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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

The networking layer is a combination of hardware and software elements and services like protocols and IP addressing that enable communications between computing devices. The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. aligns with the company’s policy and goals.

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Important Practices for DevOps in the Cloud

OTS Solutions

Agile Project Management: Agile management is considered the best practice in DevOps when operating in the cloud due to its ability to enhance collaboration, efficiency, and adaptability. CI involves the frequent integration of code changes into a shared repository, ensuring that conflicts and issues are identified early on.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

In 2022, its annual growth rate in the cloud hit 127 percent , with Google, Spotify, Pinterest, Airbnb, Amadeus , and other global companies relying on the technology to run their software in production. To better understand how the digital vessel pilot controls the army of software packages let’s briefly explore its main components.

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

Blue Sentry

So, successful ML launches are usually outsourced to a degree simply due to feasibility. Docker containers)— while simultaneously dumping code into Git and deploying regularly. Now you have to manage your avalanche of microservices to enable those machine learning workflows you’ve always dreamed about.

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Data Gravity in Cloud Networks: Achieving Escape Velocity

Kentik

All systems go The lift and shift, re-deploying an existing code base “as is” into the cloud, is many organizations’ first step into cloud networking. My first experience breaking down applications into microservices and deploying in new data centers failed due to latency and data gravity in our San Diego data center.

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Scaling my application: am I ready?

CircleCI

The advantage of this approach is that it doesn’t require changing the application code — you just run it on a more powerful server. Here, you just need to provision faster machines with more processors and additional memory for the code to run faster. Continuous integration pipelines are a key part of this. Automate first.

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Why And When To Choose Microservices Over Monolithic Application Architecture

Sunflower Lab

Understand the pros and cons of monolithic and microservices architectures and when they should be used – Why microservices development is popular. In case of software, people had fewer and simpler needs in the past so it was easy to develop specialized software to fulfill consumer-centric demands.