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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

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7 Continuous Code Quality and Automated Code Review Tools

DZone

What Is Continuous Code Quality? The static code analysis can be used to expose the areas of code that can be improved in terms of quality, and even higher, we can integrate this static analysis into the development workflow, and thus, tackle the code quality issues in the early stages of the development even before they reach the production.

Code 201
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Find vulnerabilities in your code—don’t wait for someone to exploit them

Dynatrace

Each must be evaluated by development teams, leading to wasted time and effort in identifying real vulnerabilities. All-new Dynatrace code-level vulnerability detection All-new Dynatrace code-level vulnerability detection evaluates all requests passing through your applications to identify vulnerabilities.

Code 206
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

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Top Three Methods for iOS Development on Linux

DZone

iOS development has long been associated with Apple's ecosystem and Xcode, which is only available for macOS. However, with the growing popularity of iOS apps, developers using Linux have sought ways to perform iOS development on their preferred operating system. Some of the popular cross-platform tools are:

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. available, and more are in the pipeline.

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Configuration as code is easy to use, update, and understand.