InfoQ Homepage Architecture Content on InfoQ
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The Future of Data Engineering
Chris Riccomini examines the current and future states of the art in data pipelines, data streaming, and data warehousing. He presents a six-stage evolution that data ecosystems follow, from a simple monolith to a complex data-microwarehouse architecture as the data engineers who manage them solve problems and clarify their roles as infrastructure engineers, rather than data stewards.
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Microservices from the Trenches: Lessons, Benefits, Challenges, and Mistakes
Nicky Wrightson, from Skyscanner, hosted a panel at QCon London with participants who have moved from the monolith to microservices and in some cases back again. They share their experience with microservices on production, and also strong opinions on monorepos, on operating distributed systems, and on the best way to structure an organization to make a success of this architecture.
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Who is on the Team?
Ahmad Fahmy and Cesario Ramos take the changes to the new Scrum Guide as an opportunity to explore what it means to be "on a team." They draw on research to create an ACID test to differentiate who is on the team and who isn't. They discuss different mental models around the idea of a team with the hopes that you take this opportunity to discuss and elevate the roles within your organization.
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Testing Quarkus Web Applications: Component & Integration Tests
Quarkus is a full-stack, Kubernetes-native Java framework made for Java virtual machines (JVMs) and native compilation. Instead of reinventing the wheel, Quarkus uses well-known enterprise-grade frameworks backed by standards/specifications and makes them compilable to a binary using Graal VM. This article focuses on using some of the Quarkus testing facilities.
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The Evolution of Precomputation Technology and its Role in Data Analytics
In this article, author Yang Li discusses the importance of precomputation techniques in databases, OLAP and data cubes, and some of the trends in using precomputation in big data analytics.
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Migrating Monoliths to Microservices with Decomposition and Incremental Changes
Microservices migrations are not a trivial change. You have to think carefully about whether or they're right for you. Maybe a monolith would be enough for your context and business needs. In this article, Sam Newman shares some decomposition and incremental changes patterns that can help you to evaluate and migrate to a microservices architecture.
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Performance Tuning Techniques of Hive Big Data Table
In this article, author Sudhish Koloth discusses how to tackle performance problems when using Hive Big Data tables.
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Adaptive Frontline Incident Response: Human-Centered Incident Management
The third article in a series on how software companies adapted and continue to adapt to enhance their resilience zeros in on the sources that comprise most of your company’s adaptive resources: your frontline responders. In this article, we draw on our experiences as incident commanders with Twilio to share our reflections on what it means to cultivate resilient people.
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Virtual Panel: the MicroProfile Influence on Microservices Frameworks
In mid-2016, the MicroProfile initiative was created as a collaboration of vendors to deliver microservices for enterprise Java. InfoQ recently asked the opinion of expert practitioners on how MicroProfile has influenced how developers today are building microservices-based applications, the emergence of new microservices frameworks and reverting back to monolith-based applications development.
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Low-Code Platforms and the Rise of the Community Developer: Lots of Solutions, or Lots of Problems?
Low-code platforms are the hottest enterprise software category right now. With the current level of investment, it is hard to imagine a future that doesn’t feature lots of bespoke business apps being built by non-IT staff for use by their teams. Visibility of low code solutions is the key to managing risk.
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AI Applied in Enterprises: Information Architecture, Decision Optimization, and Operationalization
The book Deploying AI in the Enterprise by Eberhard Hechler, Martin Oberhofer, and Thomas Schaeck gives insight into the current state of AI related to themes like change management, DevOps, risk management, blockchain, and information governance. It discusses the possibilities, limitations, and challenges of AI and provides cases that show how AI is being applied.
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Learning from Incidents
Jessica DeVita (Netflix) and Nick Stenning (Microsoft) have been working on improving how software teams learn from incidents in production. In this article, they share some of what they’ve learned from the research community in this area, and offer some advice on the practical application of this work.