Last week-end, we were attending FOSDEM, in Brussels for one of the largest and maybe the largest open source conference over the world with about 8000 attendees from all over the world. Here is our recap.

Instrumental receives a lot of raw data, upwards of 1,000,000 metrics per second. Because of this, we’ve always used an event queue to aggregate the data before we permanently store it. Before switching to AWS Kinesis, this aggregation was based on many processes writing to AWS Simple Queue Service (SQS) with a one-at-a-time reader that would aggregate data, then push it into another SQS queue, where multiple readers would store the data in MongoDB.

The serveless computing becomes super popular among developers. AWS Lambda functions is one of the best serverless compute service. Using Atatus APM, You can start monitoring your functions on AWS Lambda.

In 2016, my side project StatusGator garnered enough paying customers to be profitable. I have wanted to document and share what I’ve learned along the way for months. But doing so requires confronting the reality that my side project is not the runaway success that I had hoped it would be, but rather a useful tool for myself and for others, that can exist forever thanks to the fact that it ekes out a meager profit on paper.

Cron expression support has been the most requested feature, since the launch of healthchecks.io. Long story short, it’s been implemented and is ready to use! You can now set up a time-based schedule for your checks, using the exact same syntax you use in crontab files.