The basics about the three versions of Oracle Cloud at Customer

Not all companies want to migrate their IT to the cloud. For those who are in this case, Oracle has decided, for two years, to bring them the cloud “on site”. Called Oracle Cloud @ Customer, the appliance is a service fully managed by the publisher but located in the customer’s data center (hence the name).

Oracle provides hardware, installs software layers, manages day-to-day operations, and provides support – all in the form of a monthly subscription.

Cloud @ Customer uses the same technologies as Oracle Cloud and therefore integrates natively with the hosted services of the publisher.

In addition to installation and configuration, Oracle supports patches and version upgrades Рas will be the case next year with OpenWorld 2018 announcements  Рbackups, and it oversees the systems. 24/7. The offering also includes incident management and technical support for both hardware and software components.

There are three major variations of Cloud @ Customer: standard service, Exadata Cloud @ Customer, and Big Data Cloud @ Customer.

Cloud at Customer standard

With the standard appliance, it is possible to run Oracle and non-Oracle tasks by exploiting the capabilities of the three publisher’s cloud: IaaS , PaaS and SaaS .

Like its Oracle Cloud version, Cloud @ Customer’s IaaS is based on open industry standards and offers the key features of this type of offer: compute, storage and network resources. It also supports automation tools like Chef , Puppet and Ansible .

The PaaS component of Cloud @ Customer provides an integrated platform for developing and deploying complementary applications and extensions to Oracle solutions (specific developments).

As for SaaS, Cloud @ Customer makes it possible to use the publisher’s cloud applications (CX / CRM, HCM / HRIS, ERP, Supply Chain) from the company’s own datacenter.

Oracle has made many of its hosted offerings available in Cloud @ Customer. For example, Oracle Java Cloud and Oracle Container Cloud to develop and deploy Java applications. It is also possible to manage access, roles and identities with Oracle Identity Cloud. Not forgetting, of course, Oracle Database Cloud and for analytical Oracle Analytics Cloud.

Cloud @ Customer involves subscribing to a hardware and software subscription, both of which are packaged in a single invoice anyway. The basic hardware offering can be optimized to improve performance or increase storage of the appliance. The pricing of the software part is similar to that of Oracle Cloud.

This year, Oracle added several features to Cloud @ Customer. For example, several services now have a Quick Start wizard. The editor has also redesigned the ergonomics of its “My Services Dashboard” dashboard, by highlighting the key features.

Cloud @ Customer is compatible with Universal Credits , which provide unrestricted access to all Oracle’s PaaS and IaaS services – both current and future, adds Oracle – and¬† the Bring Your Own License , which allows you to transfer an Oracle license to the site. existing cloud offer (and reduce the price by the same amount).

Exadata Cloud at Customer

Exadata Cloud @ Customer is the equivalent of the Oracle Database Exadata Cloud Service, with an offering that offers high-end hardware that is fully compatible with all Oracle databases already deployed on-premises or in Oracle Cloud Infrastructure (OCI). With this appliance, organizations can consolidate any task related to a Oracle database or data warehouse , be it transactional or analytic (or mixed).

Exadata Cloud @ Customer exists in four configurations, with a number of different compute nodes and storage servers. Each configuration has storage and memory capacities and fixed network resources; on the other hand it is possible to modify the number of computation nodes.

The subscription to Exadata Cloud @ Customer is not “in use”, which means that customers must purchase a defined number of units of work over a period of time (“non-metered subscription”).

As with the standard version of Cloud @ Customer, Oracle has made some improvements to the Exadata version with support for Exadata X7 and 18c. In summer 2019, a new update will take advantage of all the automated features of the Autonomous Database – including Machine Learning for threat detection and resolution. The appliance will change to the name change to become Autonomous Cloud @ Customer.

Customers can also define clusters with up to 8 virtual machines on their physical racks. Oracle has also added support for Oracle Data Guard and its Cloud Notification Service.

Oracle Big Data Cloud at Customer

Big Data Cloud @ Customer provides a scalable, scalable Big Data environment that uses the same infrastructure as the Oracle Big Data Cloud. The appliance can perform a wide range of workloads, from traditional Hadoop batch applications to those that include interactive queries using Oracle Big Data SQL or other SQL-on-Hadoop tools.

This Big Data version also includes advanced analytics components. For example, it comes with Oracle’s Big Data Spatial & Graph, Oracle Big Data Connectors and the Cloudera software suite, which includes Hadoop, Spark, Kafka and other open source Apache technologies.

Customers can also deploy external software to support features such as fraud detection and natural language processing .

Big Data Cloud @ Customer is built on the Oracle Big Data Appliance.

Oracle offers two subscription plans, again not related to the use (“non-metered subscription”) but to the configuration. The first plan is the Starter Pack, which includes three nodes. The second plan simply adds nodes to the Starter Pack. Each Hadoop node is built with 32 x86 processor cores, 256 GB of memory, and 48 TB of available storage.

Cloud at customer or not Cloud at Customer? That is the question

Oracle Cloud at Customer offers have many benefits. They can help to comply with regulatory requirements because the data is kept on-site and physically located (see also the insert: “The customer keeps track of their data”). They also provide customers with greater security control while reducing network latencies that can occur with public cloud services.

That said, Cloud at Customer is not suitable for all organizations. While latency, security, and compliance are not top priorities, a company can simply run its workloads on Oracle’s less expensive and more scalable public cloud.

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