Use Playwright to reliably test real-time apps and capture WebSocket/SSE events, handle dynamic updates, simulate users, and catch edge cases for robust automation.
Facing a critical bug in unfamiliar code? Leverage documentation, automation, tests, observability, dependency fakes, policies, and AI to debug efficiently.
Multi-cloud brings resilience but also complexity, drift, security, and cost challenges. IaC, automation, and unified monitoring turn it into an advantage.
SQL Server ledger tables ensure data integrity: insert-only tables block updates, while updatable ones log every change. Learn how each handles updates.
This guide covers AI infrastructure, from hardware acceleration and model serving to monitoring and security, with tools, patterns, and strategies proven in production.
October 2, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
Agile teams thrive on speed. Time-boxed decisions apply bounded rationality to avoid analysis paralysis, reduce decision fatigue, and deliver value faster.
Treat your security rules and compliance like tests that run every time you perform Terraform Plan. Learn how Policy-as-Code (PaC) allows you to do that.
This article demonstrates how we can run vLLM on Kubernetes for a centralized LLM serving engine that is production-ready and can be used by multiple applications.
From database bottlenecks to lightning-fast APIs, improve your app’s performance by implementing caching in Spring Boot with Redis and ElastiCache for microservices.
Build real-time, serverless dashboards by streaming events with EventBridge, OpenSearch, WebSockets, eliminating polling and delivering instant updates at scale.
Learn in this guide how we migrated to a GitOps workflow with Helm, OpenShift, and ArgoCD — lessons, pitfalls, and wins from real-world Kubernetes deployments.
PySpark jobs often fail because of bad data, network issues, or logic errors. Sometimes, after hours of processing. Learn how to make your Spark pipelines more reliable.
We explore why product professionals risk sleepwalking into strategic irrelevance by over-trusting AI, relying on flawed metrics, and losing direct customer insight.