Achieve detailed visibility into your microservices architecture with Atatus. Monitor dependencies, analyze performance metrics, and streamline troubleshooting with real-time tracing and service-level diagnostics.
Yes, Atatus collects granular performance metrics, such as response times, throughput, and error rates, for each microservice. These metrics help you analyze service performance and make informed decisions to optimize scalability and efficiency.
Distributed tracing in Atatus allows you to follow the lifecycle of a request across multiple microservices. This helps in pinpointing the root cause of performance issues, debugging failed transactions, and optimizing service workflows.
Yes, Atatus seamlessly integrates with containerized environments like Docker and Kubernetes, enabling you to monitor microservices across cloud-native architectures and container orchestration platforms.
Absolutely! Atatus offers configurable alerts based on predefined thresholds like response time, error rates, or resource utilization, ensuring you stay proactive about service-level health.
Atatus is designed to handle large-scale distributed systems. It dynamically adapts to architectural changes, ensuring reliable monitoring and performance insights, even as your microservices ecosystem grows.
You don't have to trust our word. Hear what our customers say!
Atatus is a 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.
Atatus is powerful, flexible, scalable, and has assisted countless times to identify issues in record time. With user identification, insight into XHR requests to name a few it is the monitoring tool we choose for our SPAs.
Atatus continues to deliver useful features based on customer feedback. Atatus support team has been responsive and gave visibility into their timeline of requested features.
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