We help companies succeed with serverless

Dashbird is a serverless monitoring and intelligence platform designed to give organisations the confidence to build and operate complex applications on AWS environment.

Meet the platform

Our story

We are serverless developers first and foremost

Dashbird was born out of our own experiences and the complexities we found when first working with serverless in its early days. By migrating huge stacks to the cloud for the likes of Microsoft, Disney and Salesforce in the early days of serverless technology, we learnt a lot!


Our first-hand lessons taught us the power of observability, continuous checks and maintaining uncluttered, cost-effective applications for high performance and efficient operations. We created Dashbird’s serverless observability platform out of our own need, learnings and mistakes, and our aim is to help you avoid these unnecessary complexities and navigate serverless issues seamlessly.


Our past and present are deeply rooted in building at-scale applications in the cloud, we speak the same language and experience similar issues as you. Serverless (r)evolution is at the very centre of our business and as technology and needs change, our platform and teams adapt.


We are on a mission to accelerate serverless adoption by equipping companies with tools to monitor, debug and optimise their serverless applications. Dashbird is a globally distributed team of software enthusiasts dedicated to building serverless applications.

Team

Investors

Read our blog

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?

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