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Oracle Capacity Planning And Sizing Spreadsheets Crack

Oracle Capacity Planning And Sizing Spreadsheets Crack 5,9/10 6199 votes

To estimate a typical busy load, you multiply the value of an average heavy load by a small integer such as 2 or 3. This allows for usage patterns that are two or three standard deviations higher than an average heavy load, assuming a Gaussian distribution (bell curve) of loads. To base your estimate on the peak load for the deployment • Measure usage over a significant period of time to obtain measurements from the busiest period. • Choose the highest value seen in a production deployment to use during the next step. • Estimate the parameters of a typical busy load by multiplying the value of an average heavy load by a small integer such as 2 or 3.

Disk Space Sizing: A general rule of thumb is to multiply your LDIF file size by 5 to establish the actual LDAP disk space needed for entries and the index. During LDAP initialization, the host computer needs at least the same amount temporary disk space as the LDIF file size multiplied by 5. Each backup copy of your LDAP content requires the same amount of disk space as that of the live LDAP server. For example, an LDIF file for 1 million users is approximately 2 GB in size.

Project capacity planning spreadsheet

Oracle Database Capacity Planning How to Scientifically start doing Capacity Planning for an Oracle Database AIOUG Tech Day @ Pune Date: 28th July, 2012 1.

2.5 Oracle Access Manager Reference Server Footprint This discussion provides details based on use cases created by Oracle to establish a point of reference for Oracle Access Manager components in live deployments of varying size. A small scale deployment can be estimated as up to 20,000 users. A small-to-medium-sized deployment typically includes up to 100,000 users. Large scale deployments include from 100,000 to 2,000,000 users. Oracle Access Manager components perform well on standard hardware. Based on tests with various configurations (Config4 shows the highest memory consumption), you may find that: • 100,000 active user sessions may consume from 600 MB to 1 GB of memory on an Access Server • With 32-bit systems, the Operating System can usually support up to 2 GB of memory per process The following topics provide more information about the hardware for Oracle Access Manager deployment sizes: • •.

If there is no way to meet required uptime requirements using simple backup schemes then more esoteric architectures may be indicated such as multi-channel tapes, hot standby databases or even Oracle Parallel Server. Let?s say we require a 24X7 uptime requirement with instantaneous failover ( no recovery time due to the mission critical nature of the system.) This type of specification would require Oracle Parallel Server in an automated failover setup. We would also use either a double or triple disk mirror so that we could split the mirror to perform backups without losing the protection of the mirroring. Let?s compile what we have determined so far: Hardware: 2 - 4 CPU (at highest speed CPU we can afford) with at least 1 gigabyte (preferably 2) of shared RAM, at least 2 disk controllers each with multiple channels, 90 gigabytes of disk resource using a three way mirror to give us one 30 gig triple mirrored array. The systems themselves should have an internal disk subsystem sufficient to support the operating system and any swap and paging requirements. Systems must be able to share disk resources so must support clustering.

For more information, see. Disk Space Sizing: A general rule of thumb is to multiply your LDIF file size by 5 to establish the actual LDAP disk space needed for entries and the index. During LDAP initialization, the host computer needs at least the same amount temporary disk space as the LDIF file size multiplied by 5. Each backup copy of your LDAP content requires the same amount of disk space as that of the live LDAP server. For example, an LDIF file for 1 million users is approximately 2 GB in size. When loaded, a 2 GB LDIF file expands to approximately 10 GB. When you take into account the temporary space during initialization, and space required for three full backup copies, you need at least 2 x 5 x 5 = 50 GB disk space: LDIF size * 5 = Expanded LDIF size Total LDIF * 2 = LDIF and Temporary space Total LDIF * 3 = Backup space Expanded LDIF * 2 + Backup space = Total Disk Space For example: 2 GB * 5 = 10 GB * 2 = 20 GB + 30 = 50 GB Memory Sizing: This depends on the LDAP server and the deployment configuration you choose.

2.4.2 Scale-Out Characteristics Scaling out, also known as scaling out horizontally, refers to adding more physical servers to increase the capacity in your deployment. Shows Oracle Access Manager scale-out characteristics based on a series of tests that run with from one to four identical Wintel servers. In this series of tests each Oracle Access Manager server was driven to 100% CPU, and then the throughput was measured. You can see an almost straight linear increase ion throughput as the number of servers increase.

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Oracle capacity planning generally involves these decisions - Get tablespace sizing computations. - See Oracle table sizing rules and index sizing spreadsheets. - Get a framework for Oracle capacity planning. - Get SGA sizing calculations. Most professionals create spreadsheets for accurate Oracle capacity planning but they are quite complex and time-consuming.  Again, we recommend downloading our Oracle.

Using ASSM (bitmap freelists))? - And many, many other internal factors that effects the total size of tablespaces, tables and indexes. Oracle capacity planning generally involves these decisions - Get tablespace sizing computations. - See Oracle table sizing rules and index sizing spreadsheets. - Get a framework for Oracle capacity planning.

Oracle Capacity Planning And Sizing Spreadsheets Cracking

If the users data needs exceed the size of one UNDO extent then a second is assigned, this is called an EXTEND. When a user forces a rollback segment to extend beyond the OPTIMAL setting for that rollback segment, the next user to use the rollback segment must wait for the rollback segment to go back to the OPTIMAL setting, this is called a SHRINK. When a WRAP, EXTEND or SHRINK occurs this results in an UNDO WAIT (either block or header) condition. A WRAP causes a very minor wait, an EXTEND into a newly assigned extent a slightly more expensive wait and the SHRINK the most expensive wait. By properly sizing rollback segment extents virtually all waits will be of the lower expense WRAP and EXTEND type and not the SHRINK type. Ideally all UNDO WAIT conditions should be caused by WRAP situations.

Finally, each of these users will probably require some amount of disk resource (less if they are client-server or web based) let?s give them 5 meg of disk to start apiece, that adds up to 5 gigabytes of disk (give or take a meg or two.) Step 3: Determine Hardware Requirements to Meet Required Response Times and Support User Load: This step will involve the system administrator and perhaps the hardware vendor. Given our 1000:100:10 mix of users and any required response times numbers they should be able to configure a server that will provide proper performance. Usually this will require multiple, multiple-channel disk interfaces and several physically separate disk arrays. Step 4: Determine Backup Hardware to Support Required Uptime Requirements: Here again the system administrator and hardware vendor will have a hand in the decision. Based on the size of disks and the speed of the backup solution maximum recovery time should be developed.

Obtaining Object Growth Trends The OBJECT_GROWTH_TREND procedure of the DBMS_SPACE package produces a table of one or more rows, where each row describes the space use of the object at a specific time. The procedure retrieves the space use totals from the Automatic Workload Repository or computes current space use and combines it with historic space use changes retrieved from Automatic Workload Repository. Please refer to [ARPLS] for detailed information on the parameters of this procedure. The procedure requires as input the following values: • OBJECT_OWNER: The owner of the object. • OBJECT_NAME: The name of the object. • PARTITION_NAME: The name of the table or index partition, is relevant. Specify NULL otherwise.

The answer to this question also helps determine how much memory will be required. What response times are expected? This question is important because it drives number, type and speed of CPU resources as well as network issues. In addition it will drive disk configuration issues such as number and speed of disks, number and speed of controllers, disk partitioning decisions. What system availability is expected?

Resource Specification for Oracle In resource specification there are several questions which must be answered. • How many users will be using the system both now and in the future?

There is some degradation to baseline Web server performance (about 10% to 20%) when hosting a WebGate. Based on this estimate, Oracle recommends that you add one additional Web server/WebGate pair for every five Web server/WebGate pairs in the deployment.

All of this actually falls under the topic resource and capacity planning. Resource and Capacity Planning Oracle is a resource intensive database system. The more memory, CPU and disk resources you can provide Oracle, the better it performs. Resource planning with Oracle becomes more a game of 'how much can we afford to buy' instead of 'what is the minimum configuration'. A minimally configured Oracle server will not function in an efficient manner. Resource Specification for Oracle In resource specification there are several questions which must be answered. • How many users will be using the system both now and in the future?

2.5.1 Hardware for Small-to-Medium Deployments For small to medium-sized deployments with between 20,000 and 100,000 users, any supported server-class computer and operating system should be adequate for the Identity and Access Server. The following items should be taken into account: • Failover requirements double the number of machines needed.

However, this is usually done before the start of project with a thorough understanding of the final system requirement. Sizing hardware is always a challenge.

This question is important because it effects how much processing power is going to be required. The number of users will determine number and speed of CPUs, size of memory, network related configuration. How much data will the system contain both now and in the future, do we know growth rates?

The design of the database will also drive the placement and number of tablespaces and other database resources such as size and quantity of redo logs, rollback segments and their associated buffer areas. Generally the database block buffer areas of a database SGA will size out at between 1/20 to 1/100 the physical sum of the total number of database file sizes. For example if the database physical size is 20 gigabytes the database block buffers should size out to around 200 megabytes to 1 gigabyte in size depending on how the data is being used.

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Ul 1332 standard. Lets choose 400 megabytes for our database block buffer size, 70 megabytes for the shared pool, 4-10 megabyte log buffers (40 megabytes) and a sort area size of 10 megabytes. We are looking at a 500-600 megabyte SGA with the other non-DBA sizable factors added in. Since you are not supposed to use more than 60% of physical memory (depending on who you ask) this means w will need at least a gigabyte of RAM.

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Storage Capacity Planning Spreadsheet

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Oracle Capacity Planning Guide

Use to establish your sizing requirements. For more information about Oracle Access Manager requirements, Web server requirements, and how to prepare for and install components, see the. 2.6 Considerations for the LDAP Directory Server In addition to the Lightweight Directory Access Protocol (LDAP) directory server considerations discussed in, Oracle recommends that you consider using multiple LDAP directory servers to balance the load if there are significant update operations that involve the Identity Server (or Identity and Access Servers in a joint deployment). This is especially true for password policy-related operations. In such cases, a multi-master and replica for the LDAP server allows you to configure load balancing between the Identity Server and the LDAP replica (as well as between the Access Server and LDAP replica in a joint Identity and Access System deployment). When authenticating against the LDAP directory, consider enabling Access Server's user credential caching. This can significantly lower the load on the LDAP directory server during authentication, and improve throughput.