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Low Code/No Code Testing Approach for Salesforce Testing

DZone

In this article, we will discuss what challenges Salesforce presents for quality engineering and how we can leverage a low code/no code approach for automation testing in Salesforce. First, let's have a look at what are prime challenges salesforce presents due to its highly dynamic nature.

Code 141
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Top 10 Low-Code App Development Best Practices to Follow

DZone

Low-code is the present and future of software development. The low-code market is expected to increase from its $10.3 build a huge variety of applications using the low-code approach and have even created our own low-code app builder that helps our customers turn ideas into real apps. We at Appery.io

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‘Security as code’ demands proactive DevSecOps

Dynatrace

This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. Willie Hicks discussed how Dynatrace Application Security helps organizations adopt a security-as-code approach. The security challenges of DevOps.

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The Quality of Auto-Generated Code

O'Reilly

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. Things like that.

Code 120
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7 Tips for Effective Cybersecurity Training for Developers

DZone

Cybersecurity is an ever-present concern for organizations across all industries. Set Goals for Developers Writing code can be a time-consuming process. Threat actors continually seek ways to infiltrate businesses and sell stolen data to the highest bidder.

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Fully automatic code level monitoring and extended version support for AIX

Dynatrace

Fully automatic deep code monitoring module injection. One of the unique strengths of Dynatrace OneAgent is the fully automated injection of the deep code monitoring module on Windows and Linux. Fully automated deep code monitoring module injection is available for all customers as of OneAgent version 1.175. This is why AIX 6.1

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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

DZone

The following sections present an in-depth exploration of Docker, its role in ML model deployment, and a practical demonstration of deploying an ML model using Docker, from the creation of a Dockerfile to the scaling of the model with Docker Swarm, all exemplified by relevant code snippets. What Is Docker?