City Furniture and their transition to the clouds for their x86 Servers
A Florida based retailer on a mission to change the way people live with beautiful home furnishings at incredible value. Their roots date back to the 1970s when they opened as Waterbed City, and over the years evolved into a leading furniture and home accents destination. Style and value are at the core of everything, and with nearly 20 showrooms across the state and an expansive e-commercial suite, they are constantly evolving to bring customers the very best.
City Furniture business model for technology included outsourcing x86 and networking technologies to IBM Cloud to support their company’s non-digital IT environment. The client did not have available resources to support this endeavor and went to IBM for this type of solution. As time went on, City Furniture had numerous issues with availability as well as timely updates and was dissatisfied as IBM did not meet management or performance expectations for the environments networking and VMware components.
Once CloudHesive was engaged by City Furniture, we started with assessing the client’s current environment and recommending migrating VMware onto IBM Cloud to AWS and redesign networking components. Once the migration was completed, CloudHesive assumed CloudHesive Managed Services for the new AWS environment
Migration Readiness Assessment (MRA) program was used to assess environment’s Direct Connect, replace existent IBM networking, CloudEndure used for migration of VMWARE on IBM Cloud to AWS. CloudHesive implemented tools including AWS CloudWatch, Sumo Logic and Datadog to manage their environment.
Third Party applications used
Sumo Logic / Trend Micro / Datadata
Among other achievements, lower cost, more agile and better visibility, and observability
The customer’s X86 journey was architected and deployed by CloudHesive with emphasis placed on the adherence of customer standards. This required working with the customer to establish a baseline understanding, baseline standard and baseline operational processes ahead of the implementation and transition to support.