InfoQ Homepage Articles
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Is Developing Games for CTV Really That Hard?
Developing a game for the CTV market is nowhere as difficult as some believe. While Roku may be the most difficult to start off with, it has potential, and Apple TV, Android and Amazon Fire TV all represent decent platforms for developers to hone their craft. Studios who dive into the field now will find that they may be able to set the standards of this rapidly evolving video gaming horizon.
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Leveraging the Agile Manifesto for More Sustainability
This article explores what sustainability means exactly, the current status of sustainability of the major agile organizations (Agile Alliance and Scrum Alliance), and the impact of software development on sustainability. The main focal point of this article is using the principles of the Agile Manifesto to guide actions that contribute to more sustainability.
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Consistency, Coupling, and Complexity at the Edge
Successful use of a microservices architecture requires maintaining a clear separation of concerns in the various layers and by employing design principles best suited to each layer. While RESTful API design has become the standard for microservices, it can cause problems at the UI layer. Alternatives such as the Backend-for-Frontend pattern using GraphQL can provide better separation of concerns.
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Improving Testability: Removing Anti-Patterns through Joint Conversations
Code is always testable, but the cost may be high, and the effort exhausting. We can change code to be highly testable by identifying anti-patterns and fixing them. And developers can make the code fit the test requirements, by having discussions with the testers who actually test it.
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AI, ML and Data Engineering InfoQ Trends Report - August 2021
How AI, ML and Data Engineering are evolving in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.
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How to Recognise and Reduce HumanDebt
We know TechDebt is bad; chances are HumanDebt is worse, and once you’ve seen it, you can’t “unsee” or ignore it. What is now needed is a focus on the humans who do the work. Psychological safety in teams is key. The “people work” -both at an individual, but especially at a team level- is the key to sustainability and growth of high-performing tech teams.
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What's New in Java 16
Java 16 was released in March of 2021 as a GA build meant to be used in production. And Java 17, the next LTS build, is scheduled to be released this September. Java 17 will be packed with a lot of improvements and language enhancements, most of which are a culmination of all the new features and changes that have been delivered since Java 11.
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Thoughtfully Training SRE Apprentices: Establishing Padawan and Jedi Matches
This article shares how Padawans and Jedis can inspire and teach us how to help people of a wide variety of backgrounds, ages, and experience levels to observe and understand failures in production. It covers practical lessons learned and shares how you can create and rollout a program for SRE Apprentices within your organization. It also shares feedback from the SRE Apprentices themselves.
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Turning Microservices Inside-Out
Turning microservices inside-out means moving past a single, request/response API to designing microservices with an inbound API for queries and commands, an outbound APIs to emit events, and a meta API to describe them both. A database can be supplemented with Apache Kafka via a connecting tissue such as Debezium.
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The Excel Formula Language Is Now Turing-Complete
The Excel team announced LAMBDA, a new feature that lets users define and name formula functions. LAMBDA functions admit parameters, can call other LAMBDA functions and recursively call themselves. With LAMBDA, the Excel formula language is Turing-complete: user-defined functions can thus compute anything without resorting to imperative languages (e.g., VBA, JavaScript).
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A Journey in Test Engineering Leadership: Applying Session-Based Test Management
This article shows how modifying Session-based Test Management to our context helped us gain more visibility into our testing. Having a structured yet flexible approach to test management allowed us to make better, more timely decisions about the testing, and gave us more opportunities to influence quality decisions earlier in the process.
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Benefits of Loosely Coupled Deep Learning Serving
As deep networks are becoming more specialized and resource-hungry, serving such networks on acceleration hardware in tight-budget environments is also becoming difficult. Instead of using API frameworks, loosely coupled components can be preferred as an alternative. They bring high controllability, easy adaptability, transparent observability, and cost-effectiveness when serving deep networks.