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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

In fact, according to the recent Dynatrace survey, “ The state of AI 2024 ,” 95% of technology leaders are concerned that using generative AI to create code could result in data leakage and improper or illegal use of intellectual property. Check out the resources below for more information. What is generative AI?

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Runtime vulnerability management is still a vexing challenge for organizations

Dynatrace

Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. As a result, these code sources compound opportunities for vulnerabilities to enter the software development lifecycle (SDLC). Many of these libraries have not been adequately tested before deployment.

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OpenTelemetry enables automated operations management at scale

Dynatrace

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. This is when the API library is referenced from the application code. Dynatrace news.

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The ChatGPT Surge

O'Reilly

At its peak, ChatGPT was in very exclusive company: it’s not quite on the level of Python, Kubernetes, and Java, but it’s in the mix with AWS and React, and significantly ahead of Docker. Everyone knows that ChatGPT had one of the most successful launches of any software project, passing a million users in its first five days.

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How to fine tune failure detection

Dynatrace

This is especially true when Dynatrace replaces an older generation of monitoring software. Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. It is basically an exception which the code doesn’t expect to occur and therefore doesn’t deal with.

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Best scriptless testing tools for angular based applications

Testsigma

A long time ago, we started building software, basic calculator stuff. Small, uncluttered, and light software. As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being.

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5 key areas for tech leaders to watch in 2020

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Exhibit A: Java-related usage dropped by a noteworthy 13% between 2018 and 2019.