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Scenario 1. Service Discovery Only
This chapter describes the scenario that you run Service Discovery only.
Objectives
The following table lists the expected time to complete all service discoveries based on the data we collected in performance tests.
Number of Services | First Run of Service Discovery | Scheduled Rerun of Service Discovery |
---|---|---|
<100 | <4 hours | <4 hours |
<500 | <12 hours | <12 hours |
Note Scheduled Rerun of Service Discovery means rerun all service discoveries on a periodic basis, and the interval can be adjusted.
Test Environment
The performance tests are performed on an environment that meets the following preconditions:
- One service consists of less than 30 Running Software instances, which run on different hosts.
- One host can be discovered by the Host Discovery by Shell job within two minutes if everything works as expected.
Note
-
If the actual environment cannot meet these preconditions, the Service Discovery performance may not reach the above objectives. In this case, you can adjust several configuration settings to improve the Service Discovery performance.
- There is no CI and Relationship discovered by Universal Discovery.
-
The numbers of CIs and Relationships reported by Service Discovery are shown in the table below.
CI Types
100 Services
500 Services
Node
6000
30000
IP Address
6000
30000
J2EE Domain
6000
30000
Running Software
12000
60000
J2EE Application
6000
30000
Service Connection Point
6000
30000
IP Service Endpoint
6000
30000
Consumer-Provider Link
12000
60000
Composition Link
18000
90000
Membership Link
6000
30000
Ownership Link
12000
60000
Usage Link
6000
30000
Configurations
This
The following table lists the configurations we used in performance tests for the scenario of Service Discovery only. They have been verified in testing environment and should be regarded as minimum conditions for Service Discovery only environment.
Role |
CPU |
RAM |
---|---|---|
UCMDB Server |
8 Cores |
32 GB |
Data Flow Probe |
8 Cores |
16 GB |
Database | 8 Cores | 32 GB |
In an environment that has lower hardware configurations, the following results may occur:
- High CPU and memory usage
- Service Discovery cannot finish within the expected time
The following table lists the JVM heap size configurations used in the performance tests.
It is recommended that you make sure the environment meets the following configurations before you run Service Discovery.
Role |
-Xms |
-Xmx |
---|---|---|
UCMDB Server |
4096 MB |
8192 MB |
Data Flow Probe |
2048 MB |
4096 MB |
You can adjust the JVM heap size in the following manner:
- For UCMDB server, set the wrapper.java.maxmemory parameter in the <UCMDB_Server_Home>\bin\wrapper-platform.conf file.
- For Data Flow Probe, set the set.GATEWAY_MAX_MEM and set.MANAGER_MAX_MEM parameters in the <DataFlowProbe_Home>\bin\WrapperEnv.conf file. For more information, see the Data Flow Management section of the UCMDB Help.
By default, the thread pool size on the Data Flow Probe is 80. Increasing this parameter can improve the Service Discovery performance, but will increase the workload on the Data Flow Probe. If you need to run a large number of service discoveries, you can increase this parameter accordingly.
The following table lists the thread distribution used in the performance tests, and we increased the thread pool size to 120.
Job Name |
Number of Threads |
---|---|
Business Element Resolver |
8 |
Host Discovery by Shell |
64 |
Running Software Dependencies |
16 |
You can adjust the thread pool size by setting the appilog.agent.local.services.poolThreads
parameter in the DataFlowProbe.properties file. For more information, refer to the Data Flow Management section of the UCMDB Help.
In the performance tests, we used only one Data Flow Probe. Tests show that a Data Flow Probe with the above configurations is capable of handling 500 service discoveries. If your Data Flow Probe cannot meet the above configurations, you can distribute the service discoveries to multiple Data Flow Probes.
If you want to employ more Data Flow Probes, keep in mind that more Data Flow Probes can speed up Service Discovery but will also increase the workload on the UCMDB Server. Therefore, consider using more Data Flow Probes if the UCMDB Server is not heavily loaded.
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