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Microservices and Stream Processing Architecture at Zalando Using Apache Flink

by 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 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 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 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 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 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 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 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 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 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 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.

Apache Storm Reaches 1.0, Brings Improved Performance, Many New Features

by on  Apr 14, 2016

Version 1.0 is "a major milestone in the evolution of Apache Storm", writes Apache Software Foundation VP for Apache Storm P. Taylor Goetz, and it includes many new features and improvements. In particular, Goetz claims a 3x–16x boost in performance.

Microservices for a Streaming World

by on  Mar 14, 2016

Embrace decentralization, build service-based systems and attack the problems that come with distributed state using stream processing tools, Ben Stopford urged in his presentation at the recent QCon London conference.

Moving from Transactions to Streams to Gain Consistency

by on  Mar 13, 2016

With many databases in a system they are rarely independent from each other, instead pieces of the same data are stored in many of them. Using transactions to keep everything in sync is a fragile solution. Working with a stream of changes in the order they are created is a much simpler and more resilient solution, Martin Kleppmann stated in his presentation at the recent QCon London conference.

Lagom, a New Microservices Framework

by on  Mar 08, 2016 1

Lightbend, the company behind Akka, has released an open source microservices framework, Lagom built on their Reactive Platform, in particular the Play Framework and the Akka family of products together with ConductR for deployment. By default, Lagom is message-driven and asynchronous, and using distributed CQRS persistence patterns with event sourcing as the primary implementation.

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