Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/30475
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dc.contributor.authorMileski, Dimitaren_US
dc.contributor.authorGushev, Marjanen_US
dc.date.accessioned2024-06-07T08:57:33Z-
dc.date.available2024-06-07T08:57:33Z-
dc.date.issued2023-11-21-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/30475-
dc.description.abstractFinOps is a novel discipline in cloud computing and technology management that aims to optimize an organization’s cloud spending, enhance financial resource management, and promote collaboration between technology and finance teams for efficient cloud resource utilization and cost control. The adoption of cloud-native and serverless architectures has revolutionized the way organizations design and deploy their near-real-time streaming solutions. These solutions are vital for various applications, including data analytics, monitoring, and content delivery. However, understanding the cost implications of scaling these solutions to accommodate varying numbers of concurrent users remains a challenge. This paper presents a cost analysis for a cloud-native near real-time serverless streaming solution, considering both streaming and idle times of the system. The cost of cloud services is heavily influenced by efficient processing management and the selection of suitable services. This decision can result in substantial cost differences across various cloud providers, varying from expensive to cost-efficient options. This paper explores the critical factors impacting costs, highlighting differences in cost levels based on several factors.en_US
dc.publisherIEEEen_US
dc.subjectfinops , pricing model , near real-time , cloud-native , serverless , streaming , public cloud , cloud computingen_US
dc.titleFinOps in Cloud-Native Near Real-Time Serverless Streaming Solutionsen_US
dc.typeProceedingsen_US
dc.relation.conference2023 31st Telecommunications Forum (TELFOR)en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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