Table of Contents |
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- Comparing kafka.m5.2xlarge against kafka.m7g.2xlarge instance type
- Data Import durations and CI/CO response time do not differ significantly. The number of requests during in 2 hour CI/CO with Data Import test stayed the same tests were similar for both MSK clusters- 287669 in m5 and 287155 in m7g MSK instance type.
- Resource utilization
- Memory utilization didn't differ a lot between two MSK clusters
The m7g instance type consumes fewer resources in both idle and CICO+DI scenarios. CPU utilization is almost the same in the idle state but it is 3% to 18% lower under load during CI/CO + DI with the m7g instance type.
- Delta for CPU utilization shows in mod-di-converter-storage-b 20% decrease for update job and 10% decrease for mod-feesfines-b module. The most part of Average DB CPU utilization is 85% during create jobs and 87% during update jobs for tests with different MSK instance types. DB CPU utilized 15% during Check-In/Check-Out period without DI.
- Average connection count is about 850 connections for create and update jobs with CI/CO and 730 connections for CI/CO without data import for tests with different MSK instance types.
- MSK instance CPU and Disk utilization is similar in both kafka.m7g.2xlarge and kafka.m5.2xlarge.
- Deltas for CPU utilization shows in mod-di-converter-storage-b 20% decrease for update job and 10% decrease for mod-feesfines-b module. The rest modules CPU utilization deltas fluctuate under 10%.
- Average DB CPU usage for both MSK clusters during data import is 85% during create jobs and 87& during Update jobs. Check-In/Check-Out period without DI - 15%.
- Average connection count for both MSK clusters during data import is about 850 connections for create and update jobs with CI/CO. And 730 connections for CI/CO without data import
- MSK instance CPU and Disk utilization remain on the same level in kafka.m7g.2xlarge against kafka.m5.2xlarge or even decreased.
Test Runs
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Test #
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Scenario
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Test Results
This table shows results of Check-In/Check-out and Data Import create and update jobs.
The only difference between tests is MSK cluster instance type. Cluster ptf-mobius-testing2 has kafka.m5.2xlarge and cluster PERF-921 has kafka.m7g.2xlarge
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Check-in/Check-out without DI
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Response time, sec
MSK instance: kafka.m5.2xlarge
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Response time, sec
MSK instance: kafka.m7g.2xlarge
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Comparison
Data Import durations and Check-In/Check-Out response time comparison
Data Import durations and CI/CO response time do not differ significantly. The number of requests during 2 hour CI/CO with Data Import test stayed the same 287669 in m5 and 287155 in m7g MSK instance type.
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Kafka resource utilization comparison table
The m7g instance type consumes fewer resources in both idle and CICO+DI scenarios. CPU utilization is almost the same in the idle state but it is 3% to 18% lower under load during CI/CO + DI with the m7g instance type.
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This table show comparison results of CICO without Data Import in two MSK clusters
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Test Runs
Test # | MSK instance type | Scenario | Load level |
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1 | kafka.m5.2xlarge | CICO + DI MARC Bib Create | 8 users + 5K, 25K sequentially |
2 | DI MARC Bib Create | 5K, 25K sequentially | |
3 | CICO + DI MARC Bib Update | 8 users + 5K, 25K sequentially | |
4 | DI MARC Bib Update | 5K, 25K sequentially | |
5 | kafka.m7g.2xlarge | CICO + DI MARC Bib Create | 8 users + 5K, 25K sequentially |
6 | DI MARC Bib Create | 5K, 25K sequentially | |
7 | CICO + DI MARC Bib Update | 8 users + 5K, 25K sequentially | |
8 | DI MARC Bib Update | 5K, 25K sequentially |
Test Results
This table shows results of Check-In/Check-out and Data Import create and update jobs.
MSK instance: kafka.m5.2xlarge | |||||
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Job profile | File size | DI Duration without CI/CO | DI Duration with CI/CO | CI with DI Average sec | CO with DI Average sec |
PTF - Create 2 | 5k | 00:02:31 | 00:02:54 | 0.899 | 1.409 |
25k | 00:11:49 | 00:12:49 | 0.724 | 1.152 | |
PTF - Updates Success - 6 | 5k | 00:03:06 | 00:03:14 | 0.807 | 1.257 |
25k | 00:15:00 | 00:15:30 | 0.784 | 1.275 | |
MSK instance: kafka.m7g.2xlarge | |||||
Job profile | File size | DI Duration without CI/CO | DI Duration with CI/CO | CI with DI Average sec | CO with DI Average sec |
PTF - Create 2 | 5k | 00:03:05 | 00:02:39 | 0.707 | 1.104 |
25k | 00:12:03 | 00:12:08 | 0.718 | 1.129 | |
PTF - Updates Success - 6 | 5k | 00:03:36 | 00:03:34 | 0.742 | 1.124 |
25k | 00:17:05 | 00:17:33 | 0.756 | 1.148 |
Check-in/Check-out without DI
Scenario | Load level | Request | Response time, sec | Response time, sec | ||
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95 perc | average | 95 perc | average | |||
Circulation Check-in/Check-out (without Data import) | 8 users | Check-in | 0.669 | 0.570 | 0.720 | 0.606 |
Check-out | 1.152 | 0.960 | 1.241 | 0.969 |
Comparison
Data Import durations and Check-In/Check-Out response time comparison
- Data Import durations and CI/CO response time do not differ significantly. The number of requests in 2 hour CI/CO with Data Import tests were similar for both MSK clusters- 287669 in m5 and 287155 in m7g MSK instance type.
Job Profile | File size | DELTA, DI without CI/CO | DELTA, DI+CI/CO | DELTA, CI | DELTA, CO |
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PTF - Create 2 | 5k | 00:00:34 | 00:00:15 | 0.192 | 0.305 |
25k | 00:00:14 | 00:00:41 | 0.006 | 0.023 | |
PTF - Updates Success - 6 | 5k | 00:00:31 | 00:00:20 | 0.065 | 0.133 |
25k | 00:02:06 | 00:02:03 | 0.028 | 0.127 |
Check-in/Check-out without DI
Scenario | Load level | Request | Response time, sec | Response time, sec | Delta | ||
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95 perc | average | 95 perc | average | Average | |||
Circulation Check-in/Check-out (without Data import) | 8 users | Check-in | 0.669 | 0.570 | 0.720 | 0.606 | 0.036 |
Check-out | 1.152 | 0.960 | 1.241 | 0.969 | 0.009 |
MSK resource utilization (CPU)
Load scenario | Brokers | MSK instance: kafka.m5.2xlarge | MSK instance: kafka.m7g.2xlarge | 95 perc | Average | 95 perc | Average | Average |
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Circulation Check-in/Check-out (without Data import) | 8 users | Check-in | 0.669 | 0.57 | 0.72 | 0.606 | 0.036 | |
Check-out | 1.152 | 0.96 | 1.241 | 0.969 | 0.009Delta, % | |||
CICO | 1 | 13.7625025 | 10.6770835 | -3.08 | ||||
2 | 11.94791625 | 9.87916575 | -2.06 | |||||
CICO+DI | 1 | 38.09166625 | 31.13749875 | -6.95 | ||||
2 | 33.82291125 | 32.53334625 | -1.28 |
Response time
MSK instance: kafka.m5.2xlarge
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MSK instance: kafka.m5.2xlarge
MSK instance: kafka.m7g.2xlarge
DB CPU Utilization
Average DB CPU usage for both MSK clusters during data import is 85% during create jobs and 87& during Update jobs. Check-In/Check-Out period without DI - 15%.
MSK instance: kafka.m5.2xlarge
MSK instance: kafka.m7g.2xlarge
DB Connections
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MSK instance: kafka.m5.2xlarge
MSK instance:
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kafka.m7g.2xlarge
MSK instance resource utilization
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title | MSK resources table |
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DB CPU Utilization
Average DB CPU utilization is 85% during create jobs and 87% during update jobs for tests with different MSK instance types. DB CPU utilized 15% during Check-In/Check-Out period without DI.
MSK instance: kafka.m5.2xlarge
MSK instance: kafka.m7g.2xlarge
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DB Connections
Average connection count is about 850 connections for create and update jobs with CI/CO and 730 connections for CI/CO without data import for tests with different MSK instance types.
MSK instance: kafka.m5.2xlarge
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Appendix
Infrastructure
PTF -environment qcp1
- 10 m6i.2xlarge EC2 instances located in US East (N. Virginia)us-east-1
1 database instance, writer
Name Memory GIB vCPUs max_connections db.r6g.xlarge
32 GiB 4 vCPUs 2731 - MSK ptf-mobius-testing2
- 2 m5.2xlarge brokers in 2 zones
Apache Kafka version 2.8.0
EBS storage volume per broker 300 GiB
- auto.create.topics.enable=true
- log.retention.minutes=480
- default.replication.factor=2
- MSK perf-921-g2
- 2 m7g.2xlarge brokers in 2 zones
Apache Kafka version 2.8.2.tiered
EBS storage volume per broker 300 GiB
- auto.create.topics.enable=true
- log.retention.minutes=480
- default.replication.factor=2
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