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10 most in-demand enterprise IT skills

CIO

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3.

UI/UX 203
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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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Building Resilient Public Networking on AWS: Part 2

Xebia

Fargate Cluster: Establishes the Elastic Container Service (ECS) in AWS, providing a scalable and serverless container execution environment. Second CDK Stage- Web Container Deployment Web Container Deployment: Utilizes the Fargate Cluster to deploy web container tasks, ensuring scalable and efficient execution.

AWS 147
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Taming the Cloud Cost Beast With Kubecost 2.0

Dzone - DevOps

The flexibility and scalability of Kubernetes come with a confusing maze of virtual machines, load balancers, ingresses, and persistent volumes that make it difficult for developers and architects to understand where their money is going. As Kubernetes adoption accelerates, so too do cloud costs.

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Building the World's Most Resilient To-Do List Application With Node.js, K8s, and Distributed SQL

Dzone - DevOps

Developing scalable and reliable applications is a labor of love. Kubernetes allows us to build distributed applications across a cluster of nodes, with fault tolerance, self-healing, and load balancing — plus many other features. A number of intermediary steps might be required to ship a robust product.

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Implementing NATS JetStream as Queues in Golang

Dzone - DevOps

In recent years, the increasing demand for efficient and scalable distributed systems has driven the development and adoption of various message queuing solutions. These solutions enable the decoupling of components within distributed architectures, ensuring fault tolerance and load balancing.

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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Dynamic load balancing : AI algorithms can dynamically balance incoming requests across multiple microservices based on real-time traffic patterns, optimizing performance and reliability.