cloud platform Archives

Winsage

January 29, 2026

Microsoft’s Quiet Exodus: Why Enterprise Developers Are Abandoning Windows for Linux Workstations

Microsoft developers and enterprise technology leaders are increasingly choosing Linux over Windows for development tasks, driven by performance concerns, workflow inefficiencies, and the rise of cloud-native development. The Windows Subsystem for Linux (WSL) has facilitated this shift by allowing developers to work in a Linux environment while still using Windows. Tools like Docker, Kubernetes, and Terraform, which are primarily designed for Linux, have led to a reevaluation of desktop strategies across various industries. Linux provides direct access to the same kernel and toolchain used in production, reducing discrepancies that can lead to bugs. It typically requires less memory at idle compared to Windows, making it more efficient for developers managing multiple containers or virtual machines. Microsoft has responded by investing in platform-agnostic tools like Visual Studio Code and embracing Linux on its Azure cloud platform, where over 50% of virtual machines run Linux. The introduction of WSL2 has improved compatibility and performance, but it has also highlighted Windows' limitations, leading to frustrations among developers. Security considerations favor Linux due to its open-source nature, allowing for greater customization and auditing. Financially, Linux can be more economical for enterprises due to lower licensing costs and reduced hardware requirements. Organizations that have switched to Linux report significant improvements in build times and overall developer experience. Hybrid strategies are emerging to accommodate developer preferences while ensuring security, with cloud-based development environments gaining traction. The trend toward Linux workstations reflects broader industry movements toward open source and platform independence, as companies adapt to attract and retain technical talent.

Tech Optimizer

January 17, 2026

ClickHouse: $400 Million Series D Raised, Langfuse Acquisition, And Native Postgres Service Debuted

ClickHouse has secured 0 million in a Series D funding round led by Dragoneer Investment Group, with participation from investors such as Bessemer Venture Partners, GIC, and others. The funding will support global expansion and product development, focusing on AI infrastructure and application monitoring. ClickHouse currently has over 3,000 customers on its ClickHouse Cloud platform, with an annual recurring revenue growth exceeding 250% year over year. Recent adopters include Capital One, Lovable, and Airwallex, alongside established clients like Meta and Tesla. ClickHouse has acquired Langfuse, an open-source platform for LLM observability, and introduced a native Postgres service for integrating transactional workloads with its analytical engine. The company is also expanding its ecosystem and geographic reach through partnerships, including one with Japan Cloud and collaboration with Microsoft Azure.

Winsage

November 21, 2025

Microsoft at 40: Four Decades of Innovation and a Tech Legacy That Shaped the World

Microsoft was founded in 1975 by Bill Gates and Paul Allen in Albuquerque. It launched its first operating system, which led to the development of the Windows platform, becoming synonymous with personal computing in the 1990s and early 2000s. Microsoft Office established itself as the global standard for productivity. Under Satya Nadella's leadership, the company has focused on cloud computing and AI, with Azure becoming a significant cloud platform. Microsoft has made strategic acquisitions, including LinkedIn, GitHub, Mojang, and Activision Blizzard, transitioning to a diversified technology ecosystem.

Tech Optimizer

November 19, 2025

pgEdge Announces pgEdge Control Plane for Simplified Management and Orchestration of PostgreSQL Databases

pgEdge has launched the pgEdge Control Plane, a distributed application designed to manage and orchestrate PostgreSQL databases for single-region and globally distributed deployments. Key features include consistent database management through a declarative approach, high availability with read replicas and automated failover, seamless migration from single-region to distributed architectures, immutable infrastructure support, automated backup and restore capabilities, zero downtime maintenance, and multi-database host support. The Control Plane is compatible with pgEdge Enterprise Postgres and pgEdge Distributed Postgres, is fully open source, and supports deployment across major cloud providers and on-premises environments. It is included with paid pgEdge subscriptions, which offer 24/7 enterprise support.

AppWizard

October 30, 2025

microsoft-azure-cloud-services-outage

Microsoft acknowledged that users of its Azure cloud platform are experiencing difficulties accessing services such as Office 365 and Minecraft. The issues are linked to the Azure Front Door service, and customers can expect "initial signs of recovery" soon. Reports indicate that the outage has affected platforms including X-Box Live, Costco and Starbucks mobile apps and websites, and Copilot. This incident follows a recent significant outage of Amazon's cloud services that impacted various online platforms. Microsoft is the second-largest cloud provider, following Amazon.

Tech Optimizer

October 8, 2025

How OpenAI scaled with Azure Database for PostgreSQL – Microsoft for Startups Blog

OpenAI utilizes PostgreSQL as the backbone for its essential systems, particularly in collaboration with Microsoft Azure Database for PostgreSQL. Initially, OpenAI adopted a straightforward architecture with a single primary Postgres instance for write operations and multiple read-only replicas for handling read traffic. This setup allowed for exceptional scalability in read operations, but as demand increased, write requests became a bottleneck. To address scalability challenges, OpenAI implemented several strategies, including offloading write workloads, optimizing read-heavy workloads with replicas and smart query routing, and establishing schema governance for stability. These optimizations led to significant outcomes: the PostgreSQL cluster now processes millions of queries per second, has numerous global read replicas for low-latency access, and has improved database response times from approximately 50 milliseconds to under five milliseconds for many queries. OpenAI's collaboration with Azure Database for PostgreSQL facilitated ease of scaling and replication, allowing for the seamless addition of replicas and the development of features like elastic clusters and cascading read replicas. The advantages of Azure included high availability, co-innovation support, and security compliance, providing a reliable foundation for OpenAI's optimizations.

Tech Optimizer

October 4, 2025

Supabase Secures $100M to Scale its PostgreSQL AI Database

Supabase has raised 0 million in a Series E funding round, valuing the company at billion. The funding aims to enhance its PostgreSQL AI database capabilities, particularly with the introduction of Multigres, an enterprise-scale solution. Supabase's advanced version of PostgreSQL integrates the open-source pgvector tool for efficient handling of AI model embeddings. The platform also features Edge Functions for serverless functions in JavaScript and collaborates with Hugging Face to process embeddings. Supabase's developer base has doubled from 2 million to over 4 million recently. The funding will support technological advancements, particularly in developing Multigres, led by Sugu Sougoumarane, co-creator of Vitess.

Tech Optimizer

October 4, 2025

PostgreSQL specialist Supabase snags $100M in funding

Supabase has secured 0 million in late-stage funding, led by Accel and Peak XV, raising its valuation to billion. The company now has over 4 million developers using its platform, up from 2 million in April. Supabase offers a customized version of PostgreSQL with enhanced features for AI developers, including support for embeddings through the open-source tool pgvector. The platform also includes Edge Functions for serverless functions and has introduced a branching tool for database management. With the new funding, Supabase plans to develop an enterprise-scale version of its platform, Multigres, with assistance from Sugu Sougoumarane, co-creator of Vitess. The company will continue allowing employees to sell 25% of their vested stock during funding rounds and is accelerating hiring for open-source projects. Additionally, Supabase plans to raise another million for early customers and contributors to its open-source platform.

Tech Optimizer

October 4, 2025

PostgreSQL database specialist Supabase snags $100M in funding

Supabase has secured 0 million in late-stage funding to develop a new database tool called Multigres, increasing its valuation to billion. The Series E funding round was led by Accel and Peak XV, following a previous funding round in April where Supabase raised million and reported over 2 million developers in its community, which has now grown to over 4 million. Supabase enhances PostgreSQL with cybersecurity features and tools for AI developers, including support for embeddings through the integration of an open-source tool called pgvector. The company also offers Edge Functions for serverless functions in JavaScript and plans to develop an enterprise-scale version of its platform. Supabase will continue allowing employees to sell 25% of their vested stock in funding rounds and is accelerating hiring for key open-source projects. The company aims to raise an additional 0 million in the future for early customers and contributors to its open-source platform.

Tech Optimizer

September 25, 2025

Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part 2

The project involves deploying a board game recommendation system using FastAPI and PostgreSQL on Render. Key tasks include configuring a PostgreSQL database on Render, populating it with data, Dockerizing the FastAPI application, and deploying it as a Render Web Application. The PostgreSQL database is created on Render with the name “fastapi-database” using the free tier. The database connection is tested using the External Database URL, and tables are populated using a script. The FastAPI application is containerized with Docker, which involves creating a Dockerfile that specifies the base image, working directory, dependencies, and commands to run the application. The Docker image is built, tagged, and pushed to DockerHub. The image is then pulled into Render, where a personal access token is created for secure access. Environmental variables are configured for the FastAPI application, and upon successful deployment, the application can be accessed via a provided link, with Swagger documentation available for testing database connections. The project repository is available on GitHub, along with additional resources for FastAPI and Docker.