Cloud-native Deploy-ability: An Analysis of Required Features of Deployment Technologies to Deploy Arbitrary Cloud-native Applications

Wurster, Michael; Breitenbücher, Uwe; Brogi, Antonio; Leymann, Frank; Soldani, Jacopo

doi:10.5220/0009571001710180

Cited by 9 publications

(10 citation statements)

References 9 publications

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“…Automatically coordinating the management of multi-component applications is crucial nowadays [16,24]. It requires to suitably coordinate the concurrent deployment, coniguration, enactment, and termination of possibly multiple instances of the components forming an application, while at the same time taking into account all inter-component dependencies, as well as that diferent replicas of the same component may reside in diferent states and get afected by diferent faults.…”

Section: Discussionmentioning

confidence: 99%

“…The eicient exploitation of cloud computing peculiarities indeed highly depends on the degree of management automation of deployed applications [18]. At the same time, since modern enterprise applications typically integrate multiple heterogeneous components [24], automating their management requires suitably coordinating the concurrent deployment, coniguration, enactment, and termination of the (possibly multiple) instances of their components. Even if this may be done by diferent independent teams (e.g., DevOps squads), it must be done by considering all dependencies occurring among all the instances of the components forming an application.…”

Section: Introductionmentioning

confidence: 99%

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Modelling and Analysing Replica- and Fault-aware Management of Horizontally Scalable Applications

Soldani

Cameriero

Paparelli

et al. 2022

ACM Trans. Internet Technol.

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Modern enterprise applications integrate multiple interdependent software components, whose management must be suitably coordinated. This must be done by taking into account all inter-component dependencies, the faults potentially affecting them, and the fact that each component can be horizontally scaled, i.e., that multiple instances of each component can be spawned or destroyed depending on application needs. In this paper, we introduce a novel solution for suitably modelling and analysing the replica- and fault-aware management of multi-component applications, based on topology graphs and management protocols. More precisely, we first introduce a compositional model of the management behaviour of the (possibly multiple) instances of the components forming an application, faults included. We then show how this model enables automating various useful analyses, from checking the validity of management plans, to automatically determining management plans allowing the instance of an application to reach and maintain a desired target configuration.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling and Analysing Replica- and Fault-aware Management of Horizontally Scalable Applications

Soldani

Cameriero

Paparelli

et al. 2022

ACM Trans. Internet Technol.

Self Cite

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“…When needed, CNAs utilize feasible serverless computing for batch processing or fire-and-forget tasks. As for deployment, CNAs use modern Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate the testing and deployment phases of software delivery [16]. While automating the delivery of the CNAs, some practitioners have taken a step further and expanded the automated delivery to the infrastructure.…”

Section: Development and Deploymentmentioning

confidence: 99%

A Reference Architecture for Observability and Compliance of Cloud Native Applications

Pourmajidi¹,

Zhang²,

Steinbacher³

et al. 2023

Preprint

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The evolution of Cloud computing led to a novel breed of applications known as Cloud-Native Applications (CNAs). However, observing and monitoring these applications can be challenging, especially if a CNA is bound by compliance requirements.To address this challenge, we explore the characteristics of CNAs and how they affect CNAs' observability and compliance. We then construct a reference architecture for observability and compliance pipelines for CNAs. Furthermore, we sketch instances of this reference architecture for single-and multi-cloud deployments.The proposed architecture embeds observability and compliance into the CNA architecture and adopts a "battery-included" mindset. This architecture can be applied to small and large CNA deployments in regulated and non-regulated industries. It allows Cloud practitioners to focus on what is critical, namely building their products, without being burdened by observability and compliance requirements. This work may also interest academics as it provides a building block for generic CNA architectures.

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“…C LOUD-NATIVE technologies [1] empower organizations to build and run applications in modern, scalable and dynamic distributed Information Technology (IT) infrastructures. This approach exemplifies containers, microservices, and immutable infrastructures.…”

Section: Introductionmentioning

confidence: 99%

“…Combined with automation, these techniques also enable developers to make changes more frequently and predictably with minimal effort. The Cloud Native Computing Foundation (CNCF) [1] is ambitious to accelerate the adoption of this paradigm by maintaining an ecosystem of open-source, vendor-neutral projects.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Observability of Distributed Edge & Container-Based Microservices

2022

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Edge computing is proposed as a technical enabler for meeting emerging network technologies (such as 5G and Industrial Internet of Things), stringent application requirements and key performance indicators (KPIs). It aims to alleviate the problems associated with centralized cloud computing systems by placing computational resources to the network's edge, closer to the users. However, the complexity of distributed edge infrastructures grows when hosting containerized workloads as microservices, resulting in hard to detect and troubleshoot outages on critical use cases such as industrial automation processes. Observability aims to support operators in managing and operating complex distributed infrastructures and microservices architectures by instrumenting end-to-end runtime performance. To the best of our knowledge, no survey article has been recently proposed for distributed edge and containerized microservices observability. Thus, this article surveys and classifies state-of-the-art solutions from various communities. Besides surveying state-of-the-art, this article also discusses the observability concept, requirements, and design considerations. Finally, we discuss open research issues as well as future research directions that will inspire additional research in this area.

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Cloud-native Deploy-ability: An Analysis of Required Features of Deployment Technologies to Deploy Arbitrary Cloud-native Applications

Cited by 9 publications

References 9 publications

Modelling and Analysing Replica- and Fault-aware Management of Horizontally Scalable Applications

Modelling and Analysing Replica- and Fault-aware Management of Horizontally Scalable Applications

A Reference Architecture for Observability and Compliance of Cloud Native Applications

A Survey on Observability of Distributed Edge & Container-Based Microservices

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