Deployment Isn't the Hard Part. Recovery Is.
When I first started learning DevOps, I thought deployment was the destination.
Build the application.
Push the code.
Deploy to production.
Repeat.
Simple.
At least that's what most tutorials make it look like.
The deeper I went into cloud engineering, the more I realized that production systems don't care how beautiful your CI/CD pipeline is.
Production only cares about one thing:
Can the system survive when something goes wrong?
That question completely changed how I think about engineering.
The Problem With Most Learning Paths
Most people learning DevOps spend countless hours understanding deployment.
How to automate builds.
How to create pipelines.
How to deploy containers.
How to provision infrastructure.
All of those things matter.
But very few conversations focus on what happens after deployment.
What happens if a release introduces a bug?
What happens if a database migration fails?
What happens if a configuration change breaks production?
What happens if users start seeing errors five minutes after a successful deployment?
The reality is that deployment is only the beginning of the story.
The real story starts when systems encounter failure.
A Deployment Pipeline Is Not a Reliability Strategy
One lesson that stood out to me is that a successful deployment doesn't automatically mean a successful release.
Code can reach production perfectly and still create problems.
I've seen examples where:
- Deployments completed successfully.
- Infrastructure passed validation.
- Monitoring showed healthy services.
Yet users still experienced issues.
That's because reliability is bigger than deployment.
Reliable systems require:
- Observability
- Monitoring
- Rollback strategies
- Feature flags
- Incident response procedures
- Recovery planning
Without those pieces, a deployment pipeline is simply moving risk faster.
The Question That Changed My Perspective
Whenever I look at an architecture now, I ask a different question.
Not:
"How do we deploy this?"
But:
"What happens at 2 AM if this breaks?"
That single question exposes weaknesses very quickly.
Suddenly you're thinking about:
Can we roll back safely?
Do we know when something fails?
How quickly can we recover?
Will customers notice?
Do we have enough visibility to investigate the issue?
The answers to those questions often matter more than the deployment itself.
Why Observability Matters
One of the most underrated parts of modern engineering is observability.
Many teams invest heavily in deployment automation.
Far fewer invest the same energy into understanding system behavior.
Metrics tell you what happened.
Logs tell you where it happened.
Tracing helps explain why it happened.
Without visibility, troubleshooting becomes guesswork.
And guesswork becomes expensive when production is involved.
The best engineers I've learned from don't just build systems.
They build systems they can understand.
Recovery Is a Feature
As engineers, we often think about features from a user perspective.
New dashboard.
New API.
New functionality.
But some of the most valuable features are invisible.
Rollback mechanisms.
Automated backups.
Disaster recovery plans.
Health checks.
Incident runbooks.
Users rarely see these things.
But they benefit from them every day.
Because when failure occurs, those systems quietly protect the experience.
What I'm Learning as a Young Engineer
Being 17 and learning DevOps has given me an interesting perspective.
The more I learn, the less I believe engineering is about knowing every tool.
Tools change.
Platforms evolve.
Technologies come and go.
The principles remain.
Reliability.
Resilience.
Recovery.
Observability.
Those concepts will still matter long after today's tools are replaced by tomorrow's tools.
And that realization has probably been one of the most valuable lessons in my journey so far.
Closing Thoughts
I'm a 17-year-old DevOps and Cloud Engineer building from Lagos, Nigeria.
I don't have decades of experience.
I don't have stories from hundreds of production incidents.
But every project, every deployment, every architecture diagram, and every lesson learned reinforces the same idea:
Engineering isn't measured by how often things work.
It's measured by how teams respond when things don't.
The engineers I admire most aren't the ones who never encounter failure.
They're the ones who design systems with failure in mind and build the discipline to recover quickly when it arrives.
So while many people focus on shipping faster, I'm learning to focus on something different:
Building systems that remain trustworthy when things go wrong.
Because in the end, the goal isn't simply to deploy.
The goal is to build with enough care, enough foresight, and enough responsibility that when failure eventually appears—as it always does—we're ready for it.
And that's the kind of engineer I'm working to become.
I'm Edwin Jonathan — a 17-year-old self-taught DevOps Engineer building from Lagos, Nigeria. No degree, no shortcuts — just real infrastructure, real pipelines, and real results. Follow the journey: 🔗 GitHub: github.com/EdwinJdevops ✍️ Hashnode: edwinjonathand-devops.hashnode.dev 💼 Open to remote DevOps/Cloud roles globally
