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rajeshuitbu/README.md

Hi 👋, I'm Rajesh Kumar

Cloud, DevOps & SRE Engineer | VoIP & Unified Communications Specialist | UCaaS Enthusiast

I am passionate about building reliable, scalable, and observable systems in cloud and on-prem environments.
I have over 11 years of experience working with VoIP, DOCSIS, CMTS, SBCs, Asterisk, and Unified Communications, along with strong expertise in AWS, Kubernetes, DevOps, and SRE practices.

I focus on automation, monitoring, and end-to-end reliability across telephony, cloud, and hybrid infrastructures. I enjoy analyzing SIP call flows, troubleshooting contact centers, and designing self-healing communication systems.

🔧 Skills & Technologies

Cloud & DevOps / SRE:
AWS
Terraform
Kubernetes
Docker
GitHub Actions

Monitoring & Observability:
Prometheus
Grafana

VoIP & Unified Communications:
Asterisk
SIP
SBC
UCCaaS

Programming & Automation:
Python
Bash

🏆 Featured Projects

1. voip-load-orchestrator

A cloud-native SIP load testing framework using AWS ECS, SIPp, and Python.

  • Automated SIP call generation and reporting
  • Metrics integrated with Prometheus & Grafana
  • Simulates thousands of concurrent VoIP calls

2. Self-Healing SIP Service

Automates dynamic call routing and failover in UC environments.

  • Detects failed endpoints or call paths
  • Automatically reroutes traffic to healthy paths
  • Integrated monitoring dashboards for observability

3. SIP Monitoring & Analytics

Real-time SIP metrics collection and analysis.

  • Tracks call attempts, failures, retransmissions, and response codes
  • Parses SIPp and Asterisk logs
  • Dashboards built with Grafana

4. Cloud Observability Playground

Sample projects demonstrating monitoring & alerting in AWS & Kubernetes.

  • Prometheus + Grafana dashboards
  • Alerts and notifications setup
  • Terraform-based environment for testing

📈 GitHub Stats

Rajesh's GitHub stats

📫 Connect with Me

Email

“Automating everything, observing everything, and making communications smarter.”

Popular repositories Loading

  1. sip-performance-observability- sip-performance-observability- Public

    SIP Performance Observability with Asterisk, SIPp, Prometheus, Telegraf & Grafana

    Shell

  2. voip-observability-elk-stack voip-observability-elk-stack Public

  3. Terraform-aws-deployment Terraform-aws-deployment Public

    Provision AWS services using modular Terraform code with variables, outputs, and reusable component

    HCL

  4. terraform-serverless-feedback-app terraform-serverless-feedback-app Public

    Deploy a fully serverless web application on AWS using Terraform, integrating multiple AWS services like API Gateway, Lambda, DynamoDB, S3, and CloudFront.

    HCL

  5. voip-load-orchestrator voip-load-orchestrator Public

    Cloud-native SIP load testing with SIPp, AWS Fargate, and Python.

  6. AudioCodes-vSBC-Observability-in-AWS-Cloud-Native- AudioCodes-vSBC-Observability-in-AWS-Cloud-Native- Public

    NOC Dashboard for AudioCodes vSBC using AWS, Prometheus, Grafana, and ELK Stack. Cloud-native observability solution for SIP Trunks, Active Calls, and SBC metrics with alerting and visualization.