You did it. You have machine learning capabilities up and running in your organization. Success! What started as a few nascent experiments (and maybe a few failures) are now carefully constructed models racing along in full production—with the ability to scale into the hundreds or thousands of productional models in sight. Assembling your expert team of data scientists and custodians seems like a distant memory. Now you’re looking ahead to the future—growth, innovation, revenue!

Welcome to the spring Bugfender newsletter. Despite COVID-19 and thanks to being a remote company, we continue working on Bugfender to bring you new updates and features you can take advantage of. Bugfender is now hosted in twin datacenters. With a combination of High Availability and Master-Replica setups, we’re now able to process logs faster than ever and bring the service back up much faster in the unlikely event of datacenter-wide outages.

April 7th, 2020 • By Jon de Andrés Frías In the first part of our series of blog posts on how we remove technical debt using Apache Kafka at Rollbar, we covered some important topics such as: In the second part of the series, we’ll give an overview of how our Kafka consumer works, how we monitor it, and which deployment and release process we followed so we could replace an old system without any downtime.