Cluster architecture
- Sizing and topology
- Node roles and failure domains
- Cross-cluster patterns
- Upgrade and migration planning
Build and operate OpenSearch clusters around real ingestion volume, query patterns, retention and recovery requirements.
We cover cluster design, data modelling, pipelines, security, lifecycle management, observability and performance troubleshooting.
Every engagement starts with current-state evidence, explicit assumptions and measurable acceptance criteria. The result is documented so your team can own it.
Choose a focused assessment or combine workstreams into an implementation and enablement programme.
Each stage produces a reviewable result before the next decision.
Goals, workload and constraints.
Design, sizing and acceptance criteria.
Validate on representative data.
Deploy, integrate and migrate.
Documentation and hands-on training.
Operate, measure and improve.
Yes. We assess API, mapping, plugin and licensing differences, then validate data and queries in parallel.
Yes. Repository design, permissions and recovery testing are included when object storage is part of the architecture.
Yes. We analyze workload, shards, JVM, storage, queries and ingestion before recommending changes.