Whether you’re using a private, public or hybrid cloud to open applications, and deploy software or access data, you’re computing using the Web rather than a local server or machine. The word “cloud” is just a different way of saying “the Internet,” as it applies to computing and the use of Web services including hosting through virtual servers. Different types of cloud computing are better for different consumer and enterprise needs. For enterprise needs, the most agile and secure cloud environment is the most desirable. This almost always means the choice between private and hybrid cloud computing environments. For many enterprise users, private cloud computing is known to be more secure but less agile, driving them to choose hybrid cloud. But, changes in IT and development have brought about a more agile private cloud, which we’ll discuss later in this article.
Different types of cloud computing offer a variety of different environments. It’s important to know the difference between cloud types when deciding which kind you’ll use for your enterprise or personal use.
Public cloud computing is the use of a service provider’s storage, applications or other resources available to anyone with internet access. Public cloud computing is typically free under a specific amount of use or storage. Once a ceiling of use has been met, public cloud use comes at a cost, which is generally monthly. Public cloud can be great for storing family photos or housing personal documents and spreadsheets, but its “open to the general public” architecture and overall storage approach make it less secure than private clouds. The advantage of public cloud is that it moves fast because it’s made to handle trillions of operations and instances. That makes spinning up and tearing down applications a process that takes seconds rather than minutes.
Private cloud computing is an environment touted for its security. For this reason, private clouds are typically thought of as being used by corporations and other large entities in need of heightened network security. Unlike public clouds, private cloud computing is not open to multiple end-users. It doesn’t allow resources to be used or accessed by any user or machine outside the private network. For enterprise use, private cloud computing can look great for security. But, when not constructed using the right building blocks (containers and VMs) and not managed using the right services, it’s often too slow, especially for software development and information technology operations (DevOps).
Hybrid cloud computing is an environment that integrates public cloud services through a third-party provider with a private cloud computing environment that runs on a privately hosted network. For ventures utilizing a lot of resources for spinning up and tearing down applications, and for ventures that need a secure area to store data, hybrid computing can feel like the perfect choice. Companies often use the public side of their hybrid cloud to execute operations that don’t reveal user data, proprietary client information or medical or financial records. Conversely, they will use the private cloud computing environment with their infrastructure to open sensitive files and other documents that require a more secure environment.
Computing large workloads requires deep performance reserves. This is where virtualized databases can be your champion. When you house applications and their dependencies in all-flash storage arrays, you’ll get the speed, scalability, security and visibility you need. Cloud computing the uses virtual storage for every level of DevOps. It offers advantages and predictability not available through traditional storage environments.
Powering your cloud with virtual servers guarantees performance demands will be met without the hiccups associated with physical storage architecture. Virtual database cloud computing is done on virtual machines (VMs) and containers rather than logical unit numbers (LUNs) and volumes, which can’t get down to the same granular operation level. Combining better, faster and larger database storage with expedited deployment of applications gives your enterprise the best of both worlds to meet the needs of developers and IT teams.
Web services architecture recognizes and works with VMs and containers—the building blocks of cloud environments—allowing you to compute and connect to share information within your network. It uses eXtensible Markup Language (XML) to represent, store and transport data so there’s no need for a universally used operating system (OS) for those within your network. You can publish a cloud or other Web service so it can be located by those who need to use it. With simpler integration between infrastructures, the loosely coupled nature of Web service architecture means greater flexibility for computing large quantities of data across any local or global network. You can execute as many operations as you need to within as many applications as you want without worrying about latency or failures. Web services architecture via XML means tremendous support in cloud computing to invoke functions, procedures, software and the most complex files within the virtual space.
Tintri Enterprise Cloud has the same speed and agility public cloud computing offers. It uses the same VM and container building blocks that make spinning up, tearing down and accessing information a super fast process. A remote network of all-flash storage means more compact and easier to manage databases. It also means lower overhead from using less energy and less rack space within data centers.
Managing databases and servers with Tintri all-flash storage means you’ll never worry about performance reserves for your critical applications or databases again. With our all-flash arrays, developers and IT teams can assign each VM or database its own lane. This means the end of sharing resources and the death of “noisy neighbor” conflicts between LUNs and volumes used in conventional storage. The Tintri user interface (UI) allows visibility across your host, storage and network, which means never having to guess where the root of a problem is if you do experience latency.