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A Service is a Logical Construct Built by Microservices

by Jan Stenberg on  Mar 31, 2015

A service is a logical construct owning a business capability and made up of internal autonomous components or microservices that together fulfil the responsibilities of the service, Jeppe Cramon suggests continuing a previous series of blog posts clarifying his view on building services around business capabilities and bounded contexts.

Making Sense of Event Stream Processing

by Jan Stenberg on  Mar 22, 2015 1

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).

Uber Unveils its Realtime Market Platform

by João Miranda on  Mar 15, 2015

Matt Ranney, Chief Systems Architect at Uber, gave an overview of their dispatch system, responsible for matching Uber's drivers and riders. Ranney explained the driving forces that led to a rewrite of this system. He described the architectural principles that underpin it, several of the algorithms implemented and why Uber decided to design and implement their own RPC protocol.

A Modern Microservices Architecture

by Jan Stenberg on  Mar 10, 2015

After living with microservices for three years at Gilt we can see advantages in team ownership, boundaries defined by APIs and complex problems broken down. Challenges still exists in tooling, integration environments and monitoring, Yoni Goldberg explained in a presentation at the QCon London conference describing the challenges they encountered moving to a microservices architecture.

Microservices Are Conceptually Too Big

by Jan Stenberg on  Mar 09, 2015 3

Microservices are conceptually too big; they conflate optimizing for organisational and technical factors, but solutions to problems of each type may not fit together very well, Phil Wills, senior architect at The Guardian, explained in a presentation at the QCon London conference promoting thinking about independent services and single responsibility applications, rather than microservices.

Microservices and the Goal of Software Development

by Jan Stenberg on  Mar 08, 2015

The goal of software is to sustainably minimize lead time to positive business impact, everything else is detail, Dan North claimed in a presentation at the QCon London conference describing ways of reasoning about code and how this leads him into an architecture style that may fit microservices.

Building Halo 4, a Video Game, Using the Actor Model

by Jan Stenberg on  Mar 07, 2015 3

When designing and building Halo 4, the next version in a video game series, a new solution was created based on the Actor model implemented by the Orleans framework. Caitie McCaffrey told in a presentation at the QCon London conference talking about the work designing and building the services supporting the new game.

Spring XD 1.1: Simplifying Big Data like Spring Did for Java EE

by Matt Raible on  Mar 05, 2015

Pivotal recently released Spring XD 1.1 GA with new features including stream processing with Reactor, RxJava, Spark Streaming and Python. Additionally support for Kafka, batching and compression with RabbitMQ, and support for container group management when running on YARN are now featured.

Characteristics of Microservices, Applications and Systems

by Jan Stenberg on  Feb 28, 2015

The assumption that a large system must have a single environment, often with a one-to-one mapping between a project’s scope and the system built are challenged today Stefan Tilkov explains when looking into ways to split a large system into smaller parts and comparing the characteristics of systems, applications and microservices.

Google Open Sources MapReduce Framework for C to Run Native Code in Hadoop

by Srini Penchikala on  Feb 25, 2015 1

Google announced last week the release of open source MapReduce framework for C, called MR4C, that allows developers to run native code in Hadoop framework. MR4C framework brings together the performance and flexibility of natively developed algorithms with the scalability and throughput provided by Hadoop execution framework.

Pivotal Open Sources Their Big Data Suite

by Abel Avram on  Feb 19, 2015 8

Pivotal has decided to open source core components of their Big Data Suite and has announced the Open Data Platform, an initiative promoting open source and standardization for Big Data.

Project Pachyderm Aims to Build a "Modern" Hadoop on Docker

by Matt Kapilevich on  Feb 17, 2015 3

Project Pachyderm Aims to Build "Modern" Hadoop using Docker and CoreOS.

Project Myriad: Mesos and YARN Working Together

by Boris Lublinsky on  Feb 14, 2015 1

An article by Jin Scott - A tale of two clusters: Mesos and YARN – describes hardware silos created by using different resource managers on different hardware clusters, most popular being Mesos and Yarn and introduces Myriad – a solution allowing to run a YARN cluster on Mesos.

Apache Hive 1.0 Released, HiveServer2 Becomes Main Engine, Stable API Defined

by Mikio Braun on  Feb 11, 2015

Apache Hive has released version 1.0 of their project on February 6th, 2015. Originally planned as version 0.14.1, the community voted to change the version numbering to 1.0.0 to reflect the amount of maturity the project has reached.

CoreOS Shipped the First Stable Version of etcd

by Janakiram MSV on  Jan 31, 2015

CoreOS announced the availability of etcd 2.0, the first stable version of the open source distributed key-value store.

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