Effortlessly integrate telemetry data from metrics, logs, and traces to simplify data aggregation across your entire stack, enabling holistic insights into system performance and behavior.
Unified MetricsThree pillars of observability integrated into a single platform ensure that each log message, metric data point, and trace span are enriched with contextual information, facilitating seamless correlation between different data types for faster root cause analysis and more effective problem resolution.
Correlate DataCorrelating diverse data sources—from logs to tracing to transactions—in Atatus with OpenTelemetry (OTEL) empowers precise root-cause analysis. By providing rich context and correlation between different data types, the integration reduces mean time to resolution (MTTR) by revealing complex dependencies and patterns, ultimately enhancing troubleshooting efficiency.
PartnerUsers can seamlessly ingest telemetry data from any OTEL-compatible source, whether it's a microservice on Kubernetes or a legacy monolithic app, ensuring consistent collection across the stack. Plus, with Atatus as an OpenTelemetry Adoption Partner, instrumenting everything becomes effortlessly streamlined.
Standard ApproachStandardized metrics, logging, and tracing instrumentation streamline collaboration, simplify onboarding, and ensure consistent monitoring across diverse microservices architectures, enabling teams to proactively address performance bottlenecks, enhance system resilience, and deliver more reliable applications to end-users.
OpenTelemetry is a set of APIs, libraries, and agents that aims to provide a standardized way to instrument, generate, collect, and export telemetry data for cloud-native software. It allows developers to instrument their applications to collect metrics, traces, and logs, which can then be exported to various backends for analysis and visualization.
Integrating OpenTelemetry with Atatus allows users to leverage Atatus's powerful monitoring and analytics platform to gain comprehensive visibility into their applications and infrastructure. Benefits include:
To get started, you'll need to instrument your applications using the OpenTelemetry SDK for your programming language. Then, configure the OpenTelemetry exporters to send data to Atatus. Atatus provides documentation and guides to help with the integration process.
Yes, OpenTelemetry with Atatus can be used in multi-cloud and hybrid cloud environments. You can instrument your applications running in various cloud providers or on-premises environments and send the telemetry data to Atatus for centralized monitoring and analysis.
OpenTelemetry automatically instruments your applications to capture distributed traces, including context propagation across service boundaries. When exporting traces to Atatus, OpenTelemetry ensures that the trace context is preserved and propagated to provide end-to-end visibility into distributed transactions.
OpenTelemetry is designed to minimize resource utilization and performance overhead when instrumenting applications for monitoring with Atatus. Instrumentation libraries and exporters are optimized for efficiency, and you can configure sampling rates and resource limits to control the impact on application performance and resource consumption.
Atatus supports a wide range of products across various domains to help organizations monitor and optimize their systems and applications.
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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