Simplifying API Operations with AI and ML
APIs expose business-critical applications to developers inside and outside of organizations, and it’s important for operations teams to ensure that APIs are always available, secure and performing as expected to avoid any impact on revenue, customer experience, or brand value. However, as you scale your API programs, traditional approaches to API operations do not work. Experiences show that manually setting thresholds on operational metrics based on seasonal variations becomes extremely cumbersome, and with static thresholds you often end up receiving too many false alerts.
In this session, you will learn how Google Cloud’s Apigee API management platform applies industry-leading AI and ML technologies to simplify API operations as you scale.
In this webcast, we will cover:
- How to detect anomalies proactively and reduce downtimes and performance degradations of your APIs
- How to reduce noise from false alerts by dynamically setting thresholds using AI and ML models on your historical API data
- How to gain visibility into the security health of API programs and ensure they adhere to compliance requirements