Move Lazer documentation to Pro section and remove lazer folder

pages/price-feeds/pro/how-lazer-works.mdx

@@ -1,6 +1,75 @@
 # How Pyth Pro works
 
-Pyth Pro uses the same infrastructure as Pyth Lazer.
-It is a permissioned service that provides ultra-low-latency price and market data to highly latency-sensitive users.
+Pyth Pro is a permissioned service that provides ultra-low-latency market data to consumers.
+It aggregates data from multiple publishers and distributes it to consumers through a multi-tier architecture.
 
-We are working on writing a detailed technical overview how Pyth Pro infrastructure works. Details will be added here as they are completed.
+## System Services
+
+The architecture consists of five main types of services that work together to provide ultra-low-latency data to consumers.
+Each service has multiple instances running to ensure high availability and low latency.
+
+### Publishers
+
+Publishers are the entities that provide market data to Pro. They submit updates via authenticated WebSocket connections.
+Each publisher is configured with specific permissions defining which feeds they can update.
+
+### Relayers
+
+The Relayer service is the ingestion layer that receives and validates all incoming updates from publishers.
+
+**Key responsibilities:**
+
+- **Authentication**: Validates publisher access tokens and optional Ed25519 signatures.
+- **Validation**: Performs sanity checks on incoming updates by examining feed IDs, timestamps, and values to ensure data integrity and proper formatting.
+- **Rate limiting**: Enforces configurable limits on publisher updates.
+- **Message forwarding**: Publishes validated updates to an internal message queue.
+
+Douro Labs operates the relayer service for the Pyth Pro network. It follows a strict, deterministic processing model:
+
+- **No price dropping outside of circuit breakers**: All validated updates are forwarded to the message queue without dropping any prices (except for when a circuit breaker is triggered).
+- **FCFS processing**: Updates are processed on a first-come-first-served basis without prioritization.
+
+This ensures reliable, predictable data flow from publishers to consumers.
+
+### Message Queue
+
+The system uses a distributed message queue for pub/sub messaging with stream persistence.
+This allows the system to be deployed in a multi-datacenter environment and ensures reliable message delivery between services.
+
+**Message ordering**: The message queue ensures reliable delivery and maintains the exact sequence of messages within each data stream.
+This means every publisher update will be delivered at least once, and messages will be processed in the same order they arrived at the Relayer.
+This sequential processing is essential for keeping all aggregators synchronized with the same feed state.
+
+### Routers
+
+The Router is the real-time distribution layer that serves data to consumers.
+It embeds aggregation logic to compute median prices, confidence intervals (using interquartile range), and best bid/ask prices, funding rates, and more from multiple publisher inputs.
+
+**Key features:**
+
+- **WebSocket streaming**: Provides `/v1/stream` endpoint for real-time price updates
+- **HTTP REST API**: Offers `/v1/latest_price` for on-demand price queries
+- **Channel types**: Supports real-time and fixed-rate channels (50ms, 200ms, 1s)
+- **Multi-chain support**: Generates on-chain payloads for Solana, EVM, and other chains
+
+#### Aggregation logic
+
+Each Router embeds an aggregator component that consumes publisher updates from the Message Queue and computes aggregated data feeds. The aggregator:
+
+- Computes median values resistant to outlier data from individual publishers.
+- Calculates confidence intervals using interquartile range to measure data spread.
+- Determines best bid/ask values filtered to ensure market consistency.
+- Automatically removes stale publisher data based on configurable timeouts.
+
+Pro guarantees deterministic aggregation: all aggregators produce the exact same aggregated results by relying solely on the consistent stream of price updates from the Message Queue.
+This ensures that every Router instance maintains identical feed state, providing consistent data to all consumers regardless of which Router they connect to.
+
+### History Service
+
+The History Service provides persistence and historical data queries.
+
+**Key responsibilities:**
+
+- Data persistence: Stores all publisher updates, aggregated data, and transactions.
+- Historical queries: Provides REST API for querying historical data.
+- OHLC API: Provides Open, High, Low, Close (OHLC) data for charting applications through the history service.