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The latest News and Information on Containers, Kubernetes, Docker and related technologies.

AI SRE in Practice: Enabling Non-Experts to Troubleshoot Kubernetes

Kubernetes troubleshooting traditionally requires deep platform expertise. Understanding pod lifecycle, decoding error messages, correlating events across resources, and identifying root cause all demand experience that takes years to build. This expertise gap creates a bottleneck where only senior engineers can handle production issues, limiting how quickly teams can resolve incidents.

Centralizing Docker Logs for Observability and Security

Most people can remember the old game of telephone, the stream of whispered sentences or phrases across a group of kids. At each transmission, a different piece of information gets lost or misheard, leaving the last person with an incomplete or incomprehensible statement. Managing Docker logs can feel the same way, especially when an error message is lost or an error message lacks context.

When AI Writes the Code, Who Pays the Cloud Bill?

This is part two of a series of the implications of AI generated code becoming mainstream. We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can’t manage. Turns out that’s only half the problem. The other half shows up on the cloud bill. A prospect reached out to us last month. They’d been using Cursor and Claude Code for six months, shipping features at unprecedented velocity. Product was thrilled.

Ghosts of Servers Past: The Bare-Metal Comeback Story

Bare-metal. Just reading that word might trigger a physical reaction for some of us. Dusty closets, old server rooms, and loud rigs that never seemed to work quite right. Remember waiting days for IT to provision a server, only to realize your ticket got lost in the shuffle? Or the classic "well, it worked on my machine" excuse right before a production push? Ah, the good old days.

[Webinar] Conquering the Complexity of Self-Hosted Apps with Agentic AI SRE

Most enterprise SaaS products, like Komodor’s Autonomous AI SRE Platform, require installing a remote agent on the customer’s infrastructure, which varies significantly from one organization to another, in terms of architecture, configurations, permissions, processes, and more. This “unmanaged” model creates major blind spots, making daily operations, observability, debugging, and incident response challenging. When failures occur, limited visibility and bespoke systems make root-cause analysis slow, incomplete, or impossible.

The Ultimate Kubernetes Cost Monitoring And Management Guide

While Kubernetes enables teams to deliver more value faster, understanding and controlling Kubernetes costs remains challenging. You have disposable, replaceable compute resources constantly coming and going across a range of infrastructure types. Yet at the end of the month, you only get a billing line item for EKS costs and several EC2 instances.

Catch Every Moment in Kubernetes: Splunk's Observability Advantage

Discover why real-time, unsampled observability is critical for Kubernetes environments with Stephane Estevez from Splunk at KubeCon Europe 2026. Learn how Splunk’s unique approach helps you catch every important moment—even when containers vanish in milliseconds. Watch now for expert insights on cloud-native monitoring, observability, and Kubernetes best practices!