Desenvolvimento de Aplicações Nativas da Nuvem com Arquitetura Baseada em Microservices

Sistemas de Informação, Centro de Informática, (UFPE)

Instrutores

Professor Vinicius Cardoso Garcia ([email protected])
Professor Colaborador Vanilson Burégio ([email protected])

Disciplinas

Pós-Graduação: IN1062 - Tópicos Avançados em Sistemas Distribuídos 3
Graduação: IF1007 - Tópicos Avançados em Sistemas de Informação 4

Local

Centro de Informática, horários: segunda (17:00-18:40) e quarta (18:50-20:30), sala E-112, Bloco E.
Aulas práticas, quando ocorrerem, serão no Lab G2 (preferencialmente).

Comunicação

Temos um canal no Slack para uma comunicação mais dinâmica: IF1007 & IN1062 (para entrar, tem que utilizar o e-mail institucional do CIn).

Edições passadas

Ementa

Microservice é um estilo e padrão de arquitetura de software em que sistemas complexos são decompostos em serviços menores que trabalham em conjunto para formar serviços maiores. Os Microservices são serviços autônomos, independentes e independentemente implantáveis. No mundo de hoje, muitas empresas usam microservices como principal padrão para a construção de aplicativos corporativos grandes e orientados a serviços.

O framework Spring é um framework de programação popular com a comunidade de desenvolvedores por muitos anos. O Spring Boot removeu a necessidade de ter um conteiner leve de aplicação e forneceu um meio para implantar aplicativos leves e sem servidor. O Spring Cloud combina muitos componentes e junto com o OSS Netflix e fornece um ecossistema para executar e gerenciar microservices em grande escala. Ele fornece recursos como balanceamento de carga, registro de serviço, monitoramento, gateway de serviço e assim por diante.

No entanto, os microservices vêm com seus próprios desafios, como monitoramento, gerenciamento, distribuição, dimensionamento, descoberta, etc., especialmente quando se implanta em escala. A adoção de microservices sem abordar os desafios dos microservices comuns levaria a resultados catastróficos. A parte mais importante deste curso é discutir um modelo de capacidade de microservice agnóstico em termos de tecnologia que busca ajudar a resolver os desafios mais comuns do mundo de microservice.

Bibliografia Sugerida

Não há livro texto obrigatório. Entretanto, a seguir estão alguns livros que podem ser recomendados:

Building Microservices: Designing Fine-Grained Systems
LEWIS, J.; FOWLER, M. Microservices: a definition of this new architectural term. MartinFowler. com, v. 25, Mar 2014.
X. Larrucea, I. Santamaria, R. Colomo-Palacios and C. Ebert, "Microservices," in IEEE Software, vol. 35, no. 3, pp. 96-100, May/June 2018. doi: 10.1109/MS.2018.2141030
P. Jamshidi, C. Pahl, N. C. Mendonça, J. Lewis and S. Tilkov, "Microservices: The Journey So Far and Challenges Ahead," in IEEE Software, vol. 35, no. 3, pp. 24-35, May/June 2018. doi: 10.1109/MS.2018.2141039
The Architecture of Open Source Applications

Research Trends

2020
- Michael Desmond. Mapping the Journey from ITOps to AIOps. Blog, Gigaom, Dec 7, 2020.
- Leite, L., Rocha, C., Kon, F., Milojicic, D., & Meirelles, P. (2020). A Survey of DevOps Concepts and Challenges. ACM Computing Surveys, 52(6), 1–35.
- Debroy, V., & Miller, S. (2020). Overcoming Challenges With Continuous Integration and Deployment Pipelines: An Experience Report From a Small Company. IEEE Software, 37(3), 21–29.
- Mellegard, N., Burden, H., Levin, D., Lind, K., & Magazinius, A. (2020). Contrasting Big Bang With Continuous Integration Through Defect Reports. IEEE Software, 37(3), 14–20.
2019
- Soares de Toledo, S., Martini, A., Przybyszewska, A., & Sjoberg, D. I. K. (2019). Architectural Technical Debt in Microservices: A Case Study in a Large Company. 2019 IEEE/ACM International Conference on Technical Debt (TechDebt), 78–87.
- Shanbhag, N., & Pardede, E. (2019). A Metrics Framework for Product Development in Software Startups. Journal of Enterprising Culture, 27(03), 283–307.
- Kazanavicius, J., & Mazeika, D. (2019). Migrating Legacy Software to Microservices Architecture. 2019 Open Conference of Electrical, Electronic and Information Sciences (EStream), 1–5.
- Luis M. Vaquero, Felix Cuadrado, Yehia Elkhatib, Jorge Bernal-Bernabe, Satish N. Srirama, Mohamed Faten Zhani, Research challenges in nextgen service orchestration, Future Generation Computer Systems, Volume 90, 2019, Pages 20-38, ISSN 0167-739X, DOI: 10.1016/j.future.2018.07.039.
- Philipp Leitner, Erik Wittern, Josef Spillner, Waldemar Hummer, A mixed-method empirical study of Function-as-a-Service software development in industrial practice, Journal of Systems and Software, Volume 149, 2019, Pages 340-359, ISSN 0164-1212, DOI: 10.1016/j.jss.2018.12.013.
- Paolo Di Francesco, Patricia Lago, Ivano Malavolta, Architecting with microservices: A systematic mapping study, Journal of Systems and Software, Volume 150, 2019, Pages 77-97, ISSN 0164-1212, DOI: 10.1016/j.jss.2019.01.001.
- O’Reilly Publishes “The State of Microservices Maturity” Report, by Reda Hmeid, Feb 3, 2019
- Architecture and Design InfoQ Trends Report - January 2019, by Daniel Bryant & Thomas Betts & Charles Humble, Jan 24, 2019.
2018
- Steffens, A., Lichter, H., & Döring, J. S. (2018). Designing a next-generation continuous software delivery system. Proceedings of the 4th International Workshop on Rapid Continuous Software Engineering - RCoSE'18, 1–7.
- Carrasco, A., Bladel, B. van, & Demeyer, S. (2018). Migrating towards microservices: migration and architecture smells. In Proceedings of the 2nd International Workshop on Refactoring - IWoR 2018 (pp. 1–6). New York, New York, USA: ACM Press.
- Ren, Z., Wang, W., Wu, G., Gao, C., Chen, W., Wei, J., & Huang, T. (2018). Migrating Web Applications from Monolithic Structure to Microservices Architecture. In Proceedings of the Tenth Asia-Pacific Symposium on Internetware - Internetware ’18 (pp. 1–10). New York, New York, USA: ACM Press.
- Taibi, D., Lenarduzzi, V., & Pahl, C. (2018). Architectural Patterns for Microservices: A Systematic Mapping Study. In Proceedings of the 8th International Conference on Cloud Computing and Services Science (pp. 221–232). SCITEPRESS - Science and Technology Publications.
- Zhou, X., Peng, X., Xie, T., Sun, J., Xu, C., Ji, C., & Zhao, W. (2018). Benchmarking microservice systems for software engineering research. In Proceedings of the 40th International Conference on Software Engineering Companion Proceeedings - ICSE ’18 (pp. 323–324). New York, New York, USA: ACM Press.
- Forsgren, N., & Kersten, M. (2018). DevOps metrics. Communications of the ACM, 61(4), 44–48.
- Balalaie, A, Heydarnoori, A, Jamshidi, P, Tamburri, DA, Lynn, T. Microservices migration patterns. Softw Pract Exper. 2018; 48: 2019--2042.
- Mazzara M., Khanda K., Mustafin R., Rivera V., Safina L., Sillitti A. (2018) Microservices Science and Engineering. In: Ciancarini P., Litvinov S., Messina A., Sillitti A., Succi G. (eds) Proceedings of 5th International Conference in Software Engineering for Defence Applications. SEDA 2016. Advances in Intelligent Systems and Computing, vol 717. Springer, Cham
- Guerrero, C., Lera, I., & Juiz, C. (2018). Resource optimization of container orchestration: a case study in multi-cloud microservices-based applications. The Journal of Supercomputing, 74(7), 2956–2983, 2018.
- L. Chen, "Microservices: Architecting for Continuous Delivery and DevOps," 2018 IEEE International Conference on Software Architecture (ICSA), Seattle, WA, 2018, pp. 39-397. doi: 10.1109/ICSA.2018.00013
- D. Guaman, L. Yaguachi, C. C. Samanta, J. H. Danilo and F. Soto, "Performance evaluation in the migration process from a monolithic application to microservices," 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Caceres, 2018, pp. 1-8. doi: 10.23919/CISTI.2018.8399148
- Felipe Osses, Gastón Márquez, and Hernán Astudillo. 2018. Exploration of academic and industrial evidence about architectural tactics and patterns in microservices. In Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings (ICSE '18). ACM, New York, NY, USA, 256-257. DOI: 10.1145/3183440.3194958
- Xili Wan, Xinjie Guan, Tianjing Wang, Guangwei Bai, Baek-Yong Choi, Application deployment using Microservice and Docker containers: Framework and optimization, Journal of Network and Computer Applications, Volume 119, 2018, Pages 97-109, ISSN 1084-8045.
- Ricardo Colomo-Palacios, Eduardo Fernandes, Pedro Soto-Acosta, Xabier Larrucea, "A case analysis of enabling continuous software deployment through knowledge management", International Journal of Information Management, Volume 40, 2018, Pages 186-189, ISSN 0268-4012.
- G. Pallis, D. Trihinas, A. Tryfonos and M. Dikaiakos, "DevOps as a Service: Pushing the Boundaries of Microservice Adoption," in IEEE Internet Computing, vol. 22, no. 3, pp. 65-71, May./Jun. 2018. doi: 10.1109/MIC.2018.032501519
- D. Taibi and V. Lenarduzzi, "On the Definition of Microservice Bad Smells," in IEEE Software, vol. 35, no. 3, pp. 56-62, May/June 2018. doi: 10.1109/MS.2018.2141031
- Abdollahi Vayghan, L., Saied, M. A., Toeroe, M., & Khendek, F. (2018). Deploying Microservice Based Applications with Kubernetes: Experiments and Lessons Learned. 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 2018-July, 970–973.
2017
- Bogner, J., Wagner, S., & Zimmermann, A. (2017). Towards a practical maintainability quality model for service-and microservice-based systems. In Proceedings of the 11th European Conference on Software Architecture Companion Proceedings - ECSA ’17 (pp. 195–198). New York, New York, USA: ACM Press.
- Zdun, U., Navarro, E., & Leymann, F. (2017). Ensuring and Assessing Architecture Conformance to Microservice Decomposition Patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10601 LNCS, pp. 411–429).
- Bogner, J., Wagner, S., & Zimmermann, A. (2017). Automatically measuring the maintainability of service- and microservice-based systems. In Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement on - IWSM Mensura ’17 (pp. 107–115). New York, New York, USA: ACM Press.
- Shadija, D., Rezai, M., & Hill, R. (2017). Towards an understanding of microservices. In 2017 23rd International Conference on Automation and Computing (ICAC) (pp. 1–6). IEEE.
- Selimi, M., Cerda-Alabern, L., Sanchez-Artigas, M., Freitag, F., & Veiga, L. (2017). Practical Service Placement Approach for Microservices Architecture. In 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (pp. 401–410). IEEE.
- C. Pahl, A. Brogi, J. Soldani and P. Jamshidi, "Cloud Container Technologies: a State-of-the-Art Review," in IEEE Transactions on Cloud Computing, 2017. doi: 10.1109/TCC.2017.2702586
- S. Hassan, N. Ali and R. Bahsoon, "Microservice Ambients: An Architectural Meta-Modelling Approach for Microservice Granularity," 2017 IEEE International Conference on Software Architecture (ICSA), Gothenburg, 2017, pp. 1-10. doi: 10.1109/ICSA.2017.32
- Erich, FMA, Amrit, C, Daneva, M. A qualitative study of DevOps usage in practice. J Softw Evol Proc. 2017; 29: e1885. doi: 10.1002/smr.1885
- Chen, R., Li, S., & Li, Z. (2017). "From Monolith to Microservices: A Dataflow-Driven Approach". In 2017 24th Asia-Pacific Software Engineering Conference (APSEC) (Vol. 2017–Decem, pp. 466–475). IEEE. https://doi.org/10.1109/APSEC.2017.53
- Viral Gupta, P.K. Kapur, Deepak Kumar, "Modeling and measuring attributes influencing DevOps implementation in an enterprise using structural equation modeling", Information and Software Technology, Volume 92, 2017, Pages 75-91, ISSN 0950-5849, https://doi.org/10.1016/j.infsof.2017.07.010.
- C. Barna, H. Khazaei, M. Fokaefs and M. Litoiu, "Delivering Elastic Containerized Cloud Applications to Enable DevOps," 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Buenos Aires, 2017, pp. 65-75. doi: 10.1109/SEAMS.2017.12
- Nane Kratzke, Peter-Christian Quint, "Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study", Journal of Systems and Software, Volume 126, 2017, Pages 1-16, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2017.01.001.
- O'Connor, RV, Elger, P, Clarke, PM. "Continuous software engineering—A microservices architecture perspective". J Softw Evol Proc. 2017; 29: e1866. DOI: 10.1002/smr.1866
- Garriga M. (2018) Towards a Taxonomy of Microservices Architectures. In: Cerone A., Roveri M. (eds) Software Engineering and Formal Methods. SEFM 2017. Lecture Notes in Computer Science, vol 10729. Springer, Cham
- M. Waseem and P. Liang, "Microservices Architecture in DevOps," 2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW), Nanjing, 2017, pp. 13-14. doi: 10.1109/APSECW.2017.18.
- Mazlami, G., Cito, J., & Leitner, P. (2017). "Extraction of Microservices from Monolithic Software Architectures". In 2017 IEEE International Conference on Web Services (ICWS) (pp. 524–531). IEEE. doi: 10.1109/ICWS.2017.61
- Koschel, A., Astrova, I., & Dotterl, J. (2017). "Making the move to microservice architecture". In 2017 International Conference on Information Society (i-Society) (Vol. 2018–Janua, pp. 74–79). IEEE. doi: 10.23919/i-Society.2017.8354675
- Bakshi, K. (2017). "Microservices-based software architecture and approaches". In 2017 IEEE Aerospace Conference (pp. 1–8). IEEE. doi: 10.1109/AERO.2017.7943959
- M. Kassab, J. F. DeFranco and P. A. Laplante, "Software Testing: The State of the Practice," in IEEE Software, vol. 34, no. 5, pp. 46-52, 2017. doi: 10.1109/MS.2017.3571582
- R. Valerdi, "Why Software Is Like Baseball," in IEEE Software, vol. 34, no. 5, pp. 7-9, 2017. doi: 10.1109/MS.2017.3571583
- M. Kersten, "Value Stream Architecture," in IEEE Software, vol. 34, no. 5, pp. 10-12, 2017. doi: 10.1109/MS.2017.3571573
- E. Woods, "Should Architects Code?," in IEEE Software, vol. 34, no. 5, pp. 20-21, 2017. doi: 10.1109/MS.2017.3571574
- J. C. Carver, B. Penzenstadler, A. Serebrenik and A. Yamashita, "The Human Factor," in IEEE Software, vol. 34, no. 5, pp. 90-92, 2017. doi: 10.1109/MS.2017.3571580
- K. Carter, "Francois Raynaud on DevSecOps," in IEEE Software, vol. 34, no. 5, pp. 93-96, 2017. doi: 10.1109/MS.2017.3571578
2016
- Riungu-Kalliosaari, L., Mäkinen, S., Lwakatare, L. E., Tiihonen, J., & Männistö, T. (2016). DevOps Adoption Benefits and Challenges in Practice: A Case Study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10027 LNCS, pp. 590–597).
- Leitner, P., Cito, J., & Stöckli, E. (2016). Modelling and managing deployment costs of microservice-based cloud applications. In Proceedings of the 9th International Conference on Utility and Cloud Computing - UCC ’16 (pp. 165–174). New York, New York, USA: ACM Press.
- Pahl, C., & Jamshidi, P. (2016). Microservices: A Systematic Mapping Study. In Proceedings of the 6th International Conference on Cloud Computing and Services Science (pp. 137–146). SCITEPRESS - Science and and Technology Publications.
- L. Zhu, L. Bass and G. Champlin-Scharff, "DevOps and Its Practices," in IEEE Software, vol. 33, no. 3, pp. 32-34, May-June 2016. doi: 10.1109/MS.2016.81
- D. Jaramillo, D. V. Nguyen and R. Smart, "Leveraging microservices architecture by using Docker technology," SoutheastCon 2016, Norfolk, VA, 2016, pp. 1-5. doi: 10.1109/SECON.2016.7506647
- T. Salah, M. Jamal Zemerly, Chan Yeob Yeun, M. Al-Qutayri and Y. Al-Hammadi, "The evolution of distributed systems towards microservices architecture," 2016 11th International Conference for Internet Technology and Secured Transactions (ICITST), Barcelona, 2016, pp. 318-325. doi: 10.1109/ICITST.2016.7856721.
- N. Alshuqayran, N. Ali and R. Evans, "A Systematic Mapping Study in Microservice Architecture," 2016 IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA), Macau, 2016, pp. 44-51. doi: 10.1109/SOCA.2016.15.
- Lin, J., Lin, L. C., & Huang, S. (2016). "Migrating web applications to clouds with microservice architectures". In 2016 International Conference on Applied System Innovation (ICASI) (pp. 1–4). IEEE. https://doi.org/10.1109/ICASI.2016.7539733 doi: 10.1109/SOCA.2016.15.
- H. Kang, M. Le and S. Tao, "Container and Microservice Driven Design for Cloud Infrastructure DevOps," 2016 IEEE International Conference on Cloud Engineering (IC2E), Berlin, 2016, pp. 202-211. doi: 10.1109/IC2E.2016.26
- A. Balalaie, A. Heydarnoori and P. Jamshidi, "Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture," in IEEE Software, vol. 33, no. 3, pp. 42-52, 2016. doi:10.1109/MS.2016.64
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2015
- Balalaie A., Heydarnoori A., Jamshidi P. (2016) Migrating to Cloud-Native Architectures Using Microservices: An Experience Report. In: Celesti A., Leitner P. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2015. Communications in Computer and Information Science, vol 567. Springer, Cham
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2014
- Böhmann, T., Leimeister, J. M., & Möslein, K. (2014). Service Systems Engineering. Business & Information Systems Engineering, 6(2), 73–79.

Objetivos

Espera-se que os alunos vivenciem exposição prática a ferramentas, processos e princípios do desenvolvimento de aplicações baseadas na arquitetura de microservices, juntamente com as boas práticas e técnicas de implantação nos princípios de DevOps e as vantagens e desafios do uso e imersão na Computação em Nuvem através de projetos práticos, enquanto compreendem modelos e ideias de pesquisa por trás das ferramentas e processos. As aulas incluirão experiências de aprendizagem no estilo de workshops, onde os alunos irão trabalhar em um problema e receberão comentários do professor, colaboradores convidados e outros colegas de classe. Quando possível, palestras convidadas da indústria ajudarão a ilustrar exemplos de como a tecnologia é implantada na prática.

Metodologia

Na disciplina, será utilizada uma mistura de aulas tradicionais com atividades e workshops em sala de aula. Durante as aulas, abordaremos conceitos básicos relacionados aos tópicos a serem tratados na disciplina. Durante os workshops em sala de aula, realizaremos exemplos de exercícios com ferramentas relevantes que reforçam o material de aula. As avaliações serão baseadas nas aulas, exercícios dirigidos, workshops e o projeto final.

Pré-Requisitos

Para participar deste curso é desejável que os participantes tenham:

Conhecimento básico de inglês técnico para leitura, estudo e acompanhamento das atividades propostas, uma vez que a maior parte do material disponível está em inglês.
Conhecimento básico de arquitetura de computador, sistemas operacionais, redes, engenharia de software e banco de dados.
Conhecimento de modelos de processo de desenvolvimento de software, em especial Metodologias Ágeis, testes de software. Conhecimento em TDD e BDD serão uma vantagem. Maiores informações podem ser consultadas no site da disciplina de Engenharia de Software (IF977).
Experiência em sistemas de computação, armazenamento, infraestruturas de rede e computação em nuvem será uma vantagem.

Avaliação

Projeto em equipe com até 3 membros [70%]
- Caráter puramente acadêmico e educacional. O projeto vai tratar de diversos aspectos do desenvolvimento de uma aplicação simples com arquitetura de microsserviços.
Observações:
- Entrega fora do prazo: redutor de 1 ponto por dia de atraso.
- Atraso máximo: 1 (uma) semana. Após esse prazo, será dada nota zero para a respectiva atividade de avaliação.
- Trabalhos com referências bibliográficas inconsistentes terão um redutor no conteúdo técnico.
- Trabalhos “CTRL-C + CTRL-V” terão nota zero (vale tanto para cópia de colegas, como para trabalhos copiados da internet).
Exercício Escolar Teórico Individual e/ou Atividades Práticas Individuais [30%]
- Exercício com questões objetivas
Como atividade de recuperação é proposta a aplicação de um Exercício Escolar abordando os temas apresentados e discutidos em classe.

Projetos

2020.3
- Equipe microservices-communication
- Equipe Stackprior
- Equipe Logs, mô?
- Equipe observable-api-gateway
- Equipe Microsservices Logs Management
- Equipe Saga orchestrator microservice
- Equipe MicroServices-Guide
2020.1*
- Equipe MLog
- Equipe Flogi
- Equipe MicroObs
- Equipe KubeKepam
- Equipe Cloud Walker Toolkit
- Equipe observability_microservices
- Equipe Vacation Rental Analyzer
2019.1
- Equipe Hangry
- Equipe Face Detection System
- Equipe Logs efetivos: um impacto direto na observabilidade de microsserviços
- Equipe Shared Sessions
- Equipe Construindo Microservices com Spring Cloud Netflix: Agenda & Configuração
- Equipe DCM - Data Centering Middleware
- Equipe Automatizando a Implantação de aplicações Baseadas em Microsserviços
- Equipe Greenhouse Delivery On Minikube
- Equipe MoreHealth
- Equipe Uma Arquitetura Micros Serviços com Ênfase em CQRS – Um Relatório Técnico
- Equipe A Microservice Refactor on Open Source Project Vitaes
- Equipe Iudex private project, sorry :)
- Equipe A demo application based on microservices architecture
- Equipe Estufa Collection
2018.1
- Equipe Porquin
- Equipe Scale
- Equipe CSD (Catalog Series and Drama) Service
- Equipe Horários acadêmicos
- Equipe Wyatt
- Equipe SWAN
- Equipe Hygieia Dashboard Clusterized on Kubernetes
- Equipe Cartola-MicroServices
- Equipe Greenhouse delivery
- Equipe HAUL-AWS

Recursos

Play with Docker: A simple, interactive and fun playground to learn Docker
Play with Kubernetes: A simple, interactive and fun playground to learn Kubernetes
Envoy Proxy: An Open Source Edge and Service Proxy, Designed for Cloud-Native Applications
5 Best API Documentation Tools, by Susanna Bouse -- July 7, 2020

Microservice-Based Applications Demo

Sock Shop: A Microservices Demo Application
Hispter Shop (Online Boutique): A cloud-native microservices demo application form Google (10 microservices)
Stan's Robot Shop: A sample microservice application you can use as a sandbox to test and learn containerised application orchestration and monitoring techniques
TrainTicket: A Benchmark Microservice System (41 microservices)
DeathStarBench: Open-source benchmark suite for cloud microservices (5 microservices)
TeaStore: A microservice reference and test application to be used in benchmarks and tests (5 microservices)
A curated list of Open Source projects developed with a microservices architectural style

Tópicos

Welcome, Methodology, Course Introduction (Core Topics)
Introduction to Microservices Concepts
Demystifying Microservices
Building Microservices with Spring Boot
Applying Microservices Concepts
Microservices Evolution – A Case Study
Scaling Microservices with Spring Cloud
Autoscaling Microservices
Logging and Monitoring Microservices
Containerizing Microservices with Docker
Managing Dockerized Microservices with Mesos and Marathon
Kubernetes orquestration enviroment
The Microservices Development Life Cycle

Plano de aulas 2020.1

#	Class	Topics	Assignments
01	Mar-02	Welcome, Methodology, Course Introduction (Core Topics)
02	Mar-04	Introduction to Microservices Concepts	HW1
03	Mar-09	Demystifying Microservices 1/2
04	Mar-11	Demystifying Microservices 2/2	HW2
05	Mar-16	Building Microservices with Spring Boot 1/2
06	Mar-18	Building Microservices with Spring Boot 2/2	HW3
07	Mar-23	Applying Microservices Concepts 1/2
08	Mar-25	Applying Microservices Concepts 1/2	HW4
09	Mar-30	Microservices Evolution – A Case Study 1/2
10	Apr-01	Microservices Evolution – A Case Study 2/2	HW5
11	Apr-06	Scaling Microservices with Spring Cloud 1/2
12	Apr-08	Scaling Microservices with Spring Cloud 2/2	HW6
13	Apr-13	Autoscaling Microservices 1/2
14	Apr-15	Autoscaling Microservices 2/2	HW7
15	Apr-20	Background: Operations (Chapter 3 from Len Bass' book)	HW9
16	Apr-22	The Deployment Pipeline (Chapter 4 from Len Bass' book)
17	Apr-27	Logging and Monitoring Microservices 1/2
18	Apr-29	Logging and Monitoring Microservices 2/2	HW8
19	May-04	Containerizing Microservices with Docker 1/2
20	May-06	Containerizing Microservices with Docker 2/2	HW11.1, HW11.2
21	May-11	Managing Dockerized Microservices with Mesos and Marathon 1/2
22	May-13	Managing Dockerized Microservices with Mesos and Marathon 2/2	HW12
23	May-18	Introduction to Kubernetes 1/2
24	May-20	Introduction to Kubernetes 2/2
25	May-25	The Microservices Development Life Cycle 1/2
26	May-27	The Microservices Development Life Cycle 2/2
27	Jun-01	Migrando Aplicações para Arquiteturas Nativas de Nuvem
28	Jun-03	Follow-up of project execution
29	Jun-08	Project execution time
30	Jun-10	Follow-up of project execution
31	Jun-15	Project execution time
32	Jun-17	Follow-up of project execution
33	Jun-22	Project presentation
34	Jun-24	Project presentation
35	Jun-29
36	Jul-01	Publication of final results

Disciplinas correlatas e/ou influenciadas

Após a iniciativa de construção desta disciplina, outras nasceram motivadas por este movimento ou inspiradas nos tópicos aqui cobertos. São elas:

Desmistificando DevOps: Projetando Arquiteturas Efetivamente Escaláveis, Prof. Vinicius Garcia, Centro de Informática - UFPE
Programação para a Web 2, Prof. Diego Pessoa, CST em Análise e Desenvolvimento de Sistemas, IFPB - Campus Cajazeiras

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sourcecode		sourcecode
.gitignore		.gitignore
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
PULL_REQUEST_TEMPLATE.md		PULL_REQUEST_TEMPLATE.md
README.md		README.md
guidelines.md		guidelines.md
if1007-microservices-icon.png		if1007-microservices-icon.png
if1007-microservices-status-report-MMDD-MMDD.pptx		if1007-microservices-status-report-MMDD-MMDD.pptx

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Desenvolvimento de Aplicações Nativas da Nuvem com Arquitetura Baseada em Microservices

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Desenvolvimento de Aplicações Nativas da Nuvem com Arquitetura Baseada em Microservices

Sistemas de Informação, Centro de Informática, (UFPE)

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Local

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Ementa

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Plano de aulas 2020.1

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