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Building Resilient Public Networking on AWS: Part 2

Xebia

Deploy Secure Public Web Endpoints Welcome to Building Resilient Public Networking on AWS—our comprehensive blog series on advanced networking strategies tailored for regional evacuation, failover, and robust disaster recovery. We laid the groundwork for understanding the essentials that underpin the forthcoming discussions.

AWS 147
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Beyond Jenkins: The Power of Cloud-Native AWS CodePipeline for Deployments

Dzone - DevOps

Tools and platforms form the backbone of seamless software delivery in the ever-evolving world of Continuous Integration and Continuous Deployment ( CI/CD ). For years, Jenkins has been the stalwart, powering countless deployment pipelines and standing as the go-to solution for many DevOps professionals.

AWS 64
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Hire a Kubernetes DevOps: Azure & AWS

Mobilunity

Nowadays, Kubernetes is widely used by DevOps, and more companies are in search of a certified Kubernetes application developer. This helps to streamline the development, testing, and deployment of pipelines in DevOps, so K8 is a popular solution among DevOps experts. What Can DevOps Bring to Software Development?

Azure 83
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New Relic Extends Observability Reach to More DevOps Platforms

DevOps.com

New Relic today expanded its ecosystem by adding integrations between its observability platform and a wide variety of DevOps and cybersecurity tools. The post New Relic Extends Observability Reach to More DevOps Platforms appeared first on DevOps.com. Peter […]. Peter […].

DevOps 108
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Microservices on AWS [Video]

Dzone - DevOps

In this tutorial, I will explain different CI/CD concepts and tools provided by AWS for continuous integration and continuous delivery. I will be creating a Spring Boot microservice and deploy it to AWS EC2 instances running behind an application load balancer in an automated way using the AWS Code Pipeline.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

introduces available tools and platforms to automate MLOps steps. It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps vs DevOps.

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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.

DevOps 52