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DevOps Modernization and Infrastructure Optimization for High-Scale Metric Ingestion Platform

scalac.io

Information technology

Challenges

Indeni faces challenges in ingesting a high rate of metrics from numerous devices into its system for storage and display. The existing infrastructure is struggling to handle the increasing data volume, leading to potential performance bottlenecks and operational complexities. The need to manage a catalog of DApps and ERC721 token-based ad space further adds to the complexity.

About the Client

Indeni is a technology company developing a platform for analyzing a high volume of data from connected devices. The platform includes a catalog of decentralized applications (DApps) and manages ad space using ERC721 tokens.

Objectives

Implement a scalable and efficient system for ingesting high volumes of metrics.
Optimize infrastructure costs to reduce operational expenses.
Improve system performance and reliability to ensure continuous availability.
Enhance the maintainability and automation of the platform's infrastructure and deployments.
Modernize the platform's DevOps practices for faster development cycles.

Functional Requirements

High-throughput metric ingestion pipeline
Scalable data storage solution
Real-time data processing capabilities
Integration with the existing DApp catalog and ERC721 token management system
Monitoring and alerting system for data ingestion pipeline health

Preferred Technologies

Docker

Kubernetes

Prometheus

Grafana

Kafka

Required Integrations

Existing device data sources
Existing DApp catalog API
ERC721 token management system API

Non-Functional Requirements

High scalability to handle increasing data volumes
Low latency for data ingestion and processing
High availability and fault tolerance
Robust security measures to protect sensitive data
Automated deployment and infrastructure management

Expected Business Impact

This project is expected to significantly improve Indeni's ability to analyze data from connected devices, leading to better insights and more effective decision-making. The optimized infrastructure and automated DevOps processes will reduce operational costs, improve system reliability, and accelerate development cycles. The ability to ingest and process data at scale will enable Indeni to expand its platform's capabilities and address new market opportunities.