InfoQ Homepage Infrastructure Content on InfoQ
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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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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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How the Boston Children’s Hospital Is Innovating on Top of an Open Cloud
Hybrid and open clouds are rising as an alternative to giants like AWS. This article explains how Boston Children’s Hospital uses this technology for more rapid diagnosis and data processing.
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Analyzing and Preventing Unconscious Bias in Machine Learning
This article is based on Rachel Thomas’s keynote presentation, “Analyzing & Preventing Unconscious Bias in Machine Learning” at QCon.ai 2018. Thomas talks about the pitfalls and risk the bias in machine learning brings to the decision-making process. She discusses three use cases of machine learning bias.
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Serverless Still Requires Infrastructure Management
Serverless architectures employ a wider range of cloud services and make infrastructure stacks more heterogeneous. To effectively manage infrastructure in this era, practices and tools have to evolve.
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Q&A on the Book Testing in the Digital Age
The Book Testing in the Digital Age by Tom van de Ven, Rik Marselis, and Humayun Shaukat, explains the impact that developments like robotics, artificial intelligence, internet of things, and big data are having in testing. It explores the challenges and possibilities that the digital age brings us when it comes to testing software systems.
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Service Mesh: Promise or Peril?
Service meshes such as Istio, Linkerd, and Cilium are gaining increased visibility as companies adopt microservice architectures. The arguments for a service mesh are compelling: full-stack observability, transparent security, systems resilience, and more. But is a service mesh really the right solution for you? This article examines when a service mesh makes sense and when it might not.
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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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AWS VPC Subnets – in Layperson’s Terms
In this article, we are going to look at the different types of VPC setups available in AWS. We will also walk through the core terminology for VPC and explain the primary components.
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Six Tips for Running Scalable Workloads on Kubernetes
Tips to ensure Kubernetes knows what is happening with your deployment: where best to schedule it, when is it ready to serve requests and ensuring work is spread across as many nodes as possible.
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A Comparison between Rust and Erlang
This article will focus on a comparison between Erlang and Rust, detailing their similarities and differences. It may be interesting to both Erlang developers looking into Rust and Rust developers looking into Erlang. A final section will detail more about each of the language capabilities and shortcomings and argue for the possibility of leveraging both languages' strengths in the same project.
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When Streams Fail: Implementing a Resilient Apache Kafka Cluster at Goldman Sachs
At QCon New York, Anton Gorshkov presented “When Streams Fail: Kafka Off the Shore”. The talk shared insight into how a platform team at a large financial institution design and operate shared internal messaging clusters like Apache Kafka, and also how they plan for, and resolve, the inevitable failure that occurs.