Backend Engineering Problems and Best Practices

B
Backend Engineering Problems and Best Practices
4 posts
When to perform Denormalization ?
Denormalize when the cost of maintaining normalized data becomes more expensive than the cost of storing and maintaining duplicated data. The key is: don't denormalize because a schema "looks too norm
Sep 12, 20264 min read6
When not to run Infrastructure in Docker
Just because you can run something in a container doesn't mean you should. Containers have become the default deployment model for many workloads. And for good reason. They provide consistency, isola
Sep 10, 202610 min read3
Where do you start when you are asked to understand a new backend service?
This is probably one of the first doubts every backend engineer has when they start working on an unfamiliar service. And if you're like me, you probably start here: 👉 REST APIs You open the controll
Sep 7, 20263 min read20
When One Cron Job Becomes Many: Tackling Schedule Duplication
Preventing Duplicate Scheduled Job Execution in Distributed Systems: @Scheduled, ShedLock, and Kubernetes CronJobs
Jun 20, 202612 min read18