Operations | Monitoring | ITSM | DevOps | Cloud

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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.

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.

Operating in the cloud has become the norm in today's business world. However, depending solely on public clouds can introduce several challenges such as increased costs, privacy issues, and performance limitations. Enter OpenStack, the world's leading open-source cloud platform. OpenStack empowers you to create your own cloud infrastructure, giving you control over your digital future.

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.

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 4: AI on public cloud with open source This will cover: Scenarios in which open source tooling on public cloud solves a problem for AI initiatives Main benefits of using open source tooling on the public cloud for AI projects Use cases from our customers Hybrid cloud and multi cloud opportunities for AI projects.

Uyuni is a fully open source configuration and infrastructure management tool for Linux that helps you easily manage and update server estates. It is also the upstream project from which SUSE Manager (SUMA) is derived. Earlier this year, the project introduced support for openEuler, the popular open-source Linux distribution platform. Join us on this Rancher Live episode with Zhenyu Zheng, community operations manager and maintainer of several special interest groups within the openEuler project, to learn more about the project & its collaboration with Uyuni.

The exponential growth of telemetry data presents a significant challenge for organizations, who often overspend on data management without fully capitalizing on its potential value. To unlock the true potential of their telemetry data, organizations must treat it as a valuable enterprise asset, applying rigorous data engineering principles to glean the critical insights and accelerated investigations this data is meant to enable. The telemetry data platform approach democratizes access across disciplines and personas and fosters widespread utilization across the organization.

The second session of our three-part summer series will help you assess and enhance your DevOps team's capabilities in preparation for transitioning to platform engineering using Omdia’s DevOps Maturity Checklist as our guide.

Join Stefan Judis, Playwright Ambassador, as he shows you how to speed up your Playwright test suite execution time for apps behind a login. Usually, login-walled products require you to log in for every test case. However, by implementing project dependencies, setting up a project, and pairing everything with the storage state, you can log into your app once and then reuse the browser and storage state. This setup equips your subsequent tests with essential cookies and browser state, saving time and effort by avoiding repetitive login actions.