Operate

Observability helps you focus on meaningful data and understand your workload's interactions and output. By concentrating on essential insights and removing unnecessary data, you maintain a straightforward approach to understanding workload performance. It is essential not only to collect data but also to interpret it correctly. Define clear baselines, set appropriate alert thresholds, and actively monitor for any deviations. A shift in a key metric, especially when correlated with other data, can pinpoint specific problem areas.

Agreeing on the metrics which are key to identifying service health help to verify adherence to service level agreements which have been agreed upon by the business, third parties or customers.

Following the identification of service degradation, quickly identifying the root cause and best method of remediation will be critical. Different user personas and application sets will likely have different priorities that must be dealt with based on their impact on the business.

To identify trends that can be used to improve service delivery and maintain a consistent user experience, establish an agreed cadence for reviewing data that identifies how your AWS EUC services are performing over time.

While AWS EUC-focused logs can expose issues specific to these services, access to data from other contingent services (like networking, authentication, storage, or backend services) provides a broader view of the cause and effect of cross-service outages.