Incident Response
Owning reliability at scale: inside the hybrid incident models
Centralized and distributed incident command, then see hybrid models organized by severity, role specialization, communication surface and team maturity.
Rootly Blog · Page 10
Incident Response
Distributed and global on-call: best practices for 24/7 teams
Learn how distributed and global on-call models support true 24/7 reliability, reduce burnout, and improve incident response across time zones.
Podcast · Humans of Reliability
Balancing reliability at the crypto-finance frontier
Uphold's Brian Shaw on the reliability demands of a crypto-fintech platform, Kubernetes and microservices, the platform reliability team, and AI in operations.
Incident Response
Beyond MTTX: a case for qualitative incident assessments
This article explores why teams should move beyond simplistic metrics and focus on qualitative assessments to strengthen their resilience
Podcast · Humans of Reliability
Command under pressure: Incident leadership and human-centered reliability
Former engineering director David Owczarek on incident management at startups versus large companies, the incident commander role, customer updates, and AI.
Incident Response
Your reliability is only as resilient as the platforms you build on
What the GCP outage showed about incident tooling that depends on the same cloud providers it monitors, and how to keep response tools running during a cascade.
Podcast · Humans of Reliability
AI at the frontlines of healthcare reliability
CVS Health's Ryan Lockard on AI in incident management, unlocking legacy systems, natural language interfaces and MCP, ownership, and AI's effect on engineers.
Podcast · Humans of Reliability
Trust is the product: Building reliable billing in the AI era
Metronome's Cosmo Wolfe on why trust is central to AI billing, event sourcing for explainable charges, and observability for AI-critical systems.
Podcast · Humans of Reliability
AI can boost developer productivity, if used right
DX Deputy CTO Justin Reock on measuring AI's impact on developer productivity, the risks of gamed metrics, moving beyond DORA, and developer experience.
Engineering
How we built an OSS LLM-powered incident diagram generator
Discover IncidentDiagram, an open-source CLI tool that uses LLMs to turn incident retrospectives and codebases into easy-to-understand visual diagrams.
AI
AI in incident response: how automation improves MTTR
Discover how AI in incident response cuts MTTR through rapid detection, automated triage, and faster resolution, boosting uptime and reliability.
Product
Announcing Rootly AI Labs: accelerating reliability engineering through community-driven innovation
Rootly AI Labs is a community program for open-source AI tools and research for reliability. See the GitHub HQ launch and projects like the MCP Server.
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