Remove knowledge-base continuous-delivery
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The State of DevOps Automation assessment: How automated are you?

Dynatrace

Armed with this knowledge, organizations can systematically address their weaknesses and specifically determine how to improve these areas. Based on the total for each section, the assessment determines and displays an organization’s maturity levels in the four key areas.

DevOps 172
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

For example, DevOps teams will combine generative AI with fact-based causal and predictive AI to supercharge digital innovation by predicting and preventing issues before they occur and generating new workflows to automate the software delivery lifecycle. Technology prediction No. Technology prediction No. Technology prediction No.

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Progressive delivery done right with Dynatrace and OpenFeature

Dynatrace

But progressive delivery is essentially the solution to that problem: it enables you to move fast and avoid breaking things. How does an organization, especially if they’re not yet doing continuous integration and continuous delivery (CI/CD) , either at all or well, “move fast and not break things”?

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

Dynatrace

AI observability and data observability The importance of effective AI data analysis to organizational success places a burden on leaders to better ensure that the data on which algorithms are based is accurate, timely, and unbiased. Because of these trends, AI data analysis and IT automation are front and center at Perform 2024.

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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

These investments, in turn, extend to unifying observability with context and intelligence across increasingly dynamic and complex cloud environments, and ensuring that their cloud ecosystems are not only reliable and secure but also optimized to realize resource savings and accelerate release delivery. What can we move?

Cloud 220
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. Let’s consider a scenario where a software development team oversees the deployment of updates to a microservices-based application.

DevOps 227