrity by comparing data between Oracle and PostgreSQL.

Application Testing: Ensure that applications interacting with the database function correctly.

Performance Testing: Conduct performance testing to ensure that the PostgreSQL database meets the required performance benchmarks.

Cutover and Optimization

Final Synchronization: Perform a final synchronization of data before the cutover.

Switch Over: Redirect applications to the new PostgreSQL database.

Optimization: Optimize the PostgreSQL database for performance, including indexing and query tuning.

Expertly Migrate Oracle to GCP PostgreSQL: Newt Global's Comprehensive Services

Migrating from Oracle to GCP PostgreSQL can unlock significant cost savings, scalability, and advanced analytics capabilities for your organization. Leveraging tools like Google DMS, Ora2Pg, and Cloud SQL, along with a structured migration process, ensures a seamless transition. The future of your database infrastructure on GCP PostgreSQL promises enhanced performance, integration with cutting-edge GCP services, and robust security and compliance measures.

Newt Global's expertise in database migration further ensures that your transition is smooth and efficient. Their tailored assessment and planning, advanced schema conversion, and comprehensive testing and validation processes help mitigate risks and minimize downtime. Post-migration, Newt Global offers performance tuning, ongoing support, and optimization services to ensure your PostgreSQL environment operates at peak efficiency.

By partnering with Newt Global, you gain access to a team of experts dedicated to making your migration journey as seamless as possible. This empowers you to focus on leveraging the modern capabilities of GCP PostgreSQL to drive business insights and development. Embrace the future of cloud-based database solutions with confidence, knowing that Newt Global is there to support every step of your migration journey. Thanks For Reading

For More Information, Visit Our Website: https://newtglobal.com/

[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  

[jeremy-ken-anderson]

Sidequests

I'd like to get my phone's music folder fixed. Right now it has a lot of Christmas music - Well, I say "right now" but it has for years.

I'd also like to get caught up with OCRemix. The trouble is that I don't know which song I stopped on before. Part of me just wants to go from current and go both forward and backward and have the "go backward" part include an extra step where I check whether the song is already in my playlist. Seems reasonable.

We're also up to Fudgemas. I have supplies for six batches, and I'm thinking to skip the "plain" considering how little extra work it takes to get a lil something extra in there. Probably peanut butter x2, walnut x2, spicy pecan (cinnamon and cayenne), and peppermint. We're far enough from major holidays to make the postal trip easy but it's still cool enough that I won't be so worried about my gifts melting on the way to my friends and family.

Oh right! I was also going to start documenting alphabet soup / mad lib job qualification boosters and figure out which of them can be learned quickly. A few to get started, from today's job hunt:

PostgreSQL

React.js

Next.js

Django

Flask

Vue

Angular

MongoDB

Firebase

GraphQL

RESTful APIs

Docker

Kubernetes

Selenium

Cypress

AWS

GCP

Azure

[associative-2001]

E-commerce Web Design Company

Looking for a top e-commerce web design company in Pune? Associative delivers powerful, user-friendly, and custom e-commerce websites tailored for growth and sales.

E-commerce Web Design Company in Pune – Associative

In the digital era, a well-designed e-commerce website is not just a luxury—it's a necessity. At Associative, a leading e-commerce web design company in Pune, we specialize in building powerful, scalable, and conversion-focused online stores that help brands sell more and grow faster.

Why Choose Associative for Your E-commerce Website?

At Associative, we don’t just build websites—we create seamless digital shopping experiences. With expertise across the latest platforms and technologies, our team crafts custom e-commerce solutions that reflect your brand, engage your audience, and drive results.

Our E-commerce Development Services Include:

Custom E-commerce Website Design Unique UI/UX design tailored to your brand and customer behavior.

Multi-platform Development We specialize in Magento, Shopify, WooCommerce, OpenCart, PrestaShop, BigCommerce, and more.

Mobile-Optimized Design Responsive websites that work flawlessly on Android, iOS, and all screen sizes.

Advanced Shopping Features Product filters, cart management, one-click checkout, wishlists, and secure payment gateway integration.

SEO & Digital Marketing Integration Built-in SEO features and marketing tools to help your store get found and convert.

Scalable Backend Development Powered by Laravel, Node.js, PHP, React, and more for fast performance and scalability.

Third-Party API & ERP Integration Seamless integrations with CRMs, inventory systems, and shipping platforms.

Technologies We Excel In

Our diverse development stack allows us to build robust, custom solutions:

Frontend & Backend: React.js, Node.js, Laravel, PHP, Swift, Kotlin, Flutter

CMS & Platforms: Shopify, Magento, WordPress, Joomla, Drupal, Moodle

Cloud & Hosting: AWS, Google Cloud Platform (GCP)

Database: MySQL, PostgreSQL

Emerging Tech: Web3 Blockchain, Unreal Engine, Electron

Boost Your Online Sales with Associative

Whether you're launching a new e-commerce store or revamping an existing one, Associative brings the creativity, technical expertise, and strategic insight to elevate your digital presence.

Let us help you transform your business with a website that’s fast, functional, and future-ready.

[krupa192]

Is SQL Necessary for Cloud Computing?

As cloud computing continues to reshape the tech industry, many professionals and newcomers are curious about the specific skills they need to thrive in this field. A frequent question that arises is: "Is SQL necessary for cloud computing?" The answer largely depends on the role you’re pursuing, but SQL remains a highly valuable skill that can greatly enhance your effectiveness in many cloud-related tasks. Let’s dive deeper to understand the connection between SQL and cloud computing.

What Exactly is SQL?

SQL, or Structured Query Language, is a programming language designed for managing and interacting with relational databases. It enables users to:

Query data: Extract specific information from a database.

Update records: Modify existing data.

Insert data: Add new entries into a database.

Delete data: Remove unnecessary or outdated records.

SQL is widely adopted across industries, forming the foundation of countless applications that rely on data storage and retrieval.

A Quick Overview of Cloud Computing

Cloud computing refers to the on-demand delivery of computing resources—including servers, storage, databases, networking, software, and analytics—over the internet. It offers flexibility, scalability, and cost savings, making it an essential part of modern IT infrastructures.

Leading cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) provide robust database services that often rely on SQL. With data being central to cloud computing, understanding SQL can be a significant advantage.

Why SQL Matters in Cloud Computing

SQL plays a crucial role in several key areas of cloud computing, including:

1. Database Management

Many cloud providers offer managed database services, such as:

Amazon RDS (Relational Database Service)

Azure SQL Database

Google Cloud SQL

These services are built on relational database systems like MySQL, PostgreSQL, and SQL Server, all of which use SQL as their primary query language. Professionals working with these databases need SQL skills to:

Design and manage database structures.

Migrate data between systems.

Optimize database queries for performance.

2. Data Analytics and Big Data

Cloud computing often supports large-scale data analytics, and SQL is indispensable in this domain. Tools like Google BigQuery, Amazon Redshift, and Azure Synapse Analytics leverage SQL for querying and analyzing vast datasets. SQL simplifies data manipulation, making it easier to uncover insights and trends.

3. Cloud Application Development

Cloud-based applications often depend on databases for data storage and retrieval. Developers working on these applications use SQL to:

Interact with back-end databases.

Design efficient data models.

Ensure seamless data handling within applications.

4. Serverless Computing

Serverless platforms, such as AWS Lambda and Azure Functions, frequently integrate with databases. SQL is often used to query and manage these databases, enabling smooth serverless workflows.

5. DevOps and Automation

In DevOps workflows, SQL is used for tasks like database configuration management, automating deployments, and monitoring database performance. For instance, tools like Terraform and Ansible can integrate with SQL databases to streamline cloud resource management.

When SQL Might Not Be Essential

While SQL is incredibly useful, it’s not always a strict requirement for every cloud computing role. For example:

NoSQL Databases: Many cloud platforms support NoSQL databases, such as MongoDB, DynamoDB, and Cassandra, which do not use SQL.

Networking and Security Roles: Professionals focusing on areas like cloud networking or security may not use SQL extensively.

Low-code/No-code Tools: Platforms like AWS Honeycode and Google AppSheet enable users to build applications without writing SQL queries.

Even in these cases, having a basic understanding of SQL can provide added flexibility and open up more opportunities.

Advantages of Learning SQL for Cloud Computing

1. Broad Applicability

SQL is a universal language used across various relational database systems. Learning SQL equips you to work with a wide range of databases, whether on-premises or in the cloud.

2. Enhanced Career Prospects

SQL is consistently ranked among the most in-demand skills in the tech industry. Cloud computing professionals with SQL expertise are often preferred for roles involving data management and analysis.

3. Improved Problem-Solving

SQL enables you to query and analyze data effectively, which is crucial for troubleshooting and decision-making in cloud environments.

4. Stronger Collaboration

Having SQL knowledge allows you to work more effectively with data analysts, developers, and other team members who rely on databases.

How the Boston Institute of Analytics Can Help

The Boston Institute of Analytics (BIA) is a premier institution offering specialized training in Cloud Computing and DevOps. Their programs are designed to help students acquire the skills needed to excel in these fields, including SQL and its applications in cloud computing.

Comprehensive Learning Modules

BIA’s courses cover:

The fundamentals of SQL and advanced querying techniques.

Hands-on experience with cloud database services like Amazon RDS and Google Cloud SQL.

Practical training in data analytics tools like BigQuery and Redshift.

Integration of SQL into DevOps workflows.

Industry-Centric Training

BIA collaborates with industry experts to ensure its curriculum reflects the latest trends and practices. Students work on real-world projects and case studies, building a strong portfolio to showcase their skills.

Career Support and Certification

BIA offers globally recognized certifications that validate your expertise in Cloud Computing and SQL. Additionally, they provide career support services, including resume building, interview preparation, and job placement assistance.

Final Thoughts

So, is SQL necessary for cloud computing? While it’s not mandatory for every role, SQL is a critical skill for working with cloud databases, data analytics, and application development. It empowers professionals to manage data effectively, derive insights, and collaborate seamlessly in cloud environments.

If you’re aiming to build or advance your career in cloud computing, learning SQL is a worthwhile investment. The Boston Institute of Analytics offers comprehensive training programs to help you master SQL and other essential cloud computing skills. With their guidance, you’ll be well-prepared to excel in the ever-evolving tech landscape.

[goongu]

GCP Managed Services: Enhancing Business Efficiency

Expert GCP Managed Services – Goognu

In the ever-evolving world of technology, businesses strive to stay ahead by adopting modern tools and platforms that enhance efficiency, scalability, and security. One such solution is GCP Managed Services, which offers an array of cloud-based tools and services to help businesses thrive. This article delves into the benefits, features, and expertise of Goognu, a leading provider of GCP Managed Services, and how it empowers organizations to achieve their business goals.

What Are GCP Managed Services?

GCP Managed Services encompass a variety of cloud-based infrastructure, platform, and software solutions offered by Google Cloud Platform (GCP). These services enable businesses to build, deploy, and scale applications efficiently without the hassle of managing the underlying infrastructure. With advanced automation and intelligent analytics, GCP Managed Services provide organizations with access to Google’s global network of data centers, either for free or on a pay-per-use basis.

Organizations can rely on GCP Managed Services for one-time needs like cloud migration or disaster recovery, as well as for day-to-day operations of their workloads. By leveraging these services, businesses can reduce costs, minimize time-to-market, and focus on their core activities.

Why Choose Goognu for GCP Managed Services?

Goognu is a trusted name in the field of GCP Managed Services, offering a comprehensive range of solutions to help businesses optimize their cloud infrastructure and applications. With over 13 years of experience in the industry, Goognu has become a go-to provider for organizations seeking expertise in cloud technology.

Expertise in Cloud Management

Goognu’s team of skilled cloud engineers specializes in managing GCP environments for some of the largest organizations across various industries. Their expertise includes:

Data Management: Using tools like Google BigQuery to batch upload or stream data, analyze it, and produce actionable insights through visualization.

Cloud Monitoring: Providing visibility into applications and infrastructure, whether on GCP, hybrid, or multi-cloud setups.

Container Management: Deploying and managing containerized applications with Kubernetes and GKE for efficient container orchestration.

Database Services: Maintaining and administering relational databases such as MySQL, PostgreSQL, and SQL Server.

CI/CD Pipeline Setup: Using tools like Google Cloud Build, Jenkins, or GitLab CI/CD to automate build, test, and deployment processes.

Cloud Migration: Planning and executing smooth transitions of applications, data, and workloads to GCP.

Enhanced Security and Compliance

Security is a top priority for Goognu. Their services include implementing industry-standard security practices, managing access controls, and using GCP’s security features to safeguard against potential threats. Tools like Identity and Access Management (IAM) allow organizations to set appropriate roles and permissions, ensuring that only authorized team members have access to specific resources.

Cost Efficiency and Optimization

Goognu focuses on helping businesses optimize their GCP infrastructure for performance, reliability, and cost-efficiency. Their tailored solutions ensure that businesses can scale their operations seamlessly while keeping expenses in check.

Key Features of Goognu’s GCP Managed Services

Developer Services

Goognu accelerates the software development process by providing robust developer services. This not only reduces costs but also allows businesses to achieve their goals faster.

Security and Compliance

By ensuring the security and compliance of cloud environments, Goognu frees businesses from the burden of managing these critical aspects. Their expertise helps maintain a secure and compliant infrastructure.

User Management

Goognu’s user management services help businesses configure and manage IAM to meet their unique needs. This includes setting up access controls and providing ongoing support.

Architecture Flexibility

Every business has unique requirements, and Goognu’s architecture flexibility service ensures that the cloud environment is designed and implemented to meet these specific needs. This includes customized cloud architectures that align with business goals.

Infrastructure Maintenance

Managing infrastructure can be time-consuming. Goognu takes care of infrastructure maintenance, allowing businesses to focus on their core activities. They handle tasks like monitoring, provisioning, and fixing infrastructure issues.

Increased Availability

Goognu helps businesses design and manage their infrastructure to ensure maximum availability and uptime. This includes deploying applications that can handle high traffic and remain reliable.

Scalability

Scalability is a critical feature for growing businesses. Goognu designs and implements scalable infrastructures on GCP, providing solutions tailored to evolving business needs.

Optimization

Optimizing cloud environments for performance and cost-efficiency is a hallmark of Goognu’s services. Their experts ensure that businesses get the best out of their GCP investments.

Why Businesses Trust Goognu?

Experience

With over a decade of experience, Goognu has honed its expertise in providing world-class cloud solutions. Their in-depth knowledge of GCP Managed Services makes them a reliable partner for businesses.

Round-the-Clock Support

Goognu offers 24/7 support to address any questions or concerns, ensuring that businesses have the assistance they need whenever they need it.

Proven Security Measures

Goognu’s robust security practices ensure that businesses can operate efficiently while keeping their data safe and secure.

Cost-Effective Solutions

By providing customized, cost-efficient solutions, Goognu helps businesses achieve their goals without exceeding their budgets.

How Goognu Stands Out?

Goognu’s unique approach to GCP Managed Services lies in their ability to integrate advanced tools and techniques into their solutions. For instance:

Infrastructure as Code (IaC): Using Cloud Deployment Manager with YAML or JSON configuration files to manage GCP resources.

Data Insights: Leveraging tools like BigQuery for actionable data visualization.

Advanced Automation: Implementing CI/CD pipelines for seamless application deployment.

By choosing Goognu, businesses can focus on their core competencies while leaving the complexities of cloud management to the experts.

[aitoolswhitehattoolbox]

GCP/ Python/ Reactjs Developer

, and backend development using Python. Additionally, proficiency in AWS, PostgreSQL, Rails, React/TypeScript, and specialty… experience in developing and maintaining Order Management Systems, especially using Google Cloud and Python. • Strong expertise… Apply Now