Structuring data as a stream of events is an idea appearing in many areas and is the ideal way of storing data. Aggregating a read model from these events is an ideal way to present data to a user, Martin Kleppmann claims explains when describing the fundamental ideas behind Stream Processing, Event Sourcing and Complex Event Processing (CEP).
The World Wide Web Consortium (W3C) has published the Pointer Events standard as a recommendation for wide adoption, but its future is in doubt as Apple and Google are refusing to implement it.
The Chromium team announced back in August that Google is no longer working on implementing Pointer Events in Chrome in order to focus on Touch Events. Now they have given control to the Pointer Events polyfill library to jQuery which is hoping to “drive developer adoption of this unified event system” and eventually see “all browsers implement this standard natively.”
Hackathons are events where developers work together during a fixed period to collaboratively develop software. They provide learning opportunities and space for developers and organizations sponsoring the hackathons to network and have some fun.
Microservices are not new ideas and we will over the course of 3-5 years end up rebuilding WS-* the same way Web Services did rebuild all from CORBA unless we learn from our mistakes and improve to prevent them from being made again, Greg Young stated in a presentation at the Microservices Conference in London.
When using Domain-Driven Design (DDD) separating the concerns of a large system into bounded contexts with each context using its own data store there is often a need to share some common data. One way of doing that is to let each context publish events about changes, events that others can listen to, Julie Lerman recently explained in MSDN Magazine.
A common context for Command-Query Responsibility Segregation (CQRS) is a collaborative domain with multiple users working on the same set of data, it is less suitable in domains with only a single user working on a piece of data, Udi Dahan explained when discussing CQRS in an interview.
Leslie Lamport is the author of some of the most cited computer science papers and won a Turing Award in 2013 for his seminal work in distributed and concurrent systems. This is a summary of an interview that Lamport gave to Software Engineering Radio touching themes such as his early work in distributed systems and the importance of precise thinking in programming.
State transitions are an important part of our problem space and should be modelled within our domain, Greg Young states in a recent presentation focusing on basic event sourcing and how CQRS fits in.
Robert C. Martin's advice is to start with shared libraries and a plugin architecture and only when that becomes insufficient consider microservices. Giorgio Sironi argues against this, emphasising how different interactions between microservices are compared to interactions between objects and warns for the cost of retrofitting microservices over an existing code base.
Vaughn Vernon describes a reactive process manager supervising the process of finding the best loan quotes from banks with a focus on the reactive part, using Actor model for the implementation with examples written in Scala using Akka and C# using his recently published Dotsero toolkit.
CQRS and Event Sourcing provide a clear and concise way to build distributed applications that adhere to the reactive manifesto, Duncan DeVore claimed in a recent presentation sharing his experiences building a distributed application using Akka and Scala.
At the Bacon Conference last May, bitly Lead Application Developer Sean O'Connor explained the most relevant lessons bitly developers learned while building a distributed system that handles 6 billions clicks per month.
Last week at the Microsoft Worldwide Partner Conference, Microsoft took the wraps off of Azure Event Hubs. This service – in preview release until General Availability next month – is for high throughput ingress of data streams generated by devices and services. Event Hubs resembles Amazon Kinesis and uses an identical pricing scheme based on data processing units and transaction volume.
DDD and CQRS are great for building scalable software considering concepts like bounded contexts, transaction boundaries and event based communication and is together with Akka a complete platform for building enterprise applications, Pawel Kaczor starts a three-part series building an reactive application based on these concepts.