Key Findings & Highlights:
NelsonHall’s End-to-End Cloud Infrastructure Management Services market analysis provides a view of how vendors are evolving their offerings and capabilities in support of hybrid multi-cloud environments, and future initiatives for the development of these services.
This report is for end-user (buy-side) organizations who are interested in understanding the current and future shape of the market as well as the requirements and experiences of their peers when seeking to buy specific technologies or services.
Cloud infrastructure management services include the following:
• Managing the use, performance, brokerage, and delivery of cloud services (public, private, on-premise, and hybrid), and involves the negotiation of relationships between cloud providers and clients
• The aggregation, integration, monitoring, migration, and ongoing management of the hybrid cloud environment (public, private, legacy on-premise, and hybrid) on behalf of the client through CMP
• Managing the interconnections and interactions among workloads across public and private cloud infrastructure. It provides end-to-end automation and co-ordination of multiple processes, policies and tools across multiple suppliers, to deliver a seamless UX. This includes third-party tools, including cloud-native that enable orchestration within multiple cloud platforms
• Enabling monitoring and observability across entire technology stack and providing a single consistent interface through CMP to all cloud services via an automated self-serve catalog integrated with ITSM, and integrated security and governance between client and cloud providers. Automation used to provision, deploy or start servers; create VMs; acquire and assign storage capacity; manage networking; and gain access to specific cloud services (including cloud-native), containers, APIs, products and applications. This is achieved through the three main attributes of cloud orchestration (service, workload and resource orchestration)
• It also includes DevSecOps, IaC, ML, self-heal, and AI (including AIOps and GenAI) in support of cloud operations.
