- [Spring Boot](http://projects.spring.io/spring-boot/) - Makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run".
- [Vert.X](http://vertx.io/) - Toolkit for building reactive applications on the JVM.
- [Akka](http://akka.io/) - Toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
- [Erlang/OTP](http://www.erlang.org/doc/design_principles/users_guide.html) - Programming language used to build massively scalable soft real-time systems with requirements on high availability.
- [Camel](http://camel.apache.org/) - Empowers you to define routing and mediation rules in a variety of domain-specific languages, including a Java-based Fluent API, Spring or Blueprint XML Configuration files, and a Scala DSL.
- [ActiveMQ](http://activemq.apache.org/) - Powerful open source messaging and integration patterns server.
- [Apollo](http://activemq.apache.org/apollo/) - Faster, more reliable, easier to maintain messaging broker built from the foundations of the original ActiveMQ.
- [Beanstalk](http://kr.github.io/beanstalkd/) - Simple, fast work queue.
- [Hazelcast](http://hazelcast.org/) - Open source in-memory data-grid. Allows you to distribute data and computation across servers, clusters and geographies, and to manage very large data sets or high data ingest rates. Mature technology.
- [Ignite](https://ignite.incubator.apache.org/) - High-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.
- [Marathon](https://mesosphere.github.io/marathon/) - Deploy and manage containers (including Docker) on top of Apache Mesos at scale.
- [Mesos](https://mesos.apache.org/) - Abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.
- [Hystrix](https://github.com/Netflix/Hystrix) - Latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.
- [Raft Consensus](http://raftconsensus.github.io/) - Raft is a consensus algorithm that is designed to be easy to understand. It's equivalent to Paxos in fault-tolerance and performance.
- [Resilient HTTP](http://resilient-http.github.io/) - A smart HTTP client with super powers like fault tolerance, dynamic server discovery, auto balancing and reactive recovery, designed for distributed systems.
- [Simian Army](https://github.com/Netflix/SimianArmy) - Suite of tools for keeping your cloud operating in top form. Chaos Monkey, the first member, is a resiliency tool that helps ensure that your applications can tolerate random instance failures.
- [Eureka](https://github.com/Netflix/eureka/wiki/Eureka-at-a-glance) - REST based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.
- [SkyDNS](https://github.com/skynetservices/skydns) - Distributed service for announcement and discovery of services built on top of etcd. It utilizes DNS queries to discover available services.
- [ZooKeeper](https://zookeeper.apache.org/) - Open-source server which enables highly reliable distributed coordination.
- [AWS CodeDeploy](http://aws.amazon.com/codedeploy/) - AWS CodeDeploy is a deployment service that enables developers to automate the deployment of applications to instances and to update the applications as required.
- [AWS ECS](http://aws.amazon.com/ecs/) - Easily run and manage Docker-enabled applications across a cluster of Amazon EC2 instances.
- [CoreOS](https://coreos.com/) - Open source lightweight operating system based on the Linux kernel and designed for providing infrastructure to clustered deployments.
To contribute, please, [open an issue](https://github.com/mfornos/awesome-microservices/issues) or [create a pull request](https://github.com/mfornos/awesome-microservices/pulls).