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Automating DevOps practices fuels speed and quality

Dynatrace

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 272
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DevOps orchestration breaks quality-speed stalemate in SDLC

Dynatrace

DevOps orchestration is essential for development teams struggling to balance speed with quality. They struggle to accelerate development cycles, and code quality can suffer. They may also work with a variety of tools that create a fragmented, siloed, and manual environment that slows innovation and impedes code quality.

DevOps 197
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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “You can launch a code space that starts a container that shows you everything about how an app was built and deployed.”

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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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Three ways intelligent automation can advance release validation and break down DevSecOps silos

Dynatrace

During a Perform 2023 conference session, Christian Schwarzbauer, fellow product architect at Dynatrace, and Gerhard Byrne, senior product manager at Dynatrace, explored the role of intelligent automation in DevSecOps and three ways teams can converge automation and security and avoid DevSecOps silos.

DevOps 218
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Platform engineering: Empowering key Kubernetes use cases with Dynatrace

Dynatrace

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. Everything as code: GitOps as the standard Observability as code is used to programmatically define observability and security.

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Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

“Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. We go further include distributed tracing, code-level detail, user experience and even behavioral data.