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Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. Dynatrace news.

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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is workload in cloud computing?

Cloud 130
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Best Practices in Cloud Security Monitoring

Scalegrid

To combat this issue, certain strategies are recommended such as prioritizing alerts based on severity levels, reducing false positives through advanced detection techniques, automating response protocols for faster action-taking, and providing adequate training and resources for personnel responsible for managing security.

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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. Like reading, some people learn how to code with little training, and others don’t. We need to rethink the role of the programmer.

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Can AI-Driven Test Automation Enhance Test Automation?

Testsigma

Testing continued to evolve, and it took advantage of technology innovations. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Manual testers check log files, external services, and databases for errors, moreover, they record their findings.

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What is APM?

Dynatrace

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Increased time spent on innovation. When an internal business application begins to falter, the company may also see reduced employee productivity. Business benefits include: Improved developer and operational productivity.

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Generative AI in the Enterprise

O'Reilly

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” Training models and developing complex applications on top of those models is becoming easier. report that the difficulty of training a model is a problem. Or is there still room for growth?