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.

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