What is Tokio and what are its top alternatives?
Top Alternatives to Tokio
HyperHyper.sh is a secure container hosting service. What makes it different from AWS (Amazon Web Services) is that you don't start servers, but start docker images directly from Docker Hub or other registries. ...
ActixIt is a simple, pragmatic and extremely fast web framework for Rust. Actors are objects which encapsulate state and behavior, they communicate exclusively by exchanging messages. ...
RxJSRxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface. ...
AkkaAkka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. ...
NettyNetty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server. ...
Redux ObservableIt allows developers to dispatch a function that returns an observable, promise or iterable of action(s). Compose and cancel async actions to create side effects and more. ...
FinagleFinagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency. ...
OrleansOrleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud. ...
Tokio alternatives & related posts
related Hyper posts
- Really really really fast6
- Very safe3
- Rust3
- Open source2
- Lots of unsafe code3
related Actix posts
- Easier async data chaining and combining6
- Steep learning curve, but offers predictable operations3
- Observable subjects2
- Ability to build your own stream2
- Works great with any state management implementation2
- Easier testing2
- Lot of build-in operators1
- Simplifies state management1
- Great for push based architecture1
- Documentation1
- Steep learning curve3
related RxJS posts
- Great concurrency model32
- Fast17
- Actor Library12
- Open source10
- Resilient7
- Message driven5
- Scalable5
- Mixing futures with Akka tell is difficult3
- Closing of futures2
- No type safety2
- Very difficult to refactor1
- Typed actors still not stable1
related Akka posts
To solve the problem of scheduling and executing arbitrary tasks in its distributed infrastructure, PagerDuty created an open-source tool called Scheduler. Scheduler is written in Scala and uses Cassandra for task persistence. It also adds Apache Kafka to handle task queuing and partitioning, with Akka to structure the library’s concurrency.
The service’s logic schedules a task by passing it to the Scheduler’s Scala API, which serializes the task metadata and enqueues it into Kafka. Scheduler then consumes the tasks, and posts them to Cassandra to prevent data loss.
I decided to use Akka instead of Kafka streams because I have personal relationships at @Lightbend.
- High Performance9
- Easy to use4
- Just like it3
- Limited resources to learn from2
related Netty posts
related Redux Observable posts
- Fast4
- HTTP-friendly3
- Open Source3
related Finagle posts
- Akka.net alternative5
- Async/Await5
- Open source4
- Distributed ACID Transactions4
- Scalable4
- Distributed high-scale computing applications4
- Virtual Actor Model4
- Objects3
- Cross Platform3
- Distributed Locking3
- Fast2