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How would you monitor a data pipeline in AWS to ensure SLA compliance?

Cloud/Toolshard0.7 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Capco
Expert AnswerPremium
149 wordsInterview-ready
**Why SLA monitoring**: SLAs are contractual; breaches trigger credits and erode trust. Define SLOs first (e.g., 99.5% success rate, data latency < 30 min). **Architecture**: CloudWatch for metrics—track Lambda/Glue duration, error rates, data freshness (custom metric: last_successful_run_timestamp). CloudWatch Alarms on threshold breaches (e.g., job duration > 2× baseline, failure count > 0). EventBridge triggers runbooks, PagerDuty, or Step Functions for auto-remediation....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Capco. The answer also includes follow-up discussion points that interviewers commonly explore.

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