Collect observability data from any infrastructure, plus deep cloud service monitoring. Start with AWS — expand anywhere.
Deploy the InfraWatch Agent on any server — cloud, container, or bare metal. Powered by OpenTelemetry, stored in ClickHouse.
Container logs, resource metrics, and lifecycle events. Auto-discover running containers and collect telemetry.
Pod, node, and namespace telemetry via the OTel agent. Deploy as a DaemonSet for full cluster observability.
System CPU, memory, disk, and network metrics from any Linux server. Install the agent anywhere — any cloud or on-prem.
Native monitoring for the AWS services you rely on. Live status, CloudWatch metrics, and resource data — built as open-source plugins.
Instance status, CPU/memory metrics, network I/O, and disk utilization across all EC2 instances in your account.
Database connections, IOPS, replication lag, storage usage, and slow query detection for RDS instances.
Cluster health, node status, pod metrics, and namespace resource usage for EKS clusters.
Cache hit rates, memory usage, evictions, and replication group health for Redis and Memcached clusters.
IAM user and role inventory, access key age tracking, MFA status, and policy analysis.
Email sending metrics, bounce and complaint rates, delivery statistics, and SES reputation dashboard.
Secret rotation tracking, access patterns, expiration monitoring, and usage audit across your secrets inventory.
Cluster health, connections, storage utilization, and replication monitoring for DocumentDB instances.
Cost breakdowns by service, account, and region. Budget tracking, anomaly detection, and spend trend analysis.
Cluster health, indexing rates, search latency, JVM metrics, and shard distribution for OpenSearch domains.
Broker health, queue depth, message throughput, consumer lag, and connection metrics for ActiveMQ and RabbitMQ.
ALB, NLB, and CLB metrics including request counts, latency, healthy/unhealthy targets, and connection tracking.
Bucket sizes, object counts, request metrics, and storage class distribution across S3 buckets.
Invocation counts, duration, error rates, throttles, and cold start metrics for Lambda functions.
Queue depth, message age, dead-letter queue tracking, and throughput metrics for SQS queues.
Task and service monitoring for containerized workloads running on ECS and Fargate.
Request counts, latency, error rates, and throttling metrics for REST and HTTP APIs.
We are actively adding new integrations. Let us know what you need and we will prioritize it.