#cloud-automation

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Artificial intelligence
fromInfoWorld
1 week ago

Five MCP servers to rule the cloud

Major cloud providers now offer official MCP servers that let AI agents automate cloud operations using existing cloud credentials and natural language commands.
Software development
fromVue.js Jobs
2 weeks ago

Infra Tech Support Practitioner at accenture - VueJobs

Full Stack DevOps Engineer role requiring 3+ years experience in DevOps, cloud automation, and full-stack development with CI/CD and IaC skills.
Software development
fromTechzine Global
4 weeks ago

Dynatrace expands integrations with AWS, Azure, and Google Cloud

Dynatrace added integrations for AWS, Azure, and GCP to provide unified observability, automation, and cost management in multi-cloud environments.
#ai-powered-iac
fromMedium
5 months ago
Artificial intelligence

Can AI Replace Your Terraform Modules? Infrastructure's New Future?

fromMedium
5 months ago
Artificial intelligence

Can AI Replace Your Terraform Modules? Infrastructure's New Future?

fromMedium
5 months ago
Artificial intelligence

Can AI Replace Your Terraform Modules? Infrastructure's New Future?

fromMedium
5 months ago
Artificial intelligence

Can AI Replace Your Terraform Modules? Infrastructure's New Future?

fromAmazon Web Services
4 months ago

Accelerating AWS Infrastructure Deployment: A Practical Guide to Console-to-Code | Amazon Web Services

In today's cloud-first environment, Infrastructure as Code (IaC) has become crucial for managing cloud resources effectively. However, organizations often face significant challenges in adopting IaC practices, including steep learning curves, complex syntax requirements, and difficulty translating manual operations into code. Amazon Q Developer 's Console-to-Code feature addresses these challenges by providing an intuitive bridge between manual AWS Console operations and infrastructure as code. This innovative solution helps organizations accelerate their automation journey while maintaining consistency and reliability in AWS deployments.
DevOps
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