Culture Engineering Culture Study Testing 
Strategic Tech
MARCH 16, 2021
In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. In orgs where it’s all about delivering tickets as quickly as possible or obsessing over technology, the culture and results are poorer.
Xebia
MAY 16, 2023
Why should you think once again about testing Spark? Data Engineers were tempted by the pressure of the moment to give up on testing all together. And no need for unit testing, since the app was tested all at once by running it in the cluster, and the data could be validated running some basic SQL commands.
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TechCrunch
SEPTEMBER 16, 2021
In less than a year after raising $25 million in Series B funding , technical assessment company CodeSignal announced a $50 million in Series C funding to offer new features for its platform that helps companies make data-driven hiring decisions to find and test engineering talent. to study at MIT.
InfoQ Culture Methods
FEBRUARY 24, 2023
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. By Tariq King
Honeycomb
MAY 24, 2023
Is it any surprise that studies are showing 83% of software developers are feeling burnout? That was certainly the case at Slack where releases were delayed due to a high rate (50%) of flaky tests. Observability is more than a platform: it’s a culture shift. But even the best observability offering needs a culture of support.
Xebia
APRIL 5, 2022
Synthetic Testing versus Real User Activity. With Synthetic Testing, we continuously get information about the availability of the system. We generate the information about the system by executing tests in production according to a schedule (e.g., Case study: A checkout flow. every 5 minutes). Conclusion.
InfoQ Culture Methods
FEBRUARY 16, 2023
In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. Have you ever wondered about systems based on machine learning? A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.
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