6 articles published in 2025.
TL;DR AI hype cooled in 2025, but scaling still depends on data readiness, context engineering and organizational change. A year of community sharing included five conferences, four community events, APIM Hotrod Season 2 and a technical book review, with human judgment central to AI collaboration.
TL;DR AI coding agents shift pull requests from personal ownership toward shared collaboration: humans define intent, steer implementations and judge quality while agents do the coding. The speed gains require balance, avoiding excessive parallel work that creates context switching and cognitive overload.
TL;DR : Stop alerting on metrics. Start alerting on health. Azure Monitor Health Models combine metrics, logs, and dependencies into a unified view of workload health. Model critical business flows, propagate failures across components, and trigger meaningful alerts that reduce noise and reflect real customer impact.
TL;DR Azure Container Apps serverless GPUs offer managed, consumption-based compute with autoscaling to zero. A Hugging Face TGI deployment serves a Mistral model and exports traces to Application Insights, while exploring GPU selection, cold starts, regional availability and scaling limits.
TL;DR Logic Apps Hybrid scales individual pods rather than an entire Workflow Plan. Tests show KEDA and HPA adjusting replicas using SQL-backed job metrics and HTTP concurrency. Manual scaling uses overlapping revisions that need spare capacity, and scaling to zero is not supported.
TL;DR : Discover key insights to successfully run Logic Apps in a hybrid environment.