Docker & Kubernetes Log Collection and Monitoring with Beats and Elasticsearch
Tasks such as log collection and metrics aggregation can be daunting within Kubernetes and Docker deployments. Fortunately, the open source Elastic Stack (formerly known as the ELK Stack) provides effective methods to collect and store a wide variety of operational data to simplify these and similar problems.
Join Carlos Pérez-Aradros, Beats Software Engineer, and Brandon Mensing, Beats Senior Product Manager for a live demo and presentation on leveraging the latest features in Beats (including “add metadata” processors, modules, and new autodiscovery features), Elasticsearch, and Kibana can make managing containerized, scheduled, and otherwise automated environments a great experience.
Additional Resources (Related Content)
- Autodiscovery Documentation
- Blog Post
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Brandon manages a variety of cross-product initiatives. Prior to Elastic, he worked at Sumo Logic and Basis Technology. His wide range of interests and background include NLP, ML, AI, robotics, bioinformatics and all things data.
Carlos is a Software Engineer at Elastic, working on Beats. With love for distributed systems, he has experience in many container technologies and focuses on bringing the right tools to monitor them. When he is not coding you may find him playing with home automation and all kinds of gadgets.