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Paolo Di Francesco
Architecting Microservices
Author
Paolo Di Francesco
paolo.difrancesco@gssi.it
Architecting Microservices
Supervisors
Prof. Patricia Lago
p.lago@vu.nl
Dr. Ivano Malavolta
i.malavolta@vu.nl
Gran Sasso Science Institute (GSSI), L’ Aquila, Italy

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2Paolo Di Francesco
Paolo Di Francesco
Microservice architectures
MSA is an architectural style inspired by service-oriented computing
• Small services
• Running in own process
• Lightweight communication
Introduction

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3Paolo Di Francesco
Paolo Di Francesco
Microservice architectures
• Products not Projects
• Cross-functional teams
• Infrastructure automation
• Intelligence in the endpoints
• Decentralized governance of
• Language
• Data
Introduction
Delivery Pipelines
Teams Capabilities

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4Paolo Di Francesco
Paolo Di Francesco
Research Objectives
Goal: Realize a comprehensive understanding of the MSA style
and its architectural properties
• RQ1: What are the key properties of MSA?
• RQ2: How to describe MSA to guide architectural analysis?
• RQ3: How to estimate the impact of MSA migration?
Research Objectives

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5Paolo Di Francesco
Paolo Di Francesco
RQ1: Key properties of MSA
• What is the research focus on MSA?
• Quality attributes
• Architectural activities
• Architectural patterns
• Infrastructure services
• …
• Preliminary Result
Research on architecting microservices: Trends, focus, and
potential for industrial adoption [DLM17]
Research Questions

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6Paolo Di Francesco
Paolo Di Francesco
RQ2: Describe MSA to guide arch. analysis
• Challenges
• High number of services
• Dynamic environments
• …
• Identify instruments for supporting design activities
• Reasoning about software qualities
• Automatic analysis
• Physical and logical modeling
Research Questions

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7Paolo Di Francesco
Paolo Di Francesco
RQ2: Describe MSA to guide arch. analysis
• How to get a clear understanding of the overall architecture?
1. Reverse Engineering
2. Domain-specific Language
• Preliminary Results
• Towards recovering the software architecture of microservice-
based systems [GCD+17]
• MicroART: A software architecture recovery tool for maintaining
microservice-based systems [GCDM+17]
Research Questions

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8Paolo Di Francesco
Paolo Di Francesco
RQ3: Estimate impact of MSA migration
• Migration
• Long and difficult task [JAP13]
• Incremental and iterative process
• Affected by
• Decomposition
• Cloud infrastructure constraints
• Business constraints
• Goal: Key factors for
• Feasibility analysis
• Evaluation of effort, methodologies and techniques
Research Questions

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9Paolo Di Francesco
Paolo Di Francesco
Industrial Impact
1. Mapping study on architecting microservices
• Potential for industrial adoption (TRL, industry involvement)
2. MicroART
• Modeling
• Documentation
• Reasoning
• Change impact analysis
3. Industrial migration case studies
• Experiences, tools and practices
Industrial Impact

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Paolo Di Francesco
Research Plan
Research Plan

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Paolo Di Francesco
Conclusions
Conclusions

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Paolo Di Francesco
References
 DLM17 - P. Di Francesco, P. Lago, and I. Malavolta. Research on architecting
microservices: Trends, focus, and potential for industrial adoption. IEEE International
Conference on Software Architecture (ICSA), 2017
 GCD+17 - G. Granchelli, M. Cardarelli, P. Di Francesco, I. Malavolta, L. Iovino, and A. Di
Salle. Towards recovering the software architecture of microservice-based systems. First
International Workshop on Architecting with MicroServices (AMS), 2017.
 GCDM+17 - G. Granchelli, M. Cardarelli, P. Di Francesco, I. Malavolta, L. Iovino, and A.
Di Salle. Microart: A software architecture recovery tool for maintaining microservice-
based systems. IEEE International Conference on Software Architecture (ICSA), 2017.
 DGL+16 - Dragoni, N., Giallorenzo, S., Lafuente, A. L., Mazzara, M., Montesi, F.,
Mustafin, R., & Safina, L. (2016). Microservices: yesterday, today, and tomorrow. arXiv
preprint arXiv:1606.04036.
 FL14 - M. Fowler and J. Lewis. Microservices a definition of this new architectural term.
URL: http://martinfowler.com/articles/micros-ervices.html
 JAP13 - Jamshidi, P., Ahmad, A. and Pahl, C., 2013. Cloud migration research: a
systematic review. IEEE Transactions on Cloud Computing, 1(2), pp.142-15
References