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The Future of Microservices

by Jan Stenberg on  Dec 01, 2014 2

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.

Microservices as a Service-Oriented Delivery Model

by Jan Stenberg on  Nov 30, 2014 5

Microservices are valuable, but to break things up properly creating the right boundaries we need to understand our business and its processes Jeppe Cramon stated in a presentation at the Microservices Conference in London.

A Critical Look at Microservices for the Enterprise

by Jan Stenberg on  Nov 29, 2014 2

Udi Dahan describes how looking for highly cohesive, loosely coupled microservices, not within a system but over the enterprise, we can end up with a focus on organising services around business capabilities spanning the whole organisation since this is what the business care about.

Developing Microservices for the Cloud

by Jan Stenberg on  Nov 27, 2014 3

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.

Spark Sets New Record in Sort Performance

by Benjamin Darfler on  Nov 26, 2014

Databricks has recently announced a new record in the Daytona GraySort contest using the Spark processing engine. The Daytona GraySort contest is a 3rd party benchmark measuring how fast a system can sort 100 Terabytes of data. Databricks posted a throughput of 4.27 TB/min over a cluster of 206 machines for their official run.

Sharing Data Between Bounded Contexts in Domain-Driven Design

by Jan Stenberg on  Nov 25, 2014 1

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.

Hortonworks Data Platform Makes an Enterprise Push

by Rags Srinivas on  Nov 14, 2014

Hortonworks Data Platform (HDP) version 2.2 with features based around Hadoop and YARN has better support for enterprise features such as security, compliance and so on as well.

“Age of Ascent” Case Study Highlights Cloud as Game Delivery Engine

by Richard Seroter on  Nov 13, 2014

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

by Jan Stenberg on  Nov 08, 2014 3

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.

Microsoft Expands Azure Machine Learning and Real Time Analytics Offering

by Alex Giamas on  Oct 31, 2014

Microsoft recently announced new machine learning capabilities for Microsoft Azure platform. Developers can also create their own web services and publish them to Azure Marketplace. Microsoft also announced availability of Apache Storm for Azure. Azure Stream Analytics, Data Factory and Event Hubs for Azure were all announced in the past few weeks by Microsoft. In this article we explore moreabout

Building Distributed Systems - Technology Considerations

by Victor Grazi on  Oct 31, 2014

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

by Victor Grazi on  Oct 28, 2014

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

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.

Big Data Analytics: Using Hunk with Hadoop and Elastic MapReduce

by Jonathan Allen on  Oct 07, 2014

Hunk is a relatively new product from Splunk for exploring and visualizing Hadoop and other NoSQL data stores. New in this release is support for Amazon’s Elastic MapReduce.

Apache Drill Included in MapR Latest Distribution Release

by Alex Giamas on  Sep 30, 2014

MapR recently announced including Apache Drill in its latest release of MapR distribution. Apache Drill is the open source version of Google’s Dremel. Dremel is the infrastructure on which BigQuery is based upon. Drill is offering a low latency SQL-on-Hadoop interface. While this puts it in the same space as several other technologies around Hadoop, Drill has some unique characteristics setting it

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