Apache Camel

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Apache Kafka

Apache Airflow is a community created workflow management platform. The software is both free and open-source, and can be used to reduce complexity in organizations workflow. Apache Airflow is modular by nature, and has an architecture that makes it easy to customize to organizations specific needs. The software was was first developed at Airbnb to where it was used to programmatically author and schedule their workflows, allowing the organization to monitor them via the built-in Airflow dashboard.

With Apache NiFi you can automate the flow of data between software systems. Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. Apache NiFi is highly configurable and provides an intuetive web-based user inferface that can be used to control and monitor your data flow. The software is developed by the Apache Foundation and released free and open-source under the Apache License 2.0.

With RabbitMQ your applications gets a common platform to send and receive messages, and your messages a safe place to live until received. Allowing your application to handle long-running or blocking tasks, and respond quickly to requests instead of being forced to perform computationally intensive tasks on the spot. The software is developed and released as open-source and is currently the most widley used free and open-source message-broker. Commercial, enterprise releases of RabbitMQ is also avalible for a subscription fee.

Raygun is an application monitoring and performance insight tool that helps you and your team to proactively find, diagnose and fix software errors and performance problems. Raygun is trusted by thousands of innovative organizations that use the tool to ship better experiences to their customers.

Over 1 million developers across 60,000 organization use Sentry to diagnose, fix, and optimize the performance of their code. Sentry is a commerical application monitoring platform that allow them to ship better software faster. 

Apache Spark is a free and open-source, unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. With Apache Spark, you can write application quickly in Java, Scala, Python, R, and SQL. Spark also offers over 80 high-level operators that make it easy to build parallel apps. You can run Apache Spark anywhere, as a standalone product, in the cloud or on Hadoop, Apache Mesos or Kubernetes.