Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes
This thesis investigates the scalability of a system in Kubernetes, comparing two scaling methods: Horizontal Pod Autoscaling (HPA) and Kubernetes Event-Driven Autoscaling (KEDA). The study uses a Proof of Concept (POC) for a company that wishes to remain anonymous. The research tests the system...
- Autores:
-
Neira Campos, Juan Camilo
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75258
- Acceso en línea:
- https://hdl.handle.net/1992/75258
- Palabra clave:
- Kubernetes Event-driven Autoscaling (KEDA)
Horizontal Pod Autoscaling (HPA)
Kubernetes
Amazon SQS
Scalability
Event-Driven Architecture
Ingeniería
- Rights
- openAccess
- License
- Attribution 4.0 International
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Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes |
| title |
Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes |
| spellingShingle |
Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes Kubernetes Event-driven Autoscaling (KEDA) Horizontal Pod Autoscaling (HPA) Kubernetes Amazon SQS Scalability Event-Driven Architecture Ingeniería |
| title_short |
Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes |
| title_full |
Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes |
| title_fullStr |
Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes |
| title_full_unstemmed |
Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes |
| title_sort |
Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in Kubernetes |
| dc.creator.fl_str_mv |
Neira Campos, Juan Camilo |
| dc.contributor.advisor.none.fl_str_mv |
Correal Torres, Dario Ernesto |
| dc.contributor.author.none.fl_str_mv |
Neira Campos, Juan Camilo |
| dc.subject.keyword.eng.fl_str_mv |
Kubernetes Event-driven Autoscaling (KEDA) Horizontal Pod Autoscaling (HPA) Kubernetes Amazon SQS Scalability Event-Driven Architecture |
| topic |
Kubernetes Event-driven Autoscaling (KEDA) Horizontal Pod Autoscaling (HPA) Kubernetes Amazon SQS Scalability Event-Driven Architecture Ingeniería |
| dc.subject.themes.none.fl_str_mv |
Ingeniería |
| description |
This thesis investigates the scalability of a system in Kubernetes, comparing two scaling methods: Horizontal Pod Autoscaling (HPA) and Kubernetes Event-Driven Autoscaling (KEDA). The study uses a Proof of Concept (POC) for a company that wishes to remain anonymous. The research tests the system's ability to scale based on CPU/memory utilization with HPA and event-driven triggers using KEDA, particularly focusing on the system's response to different levels of HTTP requests and event-driven workloads. The tests are conducted in a Minikube environment using Amazon SQS as the message broker, providing insights into the performance and efficiency of these two scaling methods in a real-world scenario. |
| publishDate |
2024 |
| dc.date.accessioned.none.fl_str_mv |
2024-12-10T20:52:18Z |
| dc.date.available.none.fl_str_mv |
2024-12-10T20:52:18Z |
| dc.date.issued.none.fl_str_mv |
2024-11-24 |
| dc.type.none.fl_str_mv |
Trabajo de grado - Pregrado |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
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info:eu-repo/semantics/acceptedVersion |
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http://purl.org/coar/resource_type/c_7a1f |
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Text |
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http://purl.org/redcol/resource_type/TP |
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http://purl.org/coar/resource_type/c_7a1f |
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acceptedVersion |
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https://hdl.handle.net/1992/75258 |
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instname:Universidad de los Andes |
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reponame:Repositorio Institucional Séneca |
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repourl:https://repositorio.uniandes.edu.co/ |
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https://hdl.handle.net/1992/75258 |
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instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.references.none.fl_str_mv |
Amazon. (2023). What is Amazon SQS? Retrieved from https://shorturl.at/ocJVY Stack, M. (2022). Event-Driven Architecture in Golang. Packt Publishing. Kubernetes. (2023a). Overview. Retrieved from https://shorturl.at/QSZdF Kubernetes. (2023b). Horizontal Pod Autoscaling. Retrieved from https://shorturl.at/rMWKT |
| dc.rights.en.fl_str_mv |
Attribution 4.0 International |
| dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.none.fl_str_mv |
42 páginas |
| dc.format.mimetype.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad de los Andes |
| dc.publisher.program.none.fl_str_mv |
Ingeniería de Sistemas y Computación |
| dc.publisher.faculty.none.fl_str_mv |
Facultad de Ingeniería |
| dc.publisher.department.none.fl_str_mv |
Departamento de Ingeniería de Sistemas y Computación |
| publisher.none.fl_str_mv |
Universidad de los Andes |
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Universidad de los Andes |
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Correal Torres, Dario Ernestovirtual::21816-1Neira Campos, Juan Camilo2024-12-10T20:52:18Z2024-12-10T20:52:18Z2024-11-24https://hdl.handle.net/1992/75258instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This thesis investigates the scalability of a system in Kubernetes, comparing two scaling methods: Horizontal Pod Autoscaling (HPA) and Kubernetes Event-Driven Autoscaling (KEDA). The study uses a Proof of Concept (POC) for a company that wishes to remain anonymous. The research tests the system's ability to scale based on CPU/memory utilization with HPA and event-driven triggers using KEDA, particularly focusing on the system's response to different levels of HTTP requests and event-driven workloads. The tests are conducted in a Minikube environment using Amazon SQS as the message broker, providing insights into the performance and efficiency of these two scaling methods in a real-world scenario.Pregrado42 páginasapplication/pdfengUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y ComputaciónAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Evaluating the transition from HPA to KEDA in an Event-Driven Architecture Deployed in KubernetesTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPKubernetes Event-driven Autoscaling (KEDA)Horizontal Pod Autoscaling (HPA)KubernetesAmazon SQSScalabilityEvent-Driven ArchitectureIngenieríaAmazon. (2023). What is Amazon SQS? 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