Elastic Senior Support Engineer
APJ Interview Prep
This site is a comprehensive preparation resource built on the MacLab platform — a self-hosted infrastructure running on a headless MacBook Pro M5 Pro. Rather than simply studying Elasticsearch concepts, I deployed a production-grade 3-node cluster with TLS encryption, Korean language support, ingest pipelines, and ran real failure drills to prove hands-on competency.
Cluster Nodes
3
All master-eligible, data, ingest
Indexed Documents
25
15 logs + 10 support tickets
Korean Search
Enabled
Nori tokenizer + bilingual
Cluster Health
GREEN
All shards allocated
Preparation Sections
Executive Overview
Role requirements, key areas, and how MacLab proves readiness
Architecture
3-node cluster topology, node roles, TLS, and networking
Deployment
Docker Compose, certificate generation, JVM tuning
Data Ingestion
Ingest pipelines, index templates, Korean analyzer, bulk indexing
Validation & Queries
Cluster health, Korean search results, aggregations, snapshots
Failure Drills
Node failure, mapping conflicts, snapshot restore — hands-on
Security Hardening
TLS everywhere, RBAC, certificate chains, network segmentation
Distributed Systems
CAP theorem, split-brain, shard allocation, ILM, data streams
Customer Support
KCS methodology, troubleshooting playbooks, APJ considerations
Interview Q&A
15 technical and behavioral questions with model answers
Elite Edge
ES|QL, vector search, Elastic 9.x, capacity planning
About This Platform
MacLab is a self-hosted platform running 22+ Docker containers on a MacBook Pro M5 Pro with 64GB unified memory. It includes AI inference (Ollama), workflow automation (n8n), observability (Prometheus + Grafana + Loki), and application hosting via Traefik reverse proxy with Cloudflare Tunnel. This Elasticsearch cluster was deployed as an additional service to demonstrate real-world operational experience with the Elastic stack.
// This interview prep site is itself a Next.js 16 app running on MacLab, demonstrating full-stack capability alongside infrastructure expertise.