☁️ 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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