InfoQ Homepage Programming Content on InfoQ
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Debezium and Quarkus: Change Data Capture Patterns to Avoid Dual-Writes Problems
It’s common in microservices to write data in two places, a database and send the content to another microservice. One approach to tackle this problem is dual writes, but you may lose data because of concurrent writes. Debezium is an open-source project for change data capture using the log scanner approach to avoid dual writes and communicate persisted data correctly between services.
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Data Manipulation with Functional Programming and Queries in Ballerina
Ballerina has been designed as a data-oriented programming language and supports a functional programming coding style. The Ballerina query language is similar to SQL in the sense that a query expression is made up of clauses. The Ballerina “Table” data structure can be more effective than maps in representing indexed data collections.
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Infrastructure as a Code—Why Drift Management Is Not Enough
The reality is that configuration drift will remain unavoidable for the foreseeable future. An EaaS solution, coupled with an IaC platform and good change management policies will help you prevent drift and shorten your development cycles.
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How Open Source is Contributing to Your Team’s Development: What Leaders Should Know
Today’s open source landscape plays a critical role in the developer journey and in business as well. This piece examines common barriers to contribution, how businesses benefit from open source, and what it may look like for businesses to help prioritize open source contribution among their employees.
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AI, ML, and Data Engineering InfoQ Trends Report—August 2022
In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.
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Why DevOps Governance is Crucial to Enable Developer Velocity
The application environment should be managed centrally by the DevOps team. This allows them to better track modifications and changes which would then be swift and transparent to developer teams.
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Mobile Video-Conferencing Using Jitsi
In this article, we will look at alternatives for providing video meetings on mobile devices. We take Jitsi as a popular open source option, which provides Jitsi Meet, an ad-hoc video meetings service, and JaaS, a service platform for developers. Looking at user engagement data, we see there’s no "one size fits all" solution.
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Discovering the Versatility of OpenEBS
OpenEBS provides storage for stateful applications running on Kubernetes, including dynamic local persistent volumes or replicated volumes using various "data engines". OpenEBS can address a wide range of applications, from casual testing and experimentation to high-performance production workloads
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Architectural Frameworks, Patterns, and Tactics Are No Substitute for Making Your Own Decisions
Software frameworks greatly amplify a team’s productivity, but also make implicit decisions. The benefits and limitations must be understood because of the impact on the resulting system architecture.
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Open-Source Testing: Why Bug Bounty Programs Should Be Embraced, Not Feared
The growing importance of the Web3 ecosystem based on blockchains shows how important community test programs are. Some within the testing community see this trend as a threat. However, it is actually an opportunity. Bug bounties and open-source test contributions are a great tool for test teams, and there is every reason for testers to embrace this new trend rather than to fear it.
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/articles/performance-testing/en/smallimage/logo-1657874085693.jpg)
Gatling vs JMeter - What to Use for Performance Testing
A performance tool with a graphical interface will probably be easier to use at the beginning, but the idea of a performance test as code is the future. Tests are readable and much easier to maintain. Many people are skeptical about Gatling because it requires learning a new programming language - Scala. However, Java is supported with the release of Gatling 3.7.
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Building Neural Networks with TensorFlow.NET
TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. TensorFlow.NET is a library that provides a .NET Standard binding for TensorFlow. In this article, the author explains how to use Tensorflow.NET to build a neural network.