My team built and productionized a custom rate limiter in Scala
A year ago, when I was leading a "Digital Platform" team at a large bank, we built and productionized a custom rate limiter in Scala. This is the story of why and how we did it.
A year ago, when I was leading a "Digital Platform" team at a large bank, we built and productionized a custom rate limiter in Scala. This is the story of why and how we did it.
I was recently working on a "Durable Key-Value Store" implementation in ZIO. The implementation was pretty straightforward, but I had to make sure that the log file is not accessed concurrently by multiple fibers. I could have used a Ref
to keep track of the state, but I came across Semaphore
in ZIO and decided to give it a try. I was pleasantly surprised by how easy it was to use. In this post, we will take a look at how to use Semaphore
to implement concurrency control in ZIO.
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In this post, we will see some of ZStream
consumptions patterns by composing multiple ZSink
s together in different ways
ZIO-Streams is a library for purely functional, asynchronous, concurrent stream processing in Scala. It is built on top of ZIO. Additionally, it implements the Reactive Streams specification. This means that ZIO-Streams can be used with other libraries that implement the same specification.
This is an introductory post to ZIO-Streams. I will cover the basics of ZIO-Streams.
This is second post in a series of “Actors using Scala & Akka”. In Part 1, we saw how to create new actors and modify their state by sending messages.
In this articles we will take a look at how to get a reply from actors (i.e.Ask Pattern) and spawning user actors (Spawn protocol) instead of system actors.
Since I am stuck at home due to Covid-19 pandemic. With nothing else to do, I thought the best use of time would be to continue my blog series about actors. In the last article, we saw what are actors, their properties and how these properties can be useful for writing concurrent and stateful applications. It was all theory. In this article, I will demonstrate how to write your first akka actor in scala using IntelliJ IDE. Hop on even if you don’t know scala.
Git supports signing commits with a private key and GitHub (& many other git servers) supports verifying those commits with a public key.
Signed and verified commits are marked as “Verified” by GitHub. This provides a level of verification for the commit.
The actor model of computing was introduced by Carl Hewitt in 1973. This model makes it easy to tackle the problem of concurrency and state management. The model treats an “actor” as a primitive unit of computing.
One of the features of .NET core 3 is “local tools”. While global tools have been a part for .net core since version 2.1, .net core 3 brings local tools. Local tools are exactly like global tools except they are tied to a specific directory unlike global tools which are associated with the whole machine.