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In Part 1, we walk through how to capture and monitor all major telemetry data.
Now we have captured our data, we’ll focus on what we can do with it. What are the measurements we need to take? What are the core sets of alarms that we must define, if we want to ensure operational readiness? In this webinar, we’ll dive into all of this, and look at practical ideas for operating even the most complex Kubernetes clusters.
Dashboarding tricks to highlight the most important information about your Kubernetes Cluster.
Common misconceptions about CPU, memory and container monitoring.
Defining the key alarms to maintain a healthy, self-healing, scalable K8s cluster.
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.
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