Running terraform apply from your laptop works fine when you are the only engineer. The moment a second person joins the team, you need a pipeline. CI/CD for Terraform ensures every change is reviewed, planned, and applied through a consistent process — no more "I ran apply from my machine and forgot to commit the code."
151 posts tagged with "DevOps"
DevOps practices, CI/CD, and automation
View All TagsYou find a database password hardcoded in a Python file. Someone committed an AWS access key to a public GitHub repository three months ago, and it has been scraped by bots ever since. The production .env file is shared via Slack DM. These are not hypothetical scenarios — they happen every day, at companies of every size. In 2023, GitGuardian detected over 12 million hardcoded secrets in public GitHub commits. Secrets management is not optional. It is a fundamental requirement for any serious engineering team.
Your application handles 100 requests per second during the day and 10,000 during flash sales. Running enough pods for peak traffic wastes money 95% of the time. Running too few means your app crashes when traffic spikes. Autoscaling solves this by matching your pod count and resource allocation to actual demand in real time.
Parse a 10GB log file in seconds — no Python needed. These three commands — grep, sed, and awk — are the most powerful text processing tools in Linux. Master them and you'll handle log analysis, data transformation, and configuration management faster than any scripting language.
Terraform's HCL language has no user-defined functions, but it ships with a rich library of built-in functions that handle everything from string manipulation to CIDR math. Knowing these functions is the difference between clean, maintainable configurations and sprawling hacks with hardcoded values everywhere.
Your load balancer is distributing traffic perfectly across three servers. Then a marketing campaign goes live and traffic triples in ten minutes. Two of your servers hit 100% CPU, response times spike to 8 seconds, and users start dropping off. You needed six servers, not three — but only for the next four hours. Auto Scaling adds and removes capacity automatically so you stop paying for servers you don't need and stop losing customers when you don't have enough.
