AWS Community Day 2024 Jakarta --- Building RESTful API in Golang using Kubernetes Operator Pattern for Amazon EKS 1.30
Building RESTful API in Golang using Kubernetes Operator Pattern with Amazon Q Developer
A Kubernetes control-plane pattern that models an AI persona's cognitive lifecycle — including a Dreaming consolidation phase and daily token budgets — as reconciled CRD status, and autoscales gateway replicas on pending cognitive-queue depth rather
Documentation of pre-master thesis work. Later evolved into Lupus.
A custom Kubernetes Operator written in Go that automates the lifecycle, scaling, and self-healing of PostgreSQL clusters. Built using the Controller Pattern.
Kubernetes operator on AWS EKS for automated deployment lifecycle management with Helm charts, Terraform IaC, Prometheus alerting, and GitHub Actions CI/CD for high-availability platform operations.
Lupus - design and run control loops in Kubernetes. Part of my Master Thesis.
A Kubernetes-native control plane for managing multi-tenant SaaS infrastructure. Orchestrates tenant isolation (Silo vs. Pool), onboarding workflows, and "Noisy Neighbor" mitigation using Istio and the Operator pattern.
Control-plane domain repository providing modular building blocks for API control layers, policy enforcement, reconciliation loops, runtime operations, and observability. Designed to power platform backends and operator-style systems.
Kubernetes controller that scrapes NVIDIA DCGM exporter for per-node GPU health and auto-cordons nodes throwing XID errors or running too hot. Closed-loop reliability tooling for GPU clusters.
Self-hosted Kubernetes operator and control plane for provisioning and lifecycle-managing stateful services (PostgreSQL) via declarative CRDs.
Autonomous K8s SRE Agent. Uses a multi-agent LLM pipeline to detect, diagnose, and auto-remediate pod crashes with <30s MTTR and 0% false positives.
The cloud-native control plane for orchestrating a massive network of distributed peers, from IoT devices to edge servers.
An automation tool for maintaining cluster consistency. The MustHaveConfig Operator watches the Kubernetes API server for changes to required baseline structures, matching the actual cluster state to declared specifications and automatically correcting missing or drifted configurations.
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