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As organizations scale, their DevOps demands evolve from
simple automation to complex infrastructure management, orchestration,
and resilience engineering. Mastering infrastructure as code (IaC) and
orchestration is a must for senior-level DevOps professionals. This chapter
focuses on hard-level interview questions related to tools like Terraform,
Kubernetes, Helm, AWS CloudFormation, and advanced
orchestration patterns that are critical in building robust, fault-tolerant
systems.
🧱 1. What is
Infrastructure as Code (IaC), and how does Terraform differ from
CloudFormation?
Interview Question: Explain the concept of IaC.
Compare Terraform and AWS CloudFormation.
Answer:
IaC allows you to provision and manage infrastructure using machine-readable
definition files. It helps automate cloud provisioning and ensures consistent
environments across development, testing, and production.
Feature |
Terraform |
AWS CloudFormation |
Language |
HCL (HashiCorp
Configuration Language) |
JSON or YAML |
Cloud Support |
Multi-cloud
(AWS, Azure, GCP) |
AWS only |
Modularity |
High (modules and
reusability) |
Moderate (nested
stacks) |
State Management |
Uses .tfstate
file |
Managed
internally by AWS |
Ecosystem |
Open source, large
community |
Tightly integrated
with AWS services |
⚙️ 2. What is the difference
between declarative and imperative infrastructure configuration?
Interview Question: Explain declarative vs
imperative approaches in infrastructure.
Approach |
Description |
Example Tool |
Declarative |
Describes the desired
end state. System figures out how to reach it. |
Terraform, Kubernetes |
Imperative |
Specifies
exact steps to reach the desired configuration. |
Ansible, Bash
scripts |
Declarative methods are preferred in modern DevOps for
scalability, idempotence, and clearer version control.
☸️ 3. What are the core
components of Kubernetes architecture?
Interview Question: Describe the key components of
Kubernetes.
Component |
Role |
Pod |
Basic deployable unit
(one or more containers) |
Node |
A worker
machine (virtual or physical) running containerized apps |
Cluster |
Group of nodes managed
by Kubernetes |
Kubelet |
Agent running
on each node that ensures containers run as expected |
API Server |
Entry point to the
cluster for REST operations |
Scheduler |
Assigns pods
to available nodes |
Controller Manager |
Maintains desired
state (e.g., replication) |
etcd |
Consistent
and highly available key-value store |
🚢 4. How do you handle
secrets in Kubernetes securely?
Interview Question: How do you store and manage
secrets in Kubernetes?
Answer:
Kubernetes provides a Secret object to store sensitive data like passwords,
tokens, and keys. However, base64-encoded secrets are not encrypted by default.
For better security:
🔁 5. What is a Helm chart
and how do you use it for deployment?
Interview Question: Explain Helm and how it
simplifies Kubernetes deployments.
Answer:
Helm is a package manager for Kubernetes. A Helm chart is a collection of YAML
templates that define a Kubernetes resource set. It allows developers to deploy
apps with a single command using version-controlled and parameterized
configurations.
Helm Directory Structure:
markdown
mychart/
Chart.yaml
values.yaml
templates/
deployment.yaml
service.yaml
Helm Benefits:
🌐 6. How do you ensure
high availability (HA) in a Kubernetes cluster?
Interview Question: What steps do you take to
design an HA Kubernetes cluster?
Answer:
To ensure high availability in Kubernetes:
🧪 7. How do you test and
validate Terraform configurations?
Interview Question: What are best practices for
testing Terraform code?
Answer:
To test Terraform code effectively:
🔄 8. How do you manage
Kubernetes deployment rollbacks and updates?
Interview Question: Explain your approach to
handling rollbacks in Kubernetes.
Answer:
Kubernetes uses the Deployment controller to manage rolling updates and
rollback. You can use:
🧰 9. What is the role of
state management in Terraform?
Interview Question: Why is Terraform state
important and how do you manage it?
Answer:
Terraform uses a state file (terraform.tfstate) to keep track of the
infrastructure's current condition. Managing state is critical for planning
changes and avoiding drift.
State Management Best Practices:
🔐 10. What is a service
mesh and how does it relate to Kubernetes?
Interview Question: What is a service mesh and
where does Istio fit in?
Answer:
A service mesh is a dedicated infrastructure layer for managing
service-to-service communication in microservices architecture. It handles
traffic management, observability, retries, and security without modifying
application code.
Popular service meshes:
Istio runs as a sidecar proxy (Envoy) and provides:
📊 Summary Table: Tools in
Infrastructure & Orchestration
Tool/Concept |
Category |
Usage |
Terraform |
IaC |
Multi-cloud
provisioning |
CloudFormation |
IaC (AWS) |
AWS
infrastructure automation |
Kubernetes |
Container
Orchestration |
Container management
and scaling |
Helm |
K8s Package
Management |
Simplifies
multi-resource deployments |
Vault |
Secrets Management |
Secure dynamic secrets
and policy-based access |
Istio |
Service Mesh |
Secure and
manage microservice traffic |
etcd |
Key-Value Store |
Cluster state
management in Kubernetes |
Answer:
DevOps is a cultural and technical movement that integrates software
development (Dev) and IT operations (Ops) to improve collaboration, automation,
and continuous delivery of software. It’s important because it accelerates
development cycles, improves deployment frequency, ensures reliability, and
enhances product quality by promoting automation, monitoring, and shared
responsibility.
Answer:
In 2025, recruiters expect proficiency in tools like:
Answer:
DevOps interviews cover:
Answer:
CI/CD stands for Continuous Integration and Continuous Delivery/Deployment. CI
involves automatically integrating and testing code changes frequently, while
CD ensures those changes can be released to production seamlessly and reliably.
You can describe your pipeline stages (build, test, deploy), mention tools
(e.g., Jenkins, GitHub Actions), and explain benefits like faster releases and
fewer bugs.
Answer:
Yes, a basic to intermediate level of coding/scripting is often required.
Common languages include:
·
Bash or Shell scripting for
automation
· Python for tooling or data processing
·
Groovy/YAML/JSON for writing Jenkins
pipelines or IaC configs
While you don’t need to be a full-stack developer, understanding code is
crucial to integrating and debugging systems.
Answer:
While both aim to improve software delivery and reliability:
Answer:
·
Practice real-life challenges, like setting up a
pipeline or debugging a failed deployment.
·
Use STAR format (Situation, Task, Action,
Result) to describe experiences.
·
Highlight how you used tools, collaborated
across teams, and solved problems under pressure.
Focus on outcomes and metrics (e.g., reduced downtime by 40%).
Answer:
Top DevOps certifications include:
Answer:
Yes, if you:
Answer:
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