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What does using AI for post-mortems actually mean?

Apr 23, 2026 By Article In Incident.io

Everyone is using AI to help with post-mortems now. The pitch is obvious: post-mortems are time-consuming, the blank page is brutal, and AI is very good at producing structured, confident-sounding documents quickly. We're not here to push back on that. We've built AI into our own post-mortem experience, pulling your Slack thread, timeline, PRs, and custom fields together and giving your team a meaningful starting point in seconds. We think that's genuinely valuable, and the teams using it agree.

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How it feels to run an incident with AI SRE

Apr 23, 2026 By Article In Incident.io

We've been building the broader incident.io platform for several years now, and one thing we've learned is that UX matters more here than almost anywhere else. When an incident fires, there's no room for poorly designed interfaces or fumbling through features you haven't touched in a while. The product has to be ergonomic: easy to pick up, easy to navigate, with the right things at your fingertips at exactly the right moment. We've put a lot of effort into this over the last 5 years.

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The data context gap: why agents fail on fragmented stacks

Apr 23, 2026 By Upsun In Upsun

Key takeaway: AI agents and RAG pipelines only reach production-grade accuracy when they are developed against byte-level clones of real production data. Without environment parity, the "repro gap" leads to inevitable AI failure.

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AI for Incident Response: Should You Build or Buy?

Apr 23, 2026 By Snir Amsalem In Komodor

SREs and platform teams are overwhelmed by the effort of manually troubleshooting ever-more complex cloud-native environments. This pain is driving a breakneck adoption of AI SRE solutions that promise to automate core reliability practices, from root cause analysis to capacity planning. For teams with strong engineering talent, creating a DIY AI SRE seems like a straightforward challenge.

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What Is AI Agent Observability? Why Cost Is The Signal You're Missing

Apr 23, 2026 By Keith MacKenzie In CloudZero

Your LLM observability stack probably handles individual model calls well enough. Latency, token counts, error rates, maybe even evaluation scores....

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CloudZero

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Introducing Ubuntu 26.04 LTS | Resolute Raccoon

Apr 23, 2026 By Canonical Ubuntu In Canonical

Ubuntu 26.04 LTS, codenamed, is now available to download. Resolute Raccoon builds on the resilience-focused improvements introduced in interim releases, with TPM-backed full-disk encryption, improved support for application permission prompting, Livepatch updates for Arm-based servers, and Rust-based utilities for enhanced memory safety. This release also brings native support for industry-leading AI/ML toolkits like NVIDIA CUDA and AMD ROCm, making Ubuntu 26.04 LTS the ideal platform for AI development and production workloads.

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AI agents are only as smart as the data you feed it

Apr 23, 2026 By Coralogix In Coralogix

AI is only as useful as the context you give it. An autonomous observability agent can unlock serious value from your telemetry, but only when the foundation is right: good telemetry, a strong data layer, and efficient access to the data. Annie Freeman and Lewis Isaac had a lot to say about this at AWS Summit London this week! hashtag#Observability hashtag#AI hashtag#AWSSummitLondon hashtag#DevOps hashtag#OpenTelemetry.

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Why Mandating AI Tools Backfires on Engineering Teams

Apr 23, 2026 By GitKraken In GitKraken

Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.

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Rootly's Dan Sadler: why AI coding tools are driving more incidents + why reliability is the product

Apr 23, 2026 By Cortex | Engineering Operations Platform In Cortex

Cortex co-founder and CTO Ganesh Datta sits down with Dan Sadler, VP of Engineering at Rootly. Dan explains how Rootly treats reliability as a product feature rather than just a technical metric, and why culture might be the most impactful element of building reliable systems.

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Voices You Can't Trust: Securing K-12 Communications Against AI Deepfake Threats

Apr 23, 2026 By Hassan Kassih In C1

It starts with a voice you recognize. A call from the superintendent asking for an urgent update. A voicemail from a principal requesting sensitive student information. A message that sounds authentic, because it is, at least on the surface. The tone, cadence, and even the subtle inflections are exactly right. But the request isn’t. AI-powered deepfakes are rapidly reshaping the threat landscape for K–12 schools, turning trusted communication channels into potential points of vulnerability.

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