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bsmmm/README.md

Hi there 👋

BSM

DevOps / Platform Engineer • Kubernetes • GitOps • Cloud & On-Prem Infrastructure


About Me

I design and operate production-grade infrastructure with a strong focus on automation, scalability, and reliability.

My work spans Kubernetes clusters, GitOps workflows, and hybrid environments (cloud + on-prem), with an emphasis on building platforms that reduce operational friction and enable fast, safe deployments.

I approach infrastructure as a system: reproducible, observable, and secure by design.


Tech Stack


Skills Breakdown

Infrastructure & Orchestration

  • Kubernetes (RKE2), Ceph (RBD), HAProxy
  • Proxmox (on-prem virtualization)
  • Containerization (Docker)

Infrastructure as Code

  • Terraform (state management, modular infra)
  • Ansible (provisioning, automation workflows)

CI/CD & GitOps

  • GitLab CI/CD (self-hosted runners)
  • ArgoCD (declarative GitOps workflows)

Observability

  • Prometheus, Grafana
  • Loki, Tempo (LGTM stack)
  • OpenTelemetry

Security

  • HashiCorp Vault (secrets management)
  • mTLS, Zero Trust principles
  • NGINX, Cloudflare (edge + reverse proxy)

Cloud & Systems

  • AWS, Azure, GCP (multi-cloud exposure)
  • Linux systems, networking, DNS, TLS

Selected Work

  • Enterprise Kubernetes Platform Kubernetes platform hosting Vault, Keycloak, GitLab, Harbor, and monitoring stack components.

  • HA Kubernetes Cluster on Proxmox RKE2 cluster with Ceph-backed storage (RBD) and HAProxy load balancing.

  • End-to-End GitOps Pipeline Terraform + Ansible + GitLab CI/CD + ArgoCD for full automation.

  • Observability Stack Deployment LGTM stack (Prometheus, Grafana, Loki, Tempo) for monitoring and tracing.

  • Disaster Recovery & Backups Backup strategies using Velero and automated workflows.


Current Focus

  • Platform Engineering & Internal Developer Platforms
  • GitOps at scale
  • Hybrid infrastructure (on-prem + cloud)
  • Observability and reliability engineering
  • Cloud-native security

Engineering Approach

  • Everything as Code
  • Automate first, standardize second
  • Design for failure
  • Prioritize observability
  • Avoid unnecessary complexity

GitHub Stats


Let's Connect

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