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

The War Room of AI Agents: Why the Future of AI SRE is Multi-Agent Orchestration

We’ve all been there. It’s 2 AM, your phone is buzzing with alerts, and you’re suddenly thrust into an incident war room with a dozen other bleary-eyed engineers. The production environment is on fire, customers are affected, and everyone’s trying to piece together what went wrong. But here’s what makes these moments fascinating from a systems perspective – it’s rarely just one person silently fixing the issue in isolation.

How to launch a Deep Learning VM on Google Cloud

Setting up a local Deep Learning environment can be a headache. Between managing CUDA drivers, resolving Python library conflicts, and ensuring you have enough GPU power, you often spend more time configuring than coding. Google Cloud and Canonical work together to solve this with Deep Learning VM Images, which use Ubuntu Accelerator Optimized OS as the base OS. These are pre-configured virtual machines optimized for data science and machine learning tasks.

What I Learned From Building an eBPF-Based Traffic Capture Application

I just finished building Speedscale’s eBPF-based component to capture and analyze network traffic in a Kubernetes cluster, and it forced me to confront some uncomfortable truths about observability. While there were certainly some challenges along the way, particularly in dealing with Go applications, the approach was relatively straightforward.

The Indirect Cost Trap: Why Your Margins Look Better Than They Are (And How To Fix It)

When a SaaS company scales, something curious happens. The cloud bill grows. One team swears it’s Kubernetes. Another blames the Black Friday promo. But when you’re unsure whether that increase is tied to healthy SaaS growth or simply overspending, your margins are already at risk. That gap between what’s spent and what’s understood is where indirect costs live. Yet these costs rarely show up in dashboards. Well, until it’s too late.

The rhythm of reliability: inside Canonical's operational cadence

In software engineering, we often talk about the “iron triangle” of constraints: time, resources, and features. You can rarely fix all three. At many companies, when scope creeps or resources get tight, the timeline is often the first element of the triangle to slip. At Canonical, we take a different approach. For us, time is the fixed constraint. This isn’t just about strict project management. It is a mechanism of trust.

Harnessing the potential of 5G with Kubernetes: a cloud-native telco transformation perspective

Telecommunications networks are undergoing a cloud-native revolution. 5G promises ultra-fast connectivity and real-time services, but achieving those benefits requires an infrastructure that is agile, low-latency, and highly reliable. Kubernetes has emerged as a cornerstone for telecom operators to meet 5G demands.

Store Docker images in Bitbucket with Bitbucket Packages | Bitbucket Blitz | Atlassian

In this video, I’ll show you how to store your Docker images directly in Bitbucket using Bitbucket Packages, so your code, CI/CD, and container images all live in one place. Bitbucket Packages is a native Docker registry for Bitbucket. By keeping your images alongside your repositories and pipelines, you can reduce tech stack complexity and enhance your security posture by managing permissions in a single system, rather than juggling yet another external registry, such as Docker Hub or Artifactory.

What is cloud parity? The future of flexible and sovereign cloud computing

Back in 2024, I officially put a name to a concept at Civo we had been developing for many years. I called it cloud parity. When Civo was incepted, two completely different worlds existed, the public cloud dominated by Amazon, Microsoft and Google, and the private cloud dominated mainly by VMware.

Top Data Center Management Trends to Watch in 2026

The pace of change in data center operations shows no sign of slowing, and 2026 is shaping up to be another year of rapid evolution. AI-driven demand is accelerating, hybrid architectures are growing more complex, and capacity constraints are forcing teams to rethink how they plan and operate their environments. Against this backdrop, data center professionals are reassessing the tools, processes, and strategies they rely on every day.