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Bringing Software Engineering Rigor to Data

DZone

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.

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Clean Unit Testing

DZone

It's easy to write "unit test" tests that use JUnit and some mocking library. They may produce code coverage that keeps some stakeholders happy, even though the tests aren't even unit tests and provide questionable value. It is like the test has a negative value.

Testing 216
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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Check out Dynatrace’s Load testing tool integration.

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Beyond “Prompt and Pray”

O'Reilly

Instead of having LLMs make runtime decisions about business logic, use them to help create robust, reusable workflows that can be tested, versioned, and maintained like traditional software. By predefined, tested workflows, we mean creating workflows during the design phase, using AI to assist with ideas and patterns.

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SRE vs DevOps: What you need to know

Dynatrace

SRE is the transformation of traditional operations practices by using software engineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Encouraging a shift-left approach , testing earlier in the development lifecycle.

DevOps 268
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What is platform engineering?

Dynatrace

Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. The result is a cloud-native approach to software delivery.

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Handling Flaky Unit Tests in Java

Uber Engineering

Introduction to Flaky Tests. Unit testing forms the bedrock of any Continuous Integration (CI) system. It warns software engineers of bugs in newly-implemented code and regressions in existing code, before it is merged. This ensures increased software reliability.

Java 134