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August 18, 2026
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Open source, high-performance, unified observability for the AI ERA

Zero lock-in · resource efficient · high retention

otel_demo_test
Search Services
orders261 reqad363 reqcart17 reqcheckout291 reqfrontend561 reqfrontend-proxy347 reqimage-provider58 reqload-generator426 req
Border Color | Errors
Healthy <1%
Degraded 1–5%
Warning 5–10%
Critical >10%
18 entities
☰ Show types

flagd

Degraded
View Related
×
O2 AI  resolveInt error rate ↑ 38× since 10:52 — probable schema drift on integer flags after flag-eval v2 rollout. Duration P99 breached 600s SLO.
Auto-remediate
Rate req/s
2520151050
10:1010:3010:5011:00
Errors count
43210
10:1010:3010:5011:00
Duration p99
10m6.7m3.3m0ns
10:1010:3010:5011:00
Operations
K8s Node Name
K8s Pod Name
Metrics
Operation ↕
Requests ↕
Errors ↕
P99 ↕
P95 ↕
P75 ↕
flagd.evaluation.v1.Service/Resol…
41
0
100µs
91µs
73µs
flagd.evaluation.v1.Service/Resol…
40
0
1.2ms
93µs
70µs
flagd.ofrep
68
0
1.6ms
1.0ms
131µs
resolveAnyValue
65
0
26µs
11µs
8µs
resolveBoolean
84
0
74µs
55µs
48µs
resolveInt⚠ AI FLAG
77
38
909µs
72µs
48µs
flagd.evaluation.v1.Service/Event…
3
2
600.00s
600.00s
600.00s
Why OpenObserve

Four reasons teams switch

Built for scale, priced for reality

Columnar Parquet storage delivers roughly 40x compression and up to 140x lower storage costs than Elasticsearch. Written in Rust on the DataFusion query engine, OpenObserve queries a petabyte of data in about 2 seconds.

  • 140xlower storage cost vs. Elasticsearch
  • 100xmore performant, up to
  • 2.5 PB/daylargest customer ingestion
How It Works

Complete systemic context, auto-correlated

Observability Layers
Frontend
AI & LLM
API
Application
Database
Network
Infrastructure
Complete systemic context
Auto-correlate
Solutions
Cloud Observability
Kubernetes Observability
LLM Observability
SRE agent
AI assistant
Frontend
Metrics
Logs
Traces
Collect your data
Pipelines
Control your data
Visualizations
Incident
Alerts
Act on your data
Deployment
Outcomes
Lower Costs
Decreased MTTx
Improved Productivity

Plug into your stack

Real User Monitoring (RUM)OpenTelemetryCurlElasticSearchPrometheusVectorFluent BitFluentdFilebeatTelegrafKinesis FirehoseSyslogOpenAI (Python)Anthropic (Python)Google GeminiAmazon BedrockMistralOllamaDeepSeekOpenAI (JS/TS)OpenAI AssistantsAnthropic (JS/TS)CohereGroqHugging FacevLLMTogether AIFireworks AIxAI GrokCerebrasNovitaCometAPIBytePlusLangChainLlamaIndexCrewAIAutoGenSemantic KernelHaystackPydantic AIVercel AI SDKSpring AIDSPySmolagentsInstructorOpenAI AgentsLangGraphMastraTemporalAgnoVoltagentStrands AgentsGoogle ADKAmazon Bedrock AgentCoreAmazon Bedrock AgentsBeeAIClaude Agent SDKDeepAgentsLangServeLiteLLMLiveKitLlamaIndex WorkflowsMicrosoft Agent FrameworkMirascopePipecatQuarkus LangChain4jRagasRestateSwiftideKoogLiteLLM ProxyPortkeyOpenRouterKong GatewayVercel AI GatewayAnannasn8nFlowiseLangflowVapiLobeChatCodename GooseOpen WebUIPromptfooReal User Monitoring (RUM)OpenTelemetryCurlElasticSearchPrometheusVectorFluent BitFluentdFilebeatTelegrafKinesis FirehoseSyslogOpenAI (Python)Anthropic (Python)Google GeminiAmazon BedrockMistralOllamaDeepSeekOpenAI (JS/TS)OpenAI AssistantsAnthropic (JS/TS)CohereGroqHugging FacevLLMTogether AIFireworks AIxAI GrokCerebrasNovitaCometAPIBytePlusLangChainLlamaIndexCrewAIAutoGenSemantic KernelHaystackPydantic AIVercel AI SDKSpring AIDSPySmolagentsInstructorOpenAI AgentsLangGraphMastraTemporalAgnoVoltagentStrands AgentsGoogle ADKAmazon Bedrock AgentCoreAmazon Bedrock AgentsBeeAIClaude Agent SDKDeepAgentsLangServeLiteLLMLiveKitLlamaIndex WorkflowsMicrosoft Agent FrameworkMirascopePipecatQuarkus LangChain4jRagasRestateSwiftideKoogLiteLLM ProxyPortkeyOpenRouterKong GatewayVercel AI GatewayAnannasn8nFlowiseLangflowVapiLobeChatCodename GooseOpen WebUIPromptfoo
MilvusPostHogZapierClaude CodeCogneeExaFirecrawlGradioLibreChatMCP UseMixpanelParallelTrubricsCursorOpencodeOpenAI CodexMCP ServerMCP ClaudeLLM ApplicationsAWSAmazon EC2Application Load BalancerAmazon VPC Flow LogsAmazon CognitoAWS Network FirewallAWS CloudWatch LogsAWS CloudWatch MetricsAmazon RDSAWS LambdaAmazon ECSAWS Route 53AWS WAFAWS API GatewayAmazon CloudFrontAmazon EventBridgeGCP LogsGoogle Cloud RunMicrosoft AzureAzure Activity LogsCloudflareVercelHerokuKubernetesLinuxWindowsNGINXIISOracle WebLogicPostgreSQLMySQLOracle DatabaseSQL ServerMongoDBAmazon DynamoDBCassandraAerospikeRedisSnowflakeApache ZooKeeperDatabricksGitHub ActionsJenkinsAnsibleTerraformApache KafkaRabbitMQNATSApache AirflowCriblMuleSoftMicrosoft 365OktaJumpcloudOpenVPNGoogle WorkspaceFalcoOSQueryNetflowSNPMPythonGo.NET TracingNode.js.NET LogsMilvusPostHogZapierClaude CodeCogneeExaFirecrawlGradioLibreChatMCP UseMixpanelParallelTrubricsCursorOpencodeOpenAI CodexMCP ServerMCP ClaudeLLM ApplicationsAWSAmazon EC2Application Load BalancerAmazon VPC Flow LogsAmazon CognitoAWS Network FirewallAWS CloudWatch LogsAWS CloudWatch MetricsAmazon RDSAWS LambdaAmazon ECSAWS Route 53AWS WAFAWS API GatewayAmazon CloudFrontAmazon EventBridgeGCP LogsGoogle Cloud RunMicrosoft AzureAzure Activity LogsCloudflareVercelHerokuKubernetesLinuxWindowsNGINXIISOracle WebLogicPostgreSQLMySQLOracle DatabaseSQL ServerMongoDBAmazon DynamoDBCassandraAerospikeRedisSnowflakeApache ZooKeeperDatabricksGitHub ActionsJenkinsAnsibleTerraformApache KafkaRabbitMQNATSApache AirflowCriblMuleSoftMicrosoft 365OktaJumpcloudOpenVPNGoogle WorkspaceFalcoOSQueryNetflowSNPMPythonGo.NET TracingNode.js.NET Logs
Product Tour

Every signal, one platform

Real user monitoring

See exactly how real users experience your app — session traces, Core Web Vitals, and errors, correlated with backend traces.

AI and LLM monitoring in OpenObserve

One platform, every workload

Correlate between the environments and signals across various sources with OpenObserve built-in correlation engine.

Full-stack visibility across every cluster

Collect logs, metrics, and traces from pods, nodes, and control planes without managing a separate stack per cluster.

  • Auto-discovery via OpenTelemetry Collector
  • Pre-built Kubernetes dashboards
  • Correlate pod logs with traces instantly
  • Scales with ephemeral, high-cardinality workloads
Explore Kubernetes ObservabilityExplore Kubernetes Observability

Loved by engineering teams everywhere

Ajith Natarajan

2–3 min

To first POC

Lightweight

Minimal footprint

AI vision

Retail analytics platform

[OpenObserve is] super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest.

Ajith Natarajan

Ajith Natarajan

Lead Software Engineer, Radius.ai

Choose the plan that's right for you

From a free cloud trial to enterprise-grade self-hosted deployments, pick the plan that fits your team.

0x
more cost-effective vs. Datadog

9x cost reduction means you can unify your observability into a single platform.

14-day free trial

Cloud Free trial

Fully managed OpenObserve in the cloud. Start with a free trial — no infrastructure to run.