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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. Laifenfeld argued that developers shouldn’t bear the burden of the additional workload when their focus is their code: “Learning Kubernetes as a developer is not easy,” she said.

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The Speed of Time

Brendan Gregg

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled. But I'm not completely sure.

Speed 126
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024. And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

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Scale DevOps and SRE with open source Keptn

Dynatrace

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Developers want to write high-quality code and deploy it quickly. Developers also need to automate the release process to speed up deployment and reliability.

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Is DevOps dead? Exploring the changing IT landscape and future of DevOps

Dynatrace

In the free ebook “ A Beginner’s Guide to DevOps ,” DevOps is defined as a set of software development and delivery best practices to close the gap between software development and IT operations. In the podcast, Grabner recalled his interview with Kelsey Hightower at the Perform 2023 conference.

DevOps 166
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The Speed of Time

Brendan Gregg

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled.

Speed 52
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Simplify and standardize Dynatrace integration to Jenkins software delivery pipelines with shared libraries

Dynatrace

At Dynatrace’s 2020 Perform Conference, we shared approaches for how our customers are using Dynatrace to help them “ Release Better Software Faster ”. One highlight from the conference was the introduction of the open-source project called Keptn which Dynatrace is leading. Jenkins code libraries. Dynatrace news.

Software 144