🦜 DZone DevOps and CI/CD Zone
@dzone.com.devops-and-cicd@rss-parrot.net
I'm an automated parrot! I relay a website's RSS feed to the Fediverse. Every time a new post appears in the feed, I toot about it. Follow me to get all new posts in your Mastodon timeline!
Brought to you by the RSS Parrot.
---
Recent posts in DevOps and CI/CD on DZone.com
Your feed and you don't want it here? Just
e-mail the birb.
Your Terraform Monolith Isn't Too Big. It's Tightly Coupled.
https://feeds.dzone.com/link/23568/17470334/terraform-state-coupling
Published: September 22, 2026 19:00
The first warning sign wasn't an outage. It was a boring pull request. We changed one App Service setting. It was the sort of change that should have resulted in a small plan and a quick review. Instead, Terraform refreshed networking, private endpoints,…
Beyond Token Intelligence: Why AI Code Review Needs Cognitive Architectures
https://feeds.dzone.com/link/23568/17469725/ai-cognitive-code-review
Published: September 22, 2026 16:00
A few months ago, I watched a senior engineer spend forty-five minutes reviewing a single pull request — a PR that an AI assistant had generated in under two minutes. The code looked clean. The tests passed. But she kept cross-referencing an incident…
Understand the Sidecar Pattern by Deploying n8n to AWS Fargate
https://feeds.dzone.com/link/23568/17464704/n8n-aws-fargate-sidecar
Published: September 17, 2026 15:00
A sidecar is a container that runs alongside another container as part of the same deployment unit. Just because two containers are in the same cluster or deployed around the same time doesn't make one a sidecar.Â
There are two things that make a sidecar.…
Why Real-Time Data Pipelines Are Becoming the Foundation of Industrial AI
https://feeds.dzone.com/link/23568/17463804/ai-real-time-data-pipelines
Published: September 16, 2026 18:00
I spent the first six months of a project convinced we had a model quality problem. Our anomaly detection system for manufacturing telemetry was missing obvious defects; things a human operator would catch in seconds. We tried bigger models, better…
Replacing JSON With Protobuf in Your Microservice Mesh: A Zero-Downtime Migration Blueprint
https://feeds.dzone.com/link/23568/17445421/replacing-json-with-protbuf
Published: September 11, 2026 14:00
When engineering teams build distributed systems, they naturally reach for REST over HTTP/1.1 with JSON payloads. JSON is readable, universally supported, and trivially easy to debug with any browser or proxy tool. For early-stage services handling modest…
Improving Repeated Analytics Workloads With Databricks Disk Cache
https://feeds.dzone.com/link/23568/17445380/databricks-cache-improves-analytics-workloads
Published: September 11, 2026 13:00
In many analytics platforms, there are performance issues that do not always come from complex transformations. Sometimes the bottleneck is much simpler: the same large datasets are being read repeatedly from remote storage.
This pattern is common in…
Kubernetes Says Ready. Your LLM Still Isn’t.
https://feeds.dzone.com/link/23568/17443593/kubernetes-llm-readiness
Published: September 9, 2026 15:00
A pod can look healthy in Kubernetes while the model behind it is still not ready to answer a request.
That is the gap I wanted to measure.
DORA Metrics Assume Your CI Pipeline Is Telling the Truth. What If It Is Not?
https://feeds.dzone.com/link/23568/17441965/dora-metrics-ci-pipeline-data
Published: September 7, 2026 15:00
The DORA framework is built on a premise so foundational that it rarely gets examined. When the research team behind it studied thousands of engineering organizations and identified the metrics that predict software delivery performance, they were…
Building Agentic RAG, Step by Step: From Static Retrieval to Reasoning Pipelines
https://feeds.dzone.com/link/23568/17439957/building-agentic-rag
Published: September 4, 2026 16:00
Retrieval-augmented generation solved a real problem: it grounded LLM outputs in facts the model was never trained on. But classic RAG has a ceiling. It retrieves once, stuffs the results into a prompt, and hopes the top-k chunks happen to contain the…