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How MCP can revolutionize the way DevOps teams use AI

CIO

Traditionally, the main benefit that generative AI technology offered DevOps teams was the ability to produce things, such as code, quickly and automatically. But not all DevOps work involves generating things. Thanks to the Model Context Protocol (MCP), however, DevOps teams now enjoy a litany of new ways to take advantage of AI.

DevOps 196
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9 IT skills where expertise pays the most

CIO

Cloud skills include programming languages, database management, DevOps, security, containerization and microservices, data visualization, AI and ML, and automation. Examples include software such as Slack, Salesforce CRM, and Microsoft 365, which all offer web and application-based software services for customers.

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Lifecycle Microservices With GenAI Tools

Dzone - DevOps

Lifecycle Development With AI We have seen a huge shift in the way developers and consultants are using Generative AI (GenAI) tools to create working microservices. It also pushes each iteration to GitHub and you can run the application using Codespaces. This is usually where the beginning of the full microservice lifecycle starts.

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From Prompt to Running Microservice: ServiceBricks Step-By-Step

Dzone - DevOps

Microservices have become a popular architectural style for building scalable and modular applications. However, setting up a microservice from scratch can still feel complicated, especially when juggling frameworks, templates, and version support.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability.

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Master Building Scalable Micro-Frontend Application Using React

DevOps.com

Micro-frontend is a new and effective approach to building data-dense or heavy applications as well as websites. Building micro-frontend applications enables monolithic applications to divide into smaller, independent units.

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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

The microservices trend is becoming impossible to ignore,” I wrote in 2016. Back then, many would have argued this was just another unbearable buzzword, but today many organizations are reaping the very real benefits of breaking down old monolithic applications, as well as seeing the very real challenges microservices can introduce.