Using the Cloud for Production Applications
Some businesses are blindly diving into cloud services, hoping for productivity gains, yet experiencing less than optimum agility, especially for production use cases. Nevertheless, past challenges should not be a deterrent into looking at everything the cloud has to offer today. After all, during the last 18 months we’ve seen a series of important developments related to the deployment of production apps into the cloud, especially for Linux apps.
Naturally, there are several considerations when it comes to cloud migration, such as the importance of a seamless transition, support for continuity, data ownership, and many other critical aspects. Cloud adopters need to learn from the past to properly vet today’s solutions, especially when it comes to production workloads in the cloud.
Traditionally, the talents to perform these chores have been hard to come by, unless a business turns to some type of a partner or vendor to help with the task; hence the importance of cloud migration automation for enterprise adoption. Automation can substantially reduce the costs and time required to deploy production apps in the cloud. Key elements to look for include:
- Intuitive controls: The migration strategy and supporting applications should offer an easy interface that follows a logical progression and offers extensive feedback and reporting.
- Automation: The process should leverage batch controls and simplified automation, leaving administrators to worry about final results and not manual processes.
- Blueprinting and mapping: A utility should be included that maps out the existing IT systems and offers blueprints of how systems interact and are used.
- Provisioning controls: Provisioning of new systems should be easy and be wizard driven or launched via automated policies.
- Hybrid cloud migration: When utilizing a hybrid approach, synchronization of data and automated movement of applications should be implemented.
Without robust automation the business case for cloud adoption is narrowed and ROIs can take years to develop. With automation cloud projects can payoff very quickly, as in months. See, for example, the case of QL2 Software, a Seattle-based data analytics firm that reduced cloud migration costs by more than 75% for a 50 server Linux app migrated from colocation to the AWS cloud. For more depth on this topic, click here to read more from CloudVelox CTO and Co-Founder Anand Iyengar. For more on production use cases in the cloud see The Hybrid Cloud is an Integrated Cloud.