Serverless Application Monitoring & Observability System
Project Overview
Developed a robust serverless application monitoring and observability system for CloudaEye, focusing on real-time metric collection and visualization.
Leveraged AWS Lambda for serverless computing and CloudWatch for metrics, ensuring scalability and cost efficiency.
Built a sophisticated dashboard using React and Plotly to provide actionable insights into customer environments.
Key Achievements
Efficient Metrics Collection
Designed custom agents for secure and efficient metric collection, utilizing AWS CloudWatch and Lambda functions for seamless data handling.
Real-time Data Processing
Implemented data pipelines with Logstash for real-time ingestfion and transformation, integrated with Elasticsearch for effective data indexing and storage.
Interactive Dashboard
Developed a user-friendly dashboard with React and Plotly for dynamic data visualization, providing real-time insights with analytical tools for metric analysis.
Technologies Used
Cloud Computing
AWS Lambda, CloudWatch
Data Pipeline
Logstash, Elasticsearch
Frontend
React, Plotly
Backend
Python, Flask, Node.js
Challenges Overcome
Metric Diversity
Managed a wide range of metrics with diverse data formats efficiently by implementing a flexible schema design and data normalization pipeline.
Scalability
Ensured the system could scale to accommodate a growing customer base through serverless architecture and dynamic resource allocation.
Secure Data Collection
Built custom agents for secure data collection adhering to privacy standards with end-to-end encryption and secure authentication mechanisms.
Real-time Processing
Designed Logstash-based pipelines for seamless data transformation capable of handling high-volume data streams with minimal latency.
Project Impact
- Successfully delivered a scalable and cost-efficient monitoring system.
- Enhanced CloudaEye's capabilities to provide real-time insights to customers.
- Improved operational efficiency through comprehensive observability and monitoring.
- Reduced monitoring costs by 40% while increasing data collection capabilities.
Conclusion
The project's success in building a serverless monitoring system with an advanced dashboard showcases the ability to design scalable, secure, and efficient cloud solutions. The innovative use of AWS services, combined with a modern tech stack, highlights proficiency in both backend and frontend development, making this a standout addition to the portfolio.
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