Your team is adopting Site Reliability Engineering (SRE) practices for a customer-facing API running on Google Cloud. Why is it important to define a service level objective (SLO) for this service before you configure monitoring alerts and on-call rotations?
It defines a user-focused reliability target that guides monitoring thresholds and engineering trade-offs.
It provides the data needed to calculate carbon emission reductions achieved by autoscaling.
It specifies which IAM roles developers should receive for managing the service.
It determines which network egress and storage pricing tiers the service must use.
An SLO expresses the expected reliability or performance level that the service must meet from the user's perspective (for example, 99.9 % availability). By establishing that target first, the team can map monitoring metrics to the SLO, create meaningful alerts when the objective is at risk, and make informed trade-offs between releasing new features and preserving reliability. The other options describe activities-like selecting pricing tiers, estimating sustainability metrics, or assigning IAM roles-that are unrelated to the core purpose of an SLO.
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What is a Service Level Objective (SLO)?
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Why are SLOs crucial before setting up monitoring alerts?
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How do SLOs guide engineering trade-offs?
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What is the role of an SLO in Site Reliability Engineering (SRE)?
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How does monitoring align with an SLO in Google Cloud services?
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Why does defining an SLO take precedence over on-call rotations or other processes?
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