Full-stack monitoring across on-premises infrastructure, cloud workloads, and Kubernetes clusters including metrics, logs, and distributed traces correlated in one platform.
Atatus consolidates metrics, logs, and distributed traces from every layer of your stack, whether it runs in public clouds, private data centres, containers, or on-premise servers, into a single observability platform with correlated context.
Atatus consolidates metrics, logs, and distributed traces from every layer of your stack whether it runs in a public cloud, a private data centre, or on bare-metal servers into a single observability platform with correlated context.
Other tools tell you something is wrong across your hybrid environment. Atatus shows you exactly where, why, and what changed without switching tabs.
One agent install covers on-premises servers, cloud VMs, and Kubernetes nodes. Cloud account integrations for AWS, GCP, and Azure connect in minutes. No per-environment configuration overhead.
Collect infrastructure metrics, distributed traces, and logs from every layer of your hybrid stack without impacting application performance. No sampling, no blind spots, no trade-offs between coverage and cost.
Alerts fire based on the behaviour of your hybrid environment, not generic static thresholds. Get notified when something in your infrastructure genuinely needs attention, not every time a metric twitches.
Per-host pricing means your monitoring cost doesn't explode with data volume. Instrument everything across cloud and on-premises without second-guessing whether a metric or log line is worth the cost to store.
Collect CPU, memory, disk, and network metrics from on-premises servers, cloud VMs, and bare-metal hosts. Every environment visible in a single infrastructure dashboard with consistent tagging across cloud and on-prem.
Follow a single request as it crosses microservices, APIs, and databases spanning on-premises and cloud boundaries. Pinpoint exactly which service and which environment is responsible for latency spikes.
Monitor AWS, Google Cloud Platform, and Azure workloads alongside on-premises infrastructure from one workspace. Eliminate the per-provider tool sprawl that prevents a coherent picture of your infrastructure health.
Aggregate logs from cloud services, on-premises servers, Kubernetes containers, and application runtimes into a single searchable store. Every log line is automatically correlated with the trace and metric that generated it.
Full observability into Kubernetes clusters running on-premises, in EKS, GKE, or AKS. Node health, pod resource utilisation, deployment status, and container performance in one view regardless of where the cluster runs.
Navigate from a triggered alert directly to correlated logs, the distributed trace, and infrastructure health for the affected services. Fix the problem, not the puzzle without leaving the platform or switching tools.
No rip-and-replace. Connects to the tools your team already uses from cloud providers to CI/CD to alerting.
Atatus adapts to how engineering teams work across development, operations, and reliability.
Debug errors and slow paths with the full context of what happened.
Atatus for developersTrack deployments and see how each release affects stability.
Atatus for DevOpsWatch latency and error rates to ship with less production risk.
Atatus for release engineers"Solid Product even better support." The integration path is incredibly simple/easy and the overall interface is very intuitive. That said, I had a handful of odd use cases that the support team was incredibly responsive in helping me work through.
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
Yes. Atatus consolidates infrastructure metrics, distributed traces, log analytics, and real-time alerting from cloud environments and on-premises servers into a single platform. Most teams replace three to six separate monitoring tools when they adopt Atatus for hybrid cloud observability.
Most teams have full coverage across cloud and on-premises infrastructure within the same day. The infrastructure agent installs in under two minutes. Cloud account integrations for AWS, GCP, and Azure connect in around five minutes per provider. Application instrumentation via auto-instrumentation or OpenTelemetry can be completed within an hour.
Yes. Atatus integrates natively with Amazon Web Services, Google Cloud Platform, and Microsoft Azure, collecting cloud-native service metrics alongside on-premises infrastructure telemetry. All data lands in a single workspace with consistent tagging and correlation across every provider.
Atatus propagates trace context headers through every service call regardless of which environment that service runs in. As long as each service — whether on-premises, in AWS, or in GCP is instrumented via the Atatus APM agent or an OpenTelemetry-compatible library, traces cross environment boundaries and are assembled into a complete end-to-end view. You can trace a single request from a cloud API gateway through on-premises microservices and back without any gaps.
Yes. Atatus monitors Kubernetes clusters regardless of where they run, self-managed on-premises clusters, Amazon EKS, Google GKE, or Azure AKS. The Atatus Kubernetes integration deploys as a DaemonSet and collects node, pod, deployment, and container metrics from every cluster. All clusters appear in a unified Kubernetes monitoring view for cross-environment comparison.
The primary source of MTTR in hybrid environments is the time engineers spend assembling context from multiple tools, correlating a metric from one system with a log from another and a trace from a third. When all three signal types are correlated in a single platform, that assembly time drops to near zero. Teams using Atatus for hybrid cloud observability report MTTR reductions of 60–70% compared to operating fragmented tool stacks.
Yes. Atatus is fully compatible with OpenTelemetry SDKs and collectors. If your services are already instrumented with OpenTelemetry, you can point your existing telemetry pipeline to Atatus without re-instrumenting any code. Prometheus metrics are also natively supported, making adoption seamless for teams already invested in open standards.
Atatus natively integrates with AWS, Microsoft Azure, Google Cloud Platform, Kubernetes (EKS, GKE, AKS), Docker, Prometheus, OpenTelemetry, PagerDuty, Slack, Nginx, PostgreSQL, Redis, MySQL, Elasticsearch, and many more. The platform is designed to complement your existing stack rather than replace it.
Start free and send your first trace with OpenTelemetry or the Atatus agents. APM, logs, RUM, infrastructure and SIEM, all on one timeline.