In our quest to learn Elastic Stack, we have covered good ground and have a solid footing in all of its components. We have a solid foundation of the core Elasticsearch with its search and analytics capabilities, and we have covered how to effectively use Logstash and Kibana to build a powerful platform that can deliver analytics on big data. We have also seen how X-Pack makes it easy to secure and monitor big data, generate alerts, and perform graph analysis and machine learning.
Taking the Elastic Stack components to production requires that you are aware of some common pitfalls, patterns, and strategies that can help you run your solution smoothly in production. In this chapter, we will see some common patterns, tips, and tricks to run Elasticsearch, Logstash, Kibana, and other components in production.
We will start with Elasticsearch and...
