Tag: Devops and ci cd
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Zombie workloads haunt data center efficiency efforts
Posted on September 19, 2026, Level beginner Resource Length long
Idle AI and cloud jobs are draining scarce GPU capacity and budgets. New FinOps strategies and observability tools are emerging to hunt down these costly remnants before they cripple operations. By Jack Vaughan.
Tags cloud-and-infrastructure ai-and-machine-learning devops-and-ci-cd data-and-analytics
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Monitoring the Monitor: enabling internal telemetry in the OpenTelemetry Collector
Posted on September 16, 2026, Level advanced Resource Length long
Treating the OpenTelemetry Collector as invisible plumbing creates blind spots. By enabling internal telemetry, engineers can detect pipeline failures, queue buildup, and resource exhaustion before they compromise incident response. By Vivek Anandaraman.
Tags cloud-and-infrastructure devops-and-ci-cd software-engineering
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DockerWakeUp: Running containers on demand instead of 24/7
Posted on September 14, 2026, Level advanced Resource Length short
A practitioner tests DockerWakeUp, a proxy that scales containers to zero when idle. It saves resources and tightens the attack surface, but cold-start latency is a real cost that changes when the tool fits. By Brandon Lee.
Tags devops-and-ci-cd cloud-and-infrastructure backend-development
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Best Buy scales AI workloads and secures access with Workforce Identity Federation
Posted on August 18, 2026, Level beginner Resource Length short
Best Buy modernized its identity architecture by adopting Google Cloud's Workforce Identity Federation to securely federate Microsoft Entra ID identities. This move eliminated complex synchronization pipelines and service accounts, enabling tens of thousands of users to access advanced analytics and AI resources with existing credentials. The solution reduces administrative friction while ensuring strict control, auditability, and scalability for enterprise cloud operations. By Kishor Patil, Stephen Cakebread.
Tags security-and-privacy devops-and-ci-cd business-and-emerging-tech
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The password database is dead, we just haven't buried it yet.
Posted on August 11, 2026, Level beginner Resource Length short
This article argues that centralized password databases are inherently flawed security liabilities, creating high-value targets for breaches. It proposes shifting authentication to device-native hardware and Zero-Knowledge Proofs (ZKPs) to eliminate database leak risks entirely. By moving verification logic to the edge and removing central credential stores, organizations can fundamentally reduce their attack surface. By Corthan Newsroom.
Tags security-and-privacy architecture-and-apis cloud-and-infrastructure devops-and-ci-cd data-and-analytics
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Build your own local AI QA engineer with Docker, Ollama, LibreChat, and Playwright MCP
Posted on August 8, 2026, Level intermediate Resource Length medium
A groundbreaking approach to software quality assurance leverages local AI models to enhance testing efficiency, reduce cloud dependency, and improve data privacy. This article explores how on-device machine learning is transforming QA workflows for modern developers. By Faisal Khatri.
Tags ai-and-machine-learning architecture-and-apis devops-and-ci-cd cloud-and-infrastructure
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The Archaeologist's Copilot: Modernizing legacy code with AI and incremental refactoring
Posted on August 3, 2026, Level intermediate Resource Length long
The Archaeologist's Copilot explores the challenges and strategies involved in modernizing a Java 1.5 codebase using AI tools, Docker, and test-guided refactoring. It highlights the pitfalls of relying solely on AI for quick fixes and emphasizes the importance of structured, incremental improvements. By Nik Malykhin.
Tags backend-development devops-and-ci-cd ai-and-machine-learning software-engineering architecture-and-apis
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AI coding adoption hits 97% but governance lags behind
Posted on July 29, 2026, Level beginner Resource Length short
A recent survey reveals that nearly all software development teams now use AI coding assistants, yet governance frameworks lag significantly. While tools like GitHub Copilot and Claude Code are widely adopted, only 30% of teams have formal oversight mechanisms in place. This gap raises concerns about code quality, security, and long-term sustainability. The findings highlight a critical need for structured governance to maximize AI's benefits while mitigating risks. By Alessandro Mascellino.
Tags ai-and-machine-learning devops-and-ci-cd architecture-and-apis leadership-and-career security-and-privacy
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Building real-time data pipelines with Apache Kafka
Posted on July 23, 2026, Level intermediate Resource Length medium
This article explores the challenges and best practices for building robust real-time data pipelines using Apache Kafka. It emphasizes the importance of aligning pipeline design with downstream decision-making, defining event contracts early, and ensuring observability and replayability. The piece is particularly valuable for developers and DevOps engineers working with streaming data at scale. By Tran Tien Van.
Tags data-and-analytics devops-and-ci-cd
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How to debug coding agents with LangSmith traces
Posted on July 21, 2026, Level intermediate Resource Length medium
This article explores how LangSmith traces can help developers debug and optimize coding agents like Claude Code, Codex, and Copilot. It details how tracing tool calls, subagents, and errors can uncover hidden issues in AI-assisted development workflows. By Hari Harish.
Tags ai-and-machine-learning devops-and-ci-cd architecture-and-apis software-engineering product-and-design
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Build a local AI coding agent from scratch
Posted on July 19, 2026, Level advanced Resource Length long
This article explores how to build a minimal AI coding agent using Gemma 4 on llama.cpp, focusing on the role of tool harnesses and the security implications of running such agents unsandboxed. It also introduces NVIDIA OpenShell as a containment solution. By Murat Sari.
Tags ai-and-machine-learning software-engineering devops-and-ci-cd frontend-and-mobile
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PostHog vs Matomo: Choosing the right self-hosted analytics tool
Posted on July 15, 2026, Level beginner Resource Length medium
PostHog and Matomo serve distinct analytics purposes: PostHog excels in product analytics for SaaS applications, while Matomo is a robust web analytics platform. Both support self-hosting via Docker, but differ in resource usage and feature sets. By Alex Thornton.
Tags data-and-analytics devops-and-ci-cd cloud-and-infrastructure miscellaneous