SLAs (Service Level Agreements) are concrete representations of a company's goal to improve the performance and reliability of its services. Defining and maintaining clear objectives benefits everyone involved, from service builders to users. To collect data for SLA definition, one should gather performance metrics from user-facing applications and resources/subcomponents within internal and external applications. Synthetic monitoring and APM (Application Performance Monitoring) provide different perspectives on application performance, helping establish a clear idea of expected performance levels. Analyzing subcomponent metrics is essential for defining internal SLOs, which serve as expectations between teams within the same organization. Customizable dashboards with service-level indicators can help gauge performance and identify potential issues. Implementing SLO-driven alerts and tracking their status in real-time allows businesses to quickly address SLA breaches. With a monitoring platform like Datadog APM, one can investigate issues across various services, determine if problems are transient or require changes, and put the SLA strategy into action by setting up dashboards and alerts that reflect key resources and services.