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Part 1: The Gold Standard of K8s Observability

Monitoring virtual machines is hard, and monitoring containers is tricky. So, monitoring a single, self-healing, auto-scaling cluster with hundreds of VMs and thousands of containers can be insane—but it doesn’t have to be. In Part 1 of this two-part webinar series, we’ll explore the golden signals that can be collected and visualized to cover the vast majority of issues operators face when monitoring a Kubernetes (K8s) infrastructure. By doing so, you’ll achieve a smoother developer experience and a more resilient cluster.

Monitoring K8s is just the first step—but what do you do with all that data? In Part 2, we’ll look at practical ideas for operating even the most complex K8s clusters.

Topics we’ll explore in Part 1:

  • OTel Agent deployment strategies for capturing all major telemetry data, as well as library recommendations and tooling to accelerate time to value.

  • Dashboarding and alerting techniques for creating a comprehensive view of your K8s infrastructure that will support you through even the craziest outages.

  • Proactive measurements that users must take and SREs must measure, in order to encourage users to create a clean, observable and resilient cluster.

Meet The Speaker

Chris Cooney has spent over a decade as an SRE, Software Engineer, and now Developer Advocate. Passionate about observability, organizational leadership, and cutting-edge engineering, he has worked on everything from internal developer platforms and massive Kubernetes clusters to embedded systems powering industrial batteries for the UK balancing mechanism.

Now, he dedicates his time to helping companies unlock the full potential of their telemetry—transforming petabytes of raw data into actionable insights hidden within their code.

Chris Cooney
Director of Developer Advocacy
Coralogix

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