How to check all the right boxes for your cloud migration before you get started
Cloud Migration Team, Google Cloud
Cloud adoption and migrations have continued to accelerate over the years. According to Flexera’s 2021 State of the Cloud report, 31% of respondents spend at least $12,000,000 per year on public cloud, which is up from 16% in the same survey in 2020. Additionally, enterprises already run about 47% of their workloads and store 44% of their data in the public cloud.
Organizations have come a long way, but many still have at least half way to go to full migration to the public cloud. As the public cloud becomes a multi-billion dollar business and the IaaS market share of computing continues to grow, enterprises leverage the public cloud more and more each year. But even though self-provisioning of new workloads in public clouds is simple, migrating existing services to the cloud requires more preparation.
A common misperception is that migrating existing workloads to the public cloud, especially those with a lot of data, is complex, time consuming and risky. With the right planning, however, enterprise IT organizations can rapidly establish good migration practices to accelerate migrations and lower risk.To help you through all of this, we’ve put together a guide and checklist of essential tips for the four key parts of the migration process: Assess, Plan, Migrate, and Optimize. Those four key phases will help ensure a successful cloud migration, so we’ve put together this white paper to explore those facets, and we concluded with a handy checklist to help you get started right away, part of which you can see in the screenshot below:
At Google Cloud, we’re here to help make sure your migration goes successful from start to finish (and beyond)! To learn more, download this migration guide and checklist. Or, if you’re really ready to jump start your migration today, you can take advantage of our current offer by signing up for a free discovery and assessment or exploring our Rapid Assessment and Migration Program (also known as RAMP).