65 DevOps Jokes Every Engineer in the Pipeline Has Lived

"Is the deploy done?" "It's deploying." "How long?" "Yes."

DevOps is the culture of blaming YAML indentation in front of management.

The pipeline passed locally. The pipeline always passes locally.

I have eight monitoring tools and none of them tell me what is broken.

Rollback plan: Step 1: pray. Step 2: refresh the dashboard. Step 3: act surprised.

"Who has access to prod?" Silence. "Right, everyone, then."

The CI job failed because a dependency we did not pin updated itself overnight.

Infrastructure as code, except half of it is a Confluence page from 2019.

"The pipeline is flaky." Translation: I have given up understanding it.

Every DevOps engineer has the same recurring nightmare: Uncommitted changes on a server nobody can SSH into anymore.

I do not write code. I write YAML that writes code that writes more YAML.

The blast radius of a single Terraform apply is somewhere between a typo and a resume update.

"It builds on my machine." "Then we will ship your machine."

Senior engineers can sense a misconfigured load balancer the way dogs sense thunder.

DevOps interview question: "Walk me through what happens when you push a commit." Correct answer: "Honestly, I am still figuring that out."

The deploy completed successfully. The service is also down. These facts are unrelated, apparently.

We have a runbook. It is six months out of date and references a tool we no longer use.

"Just spin up a new environment." That sentence has cost me entire weekends.

The cheapest part of cloud infrastructure is the demo. Everything after that is a negotiation.

I have a folder called `scripts` and a folder called `scripts-old`. Neither is safe to delete.

"We follow GitOps." Meaning: we have a manual step nobody documented.

The on-call rotation includes one person who has been on vacation for two weeks and one who quit last month.

The Terraform state file is the single most important file in the company and lives in an S3 bucket nobody remembers creating.

"Why is the build slow?" Because we cache nothing and rebuild everything from scratch every time, like artisans.

The post-mortem identified six root causes. We addressed two.

Kubernetes solved one problem and created a job category.

"The metrics look fine." The customer says the app is down.

I do not have impostor syndrome. I have a dashboard that does not match what is happening in production.

The DevOps handover document is a Slack DM from the previous engineer that just says: "good luck, sorry."

There are two states for a CI runner: On fire, or about to be.

"We will fix it in the next sprint." It has been in the next sprint for two years.

The most expensive line in any cloud bill is the one nobody can identify.

I once tried to delete an unused IAM role. Three services went down. I added a comment saying "important" and walked away.

Real DevOps maturity is admitting you copy your last working Helm chart and edit the names.

"Self-healing infrastructure." It heals by restarting until the alert stops paging.

The deploy pipeline has 47 stages. Forty-six of them are linting.

"Did the migration finish?" "It's at 99%." "How long has it been at 99%?" "...three hours."

Disaster recovery plan: A Google Doc that has not been opened since the offsite.

The most reliable monitoring tool in production is a customer in a support ticket.

"We need observability." We have nine tools that each show one quarter of the picture.

The cost of switching cloud providers is two years and a vice president's reputation.

There is no such thing as a temporary feature flag. There are only flags older than the engineer who added them.

"Why is staging different from production?" One is loved. The other is real.

A junior engineer ran `terraform apply` on the wrong workspace. The whole team learned what idempotent does not actually mean.

DevOps culture: Everyone owns the pipeline. The pipeline is broken. Nobody owns the pipeline.

The shortest blameless post-mortem I ever read was four pages of names.

Secret management is just deciding which env file you trust the most.

"Zero downtime deploy." The deploy was zero downtime. The app was down for other reasons.

I added a single line of YAML. Three namespaces stopped resolving.

The DORA metrics say we are an elite performer. The customer says the login page is broken.

"How do we improve deploy frequency?" Stop deploying things that break.

Our SLO is 99.9%. Our actual uptime is whatever the public status page says it is.

There are two kinds of engineers in a major outage: The ones in the war room and the ones who turned their Slack notifications off.

The pipeline retries failed jobs three times. Flaky tests have learned to behave on the third attempt.

"We should automate this." It is now a manual step inside an automated process.

Every alerting rule in the system was added in response to a specific outage and nobody remembers which one.

I do not deploy on Fridays. I deploy on Thursdays at 4:45 and tell myself that is different.

The Helm chart works. The Helm chart values file works. The combination is undefined behavior.

"What does this Bash script do?" Nobody knows. It has been in the deploy pipeline since 2018.

The kubectl command I needed was in a Slack message from a former coworker. The workspace was archived last month.

"We are platform engineers now." Same on-call rotation, fancier title.

The fastest way to expose a security gap is to give a new hire admin access for their first week.

I trust my pipeline the way I trust a vending machine. Most of the time it works. The rest of the time I lose a dollar and rage-shake it.

The infrastructure team and the application team agree on one thing: The other team's monitoring is worse.

DevOps is mostly explaining to someone in a meeting that the thing they want already exists, but they cannot find it because nobody documented it.