Testing configuration changes in context to prevent production failures
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20), 2020•usenix.org
Large-scale cloud services deploy hundreds of configuration changes to production systems
daily. At such velocity, configuration changes have inevitably become prevalent causes of
production failures. Existing misconfiguration detection and configuration validation
techniques only check configuration values. These techniques cannot detect common types
of failure-inducing configuration changes, such as those that cause code to fail or those that
violate hidden constraints.
daily. At such velocity, configuration changes have inevitably become prevalent causes of
production failures. Existing misconfiguration detection and configuration validation
techniques only check configuration values. These techniques cannot detect common types
of failure-inducing configuration changes, such as those that cause code to fail or those that
violate hidden constraints.
Abstract
Large-scale cloud services deploy hundreds of configuration changes to production systems daily. At such velocity, configuration changes have inevitably become prevalent causes of production failures. Existing misconfiguration detection and configuration validation techniques only check configuration values. These techniques cannot detect common types of failure-inducing configuration changes, such as those that cause code to fail or those that violate hidden constraints.
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