A Critical Look at CQRS

by Jan Stenberg on  Jul 20, 2015 7

Looking at Command Query Responsibility Segregation (CQRS) in a larger architectural context there are other architectural styles available. There are database technologies solving the same problems but in a simpler way, Udi Dahan states looking into ways of approaching CQRS. There is also a way that fulfils a lot of the CQRS goals but with fewer moving parts when CQRS is really needed.

ELIoT: Distributed Programming for the Internet of Things

by Sergio De Simone on  Jul 16, 2015

ELIoT (Extensible Language for the Internet of Things) is a simple and small programming language aiming to make distributed programming easier. A program in ELIoT may appear as a sigle program, but it actually runs on different computers, so, e.g., a variable or function declared on one computer is transparently used on another.

DDD, Events and Microservices

by Jan Stenberg on  Jun 29, 2015 1

To make microservices awesome Domain-Driven Design (DDD) is needed, the same mistakes made 5-10 years ago and solved by DDD are made again in the context of microservices, David Dawson claimed in his presentation at this year’s DDD Exchange conference in London.

Twitter Has Replaced Storm with Heron

by Abel Avram on  Jun 12, 2015

Twitter has replaced Storm with Heron which provides up to 14 times more throughput and up to 10 times less latency on a word count topology, and helped them reduce the needed hardware to a third.

Parquet Becomes Top-Level Apache Project

by Jérôme Serrano on  Jun 11, 2015

Apache Parquet, the open-source columnar storage format for Hadoop, recently graduated from the Apache Software Foundation Incubator and became a top-level project. Initially created by Cloudera and Twitter in 2012 to speed up analytical processing, Parquet is now openly available for Apache Spark, Apache Hive, Apache Pig, Impala, native MapReduce, and other key components of the Hadoop ecosystem.

Stefan Tilkov: Skip the Monolith, Start with Microservices

by Jan Stenberg on  Jun 10, 2015 2

During the last months Martin Fowler among others have claimed that a microservices architecture should always start with a monolith, but Stefan Tilkov is convinced this is wrong, building a well-structured monolith with cleanly separated modules that later may be pulled apart into microservices is extremely hard, if not impossible in most cases.

MemSQL 4 Database Supports Community Edition, Geospatial Intelligence and Spark Integration

by Srini Penchikala on  May 30, 2015

Latest version of MemSQL, in-memory database with support for transactions and analytics, includes a new Community Edition for free use by organizations. MemSQL 4, released last week, also supports integration with Apache Spark, Hadoop Distributed File System (HDFS), and Amazon S3.

Glenn Tamkin on Applying Apache Hadoop to NASA's Big Climate Data

by Srini Penchikala on  May 06, 2015

NASA Center for Climate Simulation (NCCS) is using Apache Hadoop for high-performance data analytics. Glenn Tamkin from NASA team, recently spoke at ApacheCon Conference and shared the details of the platform they built for climate data analysis with Hadoop.

Hortonworks, IBM and Pivotal to Support Open Data Platform in Their Big Data Solutions

by Srini Penchikala on  Apr 24, 2015

Big data vendors Hortonworks, IBM, and Pivotal recently announced that their Hadoop based platform products will use the common Open Data Platform (ODP). They made the announcement at the recent HadoopSummit Europe Conference of the open platform which includes Apache Hadoop 2.6 (HDFS, YARN, and MapReduce) and Apache Ambari software.

Avoid a Canonical Data Model

by Jan Stenberg on  Apr 12, 2015 15

Standardizing on common models for business objects that are exchanged within an enterprise, e.g. Customer, Order and Product together with the attributes and associations they have, might seem compelling but for Stefan Tilkov this creation of Canonical Data Models (CDMs) is a horrible idea which he strongly advices against.

Apache HBase Hits 1.0

by Benjamin Darfler on  Apr 07, 2015

After three developer previews, six release candidates and over 1500 closed tickets the Apache foundation has announced version 1.0 of Apache HBase, a NoSQL database in the Hadoop ecosystem. After more than 7 years of active development, the team behind HBase felt that the project had matured and stabilized enough to warrant a 1.0 version.

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.

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