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Podcast: Interview with Software Engineering Daily

Sutter's Mill

Also in April, I was interviewed by Jordi Mon Companys for Software Engineering Daily, and that interview was just published on the SE Daily podcast. government recently released a report calling on the technical community to proactively reduce the attack surface area of software infrastructure.

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What is platform engineering?

Dynatrace

The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. Why is platform engineering important?

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.

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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. They shouldn’t worry about the platform; they should just start writing code.”

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Real-time detection for fast remediation.

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Autonomous Cloud Enablement aka Scaling NoOps via Self-Service

Dynatrace

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Dynatrace news.

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