https://www.infoq.com InfoQ Monitoring feed https://www.infoq.com/articles/local-first-ai-inference-cloud/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Monitoring <img src="https://res.infoq.com/articles/local-first-ai-inference-cloud/en/headerimage/Local-First-AI-Inference-A-Cloud-Architecture-Pattern-for-Cost-Effective-Document-Processing-header-1778141518292.jpg"/><p>The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human review. Deployed on 4,700 engineering drawing PDFs, it cut API costs by 75% and processing time by 55%, while bounding errors through a human review tier.</p> <i>By Obinna Iheanachor</i> Model Inference Generative AI Azure Observability Microsoft Azure Cost Optimization Artificial Intelligence GPT-4 Cloud DevOps AI, ML & Data Engineering Development article Mon, 11 May 2026 11:00:00 GMT https://www.infoq.com/articles/local-first-ai-inference-cloud/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Monitoring Obinna Iheanachor 2026-05-11T11:00:00Z /articles/local-first-ai-inference-cloud/en https://www.infoq.com/news/2026/05/kubernetes-monitoring-helm/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Monitoring <img src="https://res.infoq.com/news/2026/05/kubernetes-monitoring-helm/en/headerimage/generatedHeaderImage-1777406799196.jpg"/><p>Grafana Labs has released version 4 of its Kubernetes Monitoring Helm chart, describing it as the most significant update the chart has received since its introduction. The release, announced in April 2026 by Pete Wall and Beverly Buchanan, addresses a range of configuration problems that had accumulated as users scaled to larger and more complex deployments.</p> <i>By Matt Saunders</i> Kubernetes Monitoring helm DevOps news Wed, 06 May 2026 07:00:00 GMT https://www.infoq.com/news/2026/05/kubernetes-monitoring-helm/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Monitoring Matt Saunders 2026-05-06T07:00:00Z /news/2026/05/kubernetes-monitoring-helm/en https://www.infoq.com/articles/platform-reliability-cycle/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Monitoring <img src="https://res.infoq.com/articles/platform-reliability-cycle/en/headerimage/platform-reliability-cycle-header-1777467114542.jpg"/><p>Platform engineering succeeds when reliability and ergonomics reinforce each other rather than compete. This article explores three foundational pillars: automated reliability, developer ergonomics, and operator ergonomics. Together, they establish a virtuous cycle that strengthens system stability, reduces operational burden, and empowers teams to scale infrastructure with confidence.</p> <i>By Pratik Agarwal</i> Distributed Systems Observability Platform Engineering Developer Experience Site Reliability Engineering DevOps Architecture & Design article Tue, 05 May 2026 09:00:00 GMT https://www.infoq.com/articles/platform-reliability-cycle/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Monitoring Pratik Agarwal 2026-05-05T09:00:00Z /articles/platform-reliability-cycle/en