InfoQ Homepage Distributed Systems Content on InfoQ
-
Developing Microservices for the Cloud
When working with Microservices pushing them to the cloud, people often find it difficult to understand the new architecture, it’s a paradigm shift, Daniel Bryant explains in a presentation at the Microservices Conference in London. As a help when designing and implementing cloud microservices Daniel has created the DHARMA principles, the idea being to use them as a checklist.
-
Sharing Data Between Bounded Contexts in Domain-Driven Design
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.
-
“Age of Ascent” Case Study Highlights Cloud as Game Delivery Engine
Microsoft recently published a case study describing how a massively multiplayer online (MMO) game used Microsoft Azure to support tens of thousands of players in a single space battle. The case study looks at how architectural considerations like connectivity, latency, and scale can be addressed in an elastic cloud environment that must respond quickly to unexpected bursts in demand.
-
Rebuilding Wunderlist Using Microservices
Chad Fowler, CTO at 6Wunderkinder, the company behind Wunderlist, describes how they went from a large monolithic Rails application and a large monolithic database to a system with many microservices, and the architecture they ended up with. Starting by adding new functionality as services and splitting the large database into smaller databases, they ended up doing a big rewrite of a new system.
-
Building Distributed Systems - Technology Considerations
The success of the RICON conference is a testimony to the importance of big applications in industry today. InfoQ speaks to RICON host Basho Technologies about considerations in building distributed systems and technical lessons learned at the conference.
-
Basho Technologies Hosts RICON Distributed Systems Conference
Basho Riak is emerging as -the- highly scalable NoSQL database. InfoQ talks with Basho CEO and President Adam Wray, and Peter Coppola - VP of Product, about the RICON conference, and about Basho, Riak, and distributed systems.
-
Leslie Lamport on Distributed Systems and Precise Thinking
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.
-
Microservices vs Shared Libraries
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.
-
Experiences from Failing with Microservices
Different views within the team on the benefits and drawbacks comparing a microservice architecture with a more traditional monolithic architecture was one of the major reasons we failed, Richard Clayton writes sharing his experiences and reasons for failing when implementing and maintaining a microservice architecture.
-
Hypermedia is like Dancing
To take full advantage of the benefits of hypermedia driven systems, the client must allow the server to take the lead and drive the state of the client, Darrel Miller writes comparing with a couple who can dance, one leads and the other just follows, there is no a choreographed sequence of steps defined beforehand.
-
Lessons Learned Building Distributed Systems at Bitly
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.
-
.NET Actor Model Implementations Differ in Approach
Last week Vaughn Vernon published Dotsero, a .NET actor model toolkit that follows the Akka API and earlier this year a preview of the Orleans framework based on the Actor model was released by Microsoft Research. In a recent twitter discussion Vaughn and Sergey Bykov, lead of the Orleans project at Microsoft Research, discussed the different approaches taken in Orleans and Dotsero.
-
Alternatives to Eventual Consistency
Causal Consistency models offer an alternative Eventual Consistency for distributed systems; both models should be weighed against your system's requirements and risk tolerance.
-
Spark Gets a Dedicated Big Data Platform
Spark users can now use a new Big Data platform provided by intelligence company Atigeo, which bundles most of the UC Berkeley stack into a unified framework optimized for low-latency data processing that can provide significant improvements over more traditional Hadoop-based platforms.
-
Design Patterns for Cloud-Hosted Applications
The patterns & practices group at Microsoft have released a guide with solutions and patterns suitable when implementing cloud-hosted applications. The guide contains ten guidance topics together with 24 design patterns targeting eight categories of problems covering common areas in cloud application development. Also included are ten sample applications to demonstrate the usage these patterns.