COMPARATIVE ANALYSIS OF SERVICE MESH IMPLEMENTATION PERFORMANCE ON KUBERNETES
Service mesh is a software to enhance the capability of a microservice applications network. Service mesh has many implementation and sometimes choosing which one to use is a difficult task. Service mesh performance needs to be tested and analysed so that the right service mesh can fit an operato...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/65839 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Service mesh is a software to enhance the capability of a microservice applications
network. Service mesh has many implementation and sometimes choosing which one
to use is a difficult task. Service mesh performance needs to be tested and analysed so
that the right service mesh can fit an operator needs. To evaluate a service mesh
performance, a generated traffic load is directed to a running application installed with
a service mesh. Latency and resource usage is then collected during and after the test.
To do the evaluation efficiently, a script is created that will test the service mesh
implementation one by one. Evaluation are conducted in a cloud environment. The
resulting data shows that each implementation of service mesh has their own strength
and weakness. The efficient service mesh are as follows, from the most efficient to the
least efficient: Kuma, Consul, Linkerd, Nginx Service Mesh, and Open Service Mesh.
Kuma has the best performance with an average latency of 2.18 milisecond, average
proxy CPU usage of 460 miliCPU and average proxy memory usage of 6.3 GB. On the
other hand, the highest recorded average latency is Istio with a value of 8 milisecond.
Open Service Mesh has the highest proxy resource usage with an average CPU usage
of 2000 miliCPU and average memory usage of 24.6 GB. |
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