Gap Analysis

Before formulating your Cloud migration strategy:

Review the current accounts, special requirements, key issues and challenges of the current IT systems.
Identify new possible requirements for future service evolution.
Define the key cloud adoption objectives as required.

To get a complete analysis, refer to the following Cloud Maturity Assessment Model:

Key gap analysis tasks include:

Infrastructure analysis

Infrastructure resources and configurations, including servers, storage types, basic configurations, resource quantities and usages, lifecycle configurations, virtualization technologies, containerization, and application distribution.
Special requirements for performance, security, or operating system or hardware dependencies.
Key challenges, such as low availability and complicated maintenance.

Technical platform analysis

Basic platform details, such as the amount, scale, and usage of middleware, database, data warehouse, big data, and development and test platforms.
Special requirements and key challenges. For example, middleware and big data are developed based on open source software, which often has weak performance, poor stability, or no DR capabilities for critical services.

Major application analysis

Key applications need to be identified and analyzed to classify key requirements for the implementation. This includes systems such as channel systems, service systems, mission-critical systems, and data related systems. Channel systems require flexible performance scaling and fast iteration. Service systems need to be reliable and can expand on demand. Mission-critical and data related systems require high reliability, stability, and concurrency.

Design for X (DFX) capability analysis

Review the challenges related to DR, security, performance, and O&M.

Evolution of innovation

New technologies such as AI, blockchain, and fast iteration based on containers, microservices, and cloud-native can leverage the public cloud for rapid reconstruction.

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