Master Thesis

Chair of Software Engineering for Business Information Systems (sebis) Faculty of InformaticsTechnische Universität Münchenwwwmatthes.in.tum.de

Master Thesis - final presentation

Interactive Visualizations for supporting the analysis of distributed services utilizationDaniel Graf Hoyos, 11.06.2018, Munich

Outline

Motivation and Background Transition from Monolithic Systems to Microservice Architectures Documentation by Distributed Tracing Architecture Discovery

Research Questions

Solution Approach Data Sources Test Environment

Prototype Implementation

Outlook

Live Demo

Motivation and BackgroundMicroservice Architecture

Monolithic System

- one system per product

- large complexity

- long development iterations

- difficult to scale

- hard to optimize

Distributed Service ArchitectureMonolithic System

Distributed Service Architecture

- low complexity

- agile development

- code reusability

- improved technology fit

- service replaceability

Distributed Service ArchitectureMonolithic System

innercomplexity

outercomplexity

Motivation and BackgroundLiving Documentation

- Independent development of MicroservicesDiverging versions

- Microservice utilized from a different Product Gap between developer and user

- Multiple Products using the same Microservice Differing requirements

- Alignment with planned architecture

In order to keep track: Distributed Tracing

Motivation and BackgroundDistributed Tracing

Reconstruct architecture based on

distributed tracing spans

Design Goals

- Application Level Transparency

- Low overhead

- Scalability

- Realtime data availability

Motivation and BackgroundDistributed Tracing

Motivation and BackgroundArchitecture Discovery: Context

Motivation and BackgroundArchitecture Discovery: Overview

Architecture Discovery

Realtime discovery of- architecture components- inter- and intra-layer dependencies- revisions

Motivation and BackgroundArchitecture Discovery: Results

Problem StatementResearch Questions

How to effectively visualize the relations between Business Entities and Microservices?

Which criteria are suitable to position Microservices meaningfull in a directed Graph?

How can the results of a root cause analysis and its impact be effectively displayed?

Which methods are suitable for displaying larger Microservice Networks in a manageable manner?(clustering, filtering, etc.)

Solution ApproachData Sources

Solution ApproachTest Environment

Prototype ImplementationAvailable Views

Business Technology

Prototype ImplementationEnterprise View

Useful for Enterprise ArchitectSwitch between domain-centered and product-centered view

Prototype ImplementationEnterprise View

Useful for Enterprise ArchitectSwitch between domain-centered and product-centered view

Prototype ImplementationDomain View

Useful for Domain OwnerSwitch between product-centered and microservice-centered view

Prototype ImplementationDomain View

Useful for Domain OwnerSwitch between product-centered and microservice-centered view

Prototype ImplementationProduct View

Useful for Software Architect, Product Owner

Prototype ImplementationMicroservice View

Useful for Development, Operation, Maintenance

Including technical data:

- Microservice Instances- Microservice API

Possibly also:

- Microservice life data

Prototype ImplementationAvailable Views

Enterprise Architect

Software Architect,ProductOwner

Domain Owner

DevelopmentOperationMaintance

Outlook

- Enhanced relation data- Weights to visualize flow- Synchronous / asynchronous

communication

- Enhanced business information- Estimate business value of

Microservice- Identify success critical

Microservices

- Full root cause analysis integration

Live Demo

Technische Universität MünchenFaculty of InformaticsChair of Software Engineering for Business Information Systems

Boltzmannstraße 385748 Garching bei München

wwwmatthes.in.tum.de

Daniel Graf HoyosB. Sc.

daniel.hoyos@tum.de

Master Student Information Systems

Enterprise View

Domain View

Product View

Microservice View

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