Observable Kubernetes with the Elastic Stack

Adam Quan

Solutions Architect

Elastic

While Kubernetes can dramatically simplify the task of application deployment in containers, its dynamic nature adds new complexity to monitoring the services and applications running in it, as well as, the health of the containers and orchestration infrastructure itself. Elasticsearch and Beats can help, along with Kibana of course.

With the Kubernetes and Docker module in Beats, sending logs and metrics from your containerization and orchestration environment to Elasticsearch is one command away. Additionally, the Autodiscover feature in Filebeat and Metricbeat dynamically launches configurations to keep monitoring the changing environment without skipping a beat, as pods and services come and go. In this webinar, we will cover all that and more.

Highlights include:

• Three pillars of observability for Kubernetes
• Popular solutions for Kubernetes:
  1. Logging
  2. Metrics
  3. Tracing
• Power of auto-discovery
• Demo

Additional Resources (Related Content)

• Kubernetes Monitoring Webpage
• Docker & Kubernetes Log Collection and Monitoring with Beats and Elasticsearch Webinar

Blogs:

• Monitoring an application running in Docker containers and Kubernetes with the Elastic Stack
• Shipping Kubernetes Logs to Elasticsearch with Filebeat
• Monitor Kubernetes with Beats Autodiscover Feature and Elasticsearch
• Docker and Kubernetes Hints-Based Autodiscover with Beats