Easily monitor, debug and analyze AWS Lambda errors in Python

Dashbird is the #1 centralized observability platform for automatic debugging, monitoring and alerting for AWS Lambda applications.

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Free log-based monitoring for AWS Lambda in Python

AWS Lambda error handling in Python made quick and easy all in one place. Dashbird gives developers a real-time overview of all Lambda executions, detects errored invocations within them and lets you quickly identify the root cause.
  • Enhanced observability for AWS CloudWatch metrics
  • Proactively monitor AWS Lambda errors through traces and logs
  • Detect trends in and optimize Lambdas
  • Get real-time preconfigured error alerts
  • Get warning alerts to jump in and troubleshoot before anything breaks
  • Search and analyze your Lambda logs quick and easy
  • No code instrumentation needed
  • Forever free to use for smaller infrastructures. Or pick your monthly package based on invocations count
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Get a top level visibility of your data

Get valuable birds-eye-view that becomes a must when you have more than 10 AWS Lambda functions.

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Detect failures automatically

Dashbird finds Lambda errors automatically, alerts you in seconds, and identifies the root cause so that you can jump straight in and fix it.

  • Code exceptions and service-specific failures from logs
  • Critical metric checks for all AWS services covered
  • Warning level notifications for metrics
  • Custom alerts for metrics – stay on top of what matters to you!
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Get insights on how to power-tune your Lambda functions

Dashbird features 70+ continuous checks on your resources based on the five pillars of the AWS Well-Architected Framework and gives you aggregated data reports and actionable advice on what could be improved in your infrastructure.

These checks and suggestions uncover weak-points in your system affecting reliability, security, cost, performance and operational excellence, helping you build a bullet-proof architecture that’s ready to take on added complexity over time.

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Your entire serverless stack in one place

In addition to AWS Lambda functions, Dashbird also covers detailed observability for API Gateways, SQS queues, ECS containers, Kinesis, Step-Functions, and DynamoDB tables.

Access logs, metrics, and tracing data all in one place.

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Easy setup – no configuration needed

  • Fast and seamless setupno code changes required. Just deploy CloudFormation template to your AWS.
  • Dashbird continuously collects and filters your log data to detect failures in your system, that you won’t find anywhere else.
  • Integrating with Slack, email, SNS, and webhooks.
  • Our pricing fits your stack – use Dashbird for free forever for smaller infrastructures, or pick your monthly package based on your invocations count.
  • Start optimizing and cutting costs on your AWS Lambdas written in Python right away.

 

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Automatic debugging, monitoring and troubleshooting for cloud-native applications.

What our customers say

Dashbird gives us a simple and easy to use tool to have peace of mind and know that all of our Serverless functions are running correctly. We are instantly aware now if there’s a problem. We love the fact that we have enough information in the Slack notification itself to take appropriate action immediately and know exactly where the issue occurred.

Thanks to Dashbird the time to discover the occurrence of an issue reduced from 2-4 hours to a matter of seconds or minutes. It also means that hundreds of dollars are saved every month.

Great onboarding: it takes just a couple of minutes to connect an AWS account to an organization in Dashbird. The UI is clean and gives a good overview of what is happening with the Lambdas and API Gateways in the account.

I mean, it is just extremely time-saving. It’s so efficient! I don’t think it’s an exaggeration or dramatic to say that Dashbird has been a lifesaver for us.

Dashbird provides an easier interface to monitor and debug problems with our Lambdas. Relevant logs are simple to find and view. Dashbird’s support has been good, and they take product suggestions with grace.

Great UI. Easy to navigate through CloudWatch logs. Simple setup.

Dashbird helped us refine the size of our Lambdas, resulting in significantly reduced costs. We have Dashbird alert us in seconds via email when any of our functions behaves abnormally. Their app immediately makes the cause and severity of errors obvious.

Dashbird in a nutshell

Bird’s Eye View

Dashbird offers a comprehensive overview of your Lambda functions written in Python by integrating with AWS CloudWatch, while invocation level data is enriched with X-Ray. View metrics instantly on the dashboard to quickly understand traffic trends and performance.

Quick Troubleshooting

Automatically detects failures from Lambda invocations and uses machine learning algorithms for anomaly detection. For any failures, the Error View brings together all relevant detail, such as the full stack trace, occurrence count, and logs, to enable faster and easier troubleshooting.

Automated Alerts

Enable quicker fixes by integrating Dashbird with your Slack channel and email to send alerts as soon as an error occurs. No more nasty surprises for you or your customers.

Optimize Performance

Get insights into account, microservice and function level performance metrics so you can optimize Python functions for better performance and speed.

Made by developers for developers

Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.