Meet Security & Compliance Standards
0
Downtime
Downtime
Migrations Rolling node upgrades and read-only reindex windows keep production search and log ingestion live through every OpenSearch cutover.
24/7
Managed support
Managed support
JVM heap pressure, shard imbalance, and slow query spikes are resolved before they reach your log monitoring pipelines.
99.99%
Availability goals
Availability goals
Replica allocation, shard rebalancing, and ISM retention policies are tuned for availability under real failure conditions.
2.x
Upgrade ready
Upgrade ready
Deprecated settings scanned, incompatible indexes reindexed, and plugin versions validated before production is touched.
Upgrade OpenSearch Version to 2.x with Ksolves Experts
OpenSearch 1.x is end-of-life. Every vulnerability discovered after May 6, 2025, is permanently unpatched on any cluster still running 1.x. No patches are coming. The exposure grows every day you stay.
Ksolves certified OpenSearch engineers upgrade your cluster to 2.x as a fixed-price engagement. Every engagement is staffed by named experts with hands-on OpenSearch production experience, a written index accuracy guarantee, and a confirmed delivery timeline agreed before work begins. You know exactly what you are getting, and exactly who is delivering it, before you commit to anything.
Why Upgrade OpenSearch Version to 2.x?
Six compounding risks that get worse every day after the OpenSearch 1.x deprecation date of May 6, 2025
Unpatched security vulnerabilities
Every CVE discovered after May 6, 2025, goes permanently unpatched in OpenSearch 1.x, making your log pipelines and search clusters a direct entry point for breaches.
Compliance and audit exposure
SOC 2, PCI-DSS, and HIPAA auditors flag EOL software. Running OpenSearch 1.x can void cyber insurance and block certification renewals.
Plugin and ingestion breakage
Beats 7.13 and later, Logstash output plugins, and Fluent Bit integrations are dropping 1.x support. Your ingestion pipelines will break without a planned OpenSearch upgrade service.
Blocked AI and ML readiness
OpenSearch 2.x delivers neural search, semantic vector queries, and k-NN with Faiss. None of these capabilities is available in OpenSearch 1.x at any patch level.
Growing operational debt
Every new index created in a 1.x cluster adds to your future reindex scope. The mandatory reindex step costs less to execute now than under incident pressure later.
Shrinking migration window
Complex OpenSearch upgrades take 2 to 8 weeks. The deprecation date has passed, and AWS Extended Support fees are already running. Starting late raises cost and risk.
Still Running OpenSearch 1.x? Upgrade It Now
Our certified search engineers review your cluster, flag every
compatibility gap,
and hand you a written OpenSearch version
upgrade plan at no cost.
Our OpenSearch Upgrade Services
Every Ksolves OpenSearch upgrade is scoped upfront, delivered by certified engineers, and backed by a verified rollback strategy.
OpenSearch 1.x to 2.x upgrade
OpenSearch 1.x deprecation in May 2025 left every cluster without a security patch pipeline. Ksolves runs compatibility assessment, mandatory reindex execution, and plugin alignment before cutover, ensuring your upgrade to OpenSearch 2.x version is delivered without production disruption.
Self-hosted OpenSearch to Amazon OpenSearch Service
Amazon OpenSearch Service introduces IAM access policies, VPC boundaries, and S3-backed snapshot workflows. Ksolves executes pre-upgrade eligibility checks, migrates access control configurations, and validates every index post-restore before decommissioning your source cluster as part of a managed OpenSearch upgrade service.
OpenSearch to OpenSearch Serverless
OpenSearch Serverless requires collection-based isolation and IAM data access policies rather than direct cluster management. Ksolves maps your index configuration to serverless collections, migrates ISM policies, and reconfigures ingestion pipelines as part of your OpenSearch version upgrade service engagement.
Elasticsearch to OpenSearch 2.x
OpenSearch preserves backwards compatibility with Elasticsearch 7.10 APIs. Ksolves audits your Elasticsearch version, executes the intermediate hop where required, and reindexes all pre-2.x indexes, and converts X-Pack security configuration to OpenSearch fine-grained access control to complete your upgrade to OpenSearch 2.x version.
Ingestion pipeline migration and cleanup
Production 1.x clusters accumulate stale indexes, over-allocated shards, and Beats pipelines that have dropped support for 1.x. Ksolves migrates to Fluent Bit or Data Prepper, right-sizes shard allocation, and implements ISM retention policies to prevent the problem from recurring after your OpenSearch version upgrade service completes.
Our OpenSearch Upgrade Services
Every Ksolves OpenSearch upgrade is scoped upfront, delivered by certified engineers, and backed by a verified rollback strategy.
OpenSearch 1.x to 2.x upgrade
OpenSearch 1.x deprecation in May 2025 left every cluster without a security patch pipeline. Ksolves runs compatibility assessment, mandatory reindex execution, and plugin alignment before cutover, ensuring your upgrade to OpenSearch 2.x version is delivered without production disruption.
Self-hosted OpenSearch to Amazon OpenSearch Service
Amazon OpenSearch Service introduces IAM access policies, VPC boundaries, and S3-backed snapshot workflows. Ksolves executes pre-upgrade eligibility checks, migrates access control configurations, and validates every index post-restore before decommissioning your source cluster as part of a managed OpenSearch upgrade service.
OpenSearch to OpenSearch Serverless
OpenSearch Serverless requires collection-based isolation and IAM data access policies rather than direct cluster management. Ksolves maps your index configuration to serverless collections, migrates ISM policies, and reconfigures ingestion pipelines as part of your OpenSearch version upgrade service engagement.
Elasticsearch to OpenSearch 2.x
OpenSearch preserves backwards compatibility with Elasticsearch 7.10 APIs. Ksolves audits your Elasticsearch version, executes the intermediate hop where required, and reindexes all pre-2.x indexes, and converts X-Pack security configuration to OpenSearch fine-grained access control to complete your upgrade to OpenSearch 2.x version.
Ingestion pipeline migration and cleanup
Production 1.x clusters accumulate stale indexes, over-allocated shards, and Beats pipelines that have dropped support for 1.x. Ksolves migrates to Fluent Bit or Data Prepper, right-sizes shard allocation, and implements ISM retention policies to prevent the problem from recurring after your OpenSearch version upgrade service completes.
OpenSearch 1.x vs OpenSearch 2.x
A direct comparison of what you have today against what the upgrade to OpenSearch 2.x version delivers, powered by Ksolves OpenSearch upgrade services.
| Capability | OpenSearch 1.x | OpenSearch 2.x |
|---|---|---|
| Community support | Deprecated May 6, 2025 | Security patches, active maintenance |
| Security patches | Permanently stopped at EOL | Continuous, community-maintained |
| Neural and semantic search | Not available | Native Neural Search with ML models |
| k-NN engine | NMSLIB only | Faiss default, better scale, and performance |
| Alerting monitors | Basic per-query monitors only | Composite monitors, document-level alerts |
| Concurrent search | Not available | Concurrent segment search across shards |
| Index compatibility | Blocks 2.x upgrade without reindex | Fully compatible within the 2.x family |
| Plugin compatibility | Beats 7.13 and later already breaking | Fluent Bit, Logstash, and Data Prepper are current |
OpenSearch 1.x
Deprecated May 6, 2025
OpenSearch 2.x
Security patches, active maintenance
OpenSearch 1.x
Permanently stopped at EOL
OpenSearch 2.x
Continuous, community-maintained
OpenSearch 1.x
Not available
OpenSearch 2.x
Native Neural Search with ML models
OpenSearch 1.x
NMSLIB only
OpenSearch 2.x
Faiss default, better scale, and performance
OpenSearch 1.x
Basic per-query monitors only
OpenSearch 2.x
Composite monitors, document-level alerts
OpenSearch 1.x
Not available
OpenSearch 2.x
Concurrent segment search across shards
OpenSearch 1.x
Blocks 2.x upgrade without reindex
OpenSearch 2.x
Fully compatible within the 2.x family
OpenSearch 1.x
Beats 7.13 and later already breaking
OpenSearch 2.x
Fluent Bit, Logstash, and Data Prepper are current
Our OpenSearch 1.x to 2.x Migration Process
Every deliverable is backed by certified search engineers and a written index accuracy guarantee as part of every OpenSearch version upgrade service engagement.
Environment audit (Days 1 to 3)
OpenSearch version, cluster topology, plugin versions, and full index inventory are documented to identify every reindex candidate. Every ISM policy, alerting monitor, and anomaly detector is flagged. Beats, Logstash, and Firehose compatibility verified against the target 2.x version.
Compatibility analysis (Days 3 to 5)
Every index categorised as reindex required, reindex optional, or no action needed. Query regression risk assessment run across search templates and alerting queries. Output: written compatibility gap report and reindex execution plan ranked by blocking, recommended, and informational severity.
Upgrade runbook (Days 5 to 7)
Step-by-step runbook covering reindex sequence, node upgrade order, plugin coordination, ISM policy re-attachment, and rollback triggers. AWS pre-upgrade eligibility steps are included where applicable. Reviewed and signed off with your team before staging begins.
Staging validation (Days 7 to 14)
Full reindex and rolling upgrade executed against staging. Document counts, query results, alerting monitor behaviour, and ingestion throughput validated against OpenSearch 1.x baselines. Production cutover does not proceed without a clean pass and written sign-off from your team.
Production cutover
Source indexes locked read-only, reindex executed with document count validation, then rolling node upgrade with data nodes first and cluster manager last. Typically under 2 hours of write-lock impact. Tested rollback path maintained throughout. Live call with your team from start to finish.
Post-migration monitoring (48 to 72 hours)
Cluster health, search latency, JVM heap, shard rebalancing, and alerting fire rates are monitored post-cutover. OpenSearch upgrade service engagement closes with a written handover document covering what changed, key metrics to watch, and recommended next steps for your team.
Our OpenSearch 1.x to 2.x Migration Process
Every deliverable is backed by certified search engineers and a written index accuracy guarantee as part of every OpenSearch version upgrade service engagement.
Environment audit (Days 1 to 3)
OpenSearch version, cluster topology, plugin versions, and full index inventory are documented to identify every reindex candidate. Every ISM policy, alerting monitor, and anomaly detector is flagged. Beats, Logstash, and Firehose compatibility verified against the target 2.x version.
Compatibility analysis (Days 3 to 5)
Every index categorised as reindex required, reindex optional, or no action needed. Query regression risk assessment run across search templates and alerting queries. Output: written compatibility gap report and reindex execution plan ranked by blocking, recommended, and informational severity.
Upgrade runbook (Days 5 to 7)
Step-by-step runbook covering reindex sequence, node upgrade order, plugin coordination, ISM policy re-attachment, and rollback triggers. AWS pre-upgrade eligibility steps are included where applicable. Reviewed and signed off with your team before staging begins.
Staging validation (Days 7 to 14)
Full reindex and rolling upgrade executed against staging. Document counts, query results, alerting monitor behaviour, and ingestion throughput validated against OpenSearch 1.x baselines. Production cutover does not proceed without a clean pass and written sign-off from your team.
Production cutover
Source indexes locked read-only, reindex executed with document count validation, then rolling node upgrade with data nodes first and cluster manager last. Typically under 2 hours of write-lock impact. Tested rollback path maintained throughout. Live call with your team from start to finish.
Post-migration monitoring (48 to 72 hours)
Cluster health, search latency, JVM heap, shard rebalancing, and alerting fire rates are monitored post-cutover. OpenSearch upgrade service engagement closes with a written handover document covering what changed, key metrics to watch, and recommended next steps for your team.
Every day on OpenSearch 1.x is a day your
cluster runs exposed;
upgrade to
OpenSearch 2.x and fix that permanently.
Frequently Asked Questions
Everything you need to know before choosing us.
An OpenSearch upgrade service covers end-to-end delivery of a production version upgrade: environment audit, reindex execution, plugin migration, staging validation, and production cutover. Ksolves handles every stage, so your team does not need to build that expertise in-house.
Inventory all indexes by creation version, reindex those created in 1.x, verify plugin versions match the target 2.x minor exactly, then execute a rolling node upgrade with data nodes first and cluster manager last. Ksolves includes every step in a structured 6-phase OpenSearch version upgrade service before production is touched.
Indexes created in 1.x are not compatible with 2.x. Skipping reindex before you upgrade to OpenSearch 2.x version leaves indexes in UltraWarm or cold storage permanently immovable. Deletion becomes the only option. Ksolves treats reindex execution as a mandatory first phase.
Yes. Ksolves runs 1.x and a validated 2.x staging cluster in parallel before any production change. Reindex runs with write locks during low-traffic windows, typically under 2 hours. Search remains live throughout. A tested rollback path is maintained from start to finish.
Small clusters: 2 to 3 weeks. Larger environments with complex ISM policies and custom pipelines: 4 to 8 weeks. Every Ksolves OpenSearch version upgrade service starts with a 5-day audit that produces a firm timeline before you commit.
Environment audit, reindex plan and execution, upgrade runbook, staging validation, production cutover, and 48 to 72 hours of post-upgrade monitoring. Every engagement includes a named team, a fixed price, and a written index accuracy guarantee before work begins.
Amazon OpenSearch Service, self-hosted Kubernetes or bare metal, OpenSearch Serverless, and Elasticsearch 7.x to OpenSearch 2.x migration. Ingestion pipeline migration from Beats to Fluent Bit or Data Prepper is included in every Ksolves OpenSearch upgrade service engagement.
