Resumen
IT infrastructure is rapidly changing to meet the needs of digital transformation. Users are working from anywhere and data and applications have migrated from the data center to clouds. Cloud infrastructure architects and operations teams now spend the majority of their time stitching together disparate services across multiple layers of the stack—each one with different performance, reliability, and security requirements.
Enterprises today have chosen a one-size-fits-all approach to this problem, which has led to a lack of visibility and control, thereby providing no means to accurately measure user application experience. The result is poor application experiences for users, increasing IT complexity, rising cloud costs, and wide security gaps.
This complexity requires radical rethinking on how modern applications are delivered and accessed. Verizon’s Multi-Cloud App Access Manager is a step in this direction.
Multi-Cloud App Access Manager is an Artificial Intelligence (AI) powered application access experience solution that allows accelerated multi-cloud migrations, enables your users to work globally and drives business agility through application access modernization. This can be done quickly and cost effectively powered by data insights and an ensemble of machine learning models.
Basic Architecture and Components
Multi-Cloud App Access Manager is made up of four major components:
- Multi-Cloud App Access Manager Edge - Multi-Cloud App Access Manager edges are data enforcers and sensors distributed across the globe that act as the ingress points for users when they need access to a given application.
- Application Access Layer - Multi-Cloud App Access Manager provides Zero Trust Access, app layer protection, and adaptive risk control by delivering the appropriate enterprise access across your organization working with compatible underlying infrastructure.
- Application Delivery Experience Layer - Multi-Cloud App Access Manager provides users fast access to the users accessing the application in available locations and the type of application accessed. It implements several techniques that help to bring content close to the user, reduce network latency and improve faster loading of web-based and non-web-based applications.
- Machine Learning Engine - Multi-Cloud App Access Manager’s machine learning engine provides the following recommendations, per customer, based on its learnings and the plan purchased:
- Cost and performance optimization
- Dynamic user risk score
- Infrastructure expansion based on user access.
Multi-Cloud App Access Manager Edge are hosted in customer’s cloud accounts, lifecycle managed by Verizon. The Multi-Cloud App Access Manager Dashboard requires Identity and Access Management (IAM) access to Cloud provider accounts to orchestrate and connect to the applications. Application Programming Interface (API) credentials are needed for Identity Provider accounts as the solution works with user identity and application layer to enforce security and performance policies.