Cloud
Azure · AWS · ACR · EC2 · S3 · VPC · IAM · Load Balancing
DEVOPS ENGINEER · CLOUD · AUTOMATION
Build it.
Automate it.
Run it reliably.
I’m Manish Kumar Singh, a DevOps Engineer focused on cloud infrastructure, Kubernetes, CI/CD, Infrastructure as Code and production reliability across Azure and AWS.
Open to DevOps opportunities
7+Years experience
Azure · AWSCloud platforms
AZURE✦AWS✦KUBERNETES✦TERRAFORM✦DOCKER✦CI/CD✦PROMETHEUS✦GRAFANA✦
AZURE✦AWS✦KUBERNETES✦TERRAFORM✦DOCKER✦CI/CD✦
01 / ABOUT
Infrastructure should be boring.
Delivery should be fast.
I work on the systems behind applications: cloud infrastructure, containers, deployment pipelines, monitoring and automation.
My day-to-day focus is turning manual and fragile processes into repeatable, observable workflows. I enjoy troubleshooting production issues, improving deployment reliability and building platforms that teams can operate with confidence.
7+Years in DevOps
2Major clouds
24×7Production mindset
IaCAutomation first
02 / TOOLBOX
The stack I work with.
Kubernetes
AKS · EKS · Deployments · Services · Ingress · Helm · RBAC · Autoscaling
IaC & Automation
Terraform · Ansible · Python · Bash · Linux · reusable infrastructure modules
CI/CD
Azure DevOps · Jenkins · GitHub Actions · Git · Docker · release strategies
Observability
Prometheus · Grafana · Loki · metrics · logs · alerting · dashboards
Web & Middleware
NGINX · Ingress · application gateways · MuleSoft · production troubleshooting
03 / SELECTED WORK
Projects that show how I think.
Cloud-native delivery platform
Designed a deployment flow from source control to container registry and Kubernetes, with environment separation, rollout/rollback procedures and operational checks.
Prometheus + Grafana monitoring
Built dashboards and monitoring workflows for infrastructure and Kubernetes workloads, with metrics and centralized logs through Grafana Loki.
Terraform cloud infrastructure
Automated repeatable infrastructure provisioning using Terraform, variables, outputs, dependencies and remote-state patterns suitable for team collaboration.
Production troubleshooting playbooks
Structured approaches for CPU spikes, disk pressure, failed pods, connectivity issues, deployment failures and safe rollback during production incidents.
04 / EXPERIENCE
A practical, automation-first approach.
DEVOPS ENGINEERING
Cloud & Platform Engineering
Designing and operating scalable Azure/AWS environments, Kubernetes platforms and infrastructure automation.
DELIVERY
CI/CD & Release Automation
Building deployment pipelines, container workflows, environment promotion, testing and rollback strategies.
RELIABILITY
Monitoring & Production Support
Using metrics, logs and dashboards to troubleshoot incidents and improve reliability and operational visibility.
05 / WRITING
DevOps notes & practical guides.
01 · KUBERNETES
How Kubernetes schedules a Pod
Requests, limits, taints, tolerations, affinity and the scheduler flow.
Read article → 02 · TERRAFORMImplicit vs explicit dependencies
How Terraform builds its dependency graph and when to use depends_on.
Read article → 03 · AZUREAKS upgrade: what happens?
Control plane, node pools, pod disruption and safer upgrade planning.
Read article →06 / CONTACT
Let’s build something
reliable.
For DevOps opportunities, technical discussions or collaboration, connect with me online.