View Kubernetes events in Last9
View Kubernetes events in Last9 — across clusters, deployments, statefulsets, and even correlated with services.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on Service Reliability Engineering and related technologies.
Self Improving Agents in Software Engineering
How are you teaching your agents? Are they learning on their own? Does that lead to better results? Listen to @prathameshsonpatki7217 talk about our experience running agents in production for the last 8 months that self improve!
Keyboard Shortcuts for Log Viewer - ASMR Style Video
Keyboard Shortcuts for Log Viewer - ASMR Style Video https://last9.io/changelog/changelog-january-2026/
AI vs. AI: from alert fatigue to agentic cybersecurity
AI is transforming cybersecurity on both sides of the battlefield. Attackers can now launch highly personalized phishing campaigns at scale and build malware capable of making autonomous decisions. At the same time, security teams are using AI agents to investigate alerts, reduce noise, and respond to threats faster. In this episode of Humans of Reliability, we speak with Nir Soudry, Head of R&D at 7AI, about the shift from alert fatigue to agentic cybersecurity.
An SRE agent for production
AI has changed how software gets built. It hasn't changed how software gets run. Most of the AI money in software has gone into the IDE: code generation, copilots, developer assistants, faster pull requests. That work matters. But writing software is one slice of the lifecycle. The harder problem, and the more expensive one, is running that software in production. Production is where systems fail in ways nobody predicted. Incidents don't stay inside one service.
We built an SRE bot on AURA. Here's what we learned.
PagerDuty fires. You open the incident. Title, timestamp, nothing else. Whatever context exists is in someone's head, in a Slack thread from two weeks ago, or in a runbook nobody has touched since the last reorg. We got tired of that. So we put an AURA agent behind a Slack bot and pointed it at our own production environment.
Building AI SRE Agents, Part 1: Start Local, Break Things, Learn Fast
The first stage of AI SRE maturity is a laptop, a throwaway cluster, and zero production access. Here’s how to set it up, and what to watch for. AI SRE (Site Reliability Engineering) agents are AI-powered systems that automate the most time-consuming parts of incident response: triaging alerts, correlating logs and metrics, generating root-cause hypotheses, and proposing remediation steps.
Build an SRE Agent Harness for AIOps Without Context Blowout
An agent harness for AIOps is the runtime layer that coding agents like Claude Code were never built to provide: context isolation, decision traceability, and gated execution for tools that touch production. Aura is Mezmo's open-source (Apache 2.0) agent harness, purpose-built for operations work rather than software development.
They stopped shipping features for half a year, now they're thriving
When incidents pile up fast enough, every part of the company bleeds: support is fielding angry customers, AEs are on apology calls, and engineering is burning cycles on retrospectives instead of shipping. For Eran Kampf (VP of Engineering at Twingate, Co-founder Monday.com) where the product is the network, that was the moment he made a call most engineering leaders won't: stop all feature work for a quarter and fix reliability.
How SRE Practices Improve Trust in Digital Finance and Healthcare Platforms
Trust used to be a brand problem. Now it's an uptime problem, a latency problem, a data integrity problem, and sometimes a "why is the payment button spinning again?" problem. For digital finance and healthcare platforms, users don't separate the service from the system behind it. If the app fails, the business feels careless. If records lag, confidence drops. If a transaction disappears for even a few seconds, panic arrives fast.