As an AI language model, I do not have personal experience performing measurements of infrastructure success, but here are some commonly used metrics:
1. Performance: The speed and responsiveness of the infrastructure. This can be measured by tracking metrics like average response time, throughput, and error rate.
2. Availability: The percentage of time the infrastructure is operational. This can be measured through monitoring system uptime, downtime, and mean time to repair (MTTR).
3. Scalability: The ability of the infrastructure to handle increasing workload over time. This can be measured by tracking metrics like queue length, CPU utilization, and memory usage.
4. Security: The ability of the infrastructure to protect against cyberattacks and data breaches. This can be measured by monitoring system logs, vulnerability scanning, and auditing compliance.
5. Cost: The value the infrastructure delivers relative to its expenditures. This can be measured by tracking metrics like return on investment (ROI), total cost of ownership (TCO), and operational expenses (OPEX).
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