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62 results for “Reduce noisy alerts” · 13–24
Explainer · AI in production ·
Anomaly scores, correlated events and generated summaries provide different kinds of help. Each adds its own review, data and maintenance work.
Read explainer: What AIOps changes in the SRE workflowGuide · Engineering leadership ·
Primary shifts, specialist help, absence coverage and recovery time all contribute to the service an on-call calendar promises.
Read guide: Staffing an on-call rotation beyond the primary shiftExplainer · SLOs & reliability ·
Worked formulas and a scorecard connect customer outcomes, response delays and specialist workload to reliability investment.
Read explainer: SRE KPIs for service quality and the work behind itGuide · AI in production ·
Follow a weight through a training update, save a tiny model, and learn how checkpoints, fine-tuning, LoRA and held-out evaluation fit together.
Read guide: What are model weights, and how does training change them?News · AI in production ·
Separate distributed inference from a contained replication test, then match an edge-fleet containment claim to the evidence that can establish it.
Read news: What Anthropic actually tested in its AI self-replication studyGuide · AI in production ·
Understand the model marketplace and gateway, compare chat and API workflows, and choose a useful route through its models, providers, costs and privacy controls.
Read guide: What is OpenRouter? A practical guide to choosing and using AI modelsGuide · AI in production ·
Run an AI agent with useful access to files and services, then test exactly where OpenShell stops it. A hands-on guide to sandboxes, policy, credentials, and SRE workflows.
Read guide: What is OpenShell and how do I use it?Explainer · AI in production ·
Helion places CPU agent loops, token routing, GPU inference and supporting services in separate capacity zones that still share one task outcome.
Read explainer: AMD Helion separates agent execution from model inferenceNews · Platform engineering ·
Maia 300 joins chiplets, memory locality, networking, software, power and cooling. The operational test is accepted work under the same demand.
Read news: Microsoft Maia 300 makes inference efficiency a systems problemNews · Platform engineering ·
The October 12 OCP release spans rack designs, facility specifications, open-source operations software and planned optics. Operators should test each layer against workload evidence.
Read news: NVIDIA opens more of the Vera Rubin infrastructure stackExplainer · AI in production ·
Compare reference and speculative paths for token-level equivalence, then run a separate capacity trial so speed cannot conceal a serving-contract change.
Read explainer: Bit-exact decoding turns inference speedups into testable changesExplainer · AI in production ·
Measure cached input against total input, locate the prefix miss boundary, and judge cache changes beside latency, task cost and correction work.
Read explainer: Long agent sessions need a prompt-cache SLI