Monitoring Sidekiq using AWS Lambda and CloudWatch | Brandon Hilkert
A few articles ago, I wrote about how to monitor Sidekiq retries using AWS Lambda. Retries are often the first indication of an issue if your application does a lot of background work. As Bark continues to grow, we became interested in how the number of jobs enqueued and retrying trended over time. Using AWS Lambda to post this data to CloudWatch, we were able to visualize this data over time. The
Monitoring Sidekiq Using AWS Lambda and Slack | Brandon Hilkert
It’s no mystery I’m a Sidekiq fan – my background job processing library of choice for any non-trivial applications. My favorite feature of Sidekiq has to be retries. By default, failed jobs will retry 25 times over the course of 21 days. As a remote company, we use Slack to stay in touch with everyone AND to manage/monitor our infrastructure (hello #chatops). We can deploy from Slack (we don’t ge
Using Ruby with ActiveRecord in AWS Lambda
In my previous blog post I described how you can run MRI Ruby on AWS Lambda. In this article I'll guide you through adding gems to the project: first faker, and then the mysql2 gem with activerecord, and finally we will have the Ruby code talk to an RDS instance, all this through an AWS Lambda. I recorded all my changes in this project, feel free to jump in where you want, you'll find commit point
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