Next generation of Elasticsearch Add-On for Heroku releasededit

The next generation of Elasticsearch Add-On for Heroku is here. This is the most significant redesign of our hosted service since its original inception and it has one goal in mind: To let you solve more use cases with Elasticsearch Add-On for Heroku than ever before.

With our new features, you can:

  • Deploy the Elastic Stack using our new deployment templates. These flexible, customizable templates are designed to fit your use case better, whether it’s search, logging or whatever challenge you can think up for Elasticsearch Add-On for Heroku. Regardless of which template you choose, it’s backed by hardware that is optimized for I/O, CPU, memory, and storage to match the use case.
  • Add machine learning to your deployments to gain insight and predict anomalies. Previously available for the Elastic Stack on-prem, now supported on Elasticsearch Add-On for Heroku.

    Machine learning requires Elasticsearch version 6.3.1 or later, but you can upgrade your deployment to a supported version first and then add machine learning.

  • Deploy a hot-warm architecture with index lifecycle management. Quickly ingest and query current data, while keeping older data around on more cost-effective storage. If you need a complete logging solution, this is it.
  • Deploy Kibana across multiple availability zones with your Elasticsearch cluster and scale Kibana to whatever size you need.
  • Improve the resilience of your deployments by adding dedicated master nodes. Larger-scale deployments get them automatically.

With this redesign, we have also introduced a new, more transparent pricing model and free tier to make getting started even easier.

As before, you can manage hosted Elasticsearch and Kibana from our Elasticsearch Add-On for Heroku console. Our UI might look different with its new sliders, but your existing deployments will continue to work exactly as before.

To find out more, take a look at The Next-Generation Elasticsearch Service: Hot-Warm Clusters, Machine Learning, More Hardware Choices, and New Pricing.

Service release: August 1, 2018