@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
Site URL: dzone.com/devops-and-cicd
Feed URL: feeds.dzone.com/devops-and-cicd
Posts: 10
Followers: 1
Orchestrating Trusted Environments: Securing Untrusted Code Execution With Docker and GKE Agent Sandbox
https://feeds.dzone.com/link/23568/17404363/secure-code-docker-gke
Published: August 6, 2026 12:00
Building agentic AI systems fundamentally changes how we handle application security. We are no longer just securing our own code. We are securing our infrastructure against code written dynamically by an LLM and executed on the fly. When building a…
Docker Containers Don’t Know Your Model Is Still Loading
https://feeds.dzone.com/link/23568/17404026/docker-model-loading
Published: August 5, 2026 19:00
It was a Friday at 4:50 pm, the worst possible time for anything to go sideways when marketing flipped on a new AI summarization feature for the whole user base instead of the 5% rollout we'd agreed on. Traffic to our LLM service doubled in about four…
Practical QA Workflow Showing How Teams Integrate LLM Testing into Real CI/CD Pipelines
https://feeds.dzone.com/link/23568/17404001/llm-testing-cicd
Published: August 5, 2026 18:00
Generative artificial intelligence introduces unprecedented unpredictability into software development pipelines. Traditional software returns predictable outputs for exact inputs. Large language models generate varied responses for the exact same prompt. …
Why LLM Pipelines Fail in Production and How Temporal and Kafka Fix Them
https://feeds.dzone.com/link/23568/17403906/llm-pipeline-failures
Published: August 5, 2026 15:00
A production LLM pipeline is rarely just a prompt and a response. It typically combines retrieval, prompt rendering, model inference, output shaping, validation, persistence, and downstream actions. That broader shape is why many systems look stable in a…
Understanding Agentic SDLC: The Future of Software Engineering
https://feeds.dzone.com/link/23568/17403248/understanding-agentic-sdlc
Published: August 4, 2026 14:00
Agentic SDLC, or agentic software development life cycle, is the next major shift in how I think about building and shipping software. It is not simply AI writing a few lines of code inside an IDE. It is an end-to-end approach where specialized AI agents…
Engineering Production Agentic Systems: Part 3: The Topology
https://feeds.dzone.com/link/23568/17403249/production-agentic-systems-topology
Published: August 4, 2026 13:00
Human-in-the-Loop Topology for Production Agentic Systems — Loop Bounding, Approval Gates, and Termination Discipline This is Part 3 of a three-part field manual on engineering production agentic systems. Part 1 took context engineering. Part 2 took…
Containerizing and Testing a Python Backtesting System With Docker and GitHub Actions
https://feeds.dzone.com/link/23568/17397525/python-backtesting-docker-github-actions
Published: July 31, 2026 16:00
Not long ago, I broke a backtest without changing a single line of code. I moved the script to a different machine—same OS, supposedly the same Python version — and the equity curve suddenly told a completely different story. Nothing in the logic had…
Deploying a Spring Boot Microservice on AWS Fargate: Lessons From the Outage That Forced Me to Get It Right
https://feeds.dzone.com/link/23568/17397479/spring-boot-aws-fargate
Published: July 31, 2026 15:00
My first attempt to deploy a Spring Boot microservice on AWS Fargate didn’t fail loudly. It failed quietly — in a loop. ECS kept launching tasks, the Application Load Balancer kept marking them unhealthy, and the service never stabilized. The logs looked…
Retrieval Augmented Generation With Spring AI 2.0, Claude, and PGvector
https://feeds.dzone.com/link/23568/17397316/build-a-RAG-service
Published: July 31, 2026 12:00
Language models become much more useful when they can answer questions about information they were never trained on, including your internal documentation, product manuals, policies, and other proprietary data. Prompting alone cannot solve this, because…
Build Your Own Local AI QA Engineer With Docker, Ollama, LibreChat, and Playwright MCP
https://feeds.dzone.com/link/23568/17396359/local-ai-qa-engineer
Published: July 30, 2026 12:00
Artificial intelligence is rapidly transforming software testing by enabling QA engineers to generate test cases and test plans, automate browser interactions, analyze and debug failures, and execute complex testing workflows using simple natural-language…