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In workload-based consolidation of database instances, you attempt to group together applications that have similar resource profiles For instance, applications that use roughly the same order of magnitude of I/O and CPU (say, 0 to 150 small IOPs at two cores each) can be consolidated together onto a similar number of RAC-enabled database server nodes Traditionally, OLTP was separated physically from data warehousing platforms, but by using IORM, this scenario might be accommodated despite such applications sometimes having wildly different sensitivity to I/O latency and throughput Since OLTP applications are typically highly sensitive to CPU availability, you might want to use instance caging to ensure that OLTP applications always get priority for the CPU and I/O that they need You will probably want to group together database instances onto database server nodes based on their similar workloads, priorities, and SLA levels of availability That way, administration, patching, and security can be adjusted for higher priority applications that can run on physically separate database servers
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For extremely risk-adverse and security-sensitive environments, corporate policies may dictate that database instances must be physically separate and the same for the database storage cells that perform the I/O This is still possible using the Oracle Exadata Database Machine, though it is usually not the optimal approach, since segregating these resources eliminates the possibility of the increased bandwidth and CPU resources being shared between different instances, as well as reducing availability options
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An important and often overlooked opportunity for consolidation is when multiple similar local databases service different time zones and locations Consolidating database instances separately servicing different time zones onto common database servers can be enabled through Oracle s granular security, control, and monitoring Resource groups in Database Resource Manager can take into account the time of day, switching consumers from one group to another or, in cooperation with Oracle Scheduler jobs, switching resource plans based on times Another important consideration involves providing adequate time windows for patching Although almost all maintenance operations for the Oracle Exadata Database Machine can be implemented through a process of rolling upgrades, there are always going to be some things that can potentially require some downtime or require running in a performancedegraded mode for an extended period Of course, Oracle Data Guard or Oracle GoldenGate can be deployed to always ensure that a secondary Oracle Exadata Database Machine is available If you cannot tolerate any performance degradation during the online day or any downtime, you might want to patch during a natural outage window (ie, during the night when fewer users are online as opposed to during the active day) By consolidating applications based on their end-user time zone, patching and maintenance can be scheduled during times that are not so busy and security can be enhanced significantly
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You might decide to group lower-priority database instances and their respective application connections onto specific database servers By overstuffing database instances like test, development, reporting, quality assurance, and installation onto specific database servers, you can maximize
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Consolidating Databases
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Oracle Exadata Database Machine utilization rates and reduce costs In cases where the database instances can still run satisfactorily within a minimum CPU quantity, both instance caging and IORM can help ensure that worst-case scenario outcomes, such as all database instances spiking their resources at the same time, can still be managed with predictable performance
Tight SLA Provisioning
If you decide to not overprovision database servers, you might strictly allocate CPUs through instance caging on a 1:1 basis until the entire database server CPUs are allocated to instances exclusively IORM can be used to define and enforce I/O priority scheduling or percentage sharing Such a consolidation plan ensures that the applications will always have exclusive access to the CPU and I/O priorities that they need to optimally run, but the risk is that some resources will go to waste if they are not actively being used Many take this option, as their database instances and their applications are particularly sensitive to response times and delivering to the SLA is critically important
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