Intelligent CIO Africa Issue 60 - Page 40

Those organisations that are unable to access accurate , timely , relevant , and reliable information from their data run a legacy data centre infrastructure based on proprietary SAN arrays and storage fabric networks . how much ( storage , RAM , vCPU ), and for how long ( spin-down of resources ).
Companies do not have the time or the resources to perform these functions manually in this digitally connected world . There are too many moving parts ( applications ). Today ’ s DBAs must be able to copy / paste a particular database instance and create clones from any point in time .
Building it troubleshooting exceptionally difficult . With an invisible data infrastructure , you know that the environment is integrated with your automation tools and gives DBAs the ability to create a self-service catalogue and perform delegation that controls who gets access , what they get access to ( provision , clone , patch etc .),
To build an invisible data infrastructure , your organisation must follow a software-defined approach to data services . By adding the tools needed to architect an invisible plane that can orchestrate the functions of your databases , your business can unify how data is stored and consumed with a data services platform that is open , operative , and opaque and is supported both on-premises or in the public cloud .
Using integrated database management software , you can automate and simplify management , enjoy oneclick simplicity and invisible operations to database provisioning , lifecycle and copy data management . In essence , this platform paves the way to the advantages inherent in Databases-as-a-Service ( DBaaS ).
The benefit to your business is an end-to-end environment for structured and unstructured data with raw storage in a cloud-like experience with full API-first automation and self-service . When in place , you can enjoy the agility to embrace DevOps while maintaining traditional enterprise apps and speed up provisioning new file servers , object repositories , and databases with simplified recovery , empowering end-users , including DBAs and reducing their dependence on infrastructure and ops teams . p
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