Modern applications face unexpected errors due to their complexity, often resulting from microservices, APIs, and third-party integrations. Error analytics helps teams quickly identify roots of issues before they escalate, impacting user experience and revenue. Reports indicate significant costs of downtime, with large enterprises facing losses of approximately $9,000 per minute. Prolonged errors not only incur financial losses but also erode user trust, intensify pressures on support teams, and divert engineering resources away from other development tasks, affecting brand integrity.
"A report from Forbes estimated the cost of unplanned downtime at around $9,000 per minute for large enterprises."
"Repeated or prolonged errors damage user trust, increase pressure on support teams, and slow down development as engineers are pulled away from roadmap work to chase incidents."
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