InfoQ Homepage Articles
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/articles/cloud-native-network-functions-concern/en/smallimage/one-concern-for-cloud-native-network-functions-small-1677492803447.jpg)
Writing Cloud Native Network Functions (CNFs): One Concern per Container
This article discusses the “one concern, one process” design for containers and Cloud native network functions (CNFs).
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How to Rebuild Tech Culture for Those Who Survived the Layoffs
A wave of layoffs hit the software industry and changed the definition of tech culture. This article explores the situation across multiple tech companies, and the diverse choices made to support employees who survived, and those they had to say good-bye to. It provides suggestions for those of us who have stayed behind, and how to rebuild culture in our tech teams.
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How to Have More Effective Conversations with Business Stakeholders About Software Architecture
Technical leaders must be able to communicate with business stakeholders to effectively design software solutions that meet the business needs and stay within an established cost threshold. Making architectural decisions requires understanding the desired quality attributes that will affect trade-off discussions between technical and non-technical stakeholders.
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The Future of Service Mesh is Networking
On this journey, we will discover that, to quote David Mooter, “The future of service mesh is as a networking feature, not a product category, as far out of sight and mind from developers as possible—and that is a good thing.”
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Moving towards a Future of Testing in the Metaverse
In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges. To wrap up, he shares some of his thoughts on the role of software testers as we move towards a future of testing in the metaverse.
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Understanding and Applying Correspondence Analysis
Customer segments, personality profiles, social classes, and age generations are examples of effective references to larger groups of people sharing similar characteristics. Correspondence analysis (CA) is a multivariate analysis technique that projects categorical data into a numeric feature space which captures most of the variability in the data by fewer dimensions.
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The Process of Creating Decentralized Apps (dApps)
A decentralized application has a different architectural approach; they are working on distributed ledger technology called blockchain, where there is no central point of failure nor third parties involved. A revolutionary and attractive technology for new opportunities. This article covers creating such applications and why they are needed, as well as challenges during implementation.
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The Unit in Unit Testing
In this article, we will focus on how developers should consider using fake objects instead of mock objects, as fake objects offer similar isolation benefits while driving high confidence, clear documentation, and loose coupling between implementation and test code.
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How Practicing TCR (Test && Commit || Revert) Reduces Batch Size
The practice of test && commit || revert teaches how to write code in smaller chunks, further reducing batch size. TCR yields high coverage by design, which smooths the downstream testing pipeline.
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Environment-as-a-Service (EaaS) as a Technique to Raise Productivity in Teams
In essence, EaaS addresses developer productivity issues by providing settings that make it simple for developers to test and mimic real-world uses of their system. This article discusses the benefits of EaaS.
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How I Contributed as a Tester to a Machine Learning System: Opportunities, Challenges and Learnings
Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers themselves. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make. This is a journey of assuring quality of ML-based systems as a tester.
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/articles/functional-dotnet-development/en/smallimage/Fsharp-vs-Csharp-is-one-more-functional-than-the-other-small-1676023056578.jpg)
Building Functional .NET Applications: a Guide for Choosing between F# vs C#
C# and F# are languages, each with growing user bases, that approach functional programming in fundamentally different ways. C# relies on object-oriented, imperative principles, and F# relies on functional principles. Some developers are using F# as a complement to C#, rather than relying on the functional capabilities that exist natively in C#.