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

Dynatrace

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. What’s more, in the McKinsey report “ The State of AI 2023 ,” 40% of respondents say their organizations will increase their overall AI investment because of advances in generative AI. Today’s IT organizations face unprecedented challenges.

AWS 211
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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. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. In fact, the Dynatrace 2023 CIO Report found that 78% of respondents deploy software updates every 12 hours or less. What is DevOps monitoring?

DevOps 222
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Platform engineering: Empowering key Kubernetes use cases with Dynatrace

Dynatrace

And according to the 2023 DevOps Automation Pulse , many organizations still have a long way to go: 72% reported that they do not have a clear DevOps automation strategy. Finally, this complexity puts additional burden on developers who must focus on not only building more complex applications, but also managing the underlying infrastructure.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. Continuously monitor AI models’ performance.

Strategy 224
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity.

DevOps 268
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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. They enable IT teams to identify and address the precise cause of application and infrastructure issues.

Analytics 190