Cloud Computing

Cloud computing provides the immense power and global reach that modern AI systems need to thrive. It is the infrastructure that allows a brilliant model to go from a local machine to a scalable, resilient, and accessible service for users worldwide. I design cloud environments that ensure AI applications run efficiently, securely, and without limits.

Key Technologies & Frameworks

Linux: The backbone of cloud computing, providing a stable and secure operating system for running applications at scale.

Terraform: Infrastructure as code tool for building, changing, and versioning infrastructure safely and efficiently.

Certificate Management: Tools for managing SSL/TLS certificates to secure communications between clients and servers.

Containerization: Technologies like Docker and Podman for packaging applications and their dependencies into portable containers, ensuring consistency across environments.

Kubernetes: The leading container orchestration platform for automating deployment, scaling, and management of containerized applications in cloud environments.

High Availability: Techniques and architectures designed to ensure that systems are always operational, minimizing downtime and ensuring reliability.

Istio: A service mesh that provides advanced traffic management, security, and observability for microservices running in Kubernetes.

Helm: A package manager for Kubernetes that simplifies the deployment and management of applications on Kubernetes clusters.

k8s Helm: A package manager for Kubernetes that simplifies the deployment and management of applications on Kubernetes clusters.

Monitoring & Logging: Tools for tracking system performance, detecting anomalies, and maintaining operational health through real-time metrics and logs. Thorug Grafana, Prometheus, Kiali.