KALI PRASAD DEVARASETTI

• Led the deployment of 10+ bare-metal racks and orchestrated Kubernetes clusters, enhancing system scalability
• Engineered instrumentation setup for Golang and Python Microservices, integrating Fluentd and
• Kafka on Kubernetes for real-time event transmission to a custom dashboard, enhancing system observability and performance monitoring
• Successfully resolved over 20 complex rack-related challenges, including Kubernetes ingress issues and network discrepancies, thereby ensuring system stability and optimizing performance
• Addressed critical storage challenges, particularly by resolving issues with Kadalu storage PVCs, which enhanced data accessibility and system reliability
• Deployment and Automation:
• Automated the deployment of 50+ Helm charts across 5 clusters using Ansible, reducing deployment times by 25% and improving deployment consistency
• Developed and implemented robust GitLab CI/CD pipeline for Helm chart packaging and updates, significantly streamlining deployment processes and reducing manual interventions

AWS Cloud and DevOps:

• Developed custom Python automation scripts using Boto3 to manage AWS IoT Core and Lambda
• Edge associations, tailored to project-specific needs
• This initiative bridged gaps where existing
• Ansible modules fell short
• Streamlined deployment processes by orchestrating Python automation through GitLab CI/CD pipelines, reducing the need for local dependency installations, which improved deployment speeds by 80%
• Provided essential on-call support, effectively mitigating release-related issues
• DevOps Transition and Infrastructure Enhancement:
• Drove the team's adoption of modern DevOps technologies from legacy tools, resulting in successful multi-region automation strategies
• Implemented multi-regional failover with AWS Global Accelerator and migrated from Classic Load
• Balancer to Application Load Balancer
• Developed insightful Global Accelerator endpoint-based metrics, established CloudWatch alarms, and facilitated SNS topic subscriptions, improving monitoring capabilities
• Designed backend architecture by implementing health checks for backend services within Global Accelerator, enhancing system responsiveness and uptime.

AWS Cloud Infrastructure and Automation:

• Led the transfer of AWS ALB access logs from S3 to AWS CloudWatch, implementing a serverless solution with Terraform to create Lambda functions, IAM roles, and policies
• Configured and fine-tuned health check intervals for ECS services and deployed CloudWatch alarms for RDS instances
• Collaborated on a migration project involving Kubernetes and ECS services
• Serverless and Custom Python Modules:
• Conducted a comprehensive POC for AWS Lambda deployment using Terraform, highlighting scalability and efficiency
• Developed custom Python modules for Lambda and showcased their flexibility using Lambda Layers
• Kubernetes and DevOps Transition:
• Led the containerization of machine learning services and transitioned Docker configurations to
• Kubernetes manifests
• Deployed and managed AWS EKS clusters, integrated with AWS ALB Ingress Controller, and utilized
• Terraform for infrastructure-as-code practices.

• Assisted in the development and maintenance of software applications, gaining initial exposure to the software development lifecycle
• Collaborated with senior engineers on system automation tasks, contributing to scripting and automation using Bash and Python, setting the stage for later expertise in more advanced DevOps tools
• Engaged in weekly technical learning sessions and hands-on workshops focused on emerging technologies in cloud computing and infrastructure as a service (IaaS), cultivating a strong foundational understanding.