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Demystifying Kuma Service Mesh

Dzone - DevOps

Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. It has its roots in the three-tiered model of application architecture. While Kubernetes helped resolve deployment challenges, the communication between microservices remained a source of unreliability.

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Our DevOps Toolbox: The Consul Interview

Exadel

Consul is another arrow in our quiver of DevOps tools. Recently, Michael Shklyar, a DevOps Software Engineer from the Exadel Digital Transformation Practice, recently sat down with Alexey Korzhov , a DevOps specialist from one of our client projects, to discuss Consul, it’s advantages, and how it helps him solve issues.

DevOps 52
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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

In an effort to avoid the pitfalls that come with monolithic applications, Microservices aim to break your architecture into loosely-coupled components (or, services) that are easier to update independently, improve, scale and manage. Key Features of Microservices Architecture. Microservices Architecture on AWS.

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Infrastructure as Code Explained: Benefits, Types, and Tools

Altexsoft

DevOps might have been the most influential trend in software development for the past few years. There are currently over 11,000 DevOps positions offered on Indeed in the US and 74 percent of organizations have already adopted DevOps, among which are Amazon, Facebook, Netflix, Walmart, NASA, and more. Source: K12Academy.

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Introducing the MLOps Management Agent

DataRobot

In several earlier blog posts, we have focused on what we at DataRobot call the AI production gap , which refers to the gap that makes it difficult to transition models from the data science teams who develop them to the IT and DevOps teams who are responsible for deploying and monitoring them in production.

Azure 52
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Important Practices for DevOps in the Cloud

OTS Solutions

Here Are The Important Practices for DevOps in the Cloud Cloud computing and DevOps are two aspects of the technological shift which are completely inseparable. The biggest challenge in dealing with the two is that IT professionals practicing DevOps development in the cloud make too many mistakes that are easily avoidable.

DevOps 130
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AIOps and our Robot Kubernetes Kops

Linux Academy

On the heals of the still wet DevOps movement we are introduced to the new era of DevOps that reaches beyond pipeline automation and into the realm of pipeline evolution. N-Tier architectures and micro-services applications must be tuned for performance. Most of them are proprietary and few open source solutions exist.