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Real-Time, Event-Driven Platform with Python, Kafka, and AWS

Keyhole Software is supporting a client in the engineering and infrastructure sector with a custom platform designed to automate and streamline customer service operations. A two-person Keyhole team led the architecture and delivery of a real-time service portal, enabling operational insights for existing clients and generating new revenue opportunities.

  • Key challenge: Integrating disparate data sources while maintaining a flexible data format.

Core Functionality

The platform integrates alerts from client-owned devices with third-party systems like Jira and Swimlane, providing a unified experience for service response and ticket management. To facilitate event-driven communication across disparate data sources, our consultants implemented Apache Kafka as a message queue. Using Python and Faust, they developed a suite of microservices to process, normalize, and route event data across internal and external APIs.

The solution was deployed on Amazon Web Services (AWS), utilizing PostgreSQL and DocumentDB for scalable data storage. The front end was built in Next.js, delivering an intuitive and responsive user experience.

  • Real-Time Alert Processing
    Integrated alerts from field devices into a central platform, providing real-time visibility and response coordination.
  • Event-Driven Architecture
    Utilized Apache Kafka as a message queue to manage data flow between internal systems and third-party tools like Jira and Swimlane.
  • Python-Based Automation
    Developed microservices with Python and Faust to:

    • Translate and normalize event data
    • Route messages to appropriate services
    • Ensure seamless cross-platform communication
  • API Integration & Interoperability
    Built robust integration pipelines to connect external systems with minimal latency and high reliability.

Scalable Cloud Infrastructure

  • Deployed entirely on Amazon Web Services (AWS)
  • Leveraged PostgreSQL and DocumentDB for flexible, scalable data storage
  • Implemented real-time health checks, automated testing, and caching strategies to enhance performance and resiliency

Results & Impact

With minimal upfront specifications, our consultants defined key system architecture decisions, introduced caching layers to reduce latency, built automated tests to enhance stability, and implemented real-time system health checks. The client has since extended the engagement to cover additional functionality, reflecting satisfaction with the solution’s flexibility and performance.

  • Enabled seamless operations across multiple systems with a unified portal
  • Delivered a scalable, production-ready architecture with minimal initial requirements
  • Supported the client’s strategic goal of creating new revenue channels through service-based offerings
  • Project success led to a contract extension and expanded scope of work

Team Highlights

  • Led by a two-person Keyhole Software team with deep experience in Python automation and enterprise system design
  • Delivered results with minimal oversight, while collaborating closely with client stakeholders
  • Applied architectural patterns and integration strategies that inform future Keyhole client solutions

This project showcases Keyhole Software’s ability to lead with Python automation, system integration, and cloud-native architecture—helping organizations unlock new value through modern, resilient software systems.


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