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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. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

Recent research found that 71% of organizations actively use observability data and insights to drive automation decisions and improvements in DevOps workflows. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 187
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The State of DevOps Automation assessment: How automated are you?

Dynatrace

Automation thus contributes to accelerated productivity and innovation across the organization. Armed with this knowledge, organizations can systematically address their weaknesses and specifically determine how to improve these areas. Examples of qualitative questions include: How is automation created at your organization?

DevOps 172
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality.

AWS 216
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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

Indeed, recent research found that 54% of organizations are investing in platforms to enable easier integration of tools and collaboration between teams involved in automation projects. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. RAG augments user prompts with relevant data retrieved from outside the LLM.

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How machine learning is accelerating data integration?

Abhishek Tiwari

Data integration generally requires in-depth domain knowledge, a strong understanding of data schemas and underlying relationships. This can be time-consuming and bit challenging if you are dealing with hundreds of data sources and thousands of event types (see my recent article on ELT architecture ).