WootCloud, acquired by Netskope, is an enterprise IoT cybersecurity company that helps organizations detect, prevent, and remediate security threats across a growing universe of unmanaged smart devices. Their platform analyzes radio and network spectrum to assess risk in real time, offering critical context for every connected device.
The Challenge
As demand grew, WootCloud’s platform began to struggle:
EC2-based infrastructure required too much manual server management
Large data files caused crashes and delays in threat detection
Data was siloed, making it hard to aggregate and process in real time
Buggy legacy code limited performance and scalability
UX/UI was outdated and complex to extend
Infrastructure was expensive, with high idle-time costs
The Solution
NaNLABS led a full-stack modernization, including:
Cloud & Data Infrastructure
Replaced EC2 with a serverless architecture using AWS Lambda, reducing operational burden and idle cost
Built a scalable backend with MongoDB and Elasticsearch to centralize data and enable high-speed indexing
Deployed Apache Kafka and Apache Spark to support real-time data pipelines and large-scale processing
Implemented AWS S3 for secure, data storage and backups
Machine Learning Enhancements
Refined WootCloud’s AI/ML models for improved anomaly detection and classification
Enhanced data quality to reduce false positives and improve signal-to-noise ratio
Codebase Stability
Cleaned up buggy legacy code and implemented automated testing across the board
Tools used: pytest, Jest, SonarQube, Cypress
Frontend Modernization
Migrated to ReactJS and created modular, reusable components with Storybook
Built interactive charts using Highcharts and D3.js to visualize threat intelligence in real time
Agile Integration
Embedded into WootCloud’s engineering team with structured agile ceremonies and sprint planning
From reactive firefighting to predictable sprint-based velocity
DevOps & Cost Optimization
AWS monitoring tools to track usage and optimize spend
Reduced manual deployment overhead through CI/CD pipelines
The Results
40% faster data processing
enabling real-time threat detection and mitigation
25% improvement in anomaly detection accuracy
by enhancing machine learning workflows
44% cost savings
on server infrastructure via AWS serverless
3x reduction in debugging time
by implementing automated testing frameworks and performing extensive codebase clean-up
Improved team velocity
allowing WootCloud’s engineers to focus on product growth instead of infrastructure firefighting
Stronger platform scalability
ready to handle increasing data volumes and new threat detection use cases, allowing WootCloud’s engineers to focus on product growth
“We weren’t expecting more than a 20% reduction, but when we saw the final numbers, the bill was 44% lower. It was a game-changer.”
CTO at WootCloud
Need to process massive volumes of datain real time, without scaling headaches?
