Docker & Kubernetes Container Orchestration
Designing production-grade Kubernetes clusters, microservice routing, and container strategies.
Services Offered
Docker Containerization & Optimization
Writing optimized multi-stage Dockerfiles. I reduce image sizes, utilize non-root runtime environments for security hardening, configure caching flags for quick rebuilds, and construct clean Docker Compose stacks for local engineering workflows.
Production Kubernetes Cluster Architecture
Designing and deploying production-grade Kubernetes clusters (K8s, K3s, Minikube). I configure control plane nodes, highly available worker groups, persistent storage volumes, dynamic storage classes, namespace isolation, and network configurations.
Ingress Controllers & Service Mesh Routing
Configuring ingress gateways (Traefik, Nginx Ingress, Linkerd) to manage secure traffic routing, path-based routing, SSL termination, and rate-limiting limits. I design reliable internal communication networks between container microservices.
Autoscaling & High Availability Tuning
Implementing Horizontal Pod Autoscalers (HPA) and cluster autoscalers. I define target CPU/Memory thresholds and configure metrics servers to scale containers dynamically during high traffic spikes, ensuring performance and stability.
Self-Hosted Proxmox K3s Clusters
Setting up lightweight, high-performance Kubernetes environments using K3s running on Proxmox virtual machines or bare-metal setups. I configure highly available etcd databases, distributed storage, and load-balancing services.
Architecture & Engineering Design
My container architecture strategy is centered around **Immutability**, **Statelessness**, and **Resilience**. I configure Kubernetes topologies to treat compute resources as completely disposable, storing all stateful data in dedicated storage classes or distributed databases.
A typical cluster architecture I deploy includes: 1. **Ingress Layer**: Nginx or Traefik handling SSL termination and routing incoming traffic. 2. **Application Layer**: Pods grouped by service namespace, governed by Deployments or StatefulSets. 3. **Configuration Layer**: Decoupled config settings and API keys utilizing ConfigMaps and Secrets. 4. **Monitoring Layer**: Prometheus Operators gathering container metrics, reporting to alert notification webhooks.
I enforce strict resource boundaries (limits and requests) on every deployment, ensuring single container memory leaks never bring down neighbor pods or node systems.
Proven Track Record
I have spent over five years working deep within the container ecosystem. I have successfully migrated legacy monolithic systems into modular, Dockerized architectures and deployed them on production-grade Kubernetes clusters.
My work includes running local homelab setups containing multiple physical nodes running Proxmox and K3s, and deploying cloud-native clusters at scale. For RecruitEase Pro, I orchestrated containerized FastAPI APIs, background Celery workers, and Redis nodes under a unified Kubernetes topology. This included configuring resource request/limit constraints to prevent CPU throttling, setting up liveness/readiness probes to handle failovers, and defining persistent volume claims for file storage.
Tooling & Ecosystem
Container Orchestration
Networking & Storage
Virtualization & Local Host
Related Portfolio Projects
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