featured.jpg

Unavailability is fine. Prepare for it

When I started my career as a software developer and published the first production application what I did was staring at logs and look for some fatal errors. It was a monolith application. Every log saying that something’s wrong had to be fixed. ASAP. This approach worked for some time. However, when the scale increased, and I started building microservices, I couldn’t get rid of all of them. Network issues, database failures, and more - it happens all the time.

featured.jpg

Pointer and value semantics in Go

In Go, we can refer to variables using value or pointers. Sometimes, it’s hard to answer which approach is more suitable. At the first place, you should learn about general rules. Value semantic should be used every time when copying the value make sense in the logic of your code. For example, every value object should be passed by value. If you have a struct Money then it’s possible (and also make sense) to have, at the same time, multiple 10$ in your code.

featured.jpg

What you should know about Go slices

Slice is the most important data structure in Go. When it comes to performance, slices are going to beat any other data structure. They are simple but powerful. However, there are some gotchas you have to keep in mind. Today, I’ll explain how slices work to help you prevent some hard to find bugs and write better code. In Go, arrays have a fixed size. The length is part of the array’s type.

featured.jpg

Using sync.Pool

In the garbage-collected world, we want to keep the GC overhead as little as possible. One of the things we can do is limiting the number of allocations in our application. How to achieve that? There’s sync.Pool which caches allocated but unused items for later reuse. The Pool can become very useful when you have multiple parallel operations that can share the same piece of memory between them. The real power of it is visible when you have frequent allocations and deallocations of the same data structure.