forever - A simple CLI tool for ensuring that a given script runs continuously

  •        53

A simple CLI tool for ensuring that a given script runs continuously (i.e. forever).Note: If you are using forever programmatically you should install forever-monitor.



Related Projects

forever-monitor - The core monitoring functionality of forever without the CLI

  •    Javascript

You can also use forever from inside your own node.js code.There are several options that you should be aware of when using forever. Most of this configuration is optional.

chronos - Fault tolerant job scheduler for Mesos which handles dependencies and ISO8601 based schedules

  •    Scala

Chronos is a replacement for cron. It is a distributed and fault-tolerant scheduler that runs on top of Apache Mesos that can be used for job orchestration. It supports custom Mesos executors as well as the default command executor. Thus by default, Chronos executes sh (on most systems bash) scripts. Chronos can be used to interact with systems such as Hadoop (incl. EMR), even if the Mesos agents on which execution happens do not have Hadoop installed. Included wrapper scripts allow transfering files and executing them on a remote machine in the background and using asynchronous callbacks to notify Chronos of job completion or failures. Chronos is also natively able to schedule jobs that run inside Docker containers.

dkron - Dkron - Distributed, fault tolerant job scheduling system

  •    Go

Dkron is written in Go and leverage the power of distributed key-value stores and serf for providing fault tolerance, reliability and scalability while keeping simple and easily instalable. Dkron is inspired by the google whitepaper Reliable Cron across the Planet and by Airbnb Chronos borrowing the same features from it.

cronsun - A Distributed, Fault-Tolerant Cron-Style Job System.

  •    Go

cronsun is a distributed cron-style job system. It's similar with crontab on stand-alone *nix. The goal of this project is to make it much easier to manage jobs on lots of machines and provides high availability. cronsun is different from Azkaban, Chronos, Airflow.

chronos - Fault tolerant job scheduler that handles dependencies and iso8601 based schedules.

  •    Javascript

Fault tolerant job scheduler that handles dependencies and iso8601 based schedules.

Reliable And Fault Tolerant Network

  •    C

RAFT-Net is a Fault Tolerant Parallel Distributed Framework. Using a Master-Worker scheme, the framework transparently distributes workunits to workers (drones). These workers can join and leave and as such, the network is very flexible. A modified

Data Broker


Data Broker is a Data Access Layer and ORM framework. It is small, easy to use and implements various fault tolerant features. It requires no XML configuration for defining the object relational mapping, just some simple attributes in the data access classes. Developed in C#.

Atomix - Scalable, fault-tolerant distributed systems protocols and primitives for the JVM

  •    Java

Atomix is an event-driven framework for coordinating fault-tolerant distributed systems built on the Raft consensus algorithm. It provides the building blocks that solve many common distributed systems problems including group membership, leader election, distributed concurrency control, partitioning, and replication.

toxy - Hackable HTTP proxy for resiliency testing and simulated network conditions

  •    Javascript

Hackable HTTP proxy to simulate server failure scenarios, resiliency and unexpected network conditions, built for node.js.It was mainly designed for failure resistance testing, when toxy becomes particularly useful in order to cover fault tolerance and resiliency capabilities of a system, especially in disruption-tolerant networks and service-oriented architectures, where toxy may act as MitM proxy among services in order to inject failure.

s4 - Distributed Stream Computing Platform

  •    Java

S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. S4 has been deployed in production systems at Yahoo to process thousands of search queries per second.

synapse - A transparent service discovery framework for connecting an SOA

  •    Ruby

Synapse is Airbnb's new system for service discovery. Synapse solves the problem of automated fail-over in the cloud, where failover via network re-configuration is impossible. The end result is the ability to connect internal services together in a scalable, fault-tolerant way.Synapse solves these difficulties in a simple and fault-tolerant way.

finagle - A fault tolerant, protocol-agnostic RPC system

  •    Scala

A fault tolerant, protocol-agnostic RPC system

liftbridge - Lightweight, fault-tolerant message streams.

  •    Go

Liftbridge provides lightweight, fault-tolerant message streams by implementing a durable stream augmentation for the NATS messaging system. It extends NATS with a Kafka-like publish-subscribe log API that is highly available and horizontally scalable. Use Liftbridge as a simpler and lighter alternative to systems like Kafka and Pulsar or use it to add streaming semantics to an existing NATS deployment. See the introduction post on Liftbridge and this post for more context and some of the inspiration behind it.

godown - Distributed, fault-tolerant key-value storage written in go.

  •    Go

A simple, distributed, fault-tolerant key-value storage inspired by Redis. It uses Raft protocotol as consensus algorithm. It supports the following data structures: String, Bitmap, Map, List. You can find binaries on the Github releases page.

modbus - Fault-tolerant implementation of modbus protocol in Go (golang)

  •    Go

Fault-tolerant, fail-fast implementation of Modbus protocol in Go.

SQL-Server-First-Responder-Kit - sp_Blitz, sp_BlitzCache, sp_BlitzFirst, sp_BlitzIndex, and other SQL Server scripts for health checks and performance tuning

  •    PLpgSQL

You're a DBA, sysadmin, or developer who manages Microsoft SQL Servers. It's your fault if they're down or slow. These tools help you understand what's going on in your server. Everyone here is expected to abide by the Contributor Covenant Code of Conduct.

Akka - Build Concurrent and Scalable Applications

  •    Java

Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM. It helps to write simpler correct concurrent applications using Actors, STM & Transactors. It could scale out on multi-core or multiple nodes using asynchronous message passing. For fault-tolerance it adopts the Let it crash or Embrace failure model to build applications that self-heals, systems that never stop.


  •    Elixir

Elixir provides the joy and productivity of Ruby with the concurrency and fault-tolerance of Erlang. Together, we'll take a guided tour through the language, going from the very basics to macros and distributed programming. Along the way, we'll see how Elixir embraces concurrency and how we can construct self-healing programs that restart automatically on failure. Attendees should leave with a great head-start into Elixir, some minor language envy, and a strong desire to continue exploration. Erlang is a functional language with focuses on concurrency and fault tolerance. It first appeared in 1986 as part of Ericsson's quest to build fault tolerant, scalable telecommunication systems. It was open-sourced in 1998 and has gone on to power large portions of the worlds telecom systems, in addition to some of the most popular online services.