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# Designing a Hybrid Event-Driven Architecture: Leveraging Both Solace and AMPS in a Single Spring Boot Microservice Ecosystem

mridul mishra · 2026-06-20 14:57 · 0 claps · 4.4 min read
#distributed-systems #spring-boot #solace #java
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Wiki topics: RAG · RAG & Retrieval 🏛️ · Architecture

The Architectural Blueprint Behind Tier-1 Trading Systems: Marrying Solace and AMPS

In capital markets, there is a recurring architectural trap: the quest for the “one broker to rule them all.”

Architects spend months trying to force a single messaging technology to handle every corner of an enterprise. They try to bend an ultra-low-latency, memory-mapped market data engine into a resilient, cross-regional compliance store. Or conversely, they try to tune a highly resilient, enterprise-wide event backbone to deliver sub-microsecond tick data to an algorithmic matching engine.

Both approaches fail because they ignore a fundamental truth of distributed systems: throughput, state management, and guaranteed delivery exist on a spectrum of trade-offs.

The world’s most sophisticated investment banks and proprietary trading firms don’t compromise. Instead, they build a two-tier hybrid architecture using two titans of the industry: 60East AMPS and Solace PubSub+.

Here is the blueprint for how they work together to power modern distributed trading systems.

The Core Dilemma: Critical Path vs. Enterprise Lifecycle

A trade lifecycle has two distinct phases, each demanding completely opposite architectural properties:

  1. The Front Office Critical Path: This phase requires processing millions of volatile updates per second (market data ticks, order book updates, algorithmic adjustments). Latency must be sub-millisecond, and applications need the immediate state of the world to make a decision. If a message is late, it is useless.
  2. The Post-Trade Enterprise Fabric: Once an execution occurs, speed yields to absolute certainty. The trade must be recorded, cleared, checked for risk, and audited for regulatory compliance across global offices. If a message is lost here, it results in millions of dollars in fines or failed settlements.

Rather than forcing one tool to handle both, modern architecture segments these responsibilities into a Stateful Front-Office Tier (AMPS) and an Enterprise Event Backbone (Solace).

Architectural Breakdown

[Market Data Feeds / Venues]       [Clients / FIX Gateways]
              │                                  │
              ▼                                  ▼
┌─────────────────────────────────────────────────────────────────┐
│                    FRONT OFFICE TRADING TIER                    │
│                                                                 │
│   ┌───────────────────────────┐     ┌───────────────────────┐   │
│   │        60East AMPS        │     │  Execution / Matching │   │
│   │  (SOW, Deltas, Filtering) │◄───►│        Engines        │   │
│   └───────────────────────────┘     └───────────────────────┘   │
└────────────────────────────────│────────────────────────────────┘
                                 │ (Order Fills / Trade Events)
                                 ▼
┌─────────────────────────────────────────────────────────────────┐
│                    ENTERPRISE EVENT BACKBONE                    │
│                                                                 │
│                      Solace PubSub+ Mesh                        │
│         (Guaranteed Messaging, Topic-to-Queue Buffering)        │
└───────┬────────────────────────┬────────────────────────┬───────┘
        │                        │                        │
        ▼                        ▼                        ▼
┌───────────────┐        ┌───────────────┐        ┌───────────────┐
│  Risk Engine  │        │ Clearing &    │        │ Compliance &  │
│  (VaR, Margin)│        │ Settlement    │        │ Regulatory    │
└───────────────┘        └───────────────┘        └───────────────┘

Tier 1: AMPS as the Ultra-Low Latency State Engine

At the tip of the spear, 60East AMPS (Advanced Message Processing System) operates as an in-memory, stateful topic database and messaging engine. It treats messages not just as transient bytes, but as structured, queryable data.

  • State-of-the-World (SOW): When an execution engine or a trader’s UI restarts, it cannot wait to reconstruct an order book by replaying a day’s worth of logs. AMPS maintains a real-time, memory-mapped snapshot of the current state. A client can query the SOW database and seamlessly transition into a real-time subscription in a single atomic action.
  • Delta Messaging: Trading systems waste massive amounts of network bandwidth parsing unchanged fields. AMPS computes and transmits only the fields that have actually mutated (deltas). If only the volume of an order changes, only the volume field hits the wire.
  • Server-Side Content Filtering: Instead of flooding a smart order router with all equities data, AMPS lets consumers filter streams using SQL-92 expressions directly on the broker (e.g., /orders WHERE Symbol = 'AAPL' AND Volume > 10000). The broker discards the noise before it ever reaches the application's network card.

Tier 2: Solace as the Global Enterprise Event Mesh

Once an execution engine processes an order and generates a fill, that event leaves the ultra-low-latency domain. It is handed off to Solace PubSub+, which serves as the robust, WAN-optimized routing fabric of the firm.

  • The Enterprise Shock Absorber: Middle and back-office applications (like value-at-risk calculators or regulatory reporting engines) cannot ingest data at the microsecond speeds of the front office. Solace acts as a massive shock absorber. It takes high-speed trade events, commits them to guaranteed persistent queues, and allows downstream applications to pull and process them safely without dropping a single packet.
  • Hierarchical Topic Routing & Wildcards: Solace excels at moving data based on abstract metadata business logic. By utilizing structured topic strings (e.g., trade/v1/executed/US/Equities/Cash/MS), downstream systems can use wildcards to attract exactly what they need. A global compliance system can subscribe to trade/v1/executed/> to ingest everything, while a regional desk might only subscribe to trade/v1/executed/US/Equities/*/*.
  • WAN Optimization and Hybrid Cloud: Capital markets are global. A trade executed in London often needs to be cleared in New York or backed up in an AWS region. Solace’s Event Mesh natively handles multi-broker routing, dynamically mapping subscriptions across data centers with optimized compression and automated error recovery over high-latency WAN links.

Anatomy of a Trade Lifecycle

To see the synergy in action, trace a single order as it traverses this hybrid ecosystem:

[Ingress] ──► [AMPS SOW & Delta Engine] ──► [Matching Engine Execution]
                                                    │
                                                    ▼
[Downstream Consumers] ◄── [Solace Persistent Queues] ◄── [Bridge Component]
  • The Request: A client sends an order via a FIX Gateway. The gateway publishes the active order status to an AMPS SOW topic.
  • The Execution: The algorithmic matching engine — evaluating prices cached in AMPS — finds a match and executes the trade. It publishes a TradeExecution event back to AMPS for instant, front-office position updating.
  • The Bridge: A lightweight bridge application (or the execution engine itself) takes the execution receipt, formats it into a canonical enterprise schema, and publishes it to a Solace hierarchical topic.
  • The Fan-out: Solace receives the message, acknowledges it to ensure zero data loss, and instantly routes it to separate, isolated persistent queues:
  • Queue A absorbs the burst and feeds a real-time Risk Engine.
  • Queue B holds the message for an overnight Clearing house submission.
  • Queue C streams it to a regional regulatory audit log across the Atlantic.

Summary: The Separation of Concerns

Architectural NeedFront-Office Layer (AMPS)Enterprise Backbone (Solace)Primary FocusSpeed & Real-time StateResilience & Global DistributionData RetentionIn-memory SOW cache, fast journalsPersistent, guaranteed storage queuesHow Data is FilteredContent-based (SQL queries on payload)Topic-based (Hierarchical strings + wildcards)Typical ConsumerQuants, Matching Engines, HFT DesktopsRisk, Compliance, Settlements, Databases

By implementing this two-tier design pattern, systems architects don’t have to sacrifice speed for safety. They isolate the microsecond-sensitive front office inside an AMPS real-time data grid, while relying on Solace to securely broadcast the business outcomes across the global enterprise. It is a masterclass in using the right tool for the right job.

Have you implemented a multi-broker architecture in your enterprise? Let’s discuss your design patterns and challenges in the comments below.


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