dashboardsFeatured
DORA Metrics Dashboard - Grafana Template
Pre-configured Grafana dashboard for tracking the four key DORA metrics: deployment frequency, lead time, MTTR, and change failure rate.
Incident Response & Reliability topic icon
Incident Response & Site Reliability
Comprehensive guides for building reliable systems and effective incident response processes.
81 articles, frameworks, and resources
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Featured
playbooksFeatured
Managing Incidents at Scale: A Complete Playbook
Build a world-class incident management process. Learn frameworks for detection, response, communication, and learning from incidents to build more reliable systems.
•18 min read•
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runbooksFeatured
Database Outage Runbook
Step-by-step incident response playbook for database outages with clear actions, diagnosis steps, and post-incident procedures.
•8 min read•
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metricsFeatured
Mean Time to Recovery (MTTR)
Measure how quickly your team restores service after an incident. A key DORA metric that indicates your organization's resilience.
•17 min read•
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metricsFeatured
System Uptime / Availability
Track system availability and uptime percentage. Essential for SLAs, reliability, and customer trust.
•12 min read•
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metricsFeatured
Error Rate
Track the percentage of failed requests. Critical for reliability, user experience, and incident detection.
•14 min read•
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metricsFeatured
Change Failure Rate
Track the percentage of deployments that result in failures, rollbacks, or hotfixes. Essential for balancing speed with stability.
•13 min read•
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templatesFeatured
Incident Postmortem Template
A structured template for blameless incident analysis with timeline, root cause, and action items.
•26 min read•
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wardley-mapsFeatured
Observability Stack Evolution: Building vs Buying Your Monitoring
Map the evolution of observability tooling from custom scripts to SaaS platforms. Understand when to build, when to buy, and how to avoid the commodity trap.
•6 min read•
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frameworksFeatured
The Incident Response Playbook: From Detection to Post-Mortem
A battle-tested framework for handling production incidents—from the first alert to the blameless post-mortem. Includes severity classification, escalation playbooks, communication templates, and lessons from real outages.
•19 min read•
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insights
UK NCSC warns on China-linked targeting: a CTO playbook for sensitive data defense
Joint advisory with international partners highlights malicious targeting of organisations from a range of sectors across the globe.
•7 min read•
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insights
Mid Week Summary: Auditability, Control Planes, and Energy-Constrained Infrastructure (2026-09-16)
The week’s pattern: every “agent” rollout turned into a governance and energy conversation
•4 min read•
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insights
AI Is Moving the Bottleneck: From Model Quality to Security, Reliability, and Abuse-Resistance
AI adoption is forcing a pivot from “build smarter models” to “run safer systems”: faster vulnerability remediation, automated incident diagnosis, stricter identity/token controls, and explicit...
insights
The New Control Plane: DB-Centric Systems Meet AI Safety Guardrails
Engineering orgs are consolidating complexity into fewer, more controllable primitives (databases and constrained execution paths) while adding explicit governance mechanisms for AI outputs and...
•3 min read•
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insights
AI Is Scaling Faster Than Trust: Why CTOs Need an “AI Trust Stack” Now
AI is moving from experimentation to operational embedding (SRE, analytics, and autonomous agents), and the limiting factor is shifting from scale to trust: governance, security, auditability, and...
•3 min read•
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insights
AI Becomes the Enforcement Layer: From Engineering Docs to Runtime Guardrails
Engineering organizations are turning AI into an enforcement layer: standards, security, and reliability controls are being embedded directly into pipelines and runtime systems, rather than living as...
•3 min read•
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insights
The New AI Ops Stack: Model Routing, Telemetry Context, and Infrastructure Efficiency
AI programs are shifting from single-model adoption to “AI operations” as a discipline: routing across multiple models, tightening safety controls, and rebuilding observability plus infrastructure...
•3 min read•
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insights
AI Agents Are Becoming Production Systems, So Treat Them Like SRE-Owned Software
AI agent adoption is shifting from demos to operational systems, forcing CTOs to treat agents as production software with SRE-grade telemetry, security controls, and cost-aware model routing.
•3 min read•
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insights
Agentic AI Is Forcing a New Control Plane: Persistent Runtimes, Tool Governance, and Incident Response
Agentic AI is moving from stateless prompts to long-running workflows with persistent compute, tool execution, and enterprise governance.
•4 min read•
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insights
RabbitMQ Consulting: How CTOs Buy Expertise Without Buying Chaos
RabbitMQ consulting: how to pick the right help and get real outcomes
•11 min read•
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insights
Model-Driven Ops Is Becoming the Only Way to Survive the Agentic Change Rate
Engineering orgs are adopting model-driven automation (graphs, state machines, continuous behavioral analysis) to keep reliability and security intact as AI-assisted and agentic development...
•3 min read•
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insights
The Agentic Engineering Stack Is Forming: Browsers, On-Call, Code Migrations, and “Context Engineering”
Engineering organizations are standardizing on agentic systems that execute multi-step work (incident investigation, code migrations, performance changes, data context building), which is forcing new...
•3 min read•
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