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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Dynatrace news. Azure Functions in a nutshell.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Dynatrace news. Azure Functions in a nutshell.

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Trends and Topics for 2022

Adrian Cockcroft

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. I did a few talks on this subject early in the year, and linked this to the sustainability advantages of serverless architectures.

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. Monolithic architecture cons. Faster performance.

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Cloud Adoption in 2020

O'Reilly

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. We imagine that companies in the software industry are more likely to be early (or mid-stage) adopters of technologies like cloud computing.

Cloud 141
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

As Steve Jobs wisely said, Don’t Be Trapped by Dogma – Which is Living With the Results of Other People’s Thinking In my view, technology executives and engineering leaders are overly obsessed with the Spotify model. Specialisation could be around products, business process, or technologies. And there lies the problem.