Kubernetes observability: best practices for success at scale

Presented by

Melody Hazi, Senior Solution Architect @ Spectro Cloud

About this talk

In any large-scale Kubernetes deployment, it can be difficult to keep track of what's happening — making any outage or issue a real challenge to troubleshoot. That's where observability comes in. Observability is the practice of collecting, correlating and analyzing different streams of data from across your deployment stack so that you can maintain application performance, fix complex problems more quickly, and even predict issues before they affect operations. In this webinar, we'll discuss best practices for Kubernetes observability. You’ll learn: - What observability is and why it’s so important in Kubernetes environments - The core elements of observability, including monitoring, logs, traces, visualizations and alerting - Which tools and products (open source and commercial) you should consider when implementing observability, including Prometheus, Grafana and OpenTelemetry - Key considerations when planning for observability, especially in multi-cluster environments or regulated industries - Shortcuts you can take to get up and running quickly, including a demo of a prebuilt stack you can deploy across your clusters straight away. Throughout the session, Melody will draw on years of experience implementing cloud-native observability solutions while working at Splunk/SignalFX, and share examples from real-life customer projects. Wherever you are in your observability journey, you’ll gain valuable insights you can apply immediately. Want a primer on the topic? Check out this blog: https://www.spectrocloud.com/blog/best-practices-for-kubernetes-observability-at-scale
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Spectro Cloud uniquely enables organizations to manage Kubernetes in production, at scale. Our Palette management platform gives effortless control of the full Kubernetes lifecycle, across clouds, data centers, bare metal and edge environments.