Press release

Elasticsearch on Kubernetes: A New Chapter Begins

Sponsored by Businesswire

KubeCon — Elastic N.V. (NYSE: ESTC), the company behind
Elasticsearch and the Elastic Stack, announced Elastic Cloud on
Kubernetes (ECK), a new orchestration product based on the Kubernetes
Operator pattern that lets users provision, manage, and operate
Elasticsearch clusters on Kubernetes.

Over the past few years, Kubernetes has emerged as the de facto standard
for orchestrating containers and applications running in them. The trend
is no different in the Elasticsearch community. Elastic Cloud on
Kubernetes delivers on Elastic’s promise to be where their users are,
providing users with the best possible solutions to deploy and operate
Elastic products on their platform of choice.

From releasing official
Docker images
for Elasticsearch and Kibana to modifying Beats to
collect logs and metrics from the ephemeral pods and daemonsets,
Elastic’s journey with Kubernetes goes way, way back. Last December,
Elastic doubled down on this commitment by joining
the CNCF and launching Helm Charts
. ECK is a natural next step —
albeit a big one — in Elastic’s commitment to making it easier for users
to deploy and operate Elastic products and solutions in Kubernetes

An Elasticsearch Operator, but so much more

Built on the Kubernetes Operator pattern, ECK installs into a Kubernetes
cluster and goes beyond just simplifying the task of deploying
Elasticsearch and Kibana on Kubernetes. It focuses on streamlining all
those critical Elasticsearch operations, such as:

  • Managing and monitoring multiple clusters
  • Upgrading to new stack versions with ease
  • Scaling cluster capacity up and down
  • Changing cluster configuration
  • Dynamically scaling local storage (ECK includes Elastic Local Volume,
    a local storage driver)
  • Scheduling backups

But ECK is much more than a Kubernetes Operator. In addition to
automating all the operational and cluster administration tasks, it
focuses on streamlining the entire Elastic Stack on Kubernetes
experience. The vision for ECK is to provide an official way to
orchestrate Elasticsearch on Kubernetes and provide a SaaS-like
experience for Elastic products and solutions on Kubernetes.

Secure by default

All Elasticsearch clusters launched on ECK are secure by default, which
means they have encryption enabled and are protected with a strong
default password right at creation time. This experience aligns with
what users get when using Elasticsearch Service on Elastic Cloud.

Providing this secure-by-default experience in a seamless way was no
easy feat. Read about the latest security changes made on the Elastic
Stack side to make this possible. TL;DR: Starting with version
6.8 and 7.1
, core Elasticsearch security features — TLS encryption,
role-based access control, and file and native authentication — are now

More free features: Canvas, Maps, Uptime, oh my

All clusters deployed via ECK include powerful free features and
capabilities such as frozen indices for dense storage, Kibana Spaces,
Canvas, Elastic Maps, and more. You can even monitor Kubernetes logs and
infrastructure using Elastic Logs and Elastic Infrastructure apps. It’s
the fully featured Elastic Stack experience on Kubernetes that’s only
available from Elastic.

Deploy hot-warm-cold and custom topologies

Hot-warm-cold is a powerful Elasticsearch cluster topology for logging,
metrics, and other time series use cases. It’s a common architectural
pattern to balance long-term storage and performance needs without
breaking the bank. With ECK, users can deploy hot-warm-cold clusters on
Kubernetes, and then easily configure data lifecycle policies using
index lifecycle management (ILM) to move data between node tiers as it

There’s no compression algorithm for experience

When it comes to deploying software, day 1 is easy. Day 2 not so much. A
lot goes into streamlining the operation of a stateful system like
Elasticsearch in a dynamic orchestration framework like Kubernetes. How
do you provide persistent local storage that can dynamically scale?
Elastic is building Elastic Local Volume, an integrated storage driver
for Kubernetes, right into ECK. Best practices like draining a node
prior to scaling down, rebalancing shards as you scale up, and many
more, are baked right in.

Elastic Cloud on Kubernetes builds on Elastic’s years of operational
knowledge as the creators of Elasticsearch and Elastic
Cloud Enterprise
, and operators of the Elastic Elasticsearch
, Elastic’s SaaS service available on AWS and GCP. Elastic
has encoded all that operational experience into how Elasticsearch and
Kibana deployments are orchestrated and operated within Kubernetes.

From ensuring no data loss on configuration changes to zero downtime
when scaling, Elastic left no operational stone unturned when building

Forever free tier

Since the early days of Elasticsearch, Elastic’s goal has always been to
provide new users with a rich getting started experience by packing a
lot of powerful features into the free, default distribution. ECK is no

The default distribution of ECK is forever free. In the spirit of
openness and transparency, Elastic has also made all the source code for
ECK publicly viewable, licensed under the Elastic License, in the
Elastic cloud-on-k8s
GitHub repository

An Enterprise (paid) subscription enables additional features, including
the ability to deploy clusters with advanced features such as field- and
document-level access control, machine learning, graph analytics, and
more. In the future, the Enterprise subscription will also unlock
additional advanced orchestration features.

Official GKE support, with more on the way

This initial alpha launch of ECK supports Google Kubernetes Engine (GKE)
and vanilla Kubernetes version 1.11 and above. ECK is also available via
the Future versions will continue to expand support to
other flavors of Kubernetes. Many customers also want to take advantage
of Elasticsearch on managed Kubernetes across both cloud and on-premise
environments such as GKE. ECK takes care of this with a reliable and
consistent way to run and manage Elasticsearch clusters at scale.

Google Cloud

“Many Google Kubernetes Engine users deploy Elasticsearch and need an
easy and reliable way to run, manage and secure their Elastic clusters
at scale, and ECK helps customers do that. Google’s commitment to open
source since our founding along with our track record of contributing to
and supporting the broader community sets us apart. Having collaborated
with Elastic we are excited to see the benefits our GKE customers will

— Aparna Sinha, Director, Product Management for Kubernetes and

Red Hat

“Having the Elastic Cloud on Kubernetes Operator available on allows developers and Kubernetes administrators access to
a curated solution from Elastic. We look forward to continuing to work
with Elastic to bring more features and capabilities to the Kubernetes

— Julio Tapia, director, Cloud Platforms Partner Ecosystem

Additional information

About Elastic

Elastic is a search company. As the creators of the Elastic Stack
(Elasticsearch, Kibana, Beats, and Logstash), Elastic builds
self-managed and SaaS offerings that make data usable in real time and
at scale for solutions like application search, site search, enterprise
search, logging, APM, metrics, security, business analytics, and many
more. The Elastic Stack is also known as “ELK.”

Elastic and associated marks are trademarks or registered
trademarks of Elastic N.V. and its subsidiaries. All other company and
product names may be trademarks of their respective owners.