Running Elastic on Kubernetes with ECK

Benjamin Schmeling

Senior Solutions Architect

Elastic

Akim Akhter

Senior Solutions Architect

Elastic

Running Elasticsearch cloud-native – from theory to practice

Containers and Kubernetes have long become the standard for operating modern applications. But how do you reliably run a demanding, stateful platform like Elasticsearch on Kubernetes? The answer is Elastic Cloud on Kubernetes (ECK) – the official operator that lets you deploy, scale, and manage the Elastic Stack as a cloud-native application.

With Elastic Cloud on Kubernetes, you can streamline critical operations, such as:

• Managing and monitoring multiple clusters from a single place
• Scaling cluster capacity and storage
• Safe configuration changes through rolling upgrades
• Securing your clusters with TLS certificates
• Hot-warm-cold architectures with availability zone awareness

In this on-demand workshop, you’ll go beyond the theory of ECK and see how it works in practice. Follow along as we deploy a complete Elasticsearch cluster and its related components as ECK Custom Resources, providing a practical look at day-to-day operations.

What to expect

Over the course of the hour, we'll work through a full deployment cycle together:

• Introduction to ECK – How the operator works and why it simplifies running Elastic on Kubernetes
• Deploy an Elasticsearch cluster – As an ECK Custom Resource in a local cluster environment
• Set up Kibana – Visualize and manage your cluster
• Fleet and Elastic Agent – Deployment and integration for centralized data management
• Operations in practice – What running Elastic with ECK looks like day to day, and what matters most