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I will design AWS azure cloud architecture and observability platform
About this Gig
Reduce downtime, automate incident response, and improve platform reliability with AI-powered self-healing solutions.
I am a Cloud & Platform Engineering Leader with 13+ years of experience building enterprise-scale cloud platforms, observability systems, and automation frameworks across AWS, Azure, and Kubernetes environments.
I have successfully designed and implemented AI-driven self-healing platforms that automatically detect incidents, perform root cause analysis, trigger remediation workflows, and provide actionable operational insights.
Services Include:
Infrastructure & Application Observability
AI-Powered Incident Detection
Automated Root Cause Analysis
Self-Healing Automation Workflows
Kubernetes Monitoring & Reliability Engineering
Grafana, Prometheus, OpenSearch & ELK Implementations
CloudWatch, Azure Monitor & Multi-Cloud Monitoring
Terraform-Based Infrastructure Automation
SRE & Operational Excellence Consulting
Deliverables:
Architecture Design
Monitoring Dashboards
Alerting & Event Correlation
Automated Remediation Workflows
Runbooks & Documentation
Deployment & Knowledge Transfer
Supported Technologies:
AWS, Azure, Kubernetes, Terraform, Python, Grafana, Prometheus
Cloud provider:
Amazon Web Services
Expertise:
Installation
•
Backup
•
Migration
•
Debugging
•
Development
Cloud computing resource:
EC2
•
Lambda
•
ELB
•
Route53
•
VPC
My Portfolio
FAQ
What makes you different?
I have led the design and implementation of enterprise-scale AIOps and self-healing platforms that reduced incident resolution times by 60–70% through automation, observability, and intelligent remediation workflows.
Can you work with existing environments?
Yes. I can assess, modernize, and automate existing AWS, Azure, Kubernetes, and hybrid environments.
Do you provide architecture diagrams and documentation?
Yes. All engagements include architecture recommendations, documentation, and knowledge transfer.

