Operations | Monitoring | ITSM | DevOps | Cloud

Komodor

4 Cloud-Native Challenges AI SRE Is Solving in 2026 and the 3 New Ones to Look Out For

Jul 30, 2026 By Komodor In Komodor
AI SRE is making real strides in resolving some of the greatest pains related to incident response, troubleshooting, and complex root cause analysis. The on-call rotation, the war room, the week-long RCA, and the ticket queue that ate a third of every platform engineer’s week all look different now than they did two years ago.
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Install AURA to Debug Incidents Using an Open Source SRE Agent

Jul 28, 2026 By Mezmo In Mezmo
AURA is a fully open-source agentic harness built for SRE and production operations work. In this walkthrough, Mezmo forward deployed engineer Jeff iinstalls AURA on a local desktop, runs `aura init` to generate the config and connect it to an Anthropic Sonnet model, then wires in a Grafana MCP server pointed at his homelab. He hands AURA a live incident: a set of addressable LED lights that stopped responding to Home Assistant.
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What SREs Can Learn from Revenue Operations (and Vice Versa)

What SREs Can Learn from Revenue Operations (and Vice Versa)

Jul 28, 2026 By OpsMatters In OpsMatters
Site reliability engineers and revenue operations teams rarely sit at the same desk. Software engineers look after cloud infrastructure while operations professionals look after data pipelines and sales funnels. Yet both teams spend their days managing complex systems that can't afford to crash. When you look past the different tools they use, the underlying principles of both roles are almost identical. Let's examine how these two technical worlds can share practical insights to build better business systems.
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Your AI agents are lost: give them a graph

Jul 21, 2026 By Rootly In Rootly
The biggest limitation facing enterprise AI agents may not be the model. It may be the context surrounding it. Anthony Alcaraz, Senior AI/ML Portfolio Growth Manager at AWS and co-author of O'Reilly's *Agentic GraphRAG*, joins Humans of Reliability to explain why reliable agents need more than a vector database and a large context window. They need structured knowledge they can navigate, memory they can prune, constraints they can follow, and feedback loops that help them improve.
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last9

Better Together: Last9 + Altinity

Jul 21, 2026 By Last9 In Last9
Last9 and Altinity now run observability entirely in your own cloud, metrics, logs, traces, and profiles on an open-source ClickHouse stack, priced on capacity instead of ingestion, with Altinity operating the database so your team doesn't have to. Last9 is an observability platform built for high-cardinality telemetry. It unifies logs, metrics, and traces with native OpenTelemetry and Prometheus support, real-time alerting, and long-term retention.
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AI vs. AI: from alert fatigue to agentic cybersecurity

Jul 15, 2026 By Rootly In Rootly
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.
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mezmo

An SRE agent for production

Jul 14, 2026 By Mezmo In Mezmo
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.
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mezmo

We built an SRE bot on AURA. Here's what we learned.

Jul 14, 2026 By Mezmo In Mezmo
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.
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Build an SRE Agent Harness for AIOps Without Context Blowout

Jul 9, 2026 By Mezmo In Mezmo
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.
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Komodor

Building AI SRE Agents, Part 1: Start Local, Break Things, Learn Fast

Jul 9, 2026 By Nir Adler In Komodor
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.
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They stopped shipping features for half a year, now they're thriving

Jul 6, 2026 By Rootly In Rootly
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.
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How SRE Practices Improve Trust in Digital Finance and Healthcare Platforms

How SRE Practices Improve Trust in Digital Finance and Healthcare Platforms

Jul 3, 2026 By OpsMatters In OpsMatters
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.
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honeycomb

Could vs. Should: The First Year Managing an SRE Team

Jul 2, 2026 By Reid Savage In Honeycomb
As of today, I’ve drafted this post upwards of 10 times – it’s old enough that the version I first started working on was called “Reflections on 1 Year of SRE Management” (I’m currently at 2.5 years). But everything I learned during that first year became critical for the next.
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