Home > Storage > ObjectScale and ECS > Product Documentation > Deploying the Elastic Stack with Searchable Snapshots and Frozen Tier > Overview
The explosive growth of unstructured data and cloud-native applications has created the demand for scalable cloud storage infrastructure in the modern datacenter. Dell ECS is the third-generation object store platform from Dell Technologies. ECS is designed from the ground up to deliver modern cloud storage API, distributed data protection, and active/active availability spanning multiple data centers.
Elasticsearch® is a distributed, RESTful search and analytics engine capable of storing your data, and includes a smart solution to back up single indices or entire clusters to a remote shared filesystem, S3 or HDFS.
Explosive data growth in customers’ Insight Engines, such as Elastic Stack, have resulted in the adoption of RESTful object storage for less frequently used, yet still searchable data, as a frozen tier. As an industry leader in object storage, ECS fulfills the requirements of an S3 compatible object platform for tiering Elastic data to that frozen tier. Additionally, Elastic’s searchable snapshot feature allows for placement of the replica copy of hot data (shards) to be stored on ECS as a searchable snapshot, which reduces the replica storage costs for highly searched data.
This deployment guide describes how to configure the Elastic Stack components (Elasticsearch, Logstash and Kibana – or ELK) to leverage ECS as both the frozen tier and repository for Searchable Snapshots.
Elastic was populated with access log data from ECS though Syslog to demonstrate how a two-site ECS environment’s data can be ingested, indexed by each VDC, searchable by Elastic, and displayed by means of dashboard widgets in Kibana to visualize the transactional data occurring in the ECS environment.