North American clients, delivered by the OpsBreak team
OpenSearch implementations for search and analytics
OpenSearch running in production for client workloads
Context
The OpsBreak team has implemented OpenSearch for clients who needed fast search over their data.
Client details are withheld for confidentiality, so this page describes the work in general terms.
The challenge
Search that works on a small test set can slow down or return poor results once real data and real traffic arrive.
A cluster also needs sizing, security and monitoring to stay healthy after it goes live.
What we did
- 1
Design the indexes
Mappings and analysers are set to match how people search, so results are relevant from the start.
- 2
Size and secure the cluster
The cluster is sized for the data and traffic, with access control and encryption turned on.
- 3
Load the data
Data flows into the indexes through a repeatable ingestion pipeline instead of one-off scripts.
- 4
Monitor it
Dashboards and alerts track cluster health and query speed so problems are caught early.
Results
- OpenSearch running in production for client workloads
- Index design matched to how people actually search
- Monitoring and alerts on cluster health
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