InfoQ Homepage Event Driven Architecture Content on InfoQ
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Q&A on the Book Internal Tech Conferences
The book Internal Tech Conferences by Victoria Morgan-Smith and Matthew Skelton is a practical guide on how to prepare, organise, and follow-up on internal tech conferences. It shows how to run internal events that enable sharing and learning across teams and departments, and explores the benefits that such events can bring.
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The Potential for Using a Service Mesh for Event-Driven Messaging
In this article, we discuss one of the most challenging and unexplored areas in service mesh architecture; supporting event-driven messaging. There are two main architectural patterns that we discuss here: the protocol proxy sidecar, and the HTTP bridge sidecar. Regardless of the pattern that is used, the sidecar can facilitate features such as observability, throttling, tracing etc.
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Architecture and Design InfoQ Trends Report - January 2019
An overview of how the InfoQ editorial team sees the “architecture and design” (A&D) topic evolving in 2019, which focuses on fundamental architectural patterns, framework usage, and design skills.
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Increasing the Quality of Patient Care through Stream Processing
Today’s healthcare technology landscape is disaggregated and siloed. Physicians analyse patient data streams from different systems without much correlation. Even though health-tech domain is mature and rich with data, the value of it is not directed towards increasing the quality of patient care. This article presents a stream processing solution in which streams are co-related.
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Scaling a Distributed Stream Processor in a Containerized Environment
The article presents our experience of scaling a distributed stream processor in Kubernetes. The stream processor should provide support for maintaining the optimal level of parallelism. However, adding more resources incurs additional cost and also it does not guarantee performance improvements. Instead, the stream processor should identify the level of resource requirement and scale accordingly.
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Using Golang to Build Microservices at The Economist: A Retrospective
Microservices written in Go was a key component of a new system that would enable The Economist to deliver scalable, high performing services and quickly iterate new products. Go's baked in concurrency and API support along with its design as a static, compiled language enabled a distributed eventing system. Overall, The Economist team's experience with Go has been a positive experience.
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Apache Kafka: Ten Best Practices to Optimize Your Deployment
Author Ben Bromhead discusses the latest Kafka best practices for developers to manage the data streaming platform more effectively. Best practices include log configuration, proper hardware usage, Zookeeper configuration, replication factor, and partition count.
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Democratizing Stream Processing with Apache Kafka® and KSQL - Part 2
In this article, author Robin Moffatt shows how to use Apache Kafka and KSQL to build data integration and processing applications with the help of an e-commerce sample application. Three use cases discussed: customer operations, operational dashboard, and ad-hoc analytics.
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A Critique of Resizable Hash Tables: Riak Core & Random Slicing
This fall, Wallaroo Labs will be releasing a large new feature set to our distributed data stream processing framework, Wallaroo. One of the new features requires a size-adjustable, distributed data structure to support growing & shrinking of compute clusters. It might be a good idea to use a distributed hash table to support the new feature, but what distributed hash algorithm should we choose?
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How to Choose a Stream Processor for Your App
Choosing a stream processor for your app can be challenging with many options to choose from. The best choice depends on individual use cases. In this article, the authors discuss a stream processor reference architecture, key features required by most streaming applications and optional features that can be selected based on specific use cases.
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Democratizing Stream Processing with Apache Kafka and KSQL - Part 1
In this article, author Michael Noll discusses the stream processing with KSQL, the streaming SQL engine for Apache Kafka. Topics covered include challenges of stateful stream processing and how KSQL addresses them, and how KSQL helps to bridge the world of streams and databases through streams and tables.
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Virtual Panel: Succeeding with Event Sourcing
Why should you use event sourcing as a data storage and retrieval technique? What are the architectural implications? When should you use platforms versus frameworks to satisfy requirements? InfoQ interviewed two experts to learn more.