As technology changes, so do priorities. For today’s enterprises, the most important pieces of the IT equation are speed, flexibility and agility. However, IT is often overwhelmed with lifecycle management and infrastructure delivery. To keep up with business demands and improve efficiency, IT teams need to make use of automation to accelerate operations.
In an era of transformation, speed and agility of application infrastructure is key. Unfortunately, it can take IT weeks to deliver new application stacks when requested because of manual hand-offs across a fragmented set of ‘software-definable’ technologies on-premises. This inefficiency leads teams to bypass IT in favor of public cloud application services which raises cloud costs and opens security holes.
In order for developers to keep up with the speed of business, new innovations in storage, backup, and disaster recovery are being rolled out at a breakneck pace. To stay competitive, enterprises must adopt these new methods and technologies for faster restores and greater opportunities to leverage the true value of data across their organization.
Nearly every enterprise is in the process of expanding their use of cloud. This makes a lot of sense; the cloud enables IT teams to speed up the delivery of services while reducing operational costs. The process is far from easy, however. Cloud implementation has become complex and difficult for businesses to handle without seeking qualified advice outside their internal IT resources—and without the right expertise of cloud-native automation, companies risk losing the benefits that prompted their cloud investment in the first place.
Within the last few years, there has been a dramatic shift in how enterprises manage their data. Many are leaving the in-house servers behind as their only source of data management and using some mixture of cloud computing. [click to tweet] As it sounds, multi-cloud model uses multiple cloud computing and storage services within a single architecture.