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Arkitech
- Warsaw, Poland
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20:15
(UTC -12:00) - in/marcozetina
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ML-Pipeline-Anomaly-Detection
ML-Pipeline-Anomaly-Detection PublicML pipeline for system metrics anomaly detection using an autoencoder, deployed with Flask and monitored via Prometheus and Grafana.
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Hybrid-Cloud-Networking-site-to-site-VPN-
Hybrid-Cloud-Networking-site-to-site-VPN- PublicSite-to-Site VPN connection between AWS and on premises environment
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FinanceApp-Deployed-into-Kubernetes-Terraform-Docker
FinanceApp-Deployed-into-Kubernetes-Terraform-Docker PublicTypeScript 1
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Production-Grade-Terraform-Lab
Production-Grade-Terraform-Lab PublicAzure infrastructure as code with Terraform: reusable modules, dev/staging/prod environments with isolated remote state, and GitHub Actions CI/CD using OIDC (no stored secrets).
HCL 1
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Scalable-Linux-Environment-for-Hosting-Web-Applications
Scalable-Linux-Environment-for-Hosting-Web-Applications PublicFrom Development to Deployment: End-to-End Web Application and a DevOps demonstration
Python 2
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CI-CD-Kubernetes-Terraform-Docker-ArgoCD-GihubActions
CI-CD-Kubernetes-Terraform-Docker-ArgoCD-GihubActions PublicCI-CD pipeline setup for a microservices application
Java 1
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