Dinesh Sandilyan
Building reliable AWS infrastructure, automated deployments, and production systems that scale.
My DevOps Stack
Technologies I work with to build, deploy and maintain reliable infrastructure.
Tools I work with daily
Production-proven tools across cloud, automation, containers, CI/CD, and observability.
Work experience
10 years of professional experience, including 6+ years in DevOps, across hybrid datacenters, on-premises, and AWS cloud-native environments.
- Designed hybrid infrastructure across datacenter, on-premises, and AWS
- Automated provisioning with Terraform and Ansible at scale
- Managed containerized workloads with Docker and Amazon ECS
- Built centralized observability — Grafana, Prometheus, New Relic, CloudWatch
- Implemented AWS WAF dashboards and firewall-level security controls
- Reduced alert noise through systematic alert tuning and runbook automation
- Remote infrastructure support across Windows and Linux environments
- Server deployment, WDS configuration, enterprise network troubleshooting
- Maintained uptime and operational stability across production endpoints
- Managed Linux/Windows servers, networking, Active Directory
- Application-level troubleshooting and infrastructure asset management
Production Troubleshooting
Investigation areas across cloud infrastructure, delivery, containers, databases, and observability.
Featured DevOps Projects
Project case studies covering architecture, automation, deployment, and observability.
Kubernetes Autoscaling with EKS and KEDA
Case study
- Problem
- Scale Kubernetes pods using queue demand.
- Solution
- Use KEDA with Prometheus custom metrics and queue thresholds to drive horizontal pod scaling.
- Architecture
- Prometheus → KEDA → EKS node group / Auto Scaling Group.
- Implementation
- Configure queue thresholds and infrastructure with Terraform.
- Key challenge
- Connect queue metrics to Kubernetes scaling signals.
GitOps Argo CD Deployment
Case study
- Problem
- Keep an EKS cluster aligned with a Git-managed desired state.
- Solution
- Use Argo CD to sync declarative configuration, with Helm templates and Vault secrets orchestration.
- Architecture
- Git repository → webhook → Argo CD → EKS reconciliation.
- Implementation
- Define deployment configuration with Helm chart templates and coordinate secrets with Vault.
- Key challenge
- Keep cluster state and deployment configuration consistent while managing secrets.
Serverless Data Ingestion
Case study
- Problem
- Process incoming events through a serverless API flow.
- Solution
- Use API Gateway to invoke Lambda and store processed data in DynamoDB.
- Architecture
- API Gateway → Lambda → DynamoDB.
- Implementation
- The listed stack includes Terraform and CloudWatch alongside AWS Lambda.
- Key challenge
- Coordinate API request handling, serverless processing, and persistent storage.
Certifications
AWS cloud operations and Cisco networking credentials.
Training: Understanding Cisco Network Devices · Cisco · Level 200
From the terminal
Real-world DevOps write-ups, tutorials, and deep-dives from production experience.