Vertical Relevance's ART provides a RAG generative AI conversational chatbot that allows teams to self-discover standards and guidelines and have their architectures and migration plans evaluated in an engaging manner at their own pace and at any time. This extensible platform can be expanded and focused on any information store, integrated with your own authentication mechanisms and RBAC authorization controls. When teams have completed their preparations, they can submit to the ARB for review. This significantly reduces the time and cost involved in developing your architecture and migration approaches for migration to AWS.
If you're looking to modernize your applications, containers are a powerful tool that you can't afford to ignore. Containers are portable, lightweight, and allow for easy deployment, scaling, and management of applications. They also provide more robust operability and engineering agility. However, as you adopt containerized architectures, you may face challenges in managing the numerous unique services that come with them. That's where container orchestration comes in. In this solution, we explain how specific tools work together to provide a streamlined and efficient way to manage containers at scale, enabling organizations to improve their engineering agility and operational efficiency.
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.