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Overview of the Reliable Event Delivery System at Spotify

by Jan Stenberg on  Mar 31, 2017

Spotify clients generate up to 1.5 million events per second at peak hours and all are handled by their Event Delivery System, designed to have a predictable latency and to never lose an event, Igor Maravic noted in his presentation at the recent QCon London conference, where he gave a high level overview of the system and some of the key operational aspects.

Hazelcast Release Jet, Open-Source Stream Processing Engine

by Ben Evans on  Feb 08, 2017

Hazelcast, previously known for the open-source caching and in-memory data grid technologies, has announced a major release of their new stream processing engine, Jet.

Chaperone - A Kafka Auditing Tool from the Uber Engineering Team

by Hrishikesh Barua on  Jan 26, 2017 2

The Uber Engineering team released their Kafka auditing tool called Chaperone as an open-source project. Chaperone allows for auditing and detection of data loss, latency, and duplication of messages in the multi-datacenter and high-volume Kafka setup at Uber.

Apache Eagle, Originally from eBay, Graduates to top-level project

by Alexandre Rodrigues on  Jan 24, 2017

Apache Eagle, an open-source solution for identifying security and performance issues on big data platforms, graduates to Apache top level project on January 10, 2017. Firstly open-sourced by eBay on October 2015, Eagle was created to instantly detect access to sensitive data or malicious activities and, to take actions in a timely fashion.

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.

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.

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.

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.

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

by Sergio De Simone 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 Jan Stenberg 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 Jan Stenberg 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.

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