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‘Security as code’ demands proactive DevSecOps

Dynatrace

This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology.

Code 158
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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. Monitoring-as-code requirements at Dynatrace.

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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

— Excerpt from How Garbage Collection works in the Dynatrace Performance eBook) . However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Garbage collection is slow if most objects survive the collection process.

Speed 166
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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . Try it today using Keptn .

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Automated observability, security, and reliability at scale

Dynatrace

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.

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Microservices: A quick and simple definition

O'Reilly Software

Sam Newman provides a succinct definition of microservices in Building Microservices : “Microservices are small, autonomous services that work together.”. Built and released with automated processes. Codebases grow as we write code to add new features. That complexity is often managed with tooling, automation, and process.

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TensorFlow Library Performance

Brendan Gregg

A while ago I helped a colleague, Vadim, debug a performance issue with TensorFlow in an unexpected location. In this case there's an orange tower (kernel code) that's unusual. But this process had been up and running for hours, and shouldn't still be doing so much page fault growth of its RSS. The cause I've highlighted here.