Essays about: "Service orchestration"

Showing result 1 - 5 of 32 essays containing the words Service orchestration.

1. 1. Defining an Evaluation Model for Container Orchestration Operator Frameworks

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : André Arnesson; Samuel Alberius; [2023]
   Keywords : container orchestration; cloud native application; operator; software framework; evaluation model; Technology and Engineering;

   Abstract : The growing complexity of cloud native applications has necessitated the intro- duction of operators to the container orchestration tools’ suite of components. Operators affords developers the ability to encode domain knowledge and make fine-grained controllers for their Kubernetes clusters, radically extending the range of feasible applications to host. READ MORE

3. 2. Abandoning Monolithic Architecture: Leaving an old paradigm for the possibilities of containerized microservices using an automated orchestration tool

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Sabina Cardell; Oscar Widén; [2023]
   Keywords : Digital Transformation; Change Management Microservices architecture; Monolithic Architecture; Three layer architecture; Containerization; Modernization Refactoring;

   Abstract : Många stora organisationer som myndigheter och banker arbetar med en monolitisk applikationsarkitektur som är ett gammalt sätt att strukturera applikationer. Flera faktorer som att attrahera och behålla talang, vara skalbar och flexibel, samt en bra tjänsteleverans driver dessa organisationer att byta till en mikrotjänstorienterad arkitektur. READ MORE

4. 3. Optimizing Resource Allocation in Kubernetes : A Hybrid Auto-Scaling Approach

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Brando Chiminelli; [2023]
   Keywords : Cloud computing; Microservices; Kubernetes; Container Orchestration; Auto-Scaling; Horizontal Pod Autoscaler HPA ; WorkloadPrediction; Time-Series Forecasting; Molntjänster; Mikrotjänster; Kubernetes; Containerorkestrering; Automatisk Skalning; Horizontal Pod Autoscaler HPA ; Förutsägelse avArbetsbelastning; Prognoser för Tidsserier;

   Abstract : This thesis focuses on addressing the challenges of resource management in cloud environments, specifically in the context of running resource-optimized applications on Kubernetes. The scale and growth of cloud services, coupled with the dynamic nature of workloads, make it difficult to efficiently manage resources and control costs. READ MORE

5. 4. Migrating a monolithic application to behaviour-driven function-based application : A study on architectural patterns and migration strategy forbuilding function-based applicationEn studie om arkitekturmönster och migreringsstrategi för attskapa funktionsbaserad applikation

   University essay from KTH/Hälsoinformatik och logistik

   Author : Nils Falck; Arif Jehda-Oh; [2023]
   Keywords : Behaviour-driven Development; Function-as-a-Service; Kubernetes; Migration Strategy; Monolith; OpenFaaS; Stranger Fig Pattern;

   Abstract : With the increased use of the internet and applications, the architecture has had to adapt to the increasing number of users. Many companies have started migrating from monolithic architecture to microservice and, more recently, started to explore the possibility of migrating applications to Function-as-a-Service. READ MORE

6. 5. Intelligent autoscaling in Kubernetes : the impact of container performance indicators in model-free DRL methods

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tommaso Praturlon; [2023]
   Keywords : Cloud computing; container autoscaling; resource optimisation; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh; Cloud computing; container autoscaling; Optimering av resurser; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh;

   Abstract : A key challenge in the field of cloud computing is to automatically scale software containers in a way that accurately matches the demand for the services they run. To manage such components, container orchestrator tools such as Kubernetes are employed, and in the past few years, researchers have attempted to optimise its autoscaling mechanism with different approaches. READ MORE