OpenSearch · AWS · DashboardsOpenSearch, indexed, secured, observable.
In short: OpenSearch is a community-driven, Apache 2.0-licensed open-source search and analytics engine forked from Elasticsearch 7.10.2 by AWS. Built on Apache Lucene, it provides full-text search, log analytics, and observability with built-in security, alerting, and SQL support across distributed clusters.
OpenSearch consulting for cluster architecture, Elasticsearch migration, performance optimization, enterprise security, and AWS OpenSearch Service operations, with recommendations tied to measured workload evidence.
JUSDB_OPENSEARCH_PRODOpenSearch 2 · 3-node cluster
Apache-2.0 · ES-7.10 compatible API
0.00k
8ms
40%
0.0k/s
[OK] cluster: health GREEN, 24 shards allocated
[INF] shard: rebalance complete, even distribution
[OK] merge: segments 18 → 6 on logs-000042
[INF] ism: rollover hot → warm on metrics-*
Representative cluster view · illustrative metrics
Illustrative operating profile - example fleet and outcome figures, not audited customer results.
0+
Clusters Managed
0.99%
Uptime SLA
0k+
Searches / sec Served
0TB+
Index Size Managed
OpenSearch engineering
Comprehensive OpenSearch managed services covering the full spectrum of search and analytics capabilities. For advisory engagements, see our OpenSearch consulting services.
Cluster Architecture
Design and implement scalable OpenSearch clusters optimized for your workload and growth requirements.
Migration Services
Validated Elasticsearch to OpenSearch migration with compatibility tests, reconciliation, rollback gates, and a controlled cutover.
Performance Tuning
Optimize query performance, indexing throughput, and resource utilization for peak efficiency.
Security Configuration
Implement SAML, LDAP, fine-grained access control, and encryption for enterprise security.
Dashboard Development
Custom OpenSearch Dashboards for visualization, monitoring, and business intelligence.
24/7 Monitoring
Comprehensive cluster health monitoring, alerting, and proactive issue resolution.
OpenSearch expertise
Comprehensive OpenSearch managed services covering the full spectrum of search and analytics capabilities.
Search Performance
Illustrative target12×
Median query speedup
60%
License + cost reduction
Illustrative query optimization scenarios
License risk
Apache-2.0
SSPL licensing + cost concerns on ES 7.11+
The fix
Migrated to ES-7.10-compatible API, zero app rewrite
5,100ms
210ms
Terms agg over high-cardinality field, no doc_values
The fix
Updated mapping with doc_values + keyword sub-field
Uneven
Balanced
1 node held 70% of primaries - CPU pinned
The fix
Shard routing + allocation awareness, rebalanced
0.00%
Cluster Uptime
<0s
Reallocation RTO
0
Active Shards
Resilient by design. Cluster-engineered.
Dedicated cluster-manager nodes, replica shards across availability zones, and cross-cluster replication support availability objectives that are tested with failover drills, measured recovery times, and verified restore procedures.
A red-cluster P1, handled against your support target.
When unassigned shards turn the cluster red or a GC pause stalls ingest, a named OpenSearch engineer responds - not a ticket queue. The response plan covers shard-allocation evidence, staged remediation, rollback criteria, and a blameless postmortem under the contracted response target.
Query latency p99 > 5s - search degrading
Named search engineer in under 15 min, not a ticket queue
Unbounded terms aggregation, no doc_values on field
Updated mapping + doc_values, reindexed online
Aggregation p99 5.1s → 210ms - total 14 min
Pre-Migration Assessment
Elasticsearch → OpenSearch / Amazon OpenSearch
Estimated cutover window: < 15 minutes
Move to OpenSearch with a controlled cutover
Elasticsearch → OpenSearch, or self-managed → AWS OpenSearch Service. We assess the cluster, test compatibility, snapshot-migrate data and plugins, validate in parallel, reconcile source and target, and cut over with documented rollback criteria.
Technologies We Work With
Complete OpenSearch ecosystem and integration tools
OpenSearch FAQs: migration, AWS Service, tuning & security
Common questions about our OpenSearch managed services
What's the difference between OpenSearch and Elasticsearch?
OpenSearch is a community-driven, open-source fork of Elasticsearch 7.10.2, created by AWS after Elastic changed its licensing. OpenSearch uses the Apache 2.0 license and includes features such as security, alerting, and SQL support. The projects have diverged, so API, plugin, mapping, and client compatibility must be checked against the specific source and target versions.
How do you migrate from Elasticsearch to OpenSearch?
Our migration process includes source assessment, version and plugin compatibility testing, snapshot-based migration, configuration mapping, application updates, and parallel-run validation. Record counts, checksums, representative queries, and rollback gates are verified before cutover; the interruption window depends on the source topology and application constraints.
Can you help with AWS OpenSearch Service?
Yes, we specialize in AWS OpenSearch Service including cluster sizing, VPC configuration, fine-grained access control, SAML authentication, UltraWarm and cold storage optimization, and cross-region replication. We help you leverage AWS-managed features while optimizing costs.
What's your approach to OpenSearch performance tuning?
We baseline indexing throughput, search latency, concurrency, heap pressure, and shard behavior before changing shard sizing, lifecycle policies, JVM settings, bulk ingestion, caches, or analyzers. Each change is tested against representative queries and data, so the measured improvement is specific to the workload rather than a promised multiplier.
How do you handle OpenSearch security?
We implement comprehensive security including TLS encryption, role-based access control (RBAC), field-level and document-level security, SAML/OIDC integration, audit logging, and compliance configurations for GDPR, HIPAA, and SOC 2 requirements.
What monitoring do you provide for OpenSearch?
We set up comprehensive monitoring using OpenSearch's built-in tools, Prometheus, and Grafana. This includes cluster health, node metrics, index performance, search latency, ingestion rates, and custom alerting for proactive issue resolution.
OpenSearch information, checked against primary documentation
JusDB reviews technology-specific claims against the vendor or project's official documentation. Performance examples without a linked case study are labeled illustrative; actual results depend on workload, data model, version, topology, infrastructure, and test method.
Technically reviewed by the JusDB Database Reliability Engineering team on .
Explore Our OpenSearch Services
Explore more ways our OpenSearch experts can help with your database infrastructure.