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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

Infrastructure is quite a broad and abstract concept. Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. What is an infrastructure engineer? (80, Key components of IT infrastructure. This environment or — infrastructure — consists of three layers.

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Blue-Green Deployments: A Definition and Introductory Guide

LaunchDarkly

This deployment process involves creating two identical instances of a production app behind a load balancer. At any given time, one app is responding to user traffic, while the other app receives constant updates from your team’s continuous integration (CI) server. Complexity in infrastructure.

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Cloud Native Patterns: Canary Release

Daniel Bryant

Intent Canary release is a technique to reduce the risk of introducing a new software version in production by slowly rolling out the change to a small subset of users, before rolling it out to the entire infrastructure and making it available to everybody. This includes the ability to observe and comprehend both technical metrics (e.g.

Cloud 40
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Important Practices for DevOps in the Cloud

OTS Solutions

Security is supposed to be part of the automated testing and should be built into the continuous integration and deployment processes. Continuous Deployment (CD) and continuous Integration for Cloud apps Continuous Integration (CI) and Continuous Deployment (CD) are highly regarded as best practices in DevOps cloud environments.

DevOps 130
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How to Use Containers to Enable Microservices in Your DevOps

Coveros

Are you trying to shift from a monolithic system to a widely distributed, scalable, and highly available microservices architecture? ” Here’s how our teams assembled Kubernetes, Docker, Helm, and Jenkins to help produce secure, reliable, and highly available microservices. The Microservices Design Challenge.

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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

Machine Learning is Held Back by Infrastructure & GPUs. Infrastructure woes. How will you feasibly manage ML infrastructure when traditional methods require significant human capital? ML & Infrastructure: IaC and Kubernetes Alleviate Sysadmin Headaches. Time to solve the infrastructure issue.