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Dashbird app launches new version

The new Dashbird app is bringing your data together for a faster, more secure, and smoother observability experience with team collaboration in mind.

8 Must-Know Tricks to Use S3 More Effectively in Python

The simplicity and scalability of S3 has made it a go-to platform not only for storing objects, but also to host them as static websites, serve ML models, provide backup functionality, and so much more. In this article, we’ll look at various ways to leverage the power of S3 in Python.

Monitoring serverless applications with AWS CloudWatch alarms

Running any application in production assumes reliable monitoring to be in place and serverless applications are no exception. Here’s how to do that.

10x development speed with local serverless debugging

In the development world, the ultimate goal is to increase the business value that you can add to your product. In this article, you’ll find out how to 10x your development speed with local serverless debugging and reach that goal faster.

Can We Solve Serverless Cold Starts?

In this article, we’ll discuss cold starts: what influences serverless startup latency, and how to mitigate its impacts in our applications.

Why You Should Stop Hoarding Metrics

After implementing monitoring you most likely have too many metrics and alerts set up. Now you went from having no insights to having important parts being drowned by noise. What’s the solution?

Explaining boto3: How to Use Any AWS Service with Python

What is boto3 and how to use it? In this article, we’ll look at how boto3 works and how it can help us interact with various AWS services.

The Ultimate Guide to Monitoring Serverless Applications

The good, the bad, and the importance of Monitoring Serverless Applications. Your A-Z from cold starts to logging to Lambda cost and latency.

Debugging with Dashbird: AWS Lambda Process Exited Before Completing Request

The “Lambda Process Exited Before Completing Request” error is mostly related to legacy behavior. Let’s solve it.

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Industry leader in serverless monitoring

Dashbird is a monitoring, debugging and intelligence platform designed to help serverless developers build, operate, improve, and scale their modern cloud applications on AWS environment securely and with ease.

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.