In this demo video we show 3 very important lifecycle management operations with Robin Hyper-Converged Kubernetes Platform on a ELK (Elasticsearch, Logstash, Kibana) cluster. Provisioning followed by scaling and then cloning and time travel.
The Open Source Elastic Stack
Reliably and securely take data from any source, in any format, and
search, analyze, and visualize it in real time.
ELK Cluster – Elasticsearch, Kibana, Logstash
Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management.
The Heart of the Elastic Stack
Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.
Elasticsearch Is Fast.
Really, Really Fast.
When you get answers instantly, your relationship with your data changes. You can afford to iterate and cover more ground.
Being this fast isn’t easy. We’ve implemented inverted indices with finite state transducers for full-text querying, BKD trees for storing numeric and geo data, and a column store for analytics.
And since everything is indexed, you’re never left with index envy. You can leverage and access all of your data at ludicrously awesome speeds.
Kibana gives shape to your data and is the extensible user interface for configuring and managing all aspects of the Elastic Stack.
Your Window into
the Elastic Stack
Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack, so you can do anything from learning why you’re getting paged at 2:00 a.m. to understanding the impact rain might have on your quarterly numbers.
Visualize your data. Navigate the Elastic Stack.
Ingest any data, from any source, in any format.
Logstash is a dynamic data collection pipeline with an extensible plugin ecosystem and strong Elasticsearch synergy.
Centralize, Transform & Stash Your Data
Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite “stash.”
Be Curious. Ask Your Data Questions of All Kinds.
Elasticsearch lets you perform and combine many types of searches — structured, unstructured, geo, metric — any way you want. Start simple with one question and see where it takes you.
Step Back and Understand the Bigger Picture.
It’s one thing to find the 10 best documents to match your query. But how do you make sense of, say, a billion log lines? Elasticsearch aggregations let you zoom out to explore trends and patterns in your data.