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

Dynatrace

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

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APRA CPS 230 compliance, explained

Dynatrace

For pre-existing contractual arrangements with service providers, the standard will only apply from the next contract renewal date or 1 July 2026, whichever comes first. Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces.

Cloud 227
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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. Manage platform health and performance. Dynatrace committed to monitoring-as-code and an API-first approach years ago.

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What is platform engineering?

Dynatrace

The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. In turn, consistency reduces errors, mean time to resolution, and silos, resulting in improved software quality and performance overall.

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The top four log analytics and log management best practices

Dynatrace

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

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Why you need a unified, AI-powered log management solution

Dynatrace

As organizations grow, cloud application environments create complexity that makes managing and analyzing log data difficult. In this type of environment, it’s difficult to apply traditional monitoring, virtually impossible to keep it consistently current, and it’s challenging to get the outputs you need to truly understand performance.

Analytics 147
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. billion by 2026 according to numerous market research reports. In fact, the global log management market is expected to grow from 1.9 What are logs?

Analytics 214