Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 5: AI on private cloud - why is it relevant in the hyperscalers era? This will cover: Why consider a private cloud for AI? Key considerations when building a private cloud for AI projects Performance acceleration options for private cloud Guidance for Kubernetes on OpenStack for AI initiatives.

Control Plane's audit trail service provides an immutable record of all resource mutations, whether initiated by the API, CLI, UI, Terraform, or other means. Users can leverage a user-friendly interface to search, filter, and review these actions, gaining visibility into timestamps, resource details, user information, and raw event data. Apply filters to refine the displayed actions based on resource type, audit context, resource name or ID, subject name, and date range, streamlining the audit review process and ensuring compliance with ease.

Metrics play a fundamental role in cloud computing, enabling the monitoring, optimization, and cost-effective operation of resources. They contribute to performance enhancement, efficient resource utilization, and overall operational excellence in the dynamic and scalable cloud environment. The Control Plane platform facilitates the collection of custom metrics from workloads, allowing applications to emit Prometheus-formatted metrics at a specified path and port. This configuration option extends to each container in a workload, providing flexibility in metrics management.

This episode of "INTEGRATE expert voices - Unplugged" from the Azure on Air podcast, features Julia Casper from Microsoft's API Management team.