Key Considerations when migrating to Amazon Elasticsearch

Over the last few years, Elasticsearch has gained immense popularity among enterprises of various sizes. Elasticsearch indexes the data as soon as it is ingested and thus, enables the analysis and visualization of data instantly. This makes it one of the best solutions to solve the following use cases:

• Application Performance Monitoring (APM)
• Log Analytics
• Full-Text Search (Google-like search)
• Clickstream Analytics
• Security Analytics

We have observed different enterprises use various options to solve these use cases. For e.g., One organization used Apache Solr + Cassandra to solve its full-text search use case. It used Solr + Cassandra to address multi-region replication with eventual consistency. Another organization used Apache Lucene to solve the search use case as it was the most popular option at that time. Some other organizations use Splunk for log analytics use case.

Lately, we have observed a growing inclination among these enterprises to migrate to Amazon Elasticsearch service. Amazon Elasticsearch service is fully-managed service on AWS which enables the users to focus on their use case and leave the operational and maintenance aspects of the service to AWS.