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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 290
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A Note to Business Leaders on Software Engineering

Strategic Tech

A software developer with a computer science degree will produce the same quality of work as any other software developer with a computer science degree. It makes business sense to hire cheap programmers and put in place a standard process. In fact, there are near infinite ways to solve every software engineering challenging.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.

Java 202
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The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. Customer empathy is key to a fully optimized site reliability engineering practice Software engineering can often be an impersonal discipline.

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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. Here is the definition of this model: ?. Industry apps explosion.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

DevOps 137
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Edge Authentication and Token-Agnostic Identity Propagation

The Netflix TechBlog

In the process, we changed end-to-end identity propagation within the network of services to use a cryptographically-verifiable token-agnostic identity object. The whole system was quite complex, and starting to become brittle. The API server orchestrates backend systems to authenticate the user.