This episode of Azure on Air with Azure MVP's Toon Vanhoutte and Lex Hegt provides a comprehensive introduction to generative AI and retrieval-augmented generation, highlighting the capabilities and potential applications of the technology. Toon's practical demonstration of the job matcher copilot showcases the power of Azure OpenAI Service and its ability to deliver accurate and contextually relevant answers to complex queries.

Developer Advocate Mandi Walls welcomes Alan Hickmon, Sr. Solutions Consultant at PagerDuty, who demonstrates how to standardize and automate routine tasks, such as database upgrades, to enhance efficiency and free up valuable time for engineering teams.

See how you can centralize your metrics at any scale and unify them with logs and traces for full visibility into infrastructure health and performance. Slice and dice your metric data to quickly gain insights into any component within ephemeral infrastructure. Track tens of thousands of metrics out-of-the-box with open source-based integrations like Prometheus or Logz.io’s Telemetry Collector, while easily filtering out unneeded data to reduce costs. Utilize Kubernetes 360 to get a complete overview of infrastructure health and performance with minimal configuration.

Based on Jaeger, the popular open source for distributed tracing chosen for CNCF. Provided as an easy-to-use, fully managed solution, integrated with log and metrics analytics.

See how Logz.io makes log collection and analytics easier, faster, and more cost effective. With Logz.io, quickly explore your data with intuitive and high performance search filters, or accelerate troubleshooting with Log Patterns to scan through your log data in seconds. Visualize spikes, dips, and other trends in your logs with prebuilt and customizable monitoring dashboards.

Deep dive into how App 360 helps reduce troubleshooting time with Anomaly Detection. With Anomaly Detection for App 360, Logz.io users can now enlist targeted automation to do more work for you - automatically monitoring and alerting any issues occurring within the specific services and microservices identified as most critical.