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DevOps — Development and Operations Integration
DevOps is a culture, philosophy, and set of practices that unifies software development (Dev) and IT operations (Ops) teams to shorten the development lifecycle and deliver high-quality software continuously. It combines CI/CD automation, infrastructure as code, monitoring, and collaborative culture to break down the traditional wall between development and operations.
Why companies use it
- ·Reduces the deployment frequency from monthly/quarterly to daily/hourly, enabling faster feature delivery
- ·Shared responsibility for production reliability drives engineers to write more robust, observable code
- ·Infrastructure as Code (IaC) with tools like Terraform and Ansible makes environments reproducible and auditable
- ·In industrial contexts, DevOps practices are increasingly applied to firmware and embedded software delivery pipelines
What hiring managers look for
- ·DevOps is now the expected default in cloud and SaaS engineering organisations — candidates without it are behind the curve
- ·Container knowledge (Docker, Kubernetes) is increasingly required even for engineers who are not dedicated DevOps engineers
- ·Understanding monitoring and observability (Prometheus, Grafana, ELK) shows that a candidate thinks about production, not just development
- ·Security in DevOps (DevSecOps) — integrating security scanning in the pipeline — is a growing requirement
Typical interview questions
What is the difference between DevOps and CI/CD?
What is "Infrastructure as Code" and what problem does it solve?
How would you implement blue/green deployment to reduce release risk?
What monitoring would you set up for a newly deployed service and what would trigger an alert?
Describe the DevOps practices in your current or most recent team. What worked well and what would you improve?
Common mistakes
- ·Treating DevOps as a team name or a tool set rather than a culture and a way of working
- ·Implementing CI/CD without also implementing proper monitoring — deploying fast without knowing when things break is dangerous
- ·Using containers (Docker) without understanding how they behave in production under resource constraints
- ·Not applying DevOps practices to infrastructure — manually configured servers are as fragile as code without version control
- ·Separating security from the DevOps pipeline until the end of the project — shift-left security must be integrated from the start
Real engineering example
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