InfoQ Homepage Articles
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Thinking Deductively to Understand Complex Software Systems
Thinking differently can allow us to approach problems in new ways. With testing, approaching the problem with a negative approach can lead to more thorough test cases.
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In-Process Analytical Data Management with DuckDB
DuckDB is an open-source OLAP database for analytical data management that operates as an in-process database, avoiding data transfer overhead. Leveraging vectorized query processing and Morsel-Driven parallelism, the database optimizes performances and multi-core utilization for analytical data processing.
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/articles/how-to-manage-full-stack-java-development-with-hilla/en/smallimage/manage-full-stack-java-development-with-hilla-small-1686055303315.jpg)
How to Manage Full-Stack Java Development with Hilla
This article explores Hilla, an open-source framework that offers an approach to web application development by integrating a Spring Boot Java backend with a reactive TypeScript frontend. It uses either Lit or React, combined with Vaadin’s 40+ open-source UI web components for interface creation. It also generates REST APIs and client access codes, a secure, stateless backend architecture.
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Debugging outside Your Comfort Zone: Diving beneath a Trusted Abstraction
This article takes a deep dive through a complex outage in the main database cluster of a payments company. We’ll focus on the aftermath of the incident - the process of understanding what went wrong, recreating the outage in a test cluster, and coming up with a way to stop it from happening again, and dive deep into the internals of Postgres, and learn about how it stores data on disk.
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If You Want to Deliver Fast, Your Tests Have the Last Word
A good testing strategy is critical for safe code changes, fast delivery, reduced MTTR, and improved developer experience. Shifting the concept of “unit” can reduce the time needed for changes.
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A Case for Event-Driven Architecture with Mediator Topology
This article tells the story about a business case using Event-Driven Architecture with Mediator topology and an implementation that provided elastic scalability, reliability, and durable workflows. All were built using Kubernetes, KEDA, AWS, and .NET technologies.
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/articles/azure-functions-quarkus/en/smallimage/azure-functions-on-quarkus-3-1685542580748.jpg)
A Guide to the Quarkus 3 Azure Functions Extension: Bootstrap Java Microservices with Ease
A guide to using Azure Functions with Quarkus 3, for HTTP and non-HTTP functions. Covers newer native integration for serverless functions.
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Effective Test Automation Approaches for Modern CI/CD Pipelines
Shifting left can be used to improve test design and lead to faster, more effective CI/CD pipelines. By focusing on building effective and efficient tests, CI/CD runs can quickly return feedback.
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Minimising the Impact of Machine Learning on our Climate
This article introduces the field of green software engineering, showing the Green Software Foundation’s Software Carbon Intensity Specification, which is used to estimate the carbon footprint of software, and discusses ideas on how to make machine learning greener. It aims to give you the tools to take an active part in the climate solution.
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Tales of Kafka at Cloudflare: Lessons Learnt on the Way to 1 Trillion Messages
Cloudflare uses Kafka clusters to decouple microservices and communicate the creation, change or deletion of various resources via protobuf, a common data format in a fault-tolerant manner. The authors suggest investing in metrics for problem detection, prioritizing clear SDK documentation, and balancing flexibility and simplicity for standardized pipelines.
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Easy Implementation of GDPR with Aspect Oriented Programming
GDPR compliance should be a default feature in every application that handles PII (Personally Identifiable Information). Most organizations have an impression that GDPR is a luxury feature that needs special tools to implement. But, we can see that the frameworks and design patterns we already use in our everyday development can very well be used to implement the GDPR rules.
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Data-Driven Decision Making - Software Delivery Performance Indicators at Different Granularities
Optimizing a software delivery organization is not a straightforward process standardized in the software industry. Getting the organization to analyze the data and act on it is a difficult undertaking. This article presents insights into how a socio-technical framework for optimizing a software delivery organization has been set up and brought to the point of regular use.