Elastic today announced general availability for Elastic Cloud on Kubernetes, or ECK. This is a version of the popular Elastic data management toolkit specifically designed to run on the container orchestration framework Kubernetes.
Elastic is the developer of Elasticsearch, the open-source search engine that many companies use to search for internal data more easily. Tools around the platform include the Beat and Logstash applications, which are designed to pull data to Elasticsearch. The Kibana data visualisation tool is another example.
These four tools form the core of ECK. Elastic has now added a number of features optimised for Kubernetes that are designed to simplify the day-to-day management of business implementations.
Among other things, ECK enables administrators to set up configurations centrally in an Elasticsearch cluster. It is also possible to do this in multiple clusters if a company’s workload is too heavy for one cluster. There is also a tool for scaling up and down capacity. In addition, there are monitoring possibilities and a built-in backup planning. So these functions are now also available for Elasticsearch for Kubernetes.
ECK works in different environments. Companies can deploy the platform on on-premise Kubernetes clusters, but I’m in Red Hat OpenShift, Amazon Kubernetes Service, Microsoft Azure Kubernetes Service and Google Kubernetes Engine.
Another function that is also included with ECK is a set of default settings that are intended to reduce the risk of data leaks. “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, ” says Anurag Gupta, Elastic Product Manager.