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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

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10 tips for migrating from monolith to microservices

Dynatrace

Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. This comprehensive view helps teams gain an initial understanding of a monolithic application so they can develop a migration strategy.

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Dynatrace Perform 2022: Themes to watch at Dynatrace’s annual conference

Dynatrace

In contrast, a modern observability platform uses artificial intelligence (AI) to gather information in real-time and automatically pinpoint root causes in context. Successfully scaling DevOps – Webinar. In this webinar, we talk with IT systems integrator avodaq AG about their DevOps and Kubernetes adoption journey.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. How can organizations use AI observability to optimize AI costs? Join this Observability Clinic to learn more.

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What is observability? Not just logs, metrics and traces

Dynatrace

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). Watch webinar now! Making observability actionable and scalable for IT teams. Here are some ways you can make observability actionable and scalable. Why the three pillars of observability aren’t enough.

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