SRE
Error-budget template: calculations and release-policy fields
Adapt a complete SLO record, worked budget examples, and an exception log without confusing bad requests with minutes of downtime.
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SRE
Error-budget policy: agree on the decision before the outage
Connect an SLO’s allowance to planning and release behavior, with explicit ownership, exceptions, and treatment of measurement gaps.
AIOps
Release gates that hold up under incident pressure
Turn reliability policy into a release decision with fresh evidence, limited exceptions, and a clear path to resuming normal changes.
AIOps
AI in release engineering: improve evidence without weakening the gate
Use models for test suggestions and change analysis while keeping artifact identity, promotion rules, and rollback checks enforceable.
SRE
Error budgets: calculate the allowance and agree how to use it
An error budget translates an SLO into an allowed amount of bad service. Its value comes from the decisions attached to consumption and burn rate.
SRE
Service level objectives: define the experience you intend to protect
Choose an SLI, target, and evaluation window that reflect user experience, then agree on the decisions an SLO result will change.
News
Kubernetes Memory QoS: what AI inference teams should test
Memory QoS reaches beta in Kubernetes 1.37. For AI inference teams, the rollout question is how host-memory policy affects serving latency and neighboring workers.
How-To
Canary deployments: limit exposure and test the comparison
Choose representative traffic, define promotion criteria, and verify rollback compatibility before expanding a release.
SRE
SRE KPIs: measure outcomes, response, and operational cost
Choose a small set of reliability indicators with clear definitions, useful distributions, and an explicit decision attached to each.
How-To
Mean time to detect: calculate MTTD and expose measurement gaps
Use consistent onset and discovery timestamps, include customer-reported incidents, and interpret the average with its sample and uncertainty.
How-To
The SRE and platform handoff
Clarify ownership across shared platforms, service reliability, and incident response.
AIOps
GPU capacity depends on power and cooling
When inference slows without obvious application errors, test physical constraints alongside queueing, workload changes, and software regressions.