Adkins, H., Beyer, B., Blankinship, P., Lewandowski, P., Oprea, A., Stubblefield, A.: Building Secure and Reliable Systems. O’Reilly, Sebastopol (2020)
Google Scholar
Alonso, J., Stefanidis, K., et al.: Decide: an extended DevOps framework for multi-cloud applications. In: 3rd ICCBDC, pp. 43–48 (2019)
Google Scholar
Apel, S., Hertrampf, F., Späthe, S.: Towards a metrics-based software quality rating for a microservice architecture. In: Lüke, K.-H., Eichler, G., Erfurth, C., Fahrnberger, G. (eds.) I4CS 2019. CCIS, vol. 1041, pp. 205–220. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22482-0_15
CrossRef
Google Scholar
Arundel, J., Domingus, J.: Cloud Native DevOps with Kubernetes. O’Reilly, Sebastopol (2019)
Google Scholar
Bastani, K., Long, J.: Cloud Native Java. O’Reilly, Sebastopol (2017)
Google Scholar
Bogner, J., Wagner, S., Zimmermann, A.: Automatically measuring the maintainability of service-and microservice-based systems: a literature review. In: 27th IWSM, pp. 107–115. ACM (2017)
Google Scholar
Cardarelli, M., Iovino, L., Francesco, P.D., Salle, A.D., Malavolta, I., Lago, P.: An extensible data-driven approach for evaluating the quality of microservice architectures. In: 34th ACM/SIGAPP Symposium on Applied Computing, ACM Press (2019)
Google Scholar
CNCF: CNCF Cloud Native Definition v1.0. (2018). https://github.com/cncf/toc/blob/master/DEFINITION.md
CNCF: CNCF Survey 2020 (2020). https://www.cncf.io/wp-content/uploads/2020/12/CNCF_Survey_Report_2020.pdf
Davis, C.: Cloud Native Patterns. Manning, Shelter Island (2019)
Google Scholar
Engel, T., Langermeier, M., Bauer, B., Hofmann, A.: Evaluation of microservice architectures: a metric and tool-based approach. In: Mendling, J., Mouratidis, H. (eds.) CAiSE 2018. LNBIP, vol. 317, pp. 74–89. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92901-9_8
CrossRef
Google Scholar
Fehling, C., Leymann, F., Retter, R., Schupeck, W., Arbitter, P.: Cloud Computing Patterns. Springer, Vienna (2014). https://doi.org/10.1007/978-3-7091-1568-8
CrossRef
Google Scholar
Gannon, D., Barga, R., Sundaresan, N.: Cloud-native applications. IEEE Cloud Comput. 4(5), 16–21 (2017)
CrossRef
Google Scholar
Garrison, J., Nova, K.: Cloud Native Infrastructure. O’Reilly, Sebastopol (2017)
Google Scholar
Goniwada, S.R.: Cloud Native Architecture and Design Patterns. In: Cloud Native Architecture and Design, pp. 127–187. Apress, Berkeley (2022). https://doi.org/10.1007/978-1-4842-7226-8_4
CrossRef
Google Scholar
Guerron, X., Abrahao, S., Insfran, E., Fernandez-Diego, M., Gonzalez-Ladron-De-Guevara, F.: A taxonomy of quality metrics for cloud services. IEEE Access 8, 131461–131498 (2020)
Google Scholar
Hirzalla, M., Cleland-Huang, J., Arsanjani, A.: A metrics suite for evaluating flexibility and complexity in service oriented architectures. In: Feuerlicht, G., Lamersdorf, W. (eds.) ICSOC 2008. LNCS, vol. 5472, pp. 41–52. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01247-1_5
Ibryam, B., Huß, R.: Kubernetes Patterns. O’Reilly, Sebastopol (2020)
Google Scholar
Indrasiri, K., Suhothayan, S.: Design Patterns for Cloud Native Applications. O’Reilly, Sebastopol (2021)
Google Scholar
ISO/IEC: ISO/IEC 25000 Systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) (2014). https://www.iso.org/standard/64764.html
Kratzke, N., Quint, P.C.: Understanding cloud-native applications after 10 years of cloud computing - a systematic mapping study. JSS 126, 1–16 (2017)
Google Scholar
Lehmann, M., Sandnes, F.E.: A framework for evaluating continuous microservice delivery strategies. In: 2nd ICC, ACM (2017)
Google Scholar
Li, S., et al.: Understanding and addressing quality attributes of microservices architecture: a systematic literature review. Inf. Softw. Technol. 131, 106449 (2021)
Google Scholar
Ntentos, E., Zdun, U., Plakidas, K., Meixner, S., Geiger, S.: Metrics for assessing architecture conformance to microservice architecture patterns and practices. In: Kafeza, E., Benatallah, B., Martinelli, F., Hacid, H., Bouguettaya, A., Motahari, H. (eds.) ICSOC 2020. LNCS, vol. 12571, pp. 580–596. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-65310-1_42
Ovaska, E., Evesti, A., Henttonen, K., Palviainen, M., Aho, P.: Knowledge based quality-driven architecture design and evaluation. IST 52(6), 577–601 (2010)
Google Scholar
Pahl, C., Jamshidi, P., Zimmermann, O.: Architectural principles for cloud software. ACM Trans. Internet Technol. 18(2), 1–23 (2018)
Google Scholar
RedHat: Understanding cloud-native applications (2018). https://www.redhat.com/en/topics/cloud-native-apps
Reznik, P., Dobson, J., Gienow, M.: Cloud Native Transformation. O’Reilly, Sebastopol (2019)
Google Scholar
Richardson, C.: Microservices Patterns. 1 edn. Manning, Shelter Island (2019)
Google Scholar
Ruecker, B.: Practical Process Automation. O’Reilly, Sebastopol (2021)
Google Scholar
Scholl, B., Swanson, T., Jausovec, P.: Cloud Native. O’Reilly, Sebastopol (2019)
Google Scholar
Toffetti, G., Brunner, S., Blöchlinger, M., Spillner, J., Bohnert, T.M.: Self-managing cloud-native applications: design, implementation, and experience. Future Gener. Comput. Syst. 72, 165–179 (2017)
Google Scholar
VMwareTanzu(Pivotal): Cloud-Native Applications: Ship Faster, Reduce Risk, Grow Your Business (2020). https://tanzu.vmware.com/de/cloud-native
Wagner, S., et al.: Operationalised product quality models and assessment: the Quamoco approach. IST 62, 101–123 (2015)
Google Scholar
Wagner, S., et al.: The quamoco quality meta-model. techreport TUM-I128, Technische Universität München, Institut für Informatik (2012)
Google Scholar
Wurster, M., Breitenbücher, U., Brogi, A., Leymann, F., Soldani, J.: Cloud-native Deploy-ability: an analysis of required features of deployment technologies to deploy arbitrary cloud-native applications. In: 10th CLOSER. Scitepress (2020)
Google Scholar
Zdun, U., Navarro, E., Leymann, F.: Ensuring and assessing architecture conformance to microservice decomposition patterns. In: Maximilien, M., Vallecillo, A., Wang, J., Oriol, M. (eds.) ICSOC 2017. LNCS, vol. 10601, pp. 411–429. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69035-3_29
Zimmermann, O.: Metrics for architectural synthesis and evaluation - requirements and compilation by viewpoint. an industrial experience report. In: IEEE/ACM 2nd International Workshop on Software Architecture and Metrics, IEEE (2015)
Google Scholar