InfoQ Homepage Event Stream Processing Content on InfoQ
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Jagadish Venkatraman on LinkedIn's Journey to Samza 1.0
At the recent ApacheCon North America, Jagadish Venkatraman spoke about how LinkedIn developed Apache Samza 1.0 to handle stream processing at scale. He described LinkedIn's use cases involving trillions of events and petabytes of data, then highlighted the features added for the 1.0 release, including: stateful processing, high-level APIs, and a flexible deployment model.
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Data Engineering in Badoo: Handling 20 Billion Events Per Day
Badoo is a dating social network that currently handles billions of events per day, explains Vladimir Kazanov, data platform engineering lead. At Skills Matter, he talked through some of the challenges of operating at this scale, and what tooling Badoo uses in order to process and report on this data.
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Amazon Managed Kafka Aims to Simplify Kafka Streaming Setup and Use
Introduced as a public preview at AWS re:invent 2018, Amazon Managed Streaming for Kafka (MSK) is now generally available. Amazon MSK aims to make it easy to build and run streaming applications based on Kafka.
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Experiences Going from Event-Driven to Event Sourcing: Fangel and Ingerslev at MicroCPH
At MicroCPH 2019, Thomas Bøgh Fangel and Emil Krog Ingerslev, both at Lunar Way, a fintech company, described how after building a monolithic Rails application they decided to migrate to an event-driven microservices architecture. During the migration they found some design issues and decided to move to event sourcing. In their presentation they discuss the problems and how they solved them.
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Event Streams and Workflow Engines – Kafka and Zeebe
In a recent joint meeting in Amsterdam, Kai Waehner described features of Apache Kafka, a distributed streaming platform, and how it fits in an Event-Driven Architecture. Bernd Rücker described how workflow engines can handle complex business processes, and discussed how Zeebe, a new highly scalable workflow engine, can be used with Kafka.
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In a Serverless World, We Still Need State
Today there is a large push in enterprise architecture towards serverless architecture. Jonas Bonér argues that although he strongly believes in the serverless movement, the programming model should not focus only on stateless functions. We must also have a focus on state, allowing us to benefit from the advantages of serverless while building distributed general-purpose applications.
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Creating Events from Databases Using Change Data Capture: Gunnar Morling at MicroXchg Berlin
When you store data in a database, you often also want to put the same data in a cache and a search engine. The challenge is how to keep all data in sync without distributed transactions and dual writes. One way is to use a change data capture (CDC) tool that captures all changes made. In a presentation at MicroXchg Berlin, Gunnar Morling described Debezium, an implementation of CDC using Kafka.
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The Importance of Event-First Thinking
For global businesses to meet today’s architectural challenges with constant change and extreme scale, we need to go back to the basic principles of system design. The common element in the problems we face is the notion of events driving both actions and reactions, Neil Avery writes in a series of blog posts describing why events are so important and the advantages of an event-first approach .
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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.
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Event Sourcing to the Cloud at HomeAway
Adam Haines, Data Architect at HomeAway, recently spoke at the Data Architecture Summit 2018 Conference about how his team leverages event sourcing cloud design pattern to accelerate the big data initiatives in their organization.
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William McKnight on Data Platforms and Creating a Modern Data Architecture
William McKnight gave a keynote presentation last week at Data Architecture Summit 2018 Conference on creating a modern data architecture using different data platforms.
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Data Artisans Announces Serializable ACID Transactions on Streaming Data
Data Artisans has announced the general availability of Streaming Ledger, which extends Apache Flink with capabilities to perform serializable ACID transactions across tables, keys, and event streams. The patent-pending technology is a proprietary add-on for Flink and allows going beyond the current standard where operations could only consistently work on a single key at a time.
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NATS Messaging System Gets Kafka-Like Log API via Liftbridge
Joining the hot event-driven technology space is Liftbridge, an open-source project that extends the NATS messaging system with a scalable, Kafka-like log API. InfoQ spoke to creator Tyler Treat to learn more about the project, and the changing nature of data integration.
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Axon Framework 3.3 with a Subscription Query API and Kafka Support
Version 3.3 of the Axon framework was recently released with a subscription query API for subscribing to query model updates, a manager for scheduling the publishing of deadline messages, and an Axon-Kafka module allowing for the use of Kafka to send and receive events. An updated version, 3.3.2, has also been released, and for those on version 3.3 an upgrade is strongly recommended.
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QCon NY: Jonas Bonér on Designing Events-First Microservices
Events-first domain driven design (DDD) and event streaming are critical in developing a resilient and scalable microservices architecture. Jonas Bonér from LightBend engineering team spoke at QCon New York 2018 Conference last week about the events-first design.