Elastic Cloud on Kubernetes (ECK) 1.0 Is Now Generally Available
January 15 2020 - 11:51AM
Business Wire
ECK gives users a seamless way of deploying, managing, and
operating the Elastic Stack on Kubernetes
Elastic N.V. (NYSE: ESTC) (“Elastic”), the company behind
Elasticsearch and the Elastic Stack, is excited to announce that
Elastic Cloud on Kubernetes (ECK) is moving out of beta and into
general availability.
As Elastic announced with the alpha release of ECK back in May
2019, the vision for ECK is to provide an official way to
orchestrate Elasticsearch on Kubernetes and provide a SaaS-like
experience for Elastic products on Kubernetes. Kubernetes has
continued to grow in popularity and has become the standard for
orchestrating container workloads, and Elastic has seen a growing
number of users deploying the Elastic Stack on Kubernetes. Elastic
has already taken a number of steps to support container workloads,
such as releasing official Docker images for Elasticsearch and
Kibana, joining the CNCF, and launching Elastic Helm charts.
Bringing ECK into general availability is the exciting next step on
this journey.
The initial alpha release of ECK built on Elastic’s years of
operational knowledge gained from creating Elasticsearch and
Elastic Cloud Enterprise and running the Elasticsearch Service. The
community reception to the first alpha release (and the three early
access releases that followed) has been extremely positive, and
with the general availability of ECK Elastic offers users a
production-ready solution to deploy and streamline the operation of
the Elastic Stack on Kubernetes.
Day 2 operations simplified
When it comes to deploying software, day 1 is easy; day 2 is
more challenging. Built on the Kubernetes Operator pattern, ECK
simplifies many day 2 operations — such as scaling, upgrades, and
configuration management — when managing one or more deployments of
the Elastic Stack on Kubernetes. This reduced operational burden
lets users focus on their business requirements and reduces time to
value from the Elastic Stack.
Notable features include:
- Deploy and manage multiple Elasticsearch clusters, including
Kibana
- Seamless upgrades to new versions of the Elastic Stack
- Simple scaling that allows you to grow with your use cases
- Default security on every cluster
As the creators of Elasticsearch and the rest of the Elastic
Stack, Elastic wants ECK to be the best solution for users looking
to orchestrate Elasticsearch on Kubernetes. Many users have
validated this during the alpha/beta cycles.
“As an early adopter of both Kubernetes and Elastic, we’ve been
excited about testing Elastic Cloud on Kubernetes (ECK) as it will
allow us to streamline our processes for building and operating
Elasticsearch on Kubernetes,” said Michael Lorant, Principal
Systems Engineer at Nine, Australia’s largest locally owned media
company. “With the release of ECK 1.0 GA, we are looking forward to
getting the best features of the Elastic Stack including the
infrastructure UI that provides detailed visibility of our
Kubernetes environment. We are excited to explore further usage of
ECK and Elastic for Kubernetes as it aligns with our strategy of
complete application and cluster observability.”
Curated solutions and exclusive features
ECK gives users the complete Elastic experience on
Kubernetes, including features and capabilities that you can
only get from Elastic — such as APM, Logs, Metrics, SIEM, Canvas,
Lens, machine learning, and index lifecycle management. All
clusters deployed via ECK include these capabilities. Support for
advanced topologies through features like dedicated master and
machine learning nodes and hot-warm-cold deployments lets users
optimize their deployments further for observability and security
use cases.
Elastic has released the core ECK functionality under the
free-forever Basic tier to make these exclusive features and
capabilities available to all users, no matter where they deploy
Elastic products. Users can also access more advanced features
through Elastic’s Enterprise Subscription.
Getting started
ECK is built for flexibility and runs on a variety of Kubernetes
platforms, including Google Kubernetes Engine, Red Hat OpenShift,
Azure Kubernetes Service, Amazon Kubernetes Service, and vanilla
Kubernetes.
It’s also super simple to get started. With a one-line command,
you can deploy ECK into your Kubernetes environment and start
creating clusters in a few minutes. For instructions and more
details, be sure to check out the ECK quickstart page.
Use the Elastic Stack to monitor Kubernetes
The Elastic and Kubernetes story extends well beyond just
running the Elastic Stack on Kubernetes. The Elastic Stack can also
be used to provide comprehensive observability and security
capabilities for Kubernetes and its ecosystem:
- Gain observability in your Kubernetes environment by collecting
logs, metrics, and APM data
- Integrate Envoy proxy and CoreDNS into Elastic SIEM
What’s next?
With the release of ECK 1.0, users now have a strong foundation
to start deploying and managing the Elastic Stack on Kubernetes.
Elastic will continue to build richer experiences on top of ECK,
such as a dedicated UI, first-party API, autoscaling, and more.
Learn More
- Read the ECK release blog post
- Check out the ECK GitHub repository and Discuss forum
- Learn more on the ECK product page
- Get started with ECK
- Read about Elastic’s customers
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 use cases like application search, site search,
enterprise search, logging, APM, metrics, security, business
analytics, and many more.
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.
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Elastic Dan Reidy press@elastic.co
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