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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

The rapid evolution of cloud technology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.

AWS 298
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Dynatrace Managed now available on all major cloud platforms

Dynatrace

Cloud-based solutions typically aren’t a viable option or enterprises that have strict security or privacy policies that require their data to be maintained on-premise. To give you a helping hand in such scenarios, we decided to facilitate Managed cluster deployments for major cloud platforms. Dynatrace news. Prerequisites.

Cloud 264
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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

Dynatrace Cloud Native Full Stack injection for Kubernetes, now officially released, provides unparalleled flexibility and scale for onboarding teams to AI-powered observability. The foundation of this flexibility is the Dynatrace Operator ¹ and its new Cloud Native Full Stack injection deployment strategy. Dynatrace news.

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Simplify log onboarding: From zero to observability in minutes

Dynatrace

Log ingestion can seem daunting when getting started with Dynatrace, especially when staring at an empty screen in the Logs or Clouds apps. The Discovery & Coverage app provides Dynatrace administrators with the same OneAgent installation experience they receive with the Clouds and Logs apps. Configuration is fully customizable.

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Dynatrace Cost & Carbon Optimization certified for accuracy and transparency

Dynatrace

The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures.

Energy 223
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SLOs for Kubernetes clusters: Optimize resource utilization of Kubernetes clusters with service-level objectives

Dynatrace

A Kubernetes SLO that continuously evaluates CPU, memory usage, and capacity and compares these available resources to the requested and utilized memory of Kubernetes workloads makes potential resource waste visible, revealing opportunities for countermeasures.

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Log filtering made easy: Data segmentation and advanced filters in Dynatrace Logs

Dynatrace

In this blog post, well explore how these features boost productivity and accelerate access to the right data sets using shortcuts like segments. While selecting a Kubernetes segment, the selector provides a dynamic list of available resources. What are Dynatrace Segments?

AWS 217