How-To
Observability logs: preserve the events an investigation needs
Design logs around useful events, searchable context, and a collection path whose failures are visible.
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News
NVIDIA’s confidential inference results need a workload boundary
NVIDIA reports low confidential-computing overhead on an eight-GPU test. Separate that measured performance result from your own security and recovery claims.
News
GPT-6 Sol and Luna change the agent cost calculation
Lower model prices and new caching controls make agent pilots cheaper to run. Measure accepted work before expanding the workload.
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.
How-To
Linux performance tuning starts with a bottleneck
Measure a representative workload, identify the limiting resource, and test one reversible change instead of applying a universal sysctl recipe.
Leadership & Culture
Incident authority: make the next mitigation decidable
Separate incident coordination from mitigation authority, compare competing actions, and use a worksheet that preserves decisions and verification.
AIOps
Python logging for operations: record failure and preserve the exit status
Use Python logging to capture useful context without swallowing errors, duplicating exceptions, or exposing sensitive data.
SRE
SRE runbook template: diagnosis, bounded action, and recovery
Download a Markdown runbook template and follow a database connection example that separates symptoms, mitigation decisions, and verified recovery.
How-To
Containers and orchestration: understand what the platform guarantees
Containers package processes; orchestration reconciles desired state. Reliability still depends on probes, capacity, dependencies, and application behavior.
AIOps
Observability With AIOps: A Practical Evaluation Guide
Use AIOps to connect operational evidence, then test whether it improves investigation without hiding missing signals or unsupported conclusions.
AIOps
Continuous monitoring needs a visible stale-data state
Design continuous monitoring around freshness, coverage, delivery, and response ownership before adding analysis or automation.
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.