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In this blog we鈥檒l cover retry pattern, what it is, when to use it and when to avoid it with an example. What is the Retry Pattern? The Retry Pattern is a strategy where we retry operations on failure. This is to make sure that business-critical oper...
Idempotency, in practical terms, ensures that repeating the same operation, whether due to retries, user error, or network issues, has no unintended side effects. It guarantees that an operation can be safely retried without causing duplicate changes...
In a distributed system, sharing common resources becomes tricky. We need to ensure that the data we're reading is not stale and that updates happen sequentially during concurrent requests. To avoid such issues, one method to maintain consistency is ...
One of the most common issues I see regularly while reviewing code is database queries that can cause concurrency issues. They look clean and innocent but can cause wrong data during race conditions. In this blog, I鈥檒l try to cover some important bat...
Bloom filters are probabilistic data structures used to test whether an element is possibly in a set or definitely not in a set. These data structures are a neat hack to determine if an element is in a set without actually storing the actual data. A ...
In this blog blog, we鈥檒l see how Go generics can be used to write popular JS array methods. Map (Transform each element in a slice) func Map[T any, R any](slice []T, fn func(T) R) []R { result := make([]R, len(slice)) for i, v := range slice ...
In this blog, we cover basic PostgreSQL partitioning methods and theories around them
In this blog, we implement a basic outbox pattern using change data capture (CDC) with Dabezium
In this blog, we have implemented goroutine-safe LRU cache implementation in Go