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AcademySoftware EngineeringDevOps — Development and Operations Integration

Intermediate5 min read

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

Q1

What is the difference between DevOps and CI/CD?

Q2

What is "Infrastructure as Code" and what problem does it solve?

Q3

How would you implement blue/green deployment to reduce release risk?

Q4

What monitoring would you set up for a newly deployed service and what would trigger an alert?

Q5

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

An engineering analytics team was spending 4 hours per release on manual staging environment setup and deployment. After implementing Terraform for infrastructure provisioning and Docker Compose for service configuration, the environment setup became a single command taking 8 minutes. Paired with a GitHub Actions CD pipeline, the end-to-end deployment from code merge to live staging dropped from 4 hours to 22 minutes. The team started deploying 3× per week instead of once every 3 weeks.
Topics covered
DevOpsCI/CDDockerKubernetesinfrastructure as codeTerraformmonitoring

Related interview guides

Devops EngineerSoftware EngineerEmbedded Software Engineer

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