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Measuring Code Quality: Qualitative and Quantitative

DZone

Code Quality defines that the code is good, which means code is of high quality, and code is bad, which means code is of low quality. Code can be considered good quality if it is clear, simple, well tested, bug-free, refactored, documented, and performant.

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Experiencing Perform: The diary of a developer advocate

Dynatrace

Perform is our company’s event once a year in Las Vegas, where our customers and partners visit us to learn more about our product and industry. However, it was my first time at Perform, and although I knew I would learn a thing or two in the next week, I was unaware of how beneficial taking part in this event would be.

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Find vulnerabilities in your code—don’t wait for someone to exploit them

Dynatrace

All-new Dynatrace code-level vulnerability detection All-new Dynatrace code-level vulnerability detection evaluates all requests passing through your applications to identify vulnerabilities. The deep insights into application code provided by OneAgent® help track potentially vulnerable data flow within an application.

Code 203
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Interacting with Open Source for HammerDB Code and Documentation

HammerDB

When you install it you accept the license agreement and once installed there is a file called LICENSE headed GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 – so you know that the code is open source under GPLv3. But what about documentation? This means you have the freedom to contribute to the documentation as well.

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MongoDB Performance Resources

Alex Podelko

As I started to work for MongoDB, I started to get questions about MongoDB performance. We do have a lot of great resources that can help with MongoDB performance. First of all, it is MongoDB and Atlas documentation: Performance , Monitoring , and Query Optimization. Impact of Available IOPS On Your Database Performance.

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Increase the Performance of your Site with Lazy-Loading and Code-Splitting

Jos

It turns out this component structure provides a great foundation to improve the performance of our sites. We are explicit about our dependencies, so we know what code we need to run to run a specific component. Lazy-loading and bundle splitting can have a huge impact on page performance: less code requested, parsed, and executed.

Code 147
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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. Kubernetes limitations In Linux, by default, performance system events can’t be collected by unprivileged users. This restricts the ability of running profilers to diagnose a performance issue from inside the container. Then, the pod is deleted.

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