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Measuring a website's availability and reliability under various amounts of traffic is often referred to as load testing. Website monitoring also helps benchmark the website against the performance of a competitor to help determine how well a site is performing. Website speed is also used as a metric for search engine rankings. [2]
Active monitoring, on the other hand, consists of synthetic probes and web robots predefined to report system availability and business transactions. Active monitoring is a good complement to passive monitoring; together, these two components help provide visibility into application health during off-peak hours when transaction volume is low.
Test data management to ensure that test data is available to testers when needed via a TDM tool or test data refresh from other environments; Status Accounting to report on service, usage, and availability metrics to provide full transparency into test environment management activities
Solution templates are for rapidly deploying specific monitoring based on best practice methodologies. [11] Solution templates deploy a combination of standard SiteScope monitor types and solution-specific monitors with settings that are optimized for monitoring the availability, performance, and health of the target application or system.
Ensure that the test environment is instrumented for resource monitoring as necessary. Implement the Test Design. Develop the performance tests in accordance with the test design. Execute the Test. Run and monitor your tests. Validate the tests, test data, and results collection. Execute validated tests for analysis while monitoring the test ...
Metrics, logs and traces are most commonly listed as the pillars of observability. [13] Majors et al. suggest that the pillars of observability are high cardinality, high-dimensionality, and explorability, arguing that runbooks and dashboards have little value because "modern systems rarely fail in precisely the same way twice."
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This is more suited for passive monitoring. Synthetic testing is useful for measuring uptime, availability, and response time of critical pages and transactions (how a site performs from all geographies) but doesn't monitor or capture actual end user interactions, see Website monitoring. [3]