Ellocent Labs IT solutions
Jan 22, 2026
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Revolutionizing Aviation Data with a Cloud-Native, Real-Time Analytics Platform
Completed

Revolutionizing Aviation Data with a Cloud-Native, Real-Time Analytics Platform

$50,000+
7-12 months
United States
2-5
view project
Service categories
Service Lines
Artificial Intelligence
Big Data
Software Development
DevOps
Domain focus
Other
Travel & Hospitality
Programming language
Java
JavaScript
Python
Frameworks
React.js
Spring
Subcategories
Big Data
Data Analytics
Software Development
Enterprise Software
DevOps
Kubernetes

Challenge

The client’s existing system posed significant barriers to growth and performance:

  • Delayed insights due to batch-based data processing, resulting in hours of latency
  • High infrastructure costs caused by always-on, underutilized on-premise servers
  • Inability to scale dynamically during peak flight and data ingestion periods
  • Operational risk and downtime during manual deployments
    Limited real-time visibility into system performance and aviation operations

These challenges prevented the platform from meeting enterprise customer expectations and limited its ability to support future innovation.

Solution

Ellocent Labs delivered a modern, cloud-native aviation data platform designed for scalability, performance, and resilience.

  • Re-architected the system from a monolithic setup to a microservices-based architecture
  • Implemented event-driven, real-time data streaming for continuous ingestion
  • Adopted serverless and managed cloud services to reduce costs and operational overhead
  • Enabled Infrastructure as Code (IaC) for consistent, automated provisioning
  • Built CI/CD pipelines with blue-green deployments to eliminate downtime
  • Introduced centralized monitoring, logging, and analytics dashboards
  • Ensured enterprise-grade security, encryption, and access control

This approach allowed the platform to scale automatically with demand while delivering near-instant insights to end users.

Results

The transformation delivered strong, measurable outcomes:

  • ~50% reduction in infrastructure costs through serverless and autoscaling services
  • Data processing latency reduced from hours to near real time
  • Improved system reliability with high availability and fault tolerance
  • Faster, risk-free deployments with zero downtime releases
  • Enhanced operational visibility through live dashboards and alerts
  • Engineering teams shifted focus from infrastructure management to innovation and analytics