Deploy the TrimetryAI collector once. It auto-discovers Docker containers, Kubernetes workloads, and Linux hosts — telemetry flows in minutes.
Collect metrics and logs from all running containers. Auto-discovers new containers as they start.
Cluster-wide visibility: nodes, pods, deployments, and namespaces. Works with any managed Kubernetes service.
System-level metrics — CPU, memory, disk I/O, network — for any Linux host, VM, or physical server.
The AWS connector ships 12 purpose-built plugins. Connect your account once and TrimetryAI starts pulling metrics, events, and cost data across your entire AWS footprint.
Instance health, CPU credits, network throughput, and auto-scaling group metrics.
Query latency, connection pools, replication lag, and IOPS for MySQL, PostgreSQL, and Aurora.
Managed Kubernetes control-plane health, worker-node utilization, and pod-level traces.
Cache hit/miss ratios, evictions, replication bytes, and memory fragmentation for Redis and Memcached.
Policy changes, role assumptions, and access-denied events — key signals for security posture.
Send rates, bounce rates, complaint counts, and delivery metrics to keep your email reputation healthy.
Rotation status, access frequency, and failed-retrieval alerts for all managed secrets.
Query execution times, index usage, replication metrics, and connection pool saturation.
Daily and monthly spend by service, reserved-instance utilization, and anomalous cost spikes.
Broker health, queue depth, consumer throughput, and message-age alerts for ActiveMQ and RabbitMQ.
Cluster health, search latency, indexing throughput, JVM pressure, and shard allocation.
Request count, healthy-host ratio, HTTP 5xx rates, and target-response times for ALB and NLB.
The GCP connector ships 9 purpose-built plugins. Connect your project once and TrimetryAI starts pulling metrics, events, and cost data across your entire GCP footprint.
VM instance health, CPU utilization, disk IOPS, and network throughput across all your GCE instances.
Cluster health, node utilization, pod metrics, and namespace resource usage for GKE clusters.
Query latency, connection counts, replication lag, and storage utilization for MySQL and PostgreSQL instances.
Cache hit rates, evictions, memory usage, and replication health for Redis and Memcached instances.
Permission changes, role assignments, and policy audit events — key signals for GCP security posture.
Request rates, latency percentiles, backend health, and HTTP error rates for GCP load balancers.
Secret access frequency, rotation status, and version lifecycle events for all managed GCP secrets.
Daily and monthly GCP spend by project and service, budget alerts, and anomalous cost spike detection.
Time-series metrics for any GCP service via Cloud Monitoring API. Full coverage of your GCP footprint.
We're adding new connectors every sprint. Tell us what you need and we'll prioritize it — or book a demo to see what's already in the pipeline.
Request an IntegrationOr reach us at demo@trimetry.ai