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DevOps Chats: Software Architecture for Cloud Native,NET Core and Open Source

DevOps.com

In this episode of DevOps Chats we talk with Donald Lutz, principal software architect specializing in systems integration and creating large, scalable cloud applications. Occasionally DevOps Chats is fortunate to spotlight DevOps and cloud native developers doing trailblazing work in contemporary software architectures.

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Scaling DevOps: key strategies and best practices

Agile Engine

Introduction Over the past decade, DevOps has had a transformative impact on how companies manage their software engineering efforts. Yet, eight out of 10 companies practicing DevOps are barely in the middle of this transformation. It seems that scaling DevOps is a challenge in itself, so let’s look at how companies can solve it.

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How Trainline’s CTO stays on track with professional development

CIO

More recently, under the tutelage of former CTO Mark Holt, Trainline became a story of scale and mobility, moving to DevOps, agile principles and leveraging compute power through Amazon Web Services (AWS). Milena Nikolic Such growth in scale has resulted in a steady ramp-up in resources.

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Metrics Matter: The 4 Types of Code-Level Data OverOps Collects

OverOps

It considers established baselines and averages to pinpoint anomalies and immediately notify DevOps and SRE teams of events that require immediate resolution. True Root Cause. Many APM vendors will tell you that they provide the root cause of an issue, including “code-level” insights.

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Pursuing DevOps Momentum: Measuring what matters

CloudGeometry

DevOps is a given in today’s software engineering world. Five or years ago, the writing was on the wall, and the DevOps Research Assessment project set out to quantify what separates leaders – the companies whose software is eating the world – from the laggards (who are now really struggling in the face of the pandemic).

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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*aaS Backwards: Services as a Platform

CloudScaling

My working definition is as follows: Services-as-a-Platform (SaaP) : Composable, reusable services optimized for DevOps, managed via API, and meant to be assembled into a customized PaaS that is application specific by DevOps teams. Microservices / composable. NET), the Android and iOS systems, and Java and its ecosystem.