Your API receives three requests per hour on weekdays and zero on weekends, but your VM runs 24/7 costing you $70 a month. That is the exact problem serverless computing solves. Azure Functions lets you write code that runs only when triggered — and you pay only for execution time measured in milliseconds. No server provisioning, no capacity planning, no idle compute burning money.
151 posts tagged with "DevOps"
DevOps practices, CI/CD, and automation
View All TagsYou have read about the Golden Signals and the three pillars of observability. Now it is time to stop theorizing and start measuring. In this post, we will set up a complete monitoring stack — Prometheus for metrics collection, Grafana for visualization, node_exporter for system metrics, and Alertmanager for routing alerts to Slack. All running locally with Docker Compose, all production-ready patterns.
Helm Charts — The Package Manager for Kubernetes
You just deployed an NGINX ingress controller with one Helm command and it provisioned a Deployment, a Service, a ConfigMap, an IngressClass, RBAC roles, and a ServiceAccount — all wired together correctly. Imagine writing those 400+ lines of YAML by hand. That is the problem Helm solves.
Your app crashes at 3 AM and nobody restarts it — systemd can fix that forever. Systemd is the init system and service manager on virtually every modern Linux distribution, and understanding it is non-negotiable for DevOps work.
Your Terraform code works perfectly in dev. Now you need the same infrastructure in staging and production, but with different instance sizes, different CIDR blocks, and different resource counts. You could copy the entire directory three times. Or you could use workspaces — Terraform's built-in mechanism for managing multiple instances of the same configuration with isolated state.
You've been clicking through the AWS Console for weeks, creating VPCs, subnets, security groups, and EC2 instances by hand. Then someone says "recreate this in the staging account." Suddenly, your 47-step runbook doesn't feel so clever. CloudFormation fixes this: you describe your infrastructure in a YAML file, and AWS builds it exactly the same way every single time.
