Monitoring platform for keeping systems up and running at all times.
Full stack visibility across the entire stack.
Detect and resolve any incident in record time.
Conform to industry best practices.
We are very excited to announce that we have officially closed the seed round funding for Dashbird and can now focus solely on building the best serverless observability tool out there.
Dashbird founders, from left: Mikk Kirštein, Taavi Rehemägi and Annika Helendi.
We aim to hire up to 10 new people to widen our product offering and to educate the general public about the benefits of Dashbird and serverless computing in general. We are planning to build out integrations for event sources and to cover all major cloud providers.
Our ambition is to be the best serverless monitoring and debugging platform that offers a lot of value to all the companies that are building serverless systems. We also want to push the serverless movement forward because we believe it will be the next major paradigm shift in cloud computing.
We are also very grateful to work closely together with such a dream-team of investors: Passion Capital, Icebreaker Fund, Ragnar Sass, Martin Tajur, and Andrus Purde. We have already gotten lots of great advice, contacts, and support from all of them and hope to see great co-operation in the future as well. Thank you all for believing in us and making a bet on Dashbird!
Serverless computing is a cloud-computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity.
Dashbird is a serverless monitoring and debugging platform that helps engineers get a centralized overview of all of their lambda functions and increases the reliability of their applications through error tracking.
In this guide, we’ll talk about common problems developers face with serverless applications on AWS and share some practical strategies to help you monitor and manage your applications more effectively.
Today we are announcing a new, updated pricing model and the end of free tier for Dashbird.
In this article, we’re covering 4 tips for AWS Lambda optimization for production. Covering error handling, memory provisioning, monitoring, performance, and more.
Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.
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.