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fix: remove analytics and connector bridge from metrics, fix typos.
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rodrigo-lourenco-lopes committed Oct 30, 2024
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# Chaos Day Summary

Our first goal of this experiment is to use a benchmarks to derive new optimized cluster configuration that can handle at least 100 process instances per
second, while maintaining low backpressure and low latency.
Our first goal of this experiment is to use a benchmarks to
derive new optimized cluster configuration that can handle
at least 100 tasks per second, while maintaining low backpressure and low latency.

For our experiment, we use a newly defined realistic benchmark (with a more complex process model). More about this in a separate blog post.

Expand Down Expand Up @@ -87,9 +88,7 @@ configuration cluster is the G3 - BasePackage HA.
| tasklist | 2 | 2 |
| zeebe.broker | 2.88 | 12 |
| zeebe.gateway | 0.9 | 0.8 |
| zeebeAnalytics | 0.4 | 0.45 |
| connectorBridge | 0.4 | 0.512 |
| **TOTAL** | **16.58** | **25.762** |
| **TOTAL** | **15.78** | **24.8** |

| G3 - BasePackage HA | CPU Limit | Memory Limit in GB |
|-----------------------|-----------|--------------------|
Expand All @@ -99,9 +98,7 @@ configuration cluster is the G3 - BasePackage HA.
| tasklist | 1 | 1 |
| zeebe.broker | 1.5 | 4.5 |
| zeebe.gateway | 0.6 | 1 |
| zeebeAnalytics | 0.2 | 0.3 |
| connectorBridge | 0.4 | 1 |
| **TOTAL** | **8.7** | **14.9** |
| **TOTAL** | **8.1** | **13.6** |


##### Reduction in Resources for our Optimized Cluster
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| | G3-S HA | G3 - BasePackage HA | Reduction (%) |
|:----------------------|--------:|--------------------:|--------------:|
| CPU Limits | 16.58 | 8.7 | 48 |
| Memory Limits | 25.762 | 14.9 | 42 |
| CPU Limits | 15.78 | 8.1 | 49 |
| Memory Limits | 24.8 | 13.6 | 45 |


The process of reducing the hardware requirements was donne initially by
Expand Down Expand Up @@ -172,7 +169,7 @@ only increases significantly if we leave the cluster running at max rate
for long periods of time. For slightly lower rates the write-to-import
latency is kept in the single digits of seconds or lower tens. This might
imply that a these sustained max rates, the amount records generated starts
to be too much for either elasticSearch or our web apps that import these
to be too much for either ElasticSearch or our web apps that import these
records to handle. Some further investigation could be done here to
investigate the bottleneck.

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