Managing communication between microservices heavily depends on scalability and automation in modern cloud-native systems. Using Mustache gives large-scale applications a dependable way to add personalized sections to their email templates. This report explores how Mustache is used in cloud environments, mainly focusing on how it works with microservices, automation through AI, and DevOps procedures. Separating the organization’s logic from its look allows developers and product teams to function together with fewer errors, promoting efficient updates and dependability. This part of the paper discusses email template management strategies, including version control, template management, and context provided by different microservices. It also proves that pairing Mustache with technologies like Kubernetes, event-driven designs, and CI/CD methods plays a key role in designing systems that scale easily and adapt to change. Also, applications of advanced AI, which personalize content and deliver updates during events, highlight how Mustache can help improve customer interaction and company updates. With this strategy, businesses can deal with the problems of building scalable and adaptable systems for messaging and, at the same time, ensure all communications are secure and flexible on different platforms. In the conclusion, the paper discusses future options involving using serverless systems and testing with machine learning, making Mustache-based frameworks faster and more flexible.

Mustache templating, Cloud-native architecture, Microservices, AI-driven automation, Email templates, Scalable communication, DevOps, CI/CD pipelines

Al Kiswani, J. H. A. (2019). Smart-Cloud: A Framework for Cloud Native Applications Development (Doctoral dissertation, University of Nevada, Reno). https://www.proquest.com/openview/bd6b7f4e1da585bb9fb255bb4782f9c9/1?pq-origsite=gscholar&cbl=18750&diss=y#

Al-Rawas, A., & Easterbrook, S. (1996, January). Communication problems in requirements engineering: a field study. In Proceedings of the first Westminster Conference on Professional Awareness in Software engineering (No. NAS 1.26: 203071). https://ntrs.nasa.gov/api/citations/19970005658/downloads/19970005658.pdf

Arundel, J., & Domingus, J. (2019). Cloud Native DevOps with Kubernetes: building, deploying, and scaling modern applications in the Cloud. O'Reilly Media. https://books.google.co.ke/books?id=WEyMDwAAQBAJ&dq=Arundel,+J.,+%26+Domingus,+J.+(2019).+Cloud+Native+DevOps+with+Kubernetes:+building,+deploying,+and+scaling+modern+applications+in+the+Cloud.+O%27Reilly+Media.&lr=&source=gbs_navlinks_s

Ayoade, G., Karande, V., Khan, L., & Hamlen, K. (2018, July). Decentralized IoT data management using blockchain and trusted execution environment. In 2018 IEEE international conference on information reuse and integration (IRI) (pp. 15-22). IEEE. https://doi.org/10.1109/IRI.2018.00011

Azraq, A., Dymaczewski, W., Ewald, F., Floris, L., Gupta, R., Gucer, V., ... & Wen, Z. M. (2019). IBM Cloud Private Application Developer's Guide. IBM Redbooks. https://books.google.co.ke/books?id=cw2WDwAAQBAJ&dq=Using+Mustache+templates+in+cloud-native+software+engineering+helps+improve+messaging+strategies+on+microservices+platforms&lr=&source=gbs_navlinks_s

Beltre, A. M., Saha, P., Govindaraju, M., Younge, A., & Grant, R. E. (2019, November). Enabling HPC workloads on cloud infrastructure using Kubernetes container orchestration mechanisms. In 2019 IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC) (pp. 11-20). IEEE. https://doi.org/10.1109/CANOPIE-HPC49598.2019.00007

Börner, K. (2006). Handling of Change Requests in a Template-Based Software Solution (Doctoral dissertation, Hochschule für Angewandte Wissenschaften Hof). https://www.researchgate.net/publication/41822929_Managing_Software_Change_Request_Process_Temporal_Data_Approach

Bose-Kolanu, A. (2016). Aviary: Distributed, Tamper-Proof, Per-User Warrant Canaries. https://hal.science/hal-01408456/

Bruce, M., & Cooper, R. (2001). Creative product design: A practical guide to requirements capture management. John Wiley & Sons.

Cady, J. (2011). Functional Programming Applied to Web Development Templates. https://www.cs.rit.edu/~rlaz/seminarSpring2013/20103_cady_msproject.pdf

Chavan, A. (2023). Managing scalability and cost in microservices architecture: Balancing infinite scalability with financial constraints. Journal of Artificial Intelligence & Cloud Computing, 2, E264. http://doi.org/10.47363/JAICC/2023(2)E264

Chintale, P. (2023). DevOps Design Pattern: Implementing DevOps best practices for secure and reliable CI/CD pipeline (English Edition). Bpb Publications.

Church, K., & Oliver, N. (2011, August). Understanding mobile web and mobile search use in today's dynamic mobile landscape. In Proceedings of the 13th international conference on human computer interaction with mobile devices and services (pp. 67-76). https://dl.acm.org/doi/abs/10.1145/2037373.2037385

Cristian, F. (1991). Understanding fault-tolerant distributed systems. Communications of the ACM, 34(2), 56-78.

Dhanagari, M. R. (2024). MongoDB and data consistency: Bridging the gap between performance and reliability. Journal of Computer Science and Technology Studies, 6(2), 183–198. https://doi.org/10.32996/jcsts.2024.6.2.21

Dhanagari, M. R. (2024). Scaling with MongoDB: Solutions for handling big data in real-time. Journal of Computer Science and Technology Studies, 6(5), 246–264. https://doi.org/10.32996/jcsts.2024.6.5.20

Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: The science of lean software and devops: Building and scaling high performing technology organizations. IT Revolution.

García-Valls, M., Dubey, A., & Botti, V. (2018). Introducing the new paradigm of social dispersed computing: Applications, technologies and challenges. Journal of Systems Architecture, 91, 83-102. https://doi.org/10.1016/j.sysarc.2018.05.007

Kazantsev, K. (2018). Development of a Web Application for Management of Public Events.

Konneru, N. M. K. (2021). Integrating security into CI/CD pipelines: A DevSecOps approach with SAST, DAST, and SCA tools. International Journal of Science and Research Archive. https://ijsra.net/content/role-notification-scheduling-improving-patient

Kumar, A. (2019). The convergence of predictive analytics in driving business intelligence and enhancing DevOps efficiency. International Journal of Computational Engineering and Management, 6(6), 118–142. https://ijcem.in/wp-content/uploads/THE-CONVERGENCE-OF-PREDICTIVE-ANALYTICS-IN-DRIVING-BUSINESS-INTELLIGENCE-AND-ENHANCING-DEVOPS-EFFICIENCY.pdf

Kumar, A., & Chidrewar, S. (2020). Procurring Cloud Computing Solutions in AWS Expending Artificial Intelligence and Analytical Tools. http://www.ir.juit.ac.in:8080/jspui/bitstream/123456789/7114/1/Procurring%20Cloud%20Computing%20Solutions%20in%20AWS%20Expending%20Artificial%20Intelligence%20and%20Analytical%20Tools.pdf

Lyons, P. (2009). Team training for creating performance templates. Team Performance Management: An International Journal, 15(5/6), 257-275. https://www.emerald.com/insight/content/doi/10.1108/13527590910983521/full/html

Menouer, T. (2021). KCSS: Kubernetes container scheduling strategy. The Journal of Supercomputing, 77(5), 4267-4293. https://link.springer.com/article/10.1007/s11227-020-03427-3

Pham, A. (2018). Building Continuous Delivery Pipeline for Microservices. https://www.theseus.fi/handle/10024/145611

Rysbekov, A. (2022). Continuous compliance: Devops approach to compliance and change management (Master's thesis). https://www.duo.uio.no/bitstream/handle/10852/100309/8/Thesis_Rysbekov.pdf

Sardana, J. (2022). Scalable systems for healthcare communication: A design perspective. International Journal of Science and Research Archive. https://doi.org/10.30574/ijsra.2022.7.2.0253

Sardana, J. (2022). The role of notification scheduling in improving patient outcomes. International Journal of Science and Research Archive. https://ijsra.net/content/role-notification-scheduling-improving-patient

Schneider, J. (2020). SRE with Java Microservices. O'Reilly Media.

Shmeleva, E. (2020). How microservices are changing the security landscape.

Singh, V. (2023). Enhancing object detection with self-supervised learning. International Journal of Advanced Engineering and Technology. https://romanpub.com/resources/Vol%205%20%2C%20No%201%20-%2023.pdf

Süß, R., & Süß, Y. (2024). The Architecture of IT Cloud Services. In IT Infrastructure: Security and Resilience Solutions (pp. 1-14). Berkeley, CA: Apress. https://link.springer.com/chapter/10.1007/979-8-8688-0077-1_1

Verba, N., Chao, K. M., James, A., Goldsmith, D., Fei, X., & Stan, S. D. (2017). Platform as a service gateway for the Fog of Things. Advanced Engineering Informatics, 33, 243-257. https://doi.org/10.1016/j.aei.2016.11.003