1. Application specific The list of applications require SQL
2. As a service
Step 2 Decide Roles
1. Database engine
2. Integration services
3. Analysis services
4. Reporting services
5. Master data services
Step 3 Design Database Engine
1. Capacity and performance requirements
a. Disk storage database, transaction log, indexes and tempdb
b. IOPS and Throughput Smaller drives are better than one big one
2. Database in New/Existing Instance
a. Regulatory requirements
b. Memory isolation
c. Fault tolerance
d. Authentication
e. Security concerns
f. Support requirements
3. Instance on New/Existing server
4. Number of servers
a. Scaling out
i. Scalable shared database
ii. Peer-peer replication
iii. Linked servers and distributed queries
iv. Distributed partition views
v. Data-dependent routing
vi. Service-oriented data architecture
vii. Service broker
Scale-out solution
|
Update frequency
|
Ability to change application
|
Data partitionability
|
Data coupling
|
Scalable shared databases
|
Read only
|
Limited or no change required
|
No requirement
|
No requirement
|
Peer-to-peer replication
|
Read mostly, no conflicts
|
Limited or no change required
|
No requirement
|
No requirement
|
Linked servers
|
Minimize cross-database updates
|
Minor changes
|
Not typically required
|
Important to have coupling
|
Distributed partition views
|
Intended mostly for read
|
Some changes may be required
|
Very important
|
Limited impacts
|
Data-dependent routing
|
Frequent updates okay
|
Significant changes possible
|
Very important
|
Low coupling may help some applications
|
Service-Oriented Data Architecture
|
Frequent updates okay
|
Changes usually not required
|
Not required, unless combined with DDR
|
Low coupling between services required
|
Service Broker
|
Frequent updates okay
|
Significant changes possible
|
No requirement
|
No requirement
|
5. Placement of each new instance
a. Location of instance
b. Physical or virtual
c. Existing or new hardware
6. Select hardware
Step 4 Integration Services Infrastructure
1. Resource requirements
2. Integration services packages locations
3. Number of SSIS servers
4. Placement
Step 5 Analysis Services Infrastructure
1. Resource requirements
a. Disk storage
b. IOPS and throughput
c. Memory and processor
2. SQL server version
3. Scalable shared database used
4. Scaling needs
5. Cluster
6. Placement
Step 6 Reporting Services Infrastructure
1. Resource requirements
a. Disk storage ReportServer Database ReportServerTempDB Database
b. Memory 2-4GB per core
2. Placement of databases
3. Scaling and fault-tolerance approach
4. Placement of servers
Step 7 Master Data Services Infrastructure
1. Resource requirements
a. Services database
b. Services web server
2. Scaling and fault-tolerance
3. Placement of databases
4. Placement of web servers
Step 8 Perfomance Enhancement
1. Use Parallelism MAXDOP=1 if SQL server performance is suffered, using such as BI, replication, along with the Parallelism cost configuration;
2. Increase transmit coalescing size in VMXNET NIC from 0 to 128 in physical host;
3. Increate Disk.SchedNumReqOutstanding from 32 to 64 in physical host to avoid I/O command queuing;
4. Lock SQL server Buffer Pool Pages in memory using local group policy security settings.
No comments:
Post a Comment