In this chapter, we have seen essential techniques necessary to take your next Elastic Stack application to production. We have seen various deployment options, including cloud-based and on-premise. We have seen how to use a managed cloud service provider such as Elastic Cloud and have also covered how to self-host Elastic Stack. We have covered some common concerns and decision choices that you will face, whether you self-host or use a managed cloud provider.

Additionally, we have seen various techniques useful in a production-grade Elastic Stack deployment. These include the usage of index aliases, index templates, and modeling time-series data. This is definitely not a comprehensive guide covering all the nuances of running Elastic Stack in production, but we have definitely covered enough for you to comfortably take your next Elastic Stack project to production.

Equipped with all these techniques, we will build a sensor data analytics application in the next chapter, Chapter 10, Building a Sensor Data Analytics Application.