ExplainerPlatform engineering
GPU capacity depends on power and cooling
Power and cooling affect the work a GPU pool can sustain. Device signals, request completions and queue growth help distinguish a physical limit from a workload change.
Articles
Guides, news and explanations about AI and reliable systems.
ExplainerAI in production
How an AIOps finding becomes an agent action
A rollback proposal crosses from recorded evidence into a changing system. The handoff carries source references, current preconditions and unfinished actions.
ExplainerPlatform engineering
Evaluating AI storage for startup and checkpoint recovery
Fast model loading and successful checkpoint recovery test different storage paths. Compare both before adopting an AI storage configuration.
ExplainerAI in production
What the AIOps market forecast measures
The dated market estimate has a definition, forecast period and growth calculation. Those details explain how it can inform a local investment discussion.
ExplainerAI in production
Using ChatGPT for SRE analysis and writing
Runbook comparisons, timelines and draft updates provide checkable inputs for assistance. Incident closure also needs evidence about service recovery and unfinished work.
ExplainerAI in production
What AIOps changes in the SRE workflow
Anomaly scores, correlated events and generated summaries provide different kinds of help. Each adds its own review, data and maintenance work.
ExplainerAI in production
How variational autoencoders learn telemetry patterns
The encoder, latent distribution and reconstruction objective explain why a VAE can flag a legitimate traffic change while overlooking a familiar failure.
ExplainerAI in production
How GANs generate synthetic telemetry
GANs learn to resemble training data. A cascading-timeout example explains what generated traces contribute to testing and what a controlled fixture supplies.
ExplainerIncident response
Calculating mean time to detect from incident records
Worked incident records explain the MTTD formula, uncertain onset times and the effect of including failures first reported by customers.
ExplainerObservability
What observability metrics keep and leave out
Counters, gauges and distributions preserve different information. A misleading latency trend shows why the counted requests matter as much as the chart.
ExplainerObservability
The path from a log event to an investigation
An unfinished worker operation connects event fields, collection loss and search permissions to the responder’s next retry decision.
ExplainerPlatform engineering
How containers and Kubernetes turn an image into a service
Images package processes and Kubernetes reconciles their deployment. Probes, resource settings and completed jobs reveal different stages of the service.