DevOps and CI/CD Resources

From DevOps to AIOps: How Agentic AI Tamed Our Multi-Substrate Chaos

Legacy VMware on-prem, reactive AWS, and a ticket queue that never emptied — we deployed agentic AI across both substrates and changed how the team operates entirely.

July 27, 2026

by Mayank Jain

· 1,619 Views · 1 Like

Engineering Production Agentic Systems: Part 1: The Pipeline

Learn how to engineer production-ready AI agent context with a five-stage pipeline for retrieval, enrichment, verification, compression, and prompt injection.

July 24, 2026

by Ram Ravishankar

· 2,675 Views

Avoid 10 Pitfalls of Overautomation in Software Development

Pitfalls of overautomation include automating a flawed process, relying only on automated security triggers, automating with unclean data, and more.

July 23, 2026

by Zac Amos

· 2,842 Views · 1 Like

How to Build a Solid Test Pipeline in the Era of Agentic AI Development

Learn to build a strong testing pipeline to ensure code quality, as in enterprises today most code is generated by AI agents at a huge volume and scale.

July 22, 2026

by Sai Rakshit Yerram

· 4,444 Views · 2 Likes

Security Is a Platform Property, Not a Pipeline Step

Security works best when it is built into the platform: Terraform guardrails, CI/CD checks, and golden path templates make secure delivery the default.

July 20, 2026

by Naveen Kalapala

· 2,396 Views

Your Automation Pipeline Is Not a Source of Truth

Pipelines that apply infrastructure changes without a declared source of intent create invisible drift. The pipeline should be the executor, not the authority.

July 17, 2026

by Jeleel Muibi

· 2,140 Views · 1 Like

Scaling Teams, Scaling Systems: Unlocking Developer Productivity With Platform Engineering

Platform engineering scales teams and systems, streamlines workflows, and reduces friction—driving faster delivery, collaboration, and sustainable growth.

July 14, 2026

by Ammar Husain

CORE

· 2,887 Views · 1 Like

Building Reliable Async Processing Pipelines Using Temporal

Temporal replaces complex retry, recovery, and queue-handling logic with durable workflows that automatically recover from failures and resume execution reliably.

July 13, 2026

by Akhil Madineni

CORE

· 2,094 Views · 2 Likes

Candidate Generation Decides Your Pipeline's Cost, Not the LLM

LLM-powered document intelligence pipelines rarely blow their budgets on summarization. The failure is one layer up: a missing triage and candidate generation layer.

July 9, 2026

by Deepak Gupta

· 2,105 Views · 1 Like

From Bash Script to Operational Triage: What Eight Months of Kubernetes Debugging Taught Me

Finding Kubernetes failures is easy. Knowing where to start is the hard part. Here's what eight months of building taught me.

July 9, 2026

by Shamsher Khan

CORE

· 2,283 Views

Getting Started With RabbitMQ in Spring Boot

Learn RabbitMQ basics with Spring Boot, including exchanges, queues, routing keys, consumers, and Docker Compose in a hands-on example.

July 8, 2026

by Gunter Rotsaert

CORE

· 2,252 Views

Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks

This article walks through building a modern Databricks pipeline using the Medallion Architecture, explains Delta Lake's transaction log and ACID guarantees.

July 8, 2026

by Jubin Soni, FBCS

CORE

· 1,575 Views · 1 Like

AI Won't Keep You from Hitting the Scalability Wall

AI coding tools can dramatically speed up integration builds — but speed isn't the bottleneck. The real issue is the long-term ownership cost.

July 8, 2026

by Bru Woodring

· 1,805 Views

How to Build a Production-Ready RAG Pipeline With Vector DBs

RAG prototypes are easy. Production RAG is not. This covers vector DB tradeoffs, chunking patterns, re-ranking, and evaluation setups that hold up at scale.

July 6, 2026

by Mark Saxon

· 3,598 Views · 1 Like