Since their inception decades ago, most enterprise data centers have grown steadily in size and complexity; today operate hundreds of production databases. Despite impressions to the contrary, relational database deployment has continued to increase. IDC expects number of server systems deployed to manage relational databases will increase from 1.1 million in 2016 to 4.2 million in 2021; for a five-year compound annual growth rate of 30.2%. These databases are applying ever-increasing pressure on both database administration and operations staffs; despite the fact that most organizations have been trimming, not expanding, those staffs.
Need of a Fast, Reliable, and Secure Database
Database failures can cause a chain reaction of disfunction: In most cases, databases are tied to other databases through either streaming data connections or extract, transform, and load (ETL) processes, so a breakdown on the source end can negatively impact the target. Most datacenters have elaborate procedures in place to minimize the incidence of failure and also to minimize its impact when it does occur. These procedures are largely manual.
Enterprise databases are getting more numerous and more complex all the time. Their inter-dependencies through data integration also sets them up to fall like dominoes in cases of sluggishness or outright failure. To prevent this, enterprises employ armies of operational DBAs to continually monitor, tune, and recover databases. Yet budget constraints often prevent those DBA teams from growing to match the work required, so the higher-value work of making databases more responsive to the needs of the enterprise often fall by the wayside.
Why Oracle Automation Cloud
Public cloud services offer a partial response to this problem by alleviating the routine work of system, application, and database maintenance, but the work of keeping the databases running with peak performance is still a labour-intensive function. To address this problem, enterprises should consider the following:
- Make a comprehensive plan for moving all systems not requiring locally resident data to a public cloud service.
- Consider a locally delivered cloud service appliance, such as Oracle’s Oracle@Cloud, for the management of data that must remain local.
- Tally the costs and risks that are associated with the current manual method of managing enterprise databases in your datacenter. If those costs and risks are unacceptable, consider turning to Oracle Autonomous Database as a means of protecting the enterprise from unnecessary constraints on enterprise performance, productivity, and agility.
Read this whitepaper to learn the emergence of a database offering; as it promises to ensure the best possible availability and response times without requiring any human intervention at all.
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