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Complete GCP Monitoring for Cloud-Native Applications

Monitor your Google Cloud Platform infrastructure with comprehensive visibility into Compute Engine, Cloud Functions, Cloud Run, and GKE. Track performance, optimize costs, and ensure reliability across your GCP environment with real-time observability.

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Full-Stack Observability for GCP Workloads

End-to-end GCP coverage

Observe workloads running on Compute Engine, GKE, Cloud Run, App Engine, and managed databases with a unified operational view.

GKE workload visibility

Track pod behavior, node performance, and service communication inside Kubernetes clusters without losing application context.

Serverless execution clarity

Maintain visibility into Cloud Functions and Cloud Run executions where infrastructure is abstracted and short-lived.

Distributed request tracing

Follow requests across load balancers, APIs, background services, and data stores throughout GCP.

Application-aware infrastructure

Interpret CPU, memory, and network behavior in the context of real application traffic and workload demand.

Correlated telemetry timelines

Analyze logs, metrics, and traces together through a shared execution timeline during investigations.

Scale-ready observability

Maintain consistent visibility as services autoscale, traffic grows, and regions expand.

Shared operational context

Enable platform, SRE, and backend teams to operate from the same production view without data silos.

Core Platform Features

Centralized Metrics and Service Monitoring

  • Monitor key Google Cloud services including Compute Engine, Cloud Storage, Kubernetes Engine, Cloud APIs, and more to cover your full stack.
  • View real-time performance and health metrics through customizable dashboards tailored to your GCP environment.
  • Configure service-specific metric collection and visualization to focus on what matters most for uptime and reliability.
Teams

Unified Observability for Every Engineering Team

Atatus adapts to how engineering teams work across development, operations, and reliability.

Developers

Trace requests, debug errors, and identify performance issues at the code level with clear context.

DevOps

Track deployments, monitor infrastructure impact, and understand how releases affect application stability.

Release Engineer

Measure service health, latency, and error rates to maintain reliability and reduce production risk.

Milestones that spark performance excellence

Reflections from clients who've achieved unmatched excellence through innovative strategies.

Read customer stories

"Atatus is very modern app that allows us to monitor our application performances", it's interface and the way it reports data is easy to understand. I hope it will have more information for what caused the error, like a funnel.

Salloum E
Salloum E,

Technical Manager

"Excellent production and customer service", Very good APM solution and billing method, friendly to Laravel framework users, and good customer service. The key reason for me to use it is the pricing method

Eugene W
Eugene W,

Chief Technology Officer

"Great product with great support", Super easy to integrate, it automatically hooks into everything. The support team and dev team were also very helpful in fixing a bug and updating the docs.

Tobias L
Tobias L,

Full Stack Engineer

"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.

Wes D
Wes D,

Site Reliability Engineer

Frequently Asked Questions

Find answers to common questions about our platform