Podcast · Humans of Reliability
The reality of GenAI in production
AWS's Eduardo Ordax on why companies stall in prototype purgatory, running agents in production, and which organizations are succeeding with GenAI.
Rootly Blog · Page 7
Incident Response
MTBF: what mean time between failures measures
Learn what Mean Time Between Failures (MTBF) is, how to calculate it, why it matters, and how engineering teams improve system reliability over time.
Incident Response
The hidden costs of immature incident management
Engineering leader Chris Inch on the costs of immature incident management, from a 2 a.m. daylight saving alert to recurring incidents and the hero pattern.
AI
Gemini 3 beaks OpenAI’s long-standing lead in SRE tasks.
Gemini 3 Pro scored about 4% more accurate than competing models on SRE-skills-bench, ending OpenAI's long lead on SRE tasks. See the findings and methodology.
Podcast · Humans of Reliability
It’s never different this time: LLM reliability without the hype
Arcee AI's Julien Simon on LLM reliability: why the same model behaves differently across providers, open versus closed models, and the rise of GenAI Ops.
AI
AI didn’t “arrive” at KubeCon 2025. It took the pager.
What KubeCon North America 2025 in Atlanta showed about AI taking operational actions, and the reliability lessons it holds for on-call teams, from Rootly.
Engineering
Prototyping with design playgrounds
Why Rootly builds small standalone design playgrounds to test new components like forms, so teams decide from real interactions rather than opinions.
Incident Response
Lessons from Anthropic’s retrospective.
What Anthropic's retrospective on three recent issues teaches SREs: quality is the new SLO, and subtle degradations and team coordination shape reliability.
Podcast · Humans of Reliability
You can’t fix what you don’t mneasure: Observability in the age of AI
Galileo's Conor Bronsdon on why observability underpins reliable AI, redefining AI metrics, human feedback and guardrails, and evaluation-driven development.
Incident Response
The unofficial KubeCon NA ‘25 SRE track
Five SRE-focused sessions to catch at KubeCon NA 2025 in Atlanta, covering rollouts, launch reliability, observability, operational resilience and cost.
Incident Response
Best on-call software compared: what engineering teams actually use in 2026
Compare the best on-call software in 2026 for alerting, escalation, incident response, automation, and engineering reliability.
AI
When nothing changes and everything breaks: why machine learning fails differently
Why machine learning systems fail quietly with no alerts, drawing on an MLOps conversation with Maria Vechtomova about monitoring gaps and reliability for ML.
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