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

Sovereign clouds: enhanced data security with confidential computing

Increasingly, enterprises are interested in improving their level of control over their data, achieving digital sovereignty, and even building their own sovereign cloud. However, this means moving beyond thinking about just where your data is stored to thinking about the entire data lifecycle. In this blog, we cover the differences between data residency and data sovereignty, how confidential computing works to enhance the security of your data, and can support you in achieving digital sovereignty.

Webinar recap: FinOps In The AI Era - A Critical Recalibration

In March 2026, CloudZero’s Ben Austin, Director of Product Marketing, sat down with Ray Rike, Founder and CEO of Benchmarkit, to walk through findings from FinOps in the AI Era: A Critical Recalibration, a joint survey of nearly 500 organizational leaders on how they’re managing or, rather, struggling to manage AI costs.

AI at Superhuman (before it was cool) feat. Loïc Houssier

What does it actually look like to build an AI-native product and lead an engineering team through the AI era when you've been doing it longer than most? Rob Zuber sits down with Loïc Houssier, CTO at Superhuman, to talk about what it meant to be an AI company before AI was everywhere, and how that early foundation shapes the way they build, ship, and think today.

Why the AI market is shifting

The AI revolution is getting expensive. Ben Norris (AI Engineer at Civo) breaks down a staggering statistic: AI token usage has jumped from 9.8 trillion to 1.3 quadrillion in just under two years—a 130x increase. As businesses scale, the "closed source" premium is becoming a bottleneck. Watch as Ben explains why enterprises are turning toward democratized, open-source AI and smaller vendors like relaxAI to maintain power at a fraction of the cost.

Harness AI + MCP server: A Single Prompt to Accelerate the Software Development Lifecycle

Pipeline Creation: Using a single prompt in the IDE, a CI/CD pipeline is created and triggered via the agent connected to the Harness MCP server. Failure Diagnosis and Fix: When the pipeline fails, the agent is used to diagnose the issue (a failed dependency) and propose a fix, which is then committed, pushed, and the pipeline re-triggered to succeed. Deployment: After a successful build, the artifact is deployed into a Kubernetes cluster. Incident Response.

GPU Fragmentation Is Killing AI Economics

By 2026, the GPU shortage isn’t a supply-chain hiccup anymore. It’s baked into the system. Even after pouring billions into CapEx, most enterprises still want 40% more GPU capacity than they actually have. And it’s not because they’re chasing moonshots. Technology companies are training foundation models while serving inference for millions of users on the same clusters. AI labs are juggling fine-tuning, evaluation, and real-time experimentation side by side.

Service Status Update: March 5, 2026

On March 2, 2026 at 23:30:24 UTC, we experienced an issue where the Zoom AI scribe was unable to join calls, rendering Zoom meeting transcription unavailable for all users. On March 2, 2026 at 23:30:24 UTC, we experienced an issue where the Zoom AI scribe was unable to join calls, rendering Zoom meeting transcription unavailable for all users. The issue persisted from approximately February 28 through March 5, 2026.

Escalation policy for critical incidents

When a critical incident triggers, there’s no time to figure out who to call. That decision needs to be made well before the incident arrives. A dedicated escalation policy for critical incidents gives your team a clear path to follow the moment things go wrong, rather than leaving it to whoever happens to be around. This guide covers the key decisions involved in building that policy.