Modernizing Mission Critical Messaging Infrastructure for a Public Safety Platform

A leading software provider that serves local governments and public safety agencies operates a large scale platform used by emergency dispatch centers, police departments, courts, and correctional facilities.

One of the core applications in the platform is a Computer Aided Dispatch (CAD) system used by emergency call centers to coordinate real time response for police, fire, and emergency services.

The CAD system processes high volumes of real time operational data, including:

• emergency call intake

• incident tracking

• unit dispatch and coordination

• officer field updates

• court and records integrations

The application is used in large metropolitan dispatch centers where operators often run the system across multiple monitors simultaneously and depend on near real time data synchronization across many users and field devices.

As part of a broader cloud modernization initiative, the client needed to redesign the internal messaging infrastructure that connects multiple components of the CAD platform.

Challenge

The existing system relied on a legacy messaging broker built on older WCF based infrastructure that was originally designed for on premises deployments.

While the system had served the product for many years, it presented several challenges as the client moved toward cloud native architecture:

• The messaging system was not designed for cloud reliability patterns such as intermittent connectivity, latency variability, and distributed nodes.

• The architecture needed to support high reliability pub sub messaging across many concurrent clients, including dispatch workstations and field units.

• Internal messaging traffic involved thousands of event types and objects, increasing the complexity of maintaining and evolving the system.

• Leadership had proposed replacing the messaging layer with AWS AppSync, assuming it could function as a modern pub sub messaging broker.

However, early analysis suggested the proposed approach might not support the ordering guarantees, reliability requirements, and cost efficiency needed for a mission critical dispatch system.

The client needed to quickly determine:

1. Whether the proposed cloud solution was viable

2. What architectural alternatives existed

3. How to modernize the messaging infrastructure without disrupting the existing platform

Connective Approach

Connective conducted a targeted architecture discovery and validation effort to evaluate the feasibility of the proposed solution and identify a more resilient messaging architecture.

The team analyzed the current CAD messaging system, including:

• legacy event broker architecture

• internal messaging contracts and event models

• reliability and ordering requirements

• expected message throughput and scaling needs

This analysis revealed that the system required strict message ordering, high reliability delivery, and extremely low latency, which are critical for emergency dispatch environments.

Rather than relying on documentation alone, Connective built working proof of concept environments to test potential architectures.

Using AI assisted development tools, the team rapidly built a test environment that simulated:

• multiple messaging clients

• distributed messaging nodes

• high throughput event publishing

• failure and recovery scenarios

The proof of concept allowed the team to evaluate how the proposed AWS service behaved under realistic conditions.

Testing revealed several limitations:

• lack of guaranteed message ordering

• limited retry and durability features

• cost scaling issues for pub sub workloads

These findings demonstrated that the proposed solution would not meet the platform’s operational requirements.

Connective evaluated alternative messaging frameworks and identified RabbitMQ as a more appropriate architecture for the client’s needs.

A second proof of concept environment was developed to validate:

• clustered RabbitMQ node architecture

• client failover behavior

• message ordering guarantees

• system recovery from node failures

• zero downtime upgrade scenarios

A lightweight test harness was built to simulate multiple dispatch clients and messaging flows, allowing stakeholders to observe system behavior in real time.

This approach enabled the client’s engineering team to directly see how the architecture would perform under production like conditions.

Connective delivered:

• architecture documentation

• proof of concept source code

• operational configuration guidance

• recommended backlog for implementation

The work provided the client’s internal engineering team with a clear roadmap for implementation and reduced uncertainty around a critical system component.

Outcomes

The discovery effort prevented adoption of a cloud service that would not have met the platform’s reliability and scaling requirements.

RabbitMQ was validated as a solution capable of delivering:

• reliable pub sub messaging

• message ordering guarantees

• resilient multi node failover

• compatibility with both cloud and on premises deployments

By validating the architecture through proof of concept environments, the client gained confidence before committing engineering resources to full implementation.

The delivered prototypes, documentation, and architectural guidance allowed the internal team to begin implementation immediately.

The new architecture supports the client’s broader goal of making the CAD platform more cloud friendly and scalable for large municipalities.

Key Takeaway

Modernizing legacy systems requires more than replacing components with cloud services. By combining architecture discovery, rapid prototyping, and real world validation, Connective helped the client identify a solution that balanced reliability, scalability, and operational cost for a mission critical public safety platform.