RAKESH NEGI

• Implemented Kubernetes best practices, including resource quotas, pod disruption budgets, and horizontal pod autoscaling, to ensure high availability and efficient resource utilization.
• Defined and enforced SLIs/SLOs for Kubernetes workloads, integrating them into Azure Monitor and Datadog for continuous reliability tracking and alerting.
• Managed and optimized Azure DevOps pipelines, reducing build and deployment times by 35% through parallel jobs, caching, and YAML pipeline refactoring.
• Achieved a 15% reduction in Azure cloud spend by implementing cost-saving strategies, such as right-sizing AKS node pools, using spot instances, and leveraging Azure Reservations.
• Conducted regular cost analysis using Azure Cost Management, identifying underutilized resources, and recommending decommissioning or resizing actions.
• Integrated Azure Monitor, Datadog, and Grafana for full-stack observability across AKS clusters and DevOps pipelines, enabling proactive issue detection and resolution.
• Built custom Datadog dashboards and alerts to monitor Kubernetes cluster health, node utilization, and pipeline performance, improving MTTR by 30%.
• Used Datadog and Azure Cost Management APIs to simulate the cost impact of scaling decisions and workload migrations across environments.
• Created detailed cloud usage forecasts and adjusted budgets based on AKS usage trends, CI/CD activity, and business growth projections.
• Established a cost governance framework using Azure tags, budgets, and Power BI dashboards to track and report monthly savings and usage patterns.
• Applied FinOps principles to align Kubernetes and DevOps infrastructure costs with business goals, promoting financial accountability across teams.
• Collaborated with engineering and finance teams to implement resource tagging, chargeback models, and cost allocation strategies for transparent cloud billing.
• Proficient in Azure Cost Management, Azure DevOps, AKS, and Datadog for multi-cloud cost governance and performance monitoring.
• Developed and maintained Terraform modules for provisioning cost-optimized AKS clusters, Azure DevOps agents, and supporting infrastructure.
• Led incident response and root cause analysis for AKS and DevOps pipeline failures, reducing downtime, and improving system resilience through automation and observability enhancements.

Automated infrastructure provisioning using Terraform, enhancing deployment efficiency and consistency

• Developed a multi-cloud cost optimization strategy, achieving a 30% reduction in expenses
• Led the migration of microservices architecture from Azure ECS to Azure AKS, improving scalability and performance
• Implemented synthetic monitoring for API endpoints using Catchpoint /Datadog ensuring reliable performance
• Established real-time monitoring and troubleshooting solutions for both on-premises and cloud applications
• Proactively ensured the highest levels of system and infrastructure availability
• Prepared project plans and consistently monitored project milestones to ensure timely delivery
• Managed and implemented Application Performance Monitoring (APM), synthetic monitoring, infrastructure monitoring, and real user monitoring (RUM) using tools like AppDynamics, Catchpoint, ELK, New-Relic, DataDog, LogicMonitor, SolarWinds, and other similar tools
• Administered and implemented web (IIS) servers, hosted websites, and configured them as per requirements
• Deployed and administered load-balanced web applications and web services in Windows Server 2008 and 2012 environments
• Developed and maintained custom scripts to enhance system efficiency and reduce manual intervention
• Installed, configured, tested, and maintained operating systems, application software, and system management tools
• Experienced in performing weekend change activities such as upgrades, reboots, and application changes
• Administered and troubleshooted web applications, maintaining uptime and disk usage to ensure high availability
• Created, deployed, renewed, and managed SSL certificates
• Troubleshooted and analyzed application issues using tools like Dynatrace, AppDynamics, Extra-Hop, Catchpoint, Log Parser, and Process Monitor
• Provided 24x7 on-call support on a rotating basis, offering excellent support for production, staging, testing, and disaster recovery servers with extensive troubleshooting exposure
• Migrated legacy systems to the cloud, reducing operational costs and improving system stability.
• Designed and deployed scalable cloud architectures for improved application performance and reliability.
• Championed containerization initiatives using Docker/Kubernetes platforms that increased application scalability while reducing overheads associated with traditional virtualization techniques.

• Implemented real-time monitoring and troubleshooting solutions for cloud applications
• Configured S3 logging and enabled CloudTrail for API auditing to enhance security and compliance
• Designed and deployed a Dedicated VPC with Custom Route Tables, Public/Private Subnets, and Security Groups for improved network segmentation
• Automated AMI creation, encryption, and instance provisioning with Dedicated Tenancy, IAM role attachment, and CloudWatch monitoring
• Set up VPC Flow Logs, AWS Config Logs, and CloudWatch alerts for proactive monitoring and troubleshooting
• Configured Elastic IPs, integrated DNS management with GoDaddy/Route 53, and optimized network performance