{"id":11591,"date":"2020-10-06T08:02:09","date_gmt":"2020-10-06T15:02:09","guid":{"rendered":"http:\/\/www.unifycloud.com\/?p=11591"},"modified":"2021-12-16T05:01:42","modified_gmt":"2021-12-16T05:01:42","slug":"moving-mission-critical-applications-to-the-cloud-more-important-than-ever","status":"publish","type":"post","link":"https:\/\/www.unifycloud.com\/moving-mission-critical-applications-to-the-cloud-more-important-than-ever\/","title":{"rendered":"Moving Mission-Critical Applications to the Cloud-More Important Than Ever"},"content":{"rendered":"\n

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As we proceed into the second decade of the cloud era, the question businesses increasingly face is not whether<\/em> to move key workloads to the cloud; but which<\/em> key workloads to move to the cloud and how<\/em> to do that without risk. Many organizations have previously taken the easier route by leaving mission-critical workloads untouched due to concerns over downtime, risk, and reliability. The time has come where addressing these mission-critical workloads is now a step that many must take to move enterprise IT forward.\n<\/p>\n

\nLet\u00e2\u20ac\u2122s look at an example of a successful cloud migration project that safely and effectively transitioned mission-critical workloads to Microsoft Azure. \n<\/p>\n

A global insurance company realizes 69% cost savings by moving to Azure\n<\/h2>\n

A Fortune 500 global insurance company was looking to move mission-critical workloads to the cloud. The company operated a major datacenter that supports all their operations across an entire continent, and wanted to understand their options, the level of effort, and the potential cost savings of moving the datacenter, applications, and databases to Azure. To do this, the company initiated an engagement to assess their infrastructure for modernization.\n<\/p>\n

The project commenced in early January, beginning with three weeks of data collection \u00e2\u20ac\u201c a critical step that gathers vital information about infrastructure and workload configuration and utilization. The heavy lifting began in early February with an analysis of the discovery data and an assessment of the datacenter infrastructure. Time was then spent conferring with project team members on the analysis, data sources, and assumptions, and making adjustments to provide the most accurate estimates and recommendations. Results were presented to company leadership at the end of February.\n<\/p>\n