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☁️ DevOps Interview Series | Cloud & Monitoring

Final round — cloud infra and observability 👇

Q1. What is the difference between horizontal and vertical scaling?
Answer: Vertical scaling means adding more resources (CPU/RAM) to an existing server. Horizontal scaling means adding more servers/instances to distribute load. Cloud-native systems generally prefer horizontal scaling for better fault tolerance.

Q2. What is the difference between monitoring and observability?
Answer: Monitoring tells you that something is wrong (via predefined metrics/alerts, like CPU usage). Observability lets you understand why it's wrong by exploring logs, metrics, and traces together — especially useful for unknown or unexpected failure patterns.

Q3. What are the three pillars of observability?
Answer: Logs (event records), Metrics (numeric measurements over time), and Traces (the path a request takes across distributed services).

Q4. What is auto-scaling, and what triggers it in the cloud?
Answer: Auto-scaling automatically adds or removes compute instances based on demand. It's typically triggered by metrics like CPU utilization, memory usage, or custom application metrics crossing a defined threshold.

Q5. What is the purpose of a Load Balancer in a cloud architecture?
Answer: It distributes incoming traffic across multiple servers/instances to prevent any single server from being overwhelmed, improves fault tolerance, and enables zero-downtime deployments.

💬 Which cloud platform are you learning — AWS, Azure, or GCP? Comment below!

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☁️ CLOUD COMPUTING — INTERVIEW PREP ☁️

Whether you're prepping for your next tech interview or just brushing up on the fundamentals, cloud computing questions almost always come up. Here are 3 that every recruiter loves to ask 👇

Q1. What is the difference between IaaS, PaaS, and SaaS? 💡 Think in layers — what does the provider manage, and what do you manage?

A1: IaaS (Infrastructure as a Service) — you get raw servers, storage, and networking; you manage the OS, apps, and everything above it. (e.g., AWS EC2, Azure VMs)
PaaS (Platform as a Service) — the provider also manages the OS and runtime; you just focus on your code. (e.g., Google App Engine, Heroku)
SaaS (Software as a Service) — everything is managed for you; you just use the app. (e.g., Gmail, Dropbox)

Q2. What is auto-scaling, and why does it matter? 💡 Think about what happens when traffic suddenly spikes — like during a flash sale.

A2: Auto-scaling automatically adds or removes computing resources (servers) based on real-time demand. It matters because it keeps applications fast during traffic spikes and saves money during low-traffic periods, without needing a human to manually adjust anything.

Q3. What's the difference between horizontal and vertical scaling? 💡 One adds more machines, the other makes one machine stronger — which is which?

A3:Vertical scaling = adding more power (CPU/RAM) to an existing machine. Simple, but has a hardware limit.
Horizontal scaling = adding more machines to share the load. More complex to manage, but scales almost limitlessly — this is how most modern cloud apps grow.

💬 Which question would you have struggled with? Let us know in the comments!

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