"In modern, distributed systems, that work is harder than ever. Services depend on other services, deployments happen constantly, and small failures ripple into larger ones. While teams scramble to piece things together, customers are already feeling the impact, and the business is losing money by the minute. For years, the industry used $5,600 per minute as the average cost of an outage as was suggested by Gartner in 2014."
"However, more recent data suggests these costs are rising steadily with enterprise downtime now averaging as much as $14,056 per minute, with large organizations seeing losses up to $23,750 per minute. These numbers add up fast. An eight-hour global outage could cost a company millions in revenue alone, even before you factor in productivity losses, angry users, or brand damage. We all remember the CrowdStrike fiasco. The good news? With the right observability practices and tools, teams can shift from chasing symptoms to tracing solutions."
Modern distributed systems increase the difficulty of diagnosing errors because services depend on other services, deployments are continuous, and small failures cascade into larger outages. Outages impose steep costs—historical estimates of $5,600 per minute have risen, with enterprise downtime averaging $14,056 per minute and large organizations facing up to $23,750 per minute. An eight-hour global outage can cause millions in lost revenue plus productivity, user attrition, and brand damage. Structured error analysis combined with observability practices and tools like New Relic reduces MTTR, helps teams move from chasing symptoms to tracing root causes, and protects users and business continuity.
Read at New Relic
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