🔍 Monitor cloud environments with AI-driven insights, anomaly detection, and automated incident responses for better operational efficiency.
Production-grade AWS EKS CloudOps platform demonstrating Terraform, Kubernetes, and live scaling with reliability-first design.
Hands-on AWS Cloud Support labs: EC2, S3, Lambda, IAM, GuardDuty, CloudWatch, incident response, automation, and CloudOps troubleshooting
CloudOpsLab: Hands-on AWS and cloud support scripts showcasing troubleshooting, automation, monitoring, and self-healing. Demonstrates practical CloudOps skills, diagnostics, and cloud problem-solving for entry-level and early-career professionals.
AWS Cloud Support & DevOps portfolio showcasing hands-on labs, VPC/EC2/Terraform projects, Lambda automation, and cloud troubleshooting expertise.
“AWS CloudOps & IT Support | Hands-On Projects with EC2, S3, VPC, Python, Terraform & CloudFormation – Skills & Learning Journey
🔒 Hands-on AWS lab simulating misconfigurations and enforcing automated guardrails. Demonstrates IAM, S3, CloudWatch, Lambda, CloudTrail, incident response, and preventative CloudOps skills—portfolio-ready for entry-level cloud roles.
AI for FinOps: Curated collection of MCP servers and resources for Cloud FinOps practitioners
Account Factory for Terraform (AFT) Blueprins
Learn AWS CloudOps the practical way - no boring videos, just hands-on labs and real projects.
AI-powered CloudOps monitoring system — anomaly detection with PyTorch, FastAPI REST API, Docker deployment, AWS SageMaker training, and GPT-based natural language explanations.
Source code for Luciano Carvalho's personal GitHub page, which showcases recent GitHub activities, a list of repositories, and includes a brief bio and summary of professional experiences.
Building inidividual labs for each Certification module
Official code repository for the paper "Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain"
Библиотека CloudOps автоматизации для Yandex Cloud на базе Serverless.
Infra guard provides visibility and monitoring of infrastructure resources for AWS, GCP and Azure. It can watch resource tags for changes across multiple cloud providers.
🌟 AI Engineering for rapid development of SRE/CloudOps Automation and Multi-Cloud Infrastructure Management 🌐 The foundation and practical application of generative AI for digital transformation in the real world, particularly in our enterprise organization.
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