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Is DevOps dead? Exploring the changing IT landscape and future of DevOps

Dynatrace

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 159
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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. The most likely beneficiaries of generative AI The top three areas most likely to benefit from generative AI are IT operations (72%), cybersecurity (47%), and application development or DevOps (30%).

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. DevOps metrics and digital experience data are critical to this. Learn more.

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AWS re:Invent 2022 guide: Cloud application modernization remains key issue

Dynatrace

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting mired in managing IT infrastructure as the organization scales. . Successful?

AWS 130
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Its approach to serverless computing has transformed DevOps. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. DevOps/DevSecOps with AWS. But most of that budget goes toward running the business—not software innovation. 2021 DevOps Report.

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What is IT automation?

Dynatrace

IT automation, DevOps, and DevSecOps go together. DevOps and DevSecOps methodologies are often associated with automating IT processes because they have standardized procedures that organizations should apply consistently across teams and organizations. Read eBook now! An observability platform for IT automation.

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What is artificial intelligence? See how it differs from machine learning in IT ops

Dynatrace

Why deterministic AIOps is essential for DevOps — and beyond. Many organizations now combine development and operations (DevOps) with security (DevSecOps) to help streamline the process of solution development without compromising security. Therefore, human operators are still required to discover and remediate root causes.