How to run ElasticSearch, Kafka, and Logstash in Kubernetes

Kubernetes has become one of the best choices for running distributed, big data ingestion microservices such as ElasticSearch, Kafka and Logstash. It provides a great deal of flexibility and resilience that make it the ideal hosting platform for a data pipeline. It's not however without it's pitfalls.

Using the DKP Enterprise platform by D2iQ, our EMEA Principal Architect, Dave Whitehouse, gives us his top 5 tips for success using the open source, Day 2 applications that ship with the platform and run straight out of the box.

In this video, learn how to:
0:01:24 1. Organise your federated workspaces and projects for maximum efficiency
0:04:20 2. Apply enterprise grade Role Based Access Control using Dex
0:05:40 3. Codify everything you do so that it's repeatable and resilient to configuration drift
0:09:30 4. Observe your data stack with centralised logging and dashboarding using Prometheus and Grafana
0:16:31 5. Build and deploy custom catalogue applications into your environment to enable your developers to get on with the job of building applications rather than administering Kubernetes.

Interested in a self-hosted free trial on your AWS Account? Visit https://d2iq.com/self-hosted-free-trial

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