Dynatrace
MAY 2, 2024
Generative AI poised to have impact by automating software development, report says – blog According to ESG research, generative AI will change software development activities from quality assurance to CI/CD pipeline configuration. Despite this risk, organizations face mounting pressure to innovate faster and on a larger scale.
Dynatrace
OCTOBER 24, 2022
Earlier this year, Dynatrace announced its involvement in the open source feature flagging project OpenFeature that enables fast-paced, high-quality software development. Organizations need to release software at a high velocity to stay competitive as the pace of business accelerates, but they can’t sacrifice software quality for speed.
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Dynatrace
JUNE 13, 2022
They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. But with this speed, agility, and innovation come new challenges. Open source software security.
Dynatrace
JUNE 16, 2020
Unlike other solutions that attempt to connect disparate tools to stitch together a business transaction, the Dynatrace software intelligence platform provides end-to-end transaction visibility by automatically discovering and mapping each transaction with our AI-powered solution.
Dynatrace
JANUARY 21, 2022
Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. How vulnerability management at runtime changes the game.
Dynatrace
MARCH 1, 2023
As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. As a result, organizations are adopting cloud observability technologies to gain visibility into their IT environments and the associated application performance and software vulnerability issues.
Dynatrace
AUGUST 7, 2023
They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Second, for causal AI to provide a deep and rich context to unleash GPT’s full potential for software delivery and productivity use cases.” This vulnerability assessment can happen in real time with no manual effort.
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