The SRE Workbench & Architecture Log
> SYSTEM.STACK_UPDATED: 2026-05Engineering is the art of managing trade-offs. This is my curated stack—optimized for high-velocity Kubernetes operations, deep-layer observability, and agentic AI infrastructure.
01 Cloud-Native Platforms
Amazon EKS
The foundation of my distributed systems. Migrating control plane overhead to AWS allows me to focus on cluster scaling, cgroup isolation, and raw compute efficiency.
Terraform
Infrastructure must be immutable. I rely on declarative HCL state management to enforce consistency and prevent configuration drift across multi-AZ environments.
ArgoCD
Eliminated `kubectl apply` entirely. ArgoCD acts as my automated reconciliation loop, guaranteeing cluster state strictly mirrors the Git repository source of truth.
02 Telemetry & Observability
Prometheus & Grafana
My primary engine for SLI/SLO governance. I map custom dashboards to the Four Golden Signals to instantly identify latency spikes and infrastructure saturation.
ELK Stack / Loki
Centralized log aggregation is non-negotiable for rapid RCA. Loki integrates perfectly with Grafana for seamless correlation between metrics and trace logs.
Trivy & OPA Gatekeeper
Shift-left security. Gatekeeper enforces strict admission controller policies, preventing non-compliant or vulnerable container images from entering the cluster.
03 Agentic AI Infrastructure
Amazon Bedrock
My primary gateway for orchestrating LLM inference and deploying highly available agentic workflows without managing underlying GPU clusters.
Model Context Protocol (MCP)
The standard for interoperability. I use MCP to standardize AI context integration across models, enabling secure and predictable agentic infrastructure.
04 Engineering Workbench
Dell G15 (Intel i7-HX)
High-performance x86 compute environment. I leverage WSL2 for deep-level native Linux kernel access, utilizing the raw multi-core HX architecture to run local multi-node Kubernetes topologies (Kind) and demanding infrastructure simulations.
WezTerm + Fish Shell
A GPU-accelerated terminal emulator paired with Fish's intelligent auto-completion. This combination provides the raw speed necessary for rapid infrastructure navigation.
Neovim (LazyVim)
My primary IDE for Infrastructure as Code. Optimized for keyboard-centric development with high-fidelity LSP support for Go, Python, and Terraform.