What is the primary purpose of Observability in Cloud Native systems?

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Multiple Choice

What is the primary purpose of Observability in Cloud Native systems?

Explanation:
Observability is about understanding how a system behaves in production by collecting and analyzing telemetry data—logs, metrics, and traces—from across services. The main goal is to measure the system’s state from its outputs so you can detect, diagnose, and fix issues, and also optimize performance and reliability. In cloud-native setups with many microservices, you can’t rely on a single component to reveal the whole picture; observability ties together signals from across the stack to show how requests flow, where delays occur, and what errors emerge. For example, when latency spikes, metrics show the slowdown, traces point to the specific downstream service causing the bottleneck, and logs provide the exact error details needed to resolve it. The other options describe storing configuration, speeding up deployments, or keeping time in sync, which are not the aim of observability.

Observability is about understanding how a system behaves in production by collecting and analyzing telemetry data—logs, metrics, and traces—from across services. The main goal is to measure the system’s state from its outputs so you can detect, diagnose, and fix issues, and also optimize performance and reliability. In cloud-native setups with many microservices, you can’t rely on a single component to reveal the whole picture; observability ties together signals from across the stack to show how requests flow, where delays occur, and what errors emerge. For example, when latency spikes, metrics show the slowdown, traces point to the specific downstream service causing the bottleneck, and logs provide the exact error details needed to resolve it. The other options describe storing configuration, speeding up deployments, or keeping time in sync, which are not the aim of observability.

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