Dashbird

Jan 10, 2019
2017
Tallinn, Estonia
Jan 8, 2019   |  By Taavi Rehemägi
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.
Dec 2, 2018   |  By Taavi Rehemägi
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.
Nov 4, 2018   |  By John Demian
In one of our last articles, we explored how we can deploy Machine Learning models using AWS Lambda. Deploying ML models with AWS Lambda is suitable for early-stage projects as there are certain limitations in using Lambda function. However, this is not a reason to worry if you need to utilize AWS Lambda to its full potential for your Machine Learning project. When working with Lambda functions its a constant worry about the size of deployment packages for a developer.
Oct 19, 2018   |  By Taavi Rehemägi
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.
Oct 16, 2018   |  By Taavi Rehemägi
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.
Dec 27, 2018   |  By Dashbird
Dashbird integrates closely with AWS to bring visibility into serverless applications. By mapping applications resources, importing CloudWatch logs and integrating with AWS X-ray it's able to provide all pillars of observability with no performance overhead or code changes.
Sep 28, 2018   |  By Dashbird
Budapest, Hungary in September of 2018 at EPAM offices. Adnan talking about buzzwords at the Budapest JavaScript Meetup!
Jul 11, 2018   |  By Dashbird
Tallinn, Estonia June 2018 @Lift99
Jul 11, 2018   |  By Dashbird
Follow Adnan on Twitter @adnanrahic