Learn how to create a team chat application using Spring Boot and LangChain4j, featuring two AI assistants that communicate both with you and with each other.
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.
MCP makes AI integration easy but opens new security risks-like shadow servers, prompt hijacking, and connector exploits. Learn how to secure your AI-powered workflows.
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
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A resilient marketing data stack on GCP leverages BigQuery, Pub/Sub, and Dataflow to deliver real-time insights, handle schema drift, and scale analytics.
Iptables is a technology used in Linux subsystems to filter packets. This was the third attempt, and it proved to be very successful. Let's unpack how they work.
In this guide, learn to use Salesforce Data Cloud Ingestion API for real-time and bulk data ingestion to deliver accurate, personalized customer experiences.
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.
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