Module Details
Module Code: |
SOFT8025 |
Title: |
Scalable Microservices
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Long Title:
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Scalable Microservices
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NFQ Level: |
Advanced |
Valid From: |
Semester 2 - 2020/21 ( January 2021 ) |
Field of Study: |
4814 - Computer Software
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Module Description: |
Microservices are singular in terms of their responsibility and can be independently scaled, tested and deployed. Services developed using this approach are built around business capabilities using best practices from domain-driven-design and are autonomous and isolated. In this module the student will learn to build, automate, scale and manage a distributed system created from a number of collaborating components represented as microservices.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Apply a framework technology to develop a microservices based application. |
LO2 |
Design a distributed application composed of multiple collaborating services in the form of microservices. |
LO3 |
Develop microservices in a distributed environment. |
LO4 |
Interpret and compare microservice design architectures. |
LO5 |
Design the deployment, scaling and management of microservice based applications. |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
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No incompatible modules listed |
Co-requisite Modules
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No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
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No requirements listed |
Indicative Content |
Core Concepts
History of microservices - Service Oriented Architectures (SOA), Web Services, REST, Microservices. Monolithic service architecture versus micro-service architecture; Microservice characteristics. Overview of microservice development frameworks, technologies and programming languages; Single Microservice design. Building microservices using RESTful API and Web Services. Scalability of REST; Logging; Concurrency Control; Asynchronous and synchronous communication; event loops; Testability; Security; Runtime environments.
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Developing Microservices
Building a microservices application. Service Registration and discovery process. Load balancing across services and Inter-process communication in the Cloud. Server side load balancing and Client side load balancing. Messaging: HTTP, grpc. Message bus: scalability and performance.
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Microservice design and distributed systems.
Patterns for distributed sessions and distributed transaction management: Event sourcing, CQRS, Saga, state machines. Microservices and the CAP theorem. Reliable distributed coordination: RAFT, etcd, zookeeper. Logging. Concurrency issues. Fault tolerance in microservices.
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Microservice architecture and scalability
Lightweight containerisation – compare to traditional server virtualisation, approaches, benefits and implementations e.g. Docker. Linux kernel infrastructure for building containers. Security issues with containerisation; Unikernels and microVMs; Function based services: design, security. Automating deployment, scaling and management of containerised applications e.g. kubernetes.
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Module Content & Assessment
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Assessment Breakdown | % |
Coursework | 100.00% |
Assessments
No End of Module Formal Examination |
Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
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The University reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
Contact |
Lecture underpinning learning outcomes. |
Every Week |
2.00 |
2 |
Lab |
Contact |
Lab supporting content delivered. |
Every Week |
2.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Independent learning & study. |
Every Week |
3.00 |
3 |
Total Hours |
7.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
4.00 |
Workload: Part Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
Contact |
Lecture underpinning learning outcomes. |
Every Week |
2.00 |
2 |
Lab |
Contact |
Lab supporting content delivered. |
Every Week |
2.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Independent learning & study. |
Every Week |
3.00 |
3 |
Total Hours |
7.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
4.00 |
Module Resources
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Recommended Book Resources |
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Chris Richardson. (2018), Microservices Patterns: With examples in Java, Manning Publications, [ISBN: 978-161729454].
| Supplementary Book Resources |
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Denis Kolodin. (2019), Hands-On Microservices with Rust: Build, test, and deploy scalable and reactive microservices with Rust, Packt Publishing, p.520, [ISBN: 978178934275].
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S. Newman. (2019), Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith, O'Reilly Media, [ISBN: 978149204784].
| Recommended Article/Paper Resources |
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Agache, Alexandru, et al.. (2020), Firecracker: Lightweight Virtualization
for Serverless Applications., 7th {USENIX} Symposium on Networked
Systems Design and Implementation NSDI
20.
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Ongaro, Diego, and John K. Ousterhout.. (2014), In Search of an Understandable Consensus
Algorithm, USENIX Annual Technical Conference.
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Kreps, Jay, Neha Narkhede, and Jun Rao.. (2011), Kafka: A distributed messaging system
for log processing., Proceedings of the NetDB.
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Howard, Heidi, et al.. (2015), Raft refloated: Do we have consensus?, ACM SIGOPS Operating Systems Review.
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Dragoni, Nicola, et al.. (2017), Microservices: yesterday, today, and
tomorrow., Present and ulterior software
engineering. Springer..
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Combe, Theo, Antony Martin, and Roberto
Di Pietro.. (2016), To docker or not to docker: A security
perspective., IEEE Cloud Computing 3.5.
| Other Resources |
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Website, Microservices,
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Website, Cloud Design Patterns,
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Website, Patterns for Distributed Systems,
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