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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

LLM Observability: Lessons From MLOps w/ Maria Vechtomova (Cauchy)

For nine years, Maria Vechtomova was shouting about monitoring. Nobody cared, until LLMs arrived. As co-founder of Cauchy, Databricks MVP, and one of the most followed voices in MLOps, Maria has watched the field evolve from hand-built experiment trackers to today's flood of observability tools, and her central claim might surprise you: globally, nothing has changed. The fundamentals are the same: track your code, data, and models so you can roll back when something breaks.

What are the benefits of decentralized AI infrastructure?

Have you ever considered how you can utilize artificial intelligence (AI) without sacrificing control over your data and autonomy? As we continue to navigate the changes of AI in the 21st century, it is important to understand how decentralized AI infrastructure can empower individuals and organizations to harness the potential of AI while maintaining sovereignty over their data and decision-making processes.

The RAM Crunch: How UK Businesses Can Weather the Global Memory Shortage

Tech headlines are being dominated by the perfect storm that has led to a global shortage of Random Access Memory (RAM). As the short-term, temporary memory that handles data for processing and applications, RAM - and specifically Dynamic Random Access Memory (DRAM) - is a foundational business technology.

Claude Code Sandbox: The Complete Guide to Sandboxing AI Agents in Production

How to sandbox Claude Code, Codex, and other AI coding agents for production use. Compare local Docker, Daytona, E2B, and Qovery approaches - with architecture diagrams and real-world examples. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

#058 - The Future of AI and Platform Engineering with Blake Sherwood (Smarsh)

In this episode, special guest Blake Sherwood joins the show to discuss his unique career trajectory from tourism and coal mining to leading massive-scale Kubernetes migrations. Blake shares insights from his experience managing petabytes of data in high-compliance environments, delving into the practical realities of integrating AI into enterprise workflows and observability systems.

Your Metrics Look Fine. Your Engineers Are About to Quit.

Developer experience predicts what's coming 3 to 6 months before it shows up in your delivery metrics. So why are most engineering leaders measuring it last? In this session, GitKraken VP of Developer Research Jeremy Castile breaks down what developer experience (DevX) actually is, how to measure it across 6 key dimensions, and how it connects to velocity, code quality, and AI impact data your team is already tracking.

From Monitoring to Observability: How DEX Integrations Strengthen IT Visibility and User Productivity

When I started working in IT in the last 90’s, IT performance was always measured by the health of infrastructure: CPU utilization, network latency, server uptime, and for many organizations, little has changed in the last 30+ years. We became very good at keeping systems alive, yet users still struggled to get work done. That disconnect is exactly why Digital Employee Experience (DEX) has emerged as a critical discipline. But DEX on its own is not the end goal.

Choosing a Software Engineering Intelligence Platform (2026)

Engineering leaders face a common challenge: too much data scattered across too many tools, and no clear picture of how software delivery is actually performing. A software engineering intelligence platform pulls together metrics from your Git repositories, CI/CD pipelines, and issue trackers into a single view – helping you make decisions based on evidence rather than intuition.

Getting started with Codex and CircleCI

Codex is OpenAI’s coding agent, powered by the GPT-5 family of models. It reads your files, proposes edits, and runs commands directly in your local environment. It ships as both a desktop app and an open source CLI, and it extends through plugins that connect it to external tools and services. Like any AI coding tool, Codex is strongest when the code it generates gets validated automatically.

Rethinking BYOD security: protecting data without trusting devices

BYOD (bring your own device) has always looked better on paper than it does in real life. The promise is clear: let people use the gadgets they already own. Less friction, lower costs, and more freedom. But when security and privacy are non-negotiable, the conversation around BYOD usually ends quickly. Not because BYOD is a bad idea, but because the model behind it doesn’t quite work. With BYOD, you’d be trying to secure something that isn’t meant to be trusted.