Fri.Dec 18, 2020

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Is Quality With Speed Really Possible in Software Testing?

DZone

Living in competitive times, it is very important for the applications to be as sophisticated and accurate as can be. There is no margin for any sort of gaps. While it is an established fact, one of the major concerns of developers is the quality of the software delivered in minimum time, at the lowest costs, and with maximum accuracy. There is an ideal case scenario.

Speed 189
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Mythbusting the Analytics Journey

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. This isn’t your typical recruiting story. I wasn’t actively looking for a new job and Netflix was the only place I applied. I didn’t know anyone who worked there and just submitted my resume through the Jobs page ???????

Analytics 138
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How Readable Is Your Code? Part 2

DZone

Once Again About Cyclomatic Complexity. In the first part, I've introduced Cyclomatic Complexity ( CYC ) metrics in the previous part. So CYC has no intention to be a readability code metric. CYC was invented a long time ago (in 1976) by Thomas J. McCabe. Cognitive Complexity Metric. Cognitive Complexity (CC) attempts to count the cognitive effort required to understand the code's flow.

Code 142
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Client-Side Field Level Encryption (CSFLE) in MongoDB with Golang

The Polyglot Developer

One of the many great things about MongoDB is how secure you can make your data in it. In addition to network and user-based rules, you have encryption of your data at rest, encryption over the wire, and now recently, client-side encryption known as client-side field level encryption (CSFLE). So, what exactly is client-side field level encryption (CSFLE) and how do you use it?

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DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

Dynatrace news. This year I wrote two open-source apps for Dynatrace users. As they gained in popularity, now hundreds of users each, so did the pace of new feature requests. So too did the risk of introducing bugs with all the rapid change. Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience?

Analytics 136