This article is condensed and originally appeared in VMblog.
The abrupt shift to remote work this year has required businesses to rely more fully on digital technologies powered by the cloud. Since initial migration, IT teams have leveraged the cloud to transition their workforce to remote operations. Some businesses have also shifted their customer service, retail, delivery and other aspects of their services to online or contactless settings.
As IT teams continue to reap the many benefits the cloud offers, they might also run into a few questions that often come with navigating a new terrain.
For example, with an uncertain future of in-office vs. distributed workforces at hand, some decision makers are asking, “now what?” as they evaluate next steps for how to navigate their new cloud-based services and workforce. As they ponder, they’re wondering how they can leverage cloud-based tools for everyday use and to scale their services for future growth.
Understanding how to overcome common pain points of cloud migration will help businesses stay on the cutting edge and position themselves for continued growth in the future. Outlined below are a few useful tips for new cloud adopters to ensure long-term success.
Scaling without disruption
The cloud removes the physical constraints to scalability. Unlike on-premises infrastructure, cloud-based systems allow organizations to quickly scale to accommodate new staff, new office locations and/or offer new services or modify existing offerings.
One common pain point IT teams and decision makers might face is determining how to scale services without disrupting current operations or services. To streamline scaling and overcome this hurdle, decision makers might consider autoscaling. Autoscaling is the process of dynamically allocating resources to match performance requirements. It includes both the capacity of a resource as well as the instances of a resource. As the volume of work grows and customer preferences change, an application might need additional resources to maintain the desired performance levels and satisfy service-level agreements (SLAs). Alternatively, as other demands lessen and the resources are no longer needed, resources can be de-allocated to minimize costs.
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