The State of DevOps: Accelerating Software Development With Generative AI | Datadog

The State of DevOps: Accelerating Software Development With Generative AI

The State of DevOps: Accelerating Software Development With Generative AI

The ever-increasing importance of software as a business driver and the relentless pressure to deliver high-quality applications faster is driving a shift towards leveraging generative AI in application development. This white paper explores the potential of generative AI to address these challenges and empower engineering leaders. It finds that organizations are rapidly adopting cloud-native development to accelerate application delivery. Generative AI promises to significantly improve developer productivity, code quality, and testing efficiency.

Read this white paper to learn how Datadog, which holds 10 different AWS specializations, helps software developers get the most from generative AI and LLMs by helping them monitor, troubleshoot, improve, and secure their LLM-powered applications.

Datadog also has 800+ integrations to support all the major technologies developers are using to build their AI applications, such as CoreWeave, Pinecone, and Ray. With AWS alone, Datadog supports 100+ services, including key building blocks like Amazon Bedrock and Amazon SageMaker.

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