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Development of AI-Driven No-Code Automation Platform for Enhanced Site Reliability Engineering (SRE) Workflows

blackthorn-vision

Information technology

Business Challenges

Existing cloud automation platforms lacked differentiation, requiring advanced AI capabilities to reduce manual intervention in incident response. SRE teams faced inefficient workflows due to fragmented tools, manual runbook creation, and insufficient proactive system health monitoring.

About the Client

AI-powered automation platform provider for DevOps and SRE teams

Project Goals

Develop no-code/low-code automation solutions powered by AI/ML
Implement text-to-code generation for runbook automation
Create customizable modern UI for workflow configuration
Integrate AI-driven incident response and troubleshooting
Establish automated health checks for proactive system monitoring

Core System Requirements

Automated health checks for applications/API services
AI-powered incident response automation
Event-driven workflow configuration
Configurable user onboarding processes
Scheduled long-running job execution
Automated approval workflows
Action database management system
AI assistant for solution recommendations

Technology Stack

Golang

Python

Kubernetes

AWS

Terraform

CloudFormation

Jenkins

CircleCI

Prometheus

React

Node.js

Jupyter

System Integrations

Slack communication platform
Existing DevOps toolchains
Cloud monitoring services
Identity management systems

Quality Attributes

Horizontal scalability for enterprise adoption
Real-time processing performance
Enterprise-grade security controls
High system availability (99.99%)
Modular architecture for future enhancements

Business Value

Enables 60% faster incident resolution through AI automation, reduces operational costs by minimizing manual intervention, and provides self-learning capabilities that decrease recurring issues by 40%. The platform's adaptability supports organizations from startups to enterprises while maintaining compliance with industry standards through AI-enforced best practices.