With the ever-growing adoption of the cloud and hybrid cloud, businesses are struggling to “connect the dots” when it comes to customer experience – regardless of whether the customer is in-house or external. By implementing instrumentation and distributed tracing as discussed throughout this solution, enterprises will be able to leverage their single pane of glass to improve performance at the margins and quickly identify and remediate application issues as they arise.
The Data Pipeline Foundations provide guidance on the fundamental components of a data pipeline such as ingestion and data transformations. For data ingestion, we heavily leaned on the concept of data consolidation to structure our ingestion paths. For transforming your data, be sure to utilize our step-by-step approach to optimize architecting your data for end-user consumption. By following the strategies provided, your organization can create a pipeline to meet your data goals.
For financial services organizations looking to move their applications into AWS, not knowing the true resiliency of those applications, and the infrastructure behind them presents a great risk. Most businesses try to adhere to industry best practices in regards to architecting their AWS environments in a way that is highly available, scalable, and fault-tolerant but there is no avoiding the inevitable failures and disruptions in those environments now and then. With hosting business-critical applications on AWS, businesses need to have a reliable testing strategy framework in place that regularly tests the resiliency of their AWS infrastructure.