Notification and Alerting in MLOps
In the dynamic world of machine learning operations (MLOps), staying informed about critical events and changes is paramount to maintaining efficient and reliable systems. This chapter delves into the crucial aspect of notification and alerting within the MLOps framework, building upon the monitoring concepts discussed in the previous chapter. As ML models become increasingly integral to business operations, the ability to respond promptly to various events throughout the ML lifecycle becomes a key differentiator in operational excellence.
This chapter will guide you through the process of setting up comprehensive notification and alerting systems tailored for MLOps. We’ll explore the available AML lifecycle events and demonstrate how to leverage basic alerting capabilities within individual workspaces. From there, we’ll advance to implementing cross-workspace alerting for enterprise-scale monitoring, followed by advanced notification...
