InfoQ Homepage Streaming Content on InfoQ
-
Confluent Offers Apache Kafka as a Service on the Azure Marketplace
In a recent blog post, Confluent announced the general availability of Confluent Cloud on Microsoft Azure. Confluent Cloud is a fully managed Apache Kafka service that removes the burden of operationally managing Kafka for engineers.
-
Celia Kung on LinkedIn's Brooklin Data Streaming Service
Celia Kung from LinkedIn's team spoke at the QCon New York 2019 Conference last week about Brooklin data streaming service that supports pluggable sources and destinations. These can be data stores or messaging systems making the solution flexible and extensible. Brooklin is part of the streams infrastructure platform developed at LinkedIn.
-
Swim Open Sources Platform That Challenges Conventional Wisdom in Distributed Computing
If one reviews the talks at a modern conference, it'd be reasonable to assume that many of today's software systems are made up of stateless compute, distributed databases, and high-throughput message brokers. Swim recently open-sourced their platform that uses stateful "digital twins" to analyze streaming data in real time without depending on databases, message brokers, app servers, or storage.
-
Amazon Announces Managed Streaming for Kafka in Public Preview
At the recent AWS re:Invent 2018 event, Amazon announced a new fully managed service that makes it easy for customers to build and run applications that use Apache Kafka to process streaming data. This new service is called Amazon Managed Streaming for Kafka, Amazon MSK for short, and is now in public preview.
-
Microsoft Announces the General Availability of Azure Event Hubs for Apache Kafka
Recently, Microsoft announced the general availability of Azure Event Hubs for Apache Kafka. Customers will get the best of both worlds—the ecosystem and tools of Kafka, along with Azure’s security and global scale.
-
Netflix Keystone Real-Time Stream Processing Platform
Netflix recently published a post in their tech blog discussing the design considerations and insights of Keystone, their Real-time stream processing platform. Keystone has been operational since December 2015 and has grown significantly over the years as Netflix subscribers have grown from 65 to over 130 million in the past 3 years. This article follows on the latest state of Keystone platform...
-
eBay's Accelerator Data Processing Framework Provides Parallel Execution and Live Recommendations
eBay's Accelerator data processing framework provides parallel execution and automatic organization of source code, input data, and results. It can be used for data analysis, and algorithm development, as well as a live recommendation system.
-
Apache Kafka Reaches 1.0
The Apache Software Foundation has announced Apache Kafka 1.0, adding an improved Streams API, enhanced metrics, improved tolerance for disk failures, general bug fixes, and more.
-
Confluent Releases KSQL, a Distributed Streaming SQL Engine for Apache Kafka
Confluent released KSQL: interactive, distributed streaming SQL engine for Apache Kafka. KSQL supports stream processing operations like aggregations, joins, windowing, and sessionization on topics in Apache Kafka. Confluent announced the open source streaming SQL engine at the recent Kafka Summit conference.
-
Nikita Ivanov on Apache Ignite In-Memory Computing Platform
Apache Ignite is an in-memory computing platform with transactional support, that supports both key-value persistence as well as streaming and complex-event processing. Ignite was open-sourced by GridGain in late 2014 and accepted in the Apache Incubator program. InfoQ interviewed Nikita Ivanov, CTO of GridGain, to find out more about Apache Ignite.
-
Challenges Building Facebook Live Streams
Facebook Live started in a hackathon two years ago, and was launched to users eight months later. One of the challenges has been dealing with the unpredictable number of viewers of a single stream, Sachin Kulkarni noted in his presentation at the recent QCon London conference, where he described his team's architecture and design considerations when building Facebook live streams.
-
Julien Nioche on StormCrawler, Open-Source Crawler Pipelines Backed by Apache Storm
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.
-
Julien Le Dem on the Future of Column-Oriented Data Processing with Apache Arrow
Julien Le Dem, the PMC chair of the Apache Arrow project, presented on Data Eng Conf NY on the future of column-oriented data processing. Apache Arrow is an open-source standard for columnar in-memory execution. InfoQ interviewed Le Dem to find out the differences between Arrow and Parquet.
-
Jay Kreps on Distributed Stream Processing with Apache Kafka and Kafka Streams
Apache Kafka and Kafka Streams frameworks help with developing stream-centric architectures and distributed stream processing applications. Jay Kreps, CEO of Confluent, gave the keynote presentation on stream processing and microservices at Reactive Summit 2016 Conference last week.
-
Confluent Announces Kafka for the Enterprise with Multi-Datacenter Replication
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.