Let’s talk about the cloud. Enterprises are looking to invest an average of $3.5M on cloud apps and services this year, while over three-fourths of enterprises already have at least one application or some part of their infrastructure in the cloud -- that's according to IDG’s most recent Cloud Computing Study. Everyone is trying to keep pace with the massive movement to the cloud. But there are countless challenges with migration. Your firm may lack the tools for discovery and process. Your security posture will need to be translated and you worry that sensitive data like your clients' personally identifiable information (PII) may be at risk. Maybe you don’t have a full picture of on-premises costs, or understand what your operational expenditures will look post-migration. Maybe the most daunting challenge is architecting or re-architecting existing apps and systems...not to mention all the anxiety about disruptions and loss of application responsiveness.
While the benefits of the cloud abound, and enterprise usage proliferates, the process from getting from point A to point B is less clear...and full of speed bumps. On the road to the cloud, here’s how we helped a major financial institution with $938 billion in assets conduct a large-scale migration of workloads.
This migration was the first of its kind for the institution in which it was putting workloads that contained PII into the cloud. Keeping information secure and getting it right the first time was the number one priority. Translating the firm's security posture to the cloud environment and re-architecting the infrastructure and applications to work with cloud services were the biggest challenges.
We helped the firm develop a best-practice template and implement a team of AWS experienced people, paving the way for future migration of workloads to increase agility and efficiency across all the firm’s lines of businesses. Through cloud automation templates, DevOps practices, and outsourced routine maintenance, we helped the firm reduce the burden on their in-house IT team.
Results to Date
► Post-migration uptime reporting conducted on an ongoing basis to demonstrate how current metrics met and exceeded initial expectations.
► Reduce burden on in-house IT by leveraging cloud automation templates, implementing DevOps practices, and outsourcing routine maintenance.
► No loss of application responsiveness with regard to post-migration performance relative to prior baseline.
► Quantifying cost savings.
► Project timeline met the deadlines set by the business and IT.
► Impact on day-to-day operations and business issues fell within acceptable parameters.
Are you ready to move, migrate, and optimize your workloads to AWS? Talk to us about our AWS projects.