Deep dive into best practices and need-to-knows for error handling in Python AWS Lambdas.
Find and fix errors and anomalies in DynamoDB and learn about the best practice rules.
AWS Step Functions
Error and anomaly detection for AWS Step functions.
Monitor and analyze AWS Kinesis streams.
Monitor SQS queues, identify bottlenecks and issues and pre-empt problems automatically.
Incident detection, optimization and best practice insights for API Gateway.
Catch errors and inefficiencies in Lambda and learn the best practice rules for AWS Lambda
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.
Great UI. Easy to navigate through CloudWatch logs. Simple setup.
Read our blog
Here’s everything you need to know to get started with Dashbird – the complete solution for End-to-End Infrastructure observability, Real-time Error Tracking, and Well-Architected Insights.
The new Dashbird app is bringing your data together for a faster, more secure, and smoother observability experience with team collaboration in mind.
In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print.
This article will explain how to build serverless functions on the primary cloud providers services: Azure and AWS.
This article will cover how the health of your serverless application can be measured and improved.
Data science will evolve further with serverless development. Although there are few sophistications but the general opinion is that as serverless computing matures, so will the development skyrocket.