InfoQ Homepage Distributed Systems Content on InfoQ
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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.
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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.
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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.
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.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.
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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.
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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.
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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.
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Microsoft Offers Module to Scale Out Real-time Node.js Applications
A new open-source contribution from Microsoft uses the Windows Azure Service Bus to provide scale out support for real-time Node.js applications. This module, called socket.io-servicebus, connects multiple servers running the popular Socket.IO module. This contribution is yet another example of Microsoft embracing Node.js and integrating it with Microsoft products and services.
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Netflix Hystrix - Latency and Fault Tolerance for Complex Distributed Systems
Netflix has released Hystrix, a library designed to control points of access to remote systems, services and 3rd party libraries, providing greater tolerance of latency and failure. Hystrix features thread and semaphore isolation with fallbacks and circuit breakers, request caching and request collapsing, and monitoring and configuration.
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Architecture, Strategy at Center of First AWS Conference
Last week, 6,000 attendees from around the globe were in Las Vegas, NV for the first-ever Amazon Web Services (AWS) re:Invent conference. InfoQ was there to interview thought leaders and identify the key messages of the conference.
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Google Publishes Paper On Spanner Ushering a Return to Distributed Transactional Semantics
Scalability vs distributed transactional semantics,is no longer a compromise as per Google's research work on Spanner. Spanner's features include non-blocking reads, lock-free read only transactions and atomic schema changes across a globally replicated relational database. The central idea that tackles the latency issues with distributed transactions is the exposure of clock uncertainty.
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VMware vFabric SQLFire Is Both an SQL Distributed Cache and a Datastore
VMware vFabric SQLFire is an in-memory distributed SQL-based cache which can work with a traditional database to persist data to disk.