AI
AI SRE needs more than AI: it needs operational context
An AI SRE can diagnose a failure in seconds, yet incidents still drag without ownership and context. Why operational context decides whether AI SRE delivers.

AI
An AI SRE can diagnose a failure in seconds, yet incidents still drag without ownership and context. Why operational context decides whether AI SRE delivers.
Incident Response
Reduce downtime with resilient infrastructure, monitoring, automation, runbooks, and incident management practices that keep services reliable.
Podcast · Humans of Reliability
Razor Group SVP Shery Brauner on protecting the user journey with SLOs, cutting alert noise, observability, and AI in incident response.
Humans
Rootly's product philosophy: incidents build great companies, so we design and test every feature for the moment an on-call engineer is mid-incident.
Humans
What to expect when interviewing at Rootly: each step of the hiring process, what is evaluated, how to prepare, and why work trials are a fair way to hire.
Humans
What to do when a call has too many leaders: why incident leadership gets unclear, how to build trust beforehand, and how to manage when multiple leaders clash.
AI
Treat AI in platform engineering like an ambitious intern: scoped credentials, clear limits and policy-driven guardrails, drawing on a PlatformCon NYC panel.
AI
Designing AI products adds a fourth step, interpretation, to input, system and output. What that means for product design and how Rootly designs for AI with AI.
Incident Response
Strategies from a roundtable of seasoned SREs for cutting noisy alerts, including splitting alerts into confidence streams so you only wake up when it counts.
AI
How AI agents work in production operations, what they can and cannot do today, and how building trust with them will change the way SRE teams operate.
Humans
On-call stress signals gaps in design, observability, automation and ownership. How to turn pager noise and recurring incidents into lasting reliability gains.
Incident Response
Brandon Chalk, a 16-year Google SRE, on why over-planned playbooks slow incident response and how to balance structure with the flexibility to adapt quickly.
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