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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. Cybercriminals have targeted healthcare. Dynatrace news.

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What Is a Performance Engineer and How to Become One: Part 1

DZone

Nowadays, many performance testers with many years of experience in IT have a lot of confusion and are still confused about the technologies they worked with and were used in their projects for years. and domains that are likely to be more in demand in fast-developing sectors like BFSI, healthcare, e-commerce, insurance, and many more.

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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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Causal AI use cases for modern observability that can transform any business

Dynatrace

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Healthcare. Further, not every business uses AI in the same way or for the same reasons.

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Five observability predictions for 2025

Dynatrace

From new standards for automation and security convergence to redefining sustainability in IT, these shifts represent not just technological advancements but paradigm changes in how organizations operate, innovate, and compete. These capabilities will give organizations the confidence to deploy AI technologies at scale.

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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency.

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New analytics capabilities for messaging system-related anomalies

Dynatrace

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Now, with technology-specific views, DevOps teams can see messaging system-related anomalies, which significantly simplifies troubleshooting efforts. – DevOps Engineer, large healthcare company.

Analytics 246