Even in this field of work, not everything can be perfected 100%. There are always some situations and cases that will force you to go back or even remain in the present spot, despite your wish to keep going forward at your own pace. In this article, we’ll talk about the cold start impact on latency. What is it? How to fight against it? Is there a successful way of avoiding it or not?

Since the beginning of Dashbird, we’ve been conducting user interviews with all the users that take the time to jump on a call with us. One of the most common requests we get is the ability to customise alerts - specifically, what failures you will get notified upon and the ability to set custom alert based on metrics. Today we announce a new part of Dashbird that takes care of that - an incident management platform.

What a year! It started with just me and Mikk, hacking away at our homes with an MVP and a handful of customers. Now, Dashbird is a team of 6 people with a lot of customers, global investors and a vision for the future. Looking back at the year, we’ve had a lot of wins and also our fair share of failures/learning experiences. I’m very excited for the upcoming year, but before we get into that, let’s look back at the year that just ended.

AWS re:Invent, the biggest cloud-computing event of the year, ended on Friday and left behind a slew of exciting new features and products for building serverless applications. Let’s summarize what was announced and how those updates can be significant for you.

Traditionally in white-box monitoring, error reporting has been achieved with third party libraries, that catch and communicate failures to external services and notify developers whenever a problem occurrs. I’m here to argue that for managed services this can be achieved with less effort, no agents and without performance overhead.

Dashbird is now available at AWS Marketplace. This means that now users can subscribe directly through AWS Marketplace and manage the subscription through AWS. You can see the listing and subscribe here.

Serverless is often described as the abstraction to end all abstractions. VMs and standalone containers pale in comparison stateless functions. That pristine distinction between the application’s code and its stateful data is something we all dream of. Scalability, observability and high availability can now be realized on a global scale.

We all know the latest trend in today’s technology and how Machine Learning is changing the way business decisions are made. Machine learning replaces old manual repeatable processes and provides the systems the ability to get into a mode of self-learning without being explicitly programmed.

Since a book series called “… for Dummies” was launched, people have finally come to realize how much they don’t know about the particular area they thought they previously knew about. We’ve all started from somewhere. Self-learning, learning at school or even in the office at our jobs. A breakthrough was achieved when we realized that something absolutely strange to us, became quite familiar.