In an enterprise IT environment, it’s common for hundreds or even thousands of copies of databases to be created over time. Sitting idle, consuming on-premises infrastructure, these forgotten relics can equal millions of dollars of wasted CapEx. As Big Data becomes the norm, database infrastructure management has become increasingly complicated. Relational DB Service is an obvious solution for balancing the increasing need for dynamic databases at the user's discretion while minimizing infrastructure costs.
The challenge for companies has long been how to provide accelerated IT on-demand. With ever increasing competition across technology and data products and services, these companies are ramping up cycles to increase velocity of market-ready product and services. Work groups need the ability to spin up database instances fast, while corporate security wants to ensure that compliance, risk, and security requirements are met. Relational DB Service enables customers to provision database environments on-demand without having to purchase new hardware or manage complex licensing models, all while providing complete access anytime.
Virtualization has saved billions in IT costs and will perpetuate that as more workloads get virtualized. Enterprises are seeing a large cost reduction in infrastructure budgets, while database budgets continue to increase. Data is growing at an exponential rate, and more applications and services are being added to the market at record speeds. At the same time, teams are expected to produce more, faster, with a constantly shrinking overall budget.
Recent hypervisor advancements such as significantly larger memory and I/O capabilities provide enhanced performance and scalability that enable IT departments to consider a much broader set of applications as candidates for virtualization. Companies are virtualizing business-critical applications, mission-critical databases, as well as test and development databases. Virtualizing this higher tier of IT infrastructure puts added demands on storage, in terms of reliability and availability. Backup solutions, continuous operations, performance, and database manageability become more crucial and require no-compromise solutions for these critical applications. Relational DB Service meets those requirements by providing full-management and instant deployment, removing the hassle and infrastructure concerns from the equation.
Data-driven decision management (DDDM) is an approach to that utilizes big data collection as a means of gaining a competitive edge. The data-driven approach is gaining popularity within the enterprise sector as the amount of available data increases in tandem with market pressures. A study from the MIT Center for Digital Business found that organizations driven by data-based decision making had 4% higher productivity rates and 6% higher profits. The reliance on databases is key to this business model and has increased the need for improved ways to access, utilize, scale, and extract data. Companies want to better understand their customers usage of the Internet, applications, retail and services. As DDDM infiltrates into enterprises, data will power businesses more than ever, through analytics, as real production data becomes a crucial factor in gaining the competitive edge. That's where Relational DB Service comes in, offering organizations a fast, easy, reliable and secure option to spin up databases to meet today's business demands.
Relational DB Service is a great way to test drive a database. Take advantage of the ease and speed of deployment the service offers, and the associated cost savings. With just a few clicks from our Control Portal, you’ll have an environment that allows you to move some portion of your data to test interoperability with your workflow. Without Relational DB Service, you have to tie up precious IT resources – both human and infrastructure – to build out a database that you may only need for a few days or weeks. With Relational DB Service, you can spin up a MySQL database instance in as quickly as a few minutes and get right to the nitty gritty of your Proof of Concept.
In rapid development environments, CenturyLink Cloud Relational DB service can be employed to simplify and accelerate infrastructure turn-up and minimize database server sprawl, particularly for test and development environments. New applications can be developed, tested and deployed quickly and cost effectively using Relational DB Service, and as the application's data workloads scale, so can the Relational DB instance. Scaling resources is as easy as a click of a button or API call, making it easy to keep up with the success of your application. Just as important, with Relational DB Service you can decommission resources at will so you're not paying anything you don't need. All of this enables IT organizations to produce more, faster and with less budget — necessary elements to support agile development.
Any database administrator can tell you how challenging it is to adapt a database from dev into test and eventually into production. How many resources are needed? How much storage? How much RAM? How many vCPUs? Our Relational DB Service provides a safe and simple way to help transition a database through the application development process. During the development phase, Relational DB Service can provision databases in low-cost configurations geared toward development activities.
As the application evolves, the Relational DB Service allows you to seamlessly scale these databases for production, reconfiguring them with higher levels of availability and performance. Or you can just turn off any instances that you don’t need once you’re out of dev/test. Relational DB Service takes the pain out of managing the infrastructure so you can put your energies into more important things, and improve your ability to transition seamlessly from Development to Production.