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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. Can’t we just fold it into existing DevOps best practices?

DevOps 137
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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity.

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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. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •

Cloud 141
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Explore Autonomous Cloud Management at an Autonomous Cloud Lab

Dynatrace

The path to Autonomous Cloud Management (ACM) and NoOps is a transformational journey that reaches all parts of an organization. It fundamentally changes how teams and tools work together with a common goal: deliver software faster, more frequently and with a higher degree of quality. What is an Autonomous Cloud Lab?

Cloud 139
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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. Hard on DevOps. Limited because of a single programming language.

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

Dynatrace

By 2023, over 500 million digital apps and services will be developed and deployed using cloud-native approaches. For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. Industry apps explosion. Performance-as-a-self-service .

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10 talks to look for at the 2018 O'Reilly Software Architecture Conference in London

O'Reilly Software

From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content. We received more than 200 abstracts for talks for the 2018 O'Reilly Software Architecture Conference in London—on both expected and surprising topics.