The previous sessions covered how to design and deploy Azure Kubernetes Service (AKS) clusters. Now we'll cover how to successfully operate AKS clusters in production and how to draw on learnings over time to fine-tune your cluster design and configuration.

Important: this session is part of 4-part series on Azure Kubernetes Service AKS. Please visit the series overview to learn about and register for all four sessions.

Topics Covered

• Reliability and business continuity - availability zones, uptime SLAs, backup and restore strategies, disaster recovery
• Cluster upgrades and patch management - support, lifecycles, and auto-upgrades
• Resource management strategies
• Monitoring - control plane vs cluster level (kubelet, nodes) vs workload level (pods)
• Azure Managed Grafana, Azure Monitor managed service for Prometheus, Container Insights

Learning Objectives
In this session, you will learn how to:

• Architect for reliability and resiliency based on your workloads' service level and availability requirements.
• Perform and configure cluster upgrades without downtime
• Monitor health and metrics that matter and from which you can fine-tune your configuration

Pre-requisite: Basic Kubernetes knowledge required

• Basic understanding of Azure as a platform
• Basic understanding of Kubernetes fundamentals and core concepts.
  Refer to this Microsoft learn module on Introduction to Kubernetes, especially how Kubernetes works lesson before joining this session.

Intended Audience
This series is relevant for all technical roles, e.g. architects, application engineers, as well as platform and operations engineers.

Engage live with FastTrack engineers
Each session in this AKS series includes a dedicated anonymous Q&A.

#fasttrack-azure This event is not recorded so feel free to come off mute and ask questions directly to the engineers. Check out more FastTrack events