CQRS as a Style of Thinking

by Jan Stenberg on  Nov 20, 2014 3

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 on Distributed Systems and Precise Thinking

by Sergio De Simone on  Oct 16, 2014

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.

The Basics of Event Sourcing and Some CQRS

by Jan Stenberg on  Sep 30, 2014 1

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.

Microservices vs Shared Libraries

by Jan Stenberg on  Sep 28, 2014 4

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.

Building a Reactive Process Manager Using Actor Model

by Jan Stenberg on  Sep 05, 2014 1

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.

Experiences Building a Reactive Event-Driven CQRS Application

by Jan Stenberg on  Aug 01, 2014

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.

Lessons Learned Building Distributed Systems at Bitly

by Sergio De Simone on  Jul 23, 2014

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.

Microsoft Tackles Internet-of-Things With New Data Stream Processing Service

by Richard Seroter on  Jul 22, 2014 1

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.

Building a Reactive DDD and CQRS Based Application Using Akka

by Jan Stenberg on  Jun 28, 2014

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.

Greg Young: Scheduling for Things to Happen in the Future

by Jan Stenberg on  Jun 23, 2014

Delay of message sending into the future is a very powerful pattern and is often the preferable way of dealing with temporal problems compared to batch job that will run a query on the domain model and update some aggregates, Greg Young explained at the recent DDD Exchange conference in London.

DataTorrent 1.0 Handles >1B Real-time Events/sec

by Abel Avram on  Jun 03, 2014 7

DataTorrent is a real-time streaming and analyzing platform that can process over 1B real-time events/sec.

Microservices: Usage Is More Important than Size

by Jan Stenberg on  May 08, 2014 2

Using size for defining microservices is useless when determining a service responsibility, Jeppe Cramon states in a series of blog posts explaining his view on microservices and the coupling problems he finds in synchronous two-way communication.

Scalability in a Reactive World

by Jan Stenberg on  Apr 28, 2014

We have to maximize locality of reference and minimize contention to make systems scale, Jonas Bonér, creator of the Akka project, stated in a recent presentation about scalability in reactive systems. By using a share nothing architecture, build on an event-driven foundation and adhering to core principles that have been proven to work for ages we can write really scalable systems.

Reactive Streams with Akka Streams

by Bienvenido David on  Apr 21, 2014

Typesafe has announced the early preview of Akka Streams, an open source implementation of the Reactive Streams draft specification using an Actor-based implementation. Reactive Streams is an initiative to provide a standard for asynchronous stream processing with non-blocking back pressure on the JVM. Back pressure in needed to make sure the data producer doesn't overwhelm the data consumer.

Udi Dahan on Event-Driven Architecture and Loosely Coupled Systems

by Jan Stenberg on  Apr 14, 2014

We should build systems more loosely coupled to achieve properties like robustness, resilience and scalability, Udi Dahan emphasizes in a recent presentation discussing how we can model our systems using more event-driven and asynchronous patterns and some of the challenges developers face when introducing these principles and patterns into development.

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