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Yes, serverless monitoring can be configured to monitor applications across different cloud platforms (AWS, Azure, Google Cloud) seamlessly. It aggregates metrics and logs from various services, providing a unified view of your serverless architecture, no matter where it’s deployed.
Serverless monitoring includes features that track API calls, unauthorized access attempts, and vulnerabilities within functions. By monitoring these events, you can detect security risks early and take proactive measures to protect sensitive data and services.
With serverless monitoring, you can trace requests across various functions and services, identify error patterns, and pinpoint root causes quickly. This visibility enables faster debugging and issue resolution, even in complex, distributed serverless environments.
Serverless monitoring helps detect performance bottlenecks, errors, and latency issues in real-time. By providing detailed insights into function-level execution and system interactions, it allows teams to quickly resolve problems, improving application uptime and reliability.
Serverless monitoring can be integrated with other observability tools like APM, log management platforms, and alerting systems, providing a holistic view of your application’s health and performance across different layers.
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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.
Feel assured as we maintain rigorous security protocols, ensuring the safety of your data with every interaction
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