docs(note): add production-setup slide deck

Marp-based markdown deck walking through the three-layer production
topology (masters, volumes, filers + DB, S3 gateways, admin + workers)
plus an erasure-coding note. Uses the object-store-layout diagram on the
overview slide. Makefile renders PDF/HTML/PPTX via marp-cli.

note/slides/Makefile

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+MARP    ?= npx @marp-team/marp-cli
+SRC     := seaweedfs-production-setup.md
+PDF     := $(SRC:.md=.pdf)
+HTML    := $(SRC:.md=.html)
+PPTX    := $(SRC:.md=.pptx)
+FLAGS   := --allow-local-files
+
+.PHONY: all pdf html pptx watch clean
+
+all: pdf
+
+pdf: $(PDF)
+
+html: $(HTML)
+
+pptx: $(PPTX)
+
+$(PDF): $(SRC)
+	$(MARP) $(SRC) --pdf $(FLAGS) -o $@
+
+$(HTML): $(SRC)
+	$(MARP) $(SRC) --html $(FLAGS) -o $@
+
+$(PPTX): $(SRC)
+	$(MARP) $(SRC) --pptx $(FLAGS) -o $@
+
+watch:
+	$(MARP) $(SRC) --watch --html $(FLAGS)
+
+clean:
+	rm -f $(PDF) $(HTML) $(PPTX)

note/slides/seaweedfs-production-setup.md

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+---
+marp: true
+theme: default
+paginate: true
+---
+
+# SeaweedFS Production Setup
+
+A walkthrough of the recommended deployment topology
+
+- Storage layer
+- File access layer
+- Backend operations
+- Erasure coding for durability
+
+---
+
+![bg contain](object-store-layout.png)
+
+---
+
+# Storage Layer
+
+**3 Masters + Volume Servers**
+
+- **Masters (run 3)**
+  - Form a Raft quorum; tolerate 1 failure
+  - Track volume locations and cluster topology
+  - Lightweight; not on the data path for reads/writes after lookup
+
+- **Volume Servers (scale out)**
+  - Hold the actual needle data on local disks
+  - Add more servers for capacity and throughput
+  - Heartbeat to masters; clients talk to them directly for I/O
+
+Rule of thumb: start with 3 masters, then grow volume servers with data.
+
+---
+
+# File Access Layer
+
+**Filer + DB for metadata**
+
+- Filer serves POSIX-like directory and file metadata
+- Metadata store options: PostgreSQL, MySQL, Redis, Cassandra, TiKV, etc.
+- Run **3 filers** for HA
+- Filers are stateless relative to each other — state lives in the DB
+
+**S3 Servers**
+
+- Expose the S3 API on top of the filer
+- Scale the count based on throughput requirements
+- Can be co-located with filers or run independently
+
+---
+
+# Backend Operations
+
+**1 Admin Server + a few Workers**
+
+- **Admin server (1 is enough)**
+  - Coordinates background jobs: balancing, EC encoding, vacuum, replication fixes
+  - **Not on the data path** — a restart does not affect object store reads/writes
+  - No HA required for normal operation
+
+- **Workers (a few)**
+  - Execute long-running tasks issued by the admin server
+  - Horizontally scalable based on maintenance workload
+
+Keeps housekeeping off the hot path.
+
+---
+
+# Production Topology Summary
+
+| Component      | Count                | Role                              |
+|----------------|----------------------|-----------------------------------|
+| Master         | 3                    | Raft quorum, topology, volume map |
+| Volume Server  | N (scale out)        | Stores data needles               |
+| Filer          | 3                    | Metadata gateway                  |
+| Metadata DB    | HA cluster           | Persists filer metadata           |
+| S3 Server      | N (by throughput)    | S3 API frontend                   |
+| Admin          | 1                    | Background job coordinator        |
+| Worker         | A few                | Executes admin-scheduled tasks    |
+
+---
+
+# Erasure Coding for Durability
+
+Prefer **many volume servers** so EC shards spread across failure domains.
+
+**Example: 8 volume servers, EC 5+3**
+
+- Each volume becomes 5 data shards + 3 parity shards
+- Shards are placed on 8 distinct volume servers
+- **Tolerates up to 3 simultaneous volume server failures**
+- Storage overhead: 1.6x vs 3x for full replication
+
+```
+Volume -> [D1][D2][D3][D4][D5] + [P1][P2][P3]
+           |   |   |   |   |     |   |   |
+          VS1 VS2 VS3 VS4 VS5  VS6 VS7 VS8
+```
+
+More volume servers = more EC layouts available (e.g. 10+4, 6+3).
+
+---
+
+# Getting Started Checklist
+
+1. Provision 3 master nodes (small boxes are fine)
+2. Provision volume servers sized to your data footprint
+3. Stand up an HA metadata DB, then 3 filers pointing at it
+4. Add S3 servers sized to required throughput
+5. Run 1 admin + a few workers for background maintenance
+6. Once you have enough volume servers, enable EC (e.g. 5+3 on 8 servers)
+
+Scale each layer independently as usage grows.