Operations | Monitoring | ITSM | DevOps | Cloud

Run Checkly Monitors Against Multiple Environments

Learn how to run Playwright tests across different environments without rewriting them. This tutorial covers managing environment variables in Checkly for API and browser checks, handling global and group-specific settings, and integrating with CI/CD processes. Discover the best practices for setting up environment variables, duplicating test groups, and customizing alerts to ensure your checks are environment-specific.

Scale Your Monitoring Solution With the VictoriaMetrics Ecosystem

When it comes down to scaling time series monitoring solutions things can get messy. That’s one of the reasons why VictoriaMetrics, a Silver member of the Cloud Native Computing Foundation (CNCF), started its journey some years ago. It is a simple, reliable and efficient set of Observability Solutions that's been adopted by many organizations. It's open source, with a strong community behind it, with enterprise and managed (Cloud) options for those who need support. VictoriaMetrics plays well with many standards, including Grafana and OpenTelemetry. Apart from that, in case you didn’t know, VictoriaLogs is the new kid in the block that's seriously outperforming other solutions. In this presentation, we’ll present the VictoriaMetrics Open Source projects and how they differ from other solutions, especially when it comes to scaling from single small setups to massive cluster deployments. Come learn how VictoriaMetrics projects can help to ease Observability!

How to Spot More Threats in Less Time Using AI

Can AI really help security teams build better threat models? Microsoft's Senior Gaming Security Architect, Audrey Long breaks down the strengths and limits of AI in threat modeling, shows how she uses Azure OpenAI for attack tree automation, and reveals why human review still matters. Includes practical examples and live demos. Git Blog: gitkraken.com/blog.

Cortex MCP set up

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.