Logit.io
Platform

OpenSearch as a Service

Fully managed OpenSearch on Logit.io — scalable search and analytics without operational overhead. Expert support and predictable pricing.

managed opensearch
clusterindexesdashboardsalerting
N1
node-1
master · data
green
N2
node-2
data
green
N3
node-3
data · ingest
green
GET logs-prod-*/_search
{ "query": { "match": { "status": 500 } } }
1,284 hits · took 37ms · 3 shards
Indexes
48
Docs
2.1B
Heap
62%

Trusted by engineering teams worldwide

Maersk
Murphy
Ringier
GDS
Guesty
HackerRank
Equal Experts
DevEx
Digitale Medier
xneelo
CAA
Pivotal
Robomed Network
Neoway
Gomo Learning
Department for BEIS
IBM
Broad Institute
The Honest Company
Traels
De Banke
Dofinity
BioCatch
Kainos
Youredi
Flux Music
Goji
Ving
HypSports
Boston Logic
Double Jump

Enterprise-Grade OpenSearch Without the Operational Burden

OpenSearch is a powerful open-source search and analytics suite that enables organizations to ingest, search, visualize, and analyze data from various sources. As a fork of Elasticsearch and Kibana, it provides a robust alternative with strong community support and ongoing development.

Logit.io's OpenSearch as a Service eliminates the complexity of deploying, managing, and scaling OpenSearch clusters. Our fully managed solution provides enterprise-grade security, automatic scaling, and expert support, allowing you to focus on deriving insights from your data rather than managing infrastructure.

What is OpenSearch?

OpenSearch is an open-source search and analytics engine, designed for scalability, speed, and real-time data analysis. It allows users to index, search, and visualize large volumes of data efficiently, making it valuable for tasks such as log analysis, full-text search, and business intelligence. Originally derived from Elasticsearch, it is built on Apache Lucene and maintained by a community of contributors and organizations dedicated to open-source software development.

OpenSearch is an effective solution for observability and can be utilized to store and analyze logs produced by applications, servers, and other components of a system. Also, for metrics monitoring, the tool ingests and analyzes metrics data from numerous sources, such as monitoring agents, applications, and infrastructure components. Lastly, OpenSearch is commonly used to store and examine distributed tracing data generated by observability tools like Jaeger.

clusterindexesdashboardsalerting
N1
node-1
master · data
green
N2
node-2
data
green
N3
node-3
data · ingest
green
GET logs-prod-*/_search
{ "query": { "match": { "status": 500 } } }
1,284 hits · took 37ms · 3 shards
Indexes
48
Docs
2.1B
Heap
62%

OpenSearch as a Service

Unlock the potential of your data with Logit.io's OpenSearch as a Service, your gateway to unlocking powerful observability features tailored to elevate your business to new heights. Dive into real-time analytics, effortlessly scale with your growing data needs, and enjoy seamless integration with our robust ecosystem of tools and technologies.

As an addition to our core OpenSearch as a Service solution, we're constantly bringing on the latest features of OpenSearch as a hosted offering including dashboard notebooks. These notebooks empower you to craft cohesive narratives by seamlessly integrating visualizations with written content using Markdown, SQL, and PPL queries.

In addition to notebooks, you can use reports. OpenSearch reports allow for the sharing of data with individuals external to the OpenSearch platform. Users can export reports to PDF, PNG, and CSV either on-demand or by scheduling them for automated delivery.

With OpenSearch as a Service, you can access advanced search and analytics capabilities, harness the power of machine learning for predictive insights, and streamline your operations with intuitive dashboards and visualizations.

metrics
latency
throughput
errors
p95 latency 84ms · ingest 12.4k/s · error rate 0.08%

Why Choose OpenSearch as a Service?

Managing OpenSearch at scale presents several challenges:

  • Complex cluster configuration and maintenance
  • Resource-intensive scaling as data volumes grow
  • Security implementation and compliance requirements
  • Ongoing updates and version management
  • Performance tuning and optimization

Logit.io's OpenSearch as a Service eliminates these challenges by providing a fully managed solution with enterprise-grade features, automatic scaling, and expert support.

Explore OpenSearch Dashboards | See Log Management Solutions

clusterindexesdashboardsalerting
N1
node-1
master · data
green
N2
node-2
data
green
N3
node-3
data · ingest
green
GET logs-prod-*/_search
{ "query": { "match": { "status": 500 } } }
1,284 hits · took 37ms · 3 shards
Indexes
48
Docs
2.1B
Heap
62%

Features and Benefits of OpenSearch as a Service

  • Fine-grained RBAC and document/index-level restrictions
  • OpenSearch Dashboards, notebooks, and scheduled reports (PDF/PNG/CSV)
  • Multi-tenancy for Dashboards
  • Managed Alerting — 12 rule types, 40+ destinations
  • Full OpenSearch REST API + optional user-credential (RBAC) endpoint (Business/Custom)
  • Hosted OpenSearch MCP for Cursor and Claude (Log Management and Custom)
  • Automatic OpenSearch updates and managed scaling

Explore Hosted OpenSearch | OpenSearch Dashboards | OpenSearch MCP

stack
OpenSearchPrometheusGrafanaJaegerLogstash
$ logit stack status --managed
all services healthy · HA enabled · backups current

OpenSearch Dashboards

Logit.io's OpenSearch as a Service combines OpenSearch Dashboards into a single solution enabling you to quickly deploy reporting dashboards, set up alerts, and embrace all of the best features of OpenSearch.

Leverage the potential of Dashboard Query Language (DQL) to interact directly with your imported data, allowing for faster pinpointing of relevant logs and metrics. With Logit.io's OpenSearch as a Service, begin transforming raw data into visual insights and create intuitive, dynamically updating dashboards that combine charts and tables seamlessly.

Discover OpenSearch Dashboards | Request an OpenSearch Demo

clusterindexesdashboardsalerting
N1
node-1
master · data
green
N2
node-2
data
green
N3
node-3
data · ingest
green
GET logs-prod-*/_search
{ "query": { "match": { "status": 500 } } }
1,284 hits · took 37ms · 3 shards
Indexes
48
Docs
2.1B
Heap
62%

Real-Time Alerting and Notifications

Proactive monitoring matters when unauthorized access, production errors, or metric thresholds need immediate attention. Logit.io’s managed Alerting uses ElastAlert 2 with 12 rule types and 40+ destinations — Slack, Microsoft Teams, PagerDuty, Opsgenie, ServiceNow, Jira, email, SMS, webhooks, and more.

Explore Alerting | Alerting docs

stream
--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"
--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms
--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"
--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421
--:--:-- INFO log.shipped bytes=184032 index=logs-prod
--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit
--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on
--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit
--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started
--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy
--:--:-- WARN queue.backpressure topic=ingest depth=1200
--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512
--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*
--:--:-- INFO retention.policy applied hot=14d warm=30d
--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12
--:--:-- INFO ha.failover check region=eu-west status=ready
--:--:-- INFO request.completed duration_ms=42 route="/api/v1/orders"
--:--:-- WARN latency.spike service=checkout p95=820ms threshold=500ms
--:--:-- INFO trace.exported spans=128 backend=jaeger status="ok"
--:--:-- INFO metric.scrape target=prometheus job=k8s-pods samples=8421
--:--:-- INFO log.shipped bytes=184032 index=logs-prod
--:--:-- WARN auth.failure ip=203.0.113.42 attempts=3 action=rate_limit
--:--:-- INFO alert.routed severity=high channel="#incidents" dedupe=on
--:--:-- INFO dashboard.refresh uid=ops-overview panels=14 cache=hit
--:--:-- ERROR disk.pressure node=worker-3 usage=92% reclaim=started
--:--:-- INFO pipeline.batch size=2048 lag_ms=18 status=healthy
--:--:-- WARN queue.backpressure topic=ingest depth=1200
--:--:-- INFO otel.export endpoint=collector.svc spans_ok=512
--:--:-- INFO search.query hits=1284 took_ms=37 index=logs-*
--:--:-- INFO retention.policy applied hot=14d warm=30d
--:--:-- WARN tls.cert.expiring host=ingest.logit.io days=12
--:--:-- INFO ha.failover check region=eu-west status=ready

OpenSearch API, RBAC credentials & MCP

Automate search and indexing with the OpenSearch REST API on every Logs and OpenSearch stack. For role-scoped human or CI access, enable OpenSearch API user credentials (Business/Custom) so Teams RBAC applies at the API layer.

For AI-assisted investigation, use Hosted OpenSearch MCP to connect Cursor or Claude Desktop to a hosted, read-only endpoint — no local MCP process.

Hosted OpenSearch overview | MCP docs

clusterindexesdashboardsalerting
N1
node-1
master · data
green
N2
node-2
data
green
N3
node-3
data · ingest
green
GET logs-prod-*/_search
{ "query": { "match": { "status": 500 } } }
1,284 hits · took 37ms · 3 shards
Indexes
48
Docs
2.1B
Heap
62%

Logit.io for OpenTelemetry

Logit.io for OpenTelemetry is a secure, compliant, and production-ready implementation of the OpenTelemetry project. It offers consolidated analysis and centralized storage for numerous data types, guaranteeing comprehensive coverage and unified management.

Utilizing Logit.io for OpenTelemetry simplifies the process of instrumenting your applications, enabling you to effortlessly send correlated metrics and traces. Additionally, it gathers metadata from your data sources, streamlining the correlation of application performance data into an intuitive workflow.

Selecting an analysis service that is already compliant with the OpenTelemetry protocol is vital for future-proofing your operations, as all major observability vendors are mandated to support this protocol.

Explore OpenTelemetry Logging | Learn About Jaeger as a Service

metrics
latency
throughput
errors
p95 latency 84ms · ingest 12.4k/s · error rate 0.08%

Start your 14-day free trial

No credit card required. Managed OpenSearch, Prometheus, and Grafana from $25/mo.