Abstract
With the promise of low-cost access to flexible and elastic compute resources, enterprises are increasingly migrating their existing workloads to cloud environments. However, the heterogeneity and complexity of legacy IT infrastructure make it challenging to streamline processes of migration at an enterprise scale. In this paper, we present Cloud Migration Orchestrator (CMO), a framework for automation and coordination of large-scale cloud migration based on the IBM Business Process Management (BPM) technology with pre-migration analytics. CMO seamlessly automates complex and error-prone tasks, spanning from on-premise data center analysis, using correlations between occurrences of middleware components, to parallel migration execution by integrating various vendor migration tools. CMO offers self-service capability with a “one-click” migration execution and provides a solution for retaining IP addresses to further minimize workload remediation efforts. We present a taxonomy of network challenges, based on experience with migration of legacy environments and discuss how to automate and optimize network configurations. For each step of the migration process, starting from pre-migration assessment through the post-migration configuration, we discuss lessons learned from real-world deployments and demonstrate how the novel CMO framework reduces human activities through automation. Finally, we discuss efficiency of migration capabilities, including a fourfold process improvement (with respect to traditional approaches) using automation and orchestration.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.