Code Software Software Engineering Testing 
DZone
FEBRUARY 20, 2023
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.
Strategic Tech
MARCH 16, 2021
There are a few qualities that differentiate average from high performing software engineering organisations. I believe that attitude towards the design of code and architecture is one of them. Martin Fowler argues that internal quality of a software system enables new features and improvements to be delivered more sustainably.
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Dynatrace
NOVEMBER 3, 2023
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.
Dynatrace
MARCH 6, 2024
Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. They shouldn’t worry about the platform; they should just start writing code.”
DZone
MARCH 26, 2020
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.
Dynatrace
FEBRUARY 12, 2024
The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Configuration as code is easy to use, update, and understand. Standards are set by the platform engineers and ensured throughout all stages of the software development lifecycle.
Uber Engineering
JUNE 15, 2021
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.
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