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Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

Dynatrace Delivers Software Intelligence as Code. With this announcement, Dynatrace delivers software intelligence as code, including broad and deep observability, application security, and advanced AIOps (or AI for operations) capabilities. Dynatrace Launches DevSecOps Automation Alliance Partner Program. Learn more!

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Just-In-Time (JIT) Compilation: Advantages, Disadvantages, and Future Trends

DZone

Just-In-Time is a dynamic compilation technique that allows software programs to be compiled at runtime, optimizing performance and reducing startup times. It has enabled developers to write code that is both highly efficient and flexible, thanks to this innovative approach.

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Charting the course for automation and AI for federal agencies

Dynatrace

“The Office of Management and Budget (OMB) is seeking to make certifications easier, and agencies will probably see a faster pace of authorizations in the second quarter of calendar year 2024,” said Ross Nodurft, policy expert and executive director of the Alliance for Digital Innovation. This too will expand the marketplace.

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Why business digital transformation is still a key C-level priority today

Dynatrace

While generative AI has received much of the attention since 2022 for enabling innovation and efficiency, various forms of AI—generative, causal **, and predictive AI —will work together to automate processes, introduce innovation, and other activities in service of digital transformation.

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Eliminate inefficiencies and innovate faster by optimizing hybrid mainframe environments on IBM Z

Dynatrace

This real-time visibility, as well as proven code-level analysis from cloud to the mainframe, gives enterprises a huge competitive advantage—they can eliminate inefficiencies and consequently, innovate at a faster rate. You could use this insight a starting point for refactoring the code of the distributed service.

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Rethinking programming

O'Reilly

The programming world will increasingly be split between highly trained professionals and people who don’t have a deep background but have a lot of experience building things. We need to think about how programming is taught. Like reading, some people learn how to code with little training, and others don’t.

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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Manually sifting through data to answer these questions is time-consuming and takes time away from innovation. But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. and bring that to you while your program continues to run.”