40+ Native Integrations

Connect Your Entire Stack

CoreLens plugs into every layer of your infrastructure — from cloud providers and container runtimes to databases, queues, CI/CD pipelines, and alerting tools — with zero-config OpenTelemetry auto-instrumentation.

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40+

Integrations

5 min

Setup time

100%

OTel native

Showing 39 integrations

AWS

Cloud

AWS

EC2, Lambda, RDS, S3, and 200+ AWS services with native CloudWatch ingest.

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Cloud

Azure

Azure VMs, AKS, Functions, and Azure SQL with full Azure Monitor bridge.

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GCP

Cloud

GCP

GKE, Cloud Run, BigQuery, and Pub/Sub — unified multi-project observability.

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OCI

Cloud

Oracle Cloud

OCI compute, autonomous databases, and managed Kubernetes monitoring.

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Cloud

DigitalOcean

Droplets, App Platform, managed databases, and Kubernetes clusters.

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K8s

Containers

Kubernetes

Deep cluster insights — pods, nodes, namespaces, and workload health.

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Containers

Docker

Container metrics, logs, and resource utilization from every daemon.

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Nmad

Containers

Nomad

HashiCorp Nomad job monitoring, allocation health, and scheduling telemetry.

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ECS

Containers

ECS

Amazon ECS task, service, and cluster-level telemetry at any scale.

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Containers

Fargate

Serverless container monitoring without managing the underlying host.

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Databases

PostgreSQL

Query performance, slow log analysis, replication lag, and lock contention.

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Databases

MySQL

InnoDB metrics, connection pool utilization, and binary log monitoring.

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SQL

Databases

SQL Server

Execution plans, wait stats, and Always-On availability group health.

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MDB

Databases

MongoDB

Collection stats, index usage, replica set health, and Atlas cluster monitoring.

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Databases

Redis

Key evictions, memory fragmentation, command latency, and Sentinel health.

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Databases

Supabase

Postgres insights, Edge Functions, and Realtime channel monitoring.

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Queues

RabbitMQ

Queue depth, consumer lag, exchange routing, and cluster health.

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AMQ

Queues

Amazon MQ

Managed broker metrics, message throughput, and storage utilization.

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KFK

Queues

Kafka

Topic lag, broker JVM, partition balance, and consumer group offsets.

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SQS

Queues

SQS

Message age, queue depth, DLQ ratios, and inflight message counts.

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GHA

CI/CD

GitHub Actions

Workflow durations, failure rates, queue times, and runner health.

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CI/CD

GitLab CI

Pipeline success rates, job logs, and runner utilization metrics.

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CI/CD

Jenkins

Build queue depth, node availability, and historical trend analysis.

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CI/CD

CircleCI

Orb performance, credit usage, flaky test detection, and pipelines.

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CI/CD

Terraform

Drift detection, plan/apply durations, and state file health.

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Node

Languages

Node.js

Event loop lag, heap usage, libuv thread pool, and V8 GC metrics.

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Languages

Python

GIL contention, memory usage, async task queues, and profiling data.

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JVM

Languages

Java

JVM heap, GC pause times, thread pool saturation, and JMX metrics.

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.NET

Languages

.NET

CLR runtime, ASP.NET request rates, exception tracking, and EF queries.

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PHP

Languages

PHP

FPM pool workers, opcode cache hit ratio, and slow request profiling.

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Languages

Go

Goroutine counts, GC overhead, runtime traces, and pprof integration.

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Monitoring

Prometheus

Scrape existing exporters and enrich with AI anomaly detection.

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Monitoring

Grafana

Embed CoreLens panels in Grafana or import dashboards bidirectionally.

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Monitoring

Datadog

Bridge Datadog metrics and events into CoreLens for unified AI triage.

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OTel

Monitoring

OpenTelemetry

Native OTLP ingest — traces, metrics, and logs from any OTel SDK.

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Alerting

PagerDuty

Auto-escalate incidents, enrich alerts with root cause, and deduplicate noise.

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Alerting

Slack

Rich alert messages with runbook links, inline graphs, and one-click ACK.

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Alerting

Teams

Adaptive card alerts and incident bridges directly in Microsoft Teams.

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Alerting

OpsGenie

On-call routing, escalation policies, and alert tagging driven by CoreLens.

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Zero-Config Setup

Deploy in under 5 minutes

Drop the CoreLens agent into your infrastructure using a single YAML config. OpenTelemetry auto-instrumentation handles traces, metrics, and logs — no code changes needed.

OTLP-native ingestion
Accepts traces, metrics, and logs via gRPC and HTTP.
Auto-discovers services
Kubernetes annotations and labels drive zero-config coverage.
End-to-end encryption
TLS in transit and AES-256 at rest, always on.
Compatible with all OTel SDKs
Works alongside any existing OpenTelemetry instrumentation.
Agent sidecar optional
Run as a DaemonSet, sidecar, or standalone binary.

coreLens-agent.yaml

# coreLens-agent.yaml
apiVersion: corelens.io/v1
kind: AgentConfig
metadata:
  name: production-agent
spec:
  endpoint: https://ingest.corelens.io/v1/otlp
  apiKey: ${CORELENS_API_KEY}
 
  # OpenTelemetry receiver settings
  receivers:
    otlp:
      protocols:
        grpc:
          endpoint: 0.0.0.0:4317
        http:
          endpoint: 0.0.0.0:4318
 
  # Auto-instrumentation
  autoInstrumentation:
    enabled: true
    languages: [nodejs, python, java, dotnet, go]
 
  # Exporters
  exporters:
    corelens:
      compression: gzip
      retry:
        enabled: true
        max_attempts: 5

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