AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code. The purpose of Lambda, as compared to AWS EC2, is to simplify building smaller, on-demand applications that are responsive to events and new information. AWS targets starting a Lambda instance within milliseconds of an event. Node.js, Python, Java, Go and C# through .NET Core are all officially supported as of 2016, and other languages can be supported via call-outs. However, some runtimes, such as the Java Virtual Machine, may be slower than others to start. AWS Lambda was designed for use cases such as image or objects uploads to Amazon S3, updates to DynamoDB tables, responding to website clicks or reacting to sensor readings from an IoT connected device. AWS Lambda can also be used to automatically provision back-end services triggered by custom HTTP requests, and “spin down” such services when not in use, to save resources.Now, we provide a comprehensive guide so that you can develop your own Amazon Lambda based applications. We cover a wide range of topics to be able to get your own projects up and running in minimum time. Enjoy!
Apache ActiveMQ is an open source message broker written in Java together with a full Java Message Service (JMS) client. It provides “Enterprise Features” which in this case means fostering the communication from more than one client or server. Supported clients include Java via JMS 1.1 as well as several other “cross language” clients. The communication is managed with features such as computer clustering and ability to use any database as a JMS persistence provider besides virtual memory, cache, and journal persistency. The ActiveMQ project was originally created by its founders from LogicBlaze in 2004, as an open source message broker, hosted by CodeHaus. The code and ActiveMQ trademark were donated to the Apache Software Foundation in 2007, where the founders continued to develop the codebase with the extended Apache community. ActiveMQ employs several modes for high availability, including both file-system and database row-level locking mechanisms, sharing of the persistence store via a shared filesystem, or true replication using Apache ZooKeeper. A robust horizontal scaling mechanism called a Network of Brokers, is also supported out of the box. In the enterprise, ActiveMQ is celebrated for its flexibility in configuration, and its support for a relatively large number of transport protocols.
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