VMware workloads to AWS: Optimize, migrate and modernize
Optimization, migration, and modernization of VMware workloads to AWS.
Based on strategy and results, IBM clients’ transformation journeys are unique. Businesses must ensure that its infrastructure supports strategic goals like cost optimization, performance improvement, and cloud adoption as technology and business needs change.
After Broadcom acquired VMware, VMware clients confront transformational decisions in a shifting marketplace. IBM Consulting understands. IBM Consulting can assist VMware clients succeed through a variety of hybrid cloud transformation pathways using its expertise. These include on-premises modernization, cloud modernization, containerization with cloud-native technologies, or a mix.
VMware Modernization Assessment is a Rapid Strategy and Assessment that explores VMware’s future paths to achieve business success and manage risk.
IBM Cloud For VMWare Regulated Workloads
IBM will discuss how IBM Consulting can help organizations who prefer AWS-based cloud-native solutions using AWS’s modern tools and cloud services in this blog.
AWS offers VMware a complete platform with cloud services, global infrastructure, and strong security. This method avoids hardware dependence, scalability issues, and high operational costs of on-premises infrastructure. Organizations can use AWS’s scalability, pay-as-you-go pricing, and wide range of services to construct VMware workloads to AWS.
Clients considering data centre (DC) exits want to cut costs and simplify operations while improving security, compliance, and innovation.
Data centre consolidation can be accelerated by moving from VMware to the cloud or hybrid. IBM Consulting provides data centre migration (DC exit), a comprehensive solution to help organizations efficiently and strategically migrate from their data centre infrastructure to their cloud of choice, including AWS. IBM’s generative AI and IBM–AWS collaborative investments enable scaled migration.
AWS Cloud migration scenarios
To build new capabilities, boost operational efficiency, and implement cloud-native architecture on AWS Cloud, enterprises can explore numerous scenarios to relocate and modernize VMware workloads to AWs:
Clients can move VMware VMs to AWS instances first. This requires rehosting apps on Amazon Elastic Compute Cloud (Amazon EC2) instances and maybe reconfiguring them for the cloud. After migration, organisations can modernise their applications to use AWS native services like Amazon RDS for database management, AWS Lambda for serverless computing, and Amazon S3 for scalable storage.
IBM’s container-first approach provides an end-to-end stack of solutions and services to satisfy modern organisations’ complex needs. From cloud infrastructure and AI to cybersecurity and data management, it covers it all. This product centres on ROSA and OpenShift Virtualization. These technologies demonstrate IBM’s commitment to flexible, scalable, and integrated business innovation and efficiency.
ROSA, EKS, and Amazon ECS on AWS Fargate may containerize workloads across the AWS Cloud to reduce vendor lock-in. Businesses can execute and manage containerized and virtual machine (VM) workloads on a single platform using Red Hat OpenShift virtualization.
Software as a service (SaaS): VMware applications can be migrated to AWS. The flexible, cost-effective, and efficient way to deliver software applications is SaaS.
Offered managed services: IBM is an AWS-certified MSP that can migrate VMware workloads to AWS managed services. AWS managed services automate and simplify cloud management. IBM services help organizations adapt and operate in the AWS Cloud with best practices, security, and compliance. Managed services let companies focus on their core business while IBM manages cloud infrastructure.
IBM Migration Factory speeds cloud migration
IBM understands AWS technologies from years of collaboration and expertise, enabling enterprise integration and optimisation. IBM provides a tailored strategy to meet clients’ needs.
AWS Migration Factory, based on IBM Garage Methodology, is a unique app modernization engagement approach from IBM Consulting. This squad-based, workstream-centric strategy uses gen AI and automation to scale rapid transformation.
The structured and efficient AWS Migration Factory framework migrates huge VMware workloads to AWS. Organizations may reduce risks, costs, and time for cloud migration by using automated technologies, best practices, and a phased strategy. The manufacturing speeds client engagements with cooperative incentive programmes.
IBM thoroughly evaluates the client’s VMware setup before migrating. This includes workload dependencies, performance metrics, and migration needs. Based on the assessment, a complete migration strategy should include timetables, resource allocation, and risk mitigation. The IBM Consulting Cloud Accelerator, IBM Consulting Delivery Curator, IBM Consulting developer experience platform, and IBM Consulting AIOps solutions help plan, design, and execute end-to-end migration and modernization journeys.
These assets are supported by IBM Delivery Central. Digitising and improving delivery procedures and providing real-time oversight, this end-to-end delivery execution platform transforms delivery. Powered by generative AI, these assets and assistants serve key personas’ consumption modes.
Other AWS tools and services for VMware workload migration include AWS Migration Hub. It accelerates and automates application migration to AWS, offering visibility, tracking, and coordination, incorporating AWS Application Migration Services.
IBM’s Generative-AI migration tools
IBM used Amazon Bedrock to create migration tools and assets. Using Amazon Bedrock and generative AI, this unique approach migrates applications and workloads to the cloud.
Service-based AI-powered discovery: Extracts crucial data from client data repositories to speed up application discovery.
Artificial intelligence-powered migration aid: Transforms natural language questions into SQL queries to retrieve application and server migration status from a centralised data lake (Delivery Curator) during migration.
Generative AI design assistant: Uses models like llama2 on Delivery Curator’s centralised data store and the design assistant to speed up design.
IBM helped a worldwide manufacturer move VMware workloads to AWS
Moving to AWS may save costs, scale, and innovate for companies. IBM assisted a worldwide consumer products manufacturer in migrating 400 applications to AWS in two years as part of its product strategy shift. To increase agility, scalability, and security, the customer moved to AWS.
The customer also needed to train personnel on new data handling techniques and the architectural transition. To achieve these goals, the customer moved their technology from on-premises to AWS, which improved business performance by 50% and saved up to 50% utilising Amazon RDS.
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