Explore all content tagged with "Reliability" across insights, frameworks, and resources.
Build a world-class incident management process. Learn frameworks for detection, response, communication, and learning from incidents to build more reliable systems.
Track the percentage of deployments that result in failures, rollbacks, or hotfixes. Essential for balancing speed with stability.
Track the percentage of failed requests. Critical for reliability, user experience, and incident detection.
Measure how quickly your team restores service after an incident. A key DORA metric that indicates your organization's resilience.
Track system availability and uptime percentage. Essential for SLAs, reliability, and customer trust.
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.
AI is rapidly shifting from conversational assistants to agentic systems that execute tasks (browsing, coding, security research), pushing companies to redesign workflows, service models, and...
AI is moving from "app layer innovation" to "end-to-end operational constraint," where power availability, runtime isolation (Wasm), and autonomous optimization (agents/RL) become first-class archi...
Engineering organizations are moving from generic "scale out" tactics to explicit latency budgets and priority-aware load control, treating performance as a product feature and resilience as a policy problem, not just an engineering concern.
Most CTOs I meet can describe their calendar, but not their job. That's not a knock-it's just what happens when the role is a moving target.
Most CTOs don't have a postmortem problem. They have a behavior change problem. The doc gets written, the meeting happens, everyone agrees it was a great discussion, and then the same class of incident shows up again 6-10 weeks later.
Most CTOs I talk to aren't worried about whether AI "works." They're worried about what happens when it works just enough to get embedded into core workflows—support, underwriting, sales ops, security...
Most CTOs I talk to don’t struggle with detecting incidents—they struggle with the messy middle: unclear authority, too many cooks in the channel, executives asking for ETAs you can’t honestly give, a...
AI is shifting from an application concern to an operations-and-infrastructure forcing function: teams are upgrading observability depth, hardening global dependency layers (like DNS)...
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