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Moving a Monolithic Application towards a Microservices Architecture

by Jan Stenberg on  Dec 31, 2016

Migrating an existing system towards microservices is very different from building a new micoservices-based system, Joris Kuipers, architect at Trfork Amsterdam, claims in a presentation describing an ongoing process of refactoring a large monolithic application, based on CQRS using Axon framework, towards a microservices architecture.

Start with Events and DDD When Building Microservices

by Jan Stenberg on  Dec 28, 2016 2

Domain-Driven Design (DDD) is a great technique bringing designs closer to the domains we are working in, but too often we make early decisions with a focus on structure, which is not the intention of DDD. Instead we should start with the events in a domain, Russ Miles claims when describing the advantages of going “events-first” when building microservices.

Julien Nioche on StormCrawler, Open-Source Crawler Pipelines Backed by Apache Storm

by Alexandre Rodrigues on  Dec 15, 2016

Julien Nioche, director of DigitalPebble, PMC member and committer of the Apache Nutch web crawler project, talks about StormCrawler, a collection of reusable components to build distributed web crawlers based on the streaming framework Apache Storm. InfoQ interviewed Nioche, main contributor of the project, to find out more about StormCrawler and how it compares to other similar technologies.

Azure Functions Reach General Availability

by Kent Weare on  Dec 10, 2016 2

Microsoft recently announced an addition to its Platform as a Service (PaaS) offering called Azure Functions. Initially launched as a preview service in March 2016, Azure Functions provide developers with an event-driven serverless compute platform that allow organizations to pay for only what they consume.

Microservices and Stream Processing Architecture at Zalando Using Apache Flink

by Srini Penchikala on  Oct 31, 2016 1

Javier Lopez and Mihail Vieru spoke at Reactive Summit 2016 Conference about cloud-based data integration and distribution platform used for stream processing in business intelligence use cases. Their solution is based on technologies such as Flink, Kafka and Elasticsearch.

Stream Processing and Lambda Architecture Challenges

by Alexandre Rodrigues on  Oct 19, 2016 4

Lambda architecture has been a popular solution that combines batch and stream processing. Kartik Paramasivam at LinkedIn wrote about how his team addressed stream processing and Lambda architecture challenges using Apache Samza for data processing. The challenges described are the late arrival of events and the processing of duplicated messages.

Microsoft Open-Sources P Language for Safe Async Event-Driven Programming

by Sergio De Simone on  Oct 12, 2016 1

Microsoft’s recently open-sourced P language aims to make it possible to write safe asynchronous event-driven programs on Linux, macOS, and Windows.

Reactive Summit 2016 Conference: Reactive Microservices and Staging Data Pipelines

by Srini Penchikala on  Oct 08, 2016

Reactive microservices, data center scale operating system (DCOS), and staging reactive data pipelines were the highlighted topics at Reactive Summit 2016 Conference held this week. InfoQ team attended the conference and this post is a summary of the first day's events at the conference.

Confluent Announces Kafka for the Enterprise with Multi-Datacenter Replication

by Srini Penchikala on  Oct 05, 2016

Confluent Enterprise latest version supports multi-datacenter replication, automatic data balancing, and cloud migration capability. Confluent, provider of the Apache Kafka based streaming platform, announced last week the new features for Confluent Enterprise, to help build streaming data pipelines and develop stream processing applications.

Vaughn Vernon on Microservices and Domain-Driven Design

by Jan Stenberg on  Jul 31, 2016

Although a monolith can be modeled in a respectable way, often they are turned into a big ball of mud. This is caused by multiple domain models becoming entangled within the monolith, and in Vaughn Vernon's experience this can happen within a few weeks or months, he claimed in a presentation at the Scala Days conference earlier this year.

Neha Narkhede: Large-Scale Stream Processing with Apache Kafka

by Ralph Winzinger on  Jun 19, 2016

In her presentation "Large-Scale Stream Processing with Apache Kafka" at QCon New York 2016, Neha Narkhede introduces Kafka Streams, a new feature of Kafka for processing streaming data. According to Narkhede stream processing has become popular because unbounded datasets can be found in many places. It is no longer a niche problem like, for example, machine learning.

Eric Evans: Is Domain-Driven Design Beneficial for Software Development?

by Jan Stenberg on  Jun 16, 2016 1

The last couple of years the interest in Domain-Driven Design (DDD) has increased, Eric Evans noted in his keynote at the recent DDD eXchange conference in London. He thinks that we are in a time when developers care more about design, partially because we are working more with distributed systems where models have a higher value.

Comparison of Event Sourcing with Stream Processing

by Jan Stenberg on  May 25, 2016

Event sourcing and CQRS are two patterns that has emerged in the Domain-Driven Design (DDD) community. Stream processing builds on similar ideas but has emerged in a different community, Martin Kleppmann noted in his presentation at the Domain-Driven Design Europe conference earlier this year comparing event sourcing with stream processing.

Azure Stream Analytics Publishing to Power BI Reaches General Availability

by Kent Weare on  May 11, 2016

On Thursday, April 21 Microsoft announced the integration between Azure Stream Analytics and Power BI has reached General Availability (GA). Using this capability, customers can gain real-time insight into their business performance by analyzing in-flight data streams.

A Whole System Based on Event Sourcing is an Anti-Pattern

by Jan Stenberg on  Apr 26, 2016 4

Command Query Responsibility Segregation (CQRS) was never meant to be the end goal of what we are trying to achieve, it is a stepping stone towards the ideas of Event sourcing, Greg Young stated in his presentation at the Domain-Driven Design Europe conference earlier this year. He noted though that just applying CQRS is still a valuable pattern.

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