Observability in financial services

Observability is a key design principle for cloud-native applications in a hybrid cloud environment. The practices and approaches that worked well in an isolated, on-premise environment are not sufficient in the hybrid cloud. New practices, tooling, and techniques allow companies to reduce mean time to repair (MTTR), improve service levels, and improve customer satisfaction for modern, web-scale applications. As enterprises increasingly take advantage of hybrid cloud solutions, observability needs to become a first class citizen in the design of other types of workloads, such as risk calculation, artificial intelligence and machine learning (AI/ML)-model training and inference, and fraud monitoring. Join this session, as we will discuss best practices and recommendations to help financial institutions manage the observance of their hybrid cloud applications. In this webinar, we’ll discuss: How to improve failure prediction and analysis. Enhance service level agreement (SLA) compliance and mitigating SLA breaches. Performing root cause analysis in complex computation scenarios that consist of many tasks, running across multiple environments, and integrating multiple external systems. When to address new regulatory requirements for compliance, auditability, and reliability. Extending the concept of system health to functional aspects such as ML model drift monitoring.