Serverless Monitoring

Why Choose Atatus for Serverless Monitoring and Application Optimization?

Comprehensive Serverless Monitoring Platform

Atatus offers an all-in-one serverless monitoring platform, giving you deep visibility into your serverless applications across AWS Lambda, Azure Functions, and Google Cloud Functions. Track every request, response, and workflow to ensure smooth operation.

Real-Time Insights for Serverless Applications

With Atatus, you gain real-time visibility into serverless functions, database queries, function calls, message queues, and third-party calls, enabling instant issue detection. Stay on top of your application’s performance to reduce downtime.

Unified Serverless Observability

Bring together your serverless metrics, logs, and traces in one unified dashboard. Atatus allows you to see a complete picture of your serverless architecture’s health, helping you identify bottlenecks and optimize resource usage.

Gain Insights at the Function Level

Gain detailed visibility into individual functions within your AWS serverless architecture, ensuring optimal performance and reliability.
Monitor function executions in real-time, allowing for immediate detection and resolution of issues before they impact users.
Analyze key performance metrics for each function, identifying bottlenecks and optimizing execution times effectively.
Set up customizable alerts for function errors or latency spikes, empowering teams to act swiftly and maintain seamless operations.

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Comprehensive Request Tracing Across Services

Track requests across multiple services and functions within your serverless environment for complete end-to-end visibility.
Collect contextual information with each trace, enabling better understanding and faster diagnosis of complex interactions.
Visualize how components interact in a distributed serverless architecture, helping teams to pinpoint where issues arise.
Simplify debugging with clear, traceable paths that reveal the journey of requests through your serverless stack.

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Achieve Enhanced Serverless Observability

Achieve a holistic view of your serverless applications, aggregating data from various sources to create comprehensive insights.
Monitor event-driven architectures effectively, ensuring every event is accounted for and analyzed.
Utilize dynamic dashboards that adapt to your serverless applications' behavior, providing real-time updates and insights.
Foster collaboration among teams with shared observability tools, promoting a unified approach to serverless monitoring.

Link Performance Metrics to Business Outcomes

Connect performance metrics to business objectives, ensuring that technical success translates into business value.
Analyze how serverless performance affects user experience and customer satisfaction, driving better business decisions.
Establish performance benchmarks that align with business outcomes, helping teams prioritize their optimization efforts.
Leverage data-driven insights to inform strategic decisions, enhancing both operational and business performance.

Crazy Easy Install, Fast Time to Value

"Installed it to track a Laravel + MySQL app. Installation was insanely fast and easy, way way easier than the others I tried. I've already found a bunch of queries that need to be tuned, so I'm getting a lot of value already. They track absolutely everything, which gives me great insight into my application."

— Aaron F, Product Manager, Resolute Property Tax Solutions

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Crazy Easy Install, Fast Time to Value

— Aaron F, Product Manager, Resolute Property Tax Solutions

FAQs for Serverless Monitoring

1. What is a serverless application?

A serverless application is a cloud-based system where developers focus on writing code while the cloud provider manages infrastructure, scaling, and maintenance. These applications run as serverless functions, executing only when triggered. Common serverless platforms include AWS Lambda, Azure Functions, and Google Cloud Functions.

2. What is Serverless Monitoring?

Serverless monitoring is the process of tracking and managing the performance, health, and operations of serverless applications. It involves monitoring serverless functions, databases, APIs, queues, and other services in real time, allowing you to identify issues, optimize performance, and ensure a smooth user experience.

3. What are the key features of a serverless monitoring tool?

A reliable serverless monitoring platform should include:

Real-Time Monitoring – Tracks execution time, function invocations, and failures.
Distributed Tracing – Links function calls, message queues, database queries, and third-party APIs.
Centralized Log Management – Provides structured logging for better debugging.
Metrics Monitoring – Captures performance metrics such as latency, throughput, and resource consumption.
Error Tracking – Identifies and categorizes errors to streamline troubleshooting.
Automated Alerts – Detects anomalies and notifies teams instantly.

Atatus is the perfect combination of all these features, offering comprehensive monitoring and visibility into your serverless applications to ensure optimal performance and seamless operations.

4. How do you monitor serverless applications effectively?

Best practices for monitoring serverless applications:

Use serverless monitoring tools like Atatus for comprehensive insights.
Set up alerts for cold starts, high latency, and execution failures.
Monitor distributed tracing to track interactions between functions, databases, and external services.
Monitor database queries, function calls, message queues, and third-party APIs to optimize performance.

5. What are the key challenges of monitoring serverless applications, and how does Atatus help?

Monitoring serverless applications presents unique challenges due to their event-driven, distributed nature:

Limited Visibility – Traditional monitoring tools struggle to track short-lived serverless functions.
Cold Start Issues – High latency during initial function execution affects performance.
Distributed Tracing Complexity – Functions rely on external services, requiring detailed tracing of function calls, database queries, and third-party APIs.
Scalability Monitoring – Since serverless functions auto-scale, tracking real-time performance fluctuations is critical.
Error Detection & Debugging – Debugging is difficult without centralized logging and real-time error tracking.

Atatus can help you overcome these challenges by providing unified visibility into your serverless applications, tracking real-time performance across all functions. It enables distributed tracing to connect function calls, database queries, and third-party interactions. Atatus also monitors scaling behavior and cold start latency, ensuring optimal performance. Additionally, it offers centralized error detection and debugging for faster issue resolution.

6. How do you integrate monitoring with serverless frameworks?

To integrate serverless monitoring tools with AWS Lambda, Azure Functions, and Google Cloud Functions:

Enable logging and tracing in cloud provider settings.
Use instrumentation libraries for automatic metric collection.
Set up monitoring dashboards for real-time observability.
Configure alerts based on function execution time, memory usage, and response failures.

You're in good company.

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.

Tobias L

Full Stack Engineer, ClearVoyage

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.

Jan-Paul B

Chief Executive Officer, iSavta

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.

Daniel G

Software Engineer, MYND Management