A Smart Development Environment for Infrastructure as Code

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This document summarizes the SODALITE project, which aims to develop a smart development environment for infrastructure as code (IaC). It received funding from the EU Horizon 2020 program. The SODALITE approach involves modeling of infrastructure resources, application deployment topologies, optimizations, and Ansible playbooks. It will provide textual and visual editors powered by a semantic knowledge base to assist with modeling. Known issues with the editors include formatting and synchronization challenges. Future work may include additional viewpoints and editors for other domain-specific modeling languages.

Software

This project has received funding from the European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 825480.
A Smart Development Environment for
Infrastructure as a Code
Jesús Gorroñogoitia (ATOS)
Zoe Vasileiou (CERTH)
Emilio Imperiali (POLIMI)
Indika Kumara (TUE)
Dragan Radolović (XLAB)
Georgios Meditskos (CERTH)
SiriusCon21
17.06.2021

• SODALITE motivation and approach
• SODALITE Modeling for IaC:
• Roles and DSLs
• Semantic modeling assistance
• Textual Editors (XText)
• Visual Editors (Sirius)
• Textual-Visual interoperability
• Modelling challenges
• Known issues
• Future work
Outline

SiriusCon21 17.06.2021
SODALITE: Motivation
Trustworthy
deployment of
complex app
topologies in
heterogeneous
infrastructures

SiriusCon21 17.06.2021
SODALITE: Approach
MDE
➢ Infrastructure
Resource modeling
➢ App deployment
topology modeling
➢ Optimization
modeling
➢ Ansible modeling
IaC
★ Image building
★ TOSCA blueprint
building
★ Infrastructure
discovering
★ IaC validation and
smell detection
★ Ansible building
Runtime
➔ Parallel, resumable
deployment
Orchestration
➔ Dynamic monitoring
➔ Deployment
Refactoring

SiriusCon21 17.06.2021
SODALITE: Modeling Roles and DSLs
Application
Ops Expert
Resource
Expert
Quality
Expert
Application
Ops Expert
RM
Infrastructure
Resources
AADM
Abstract App
Deployment
Topology
OM
Optimization
AM
Ansible
Playbooks

SiriusCon21 17.06.2021
SODALITE Smart IDE: Approach
resources
content assistance
validation
store
Interlinked components
and resources
Semantic
Knowledge Base
optimisations
DSL
User IDE

AADM Editor
● Based on TOSCA topologies
● Modular modeling
SiriusCon21 17.06.2021
SODALITE Smart IDE: Textual Editors
RM Editor
● Based on TOSCA types
definition
Optimization Editor
● Optimisation of containerised
HPC and AI (training and
inference) applications
Ansible Editor
● Definition of implementation of
interface operations as
Ansible playbooks

￮ Context-aware
modeling assistance
￮ Context-aware content
assistance:
- Node types,
properties,
requirements, etc
￮ Semantic validation
- Model deficiencies
- Smells
- Suggestions
￮ Semantic completion
￮ Optimization
recommendations
SiriusCon21 17.06.2021
SODALITE Smart IDE:
KB-powered modelling assistance and validation

- Visual editor for AADM
- Based on Sirius
- Form-based edition of nodes and policies
SODALITE Smart IDE: Visual Editors

SiriusCon21 17.06.2021
SODALITE Smart IDE: In-Sync Multiview
representations
Textual (XText):
High productivity
Graphical (Sirius)
High communication
Tree (XText, read-only)

• Modeling visual granularity
• Modeling element layout
• Inline vs form-based edition
SODALITE Smart IDE: Modeling challenges

SODALITE Smart IDE: Known issues
• Positional (Indentation-based or Whitespace-Aware Languages)
formatting for textual notation - YAML notation
• Changes in indentation causes errors in model parsing
• XText formatting implemented and triggered.
• XText - Sirius model
synchronization
• Altran XText integration
with Sirius: Xtext Inline
Editors

• Addressing know issues
• Inline edition of AADM elements
• Web based editor for AADM - Sirius Web
• PoC requested by EC reviewers
• Visual editor for other SODALITE DSMLs
• Resource pending, maybe in SODALITE-2
• Multiple viewpoint representations of the same AADM with Sirius
views
• Resource pending, maybe in SODALITE-2
SODALITE Smart IDE: Feature work

Thank you
Q&A
SiriusCon21 17.06.2021
SODALITE: https://www.sodalite.eu/
Smart IDE: https://github.com/SODALITE-EU/ide

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Development of high-tech systems is a complex task done by diverse specialists distributed across the globe. Reference architectures including a clear functional breakdowns can support them and support their decisions. This presentation proposes an approach to improve the development of advanced electron microscopes by using Capella as an authoritative source of information. To support design decisions, a Capella AddOn has been developed to obtain quantitative information, such as throughput numbers, for a particular workflow. First, we will illustrate how functional and system decompositions can be captured and serve as company-wide architecting assets to inform design decisions. Next, we will outline how simulating Capella models can bring valuable insights to modelers. During a demo, we’ll simulate Capella’s Functional chains using the open-source simulation tool POOSL (https://github.com/eclipse/poosl) , and visualize results using the freely available TRACE4CPS tool (https://www.eclipse.org/trace4cps/). Re-using functions from the reference architecture allows us reason about design aspects such as the relation between throughput and design choices about function allocation and parallelism. *** The open-source code of the solution is available at https://github.com/TNO/capella-workflow-dse

CapellaDays2022 | ThermoFisher - ESI TNO | A method for quantitative evaluati...

Obeo

Project Challenges functional and non-functional requirements big team, multi-business units, and multi-geographical sites MBSE skills development ... Project engineering process based on MBSE multi-level MBSE approach (SSS, SSDD, transition to sub-systems, ...) incremental engineering and AGILE development engineering artefacts used and how they're linked (ARCADIA, conventional and AGILE artefacts) Feed Forward Our successes and pains What we expect from Capella for the coming years

CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...

Obeo

Mind Game: You want to build a LEGO Mindstorms Factory for Toy Cars and you are Head of Factory Planning. You identify that your manufacturing planning team and your product design team don’t collaborate with each other, because they work in silos and speak different languages. Their progress is too slow and the results are not synchronized. Imagine: You succeed in merging your experts into one interdisciplinary team where everyone is collaboratively working together – already in the early stages of the engineering cycle. And imagine they start to speak the same language. Doubtless, you would speed up your engineering process. Furthermore, you would also reach a synchronized global solution for your manufacturing system and to be produced toy cars, building bridges inside your organization. But how? This has been introduced by Dr.-Ing. C. Sinnwell in February 2020 in her PhD-thesis. There, she published the latest version of a methodology referred to as “MBPE – Model-Based Production Engineering”. The MBPE-methodology is a new approach for the conceptual design of manufacturing systems based on early product information supported by MBSE using UML. The presentation will spotlight the MBPE-methodology, explaining how to use MBSE in the context of interdisciplinary factory and manufacturing planning. Also, it will be shown, how the methodology could be adapted to be realized with Eclipse Capella instead of any UML-modeling tool, illustrated by an example on how to conceptualize and model a LEGO Mindstorms production line for Toy Cars.

CapellaDays2022 | SIEMENS | Expand MBSE into Model-based Production Engineeri...

Obeo

Gestion applicative des données, un REX du Ministère de l'Éducation Nationale Slides du webinaire IS Designer du Jeudi 10 Novembre 2022. Une approche de modélisation et de génération automatique avec IS Designer. Le pôle de Versailles du Ministère de l'Éducation Nationale a utilisé l'outil open-source Information System Designer sur plusieurs projets à portée nationale pour modéliser les bases de données et les couches applicatives d'accès aux données (DAO). Ce retour d'expérience sera présenté en détail lors de ce webinaire : ✔ la démarche mise en place, ✔ comment l'outil a été utilisé, ✔ les bénéfices constatés. "Pour la dizaine de développeurs impliqués sur ces projets, la production automatique des Tests Unitaires a aussi permis de s'approprier plus facilement le socle technique, grâce à une approche par l'exemple, mais également d’avoir une assurance de non régression sur les fonctionnalités produites."

Gestion applicative des données, un REX du Ministère de l'Éducation Nationale

Obeo

A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements. Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired. However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “simulation”. This presentation introduced how to embed Python or MATLAB® codes inside functions to do “simulation” within Capella.

Simulation with Python and MATLAB® in Capella

Obeo

Achieving quality engineering through descriptive and analytical models Systems architecture design is a key activity that affect the overall systems engineering cost. It is hence fundamental to ensure that the system architecture reaches a proper quality. In this paper, we leverage on MBSE approaches and complement them with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.

From Model-based to Model and Simulation-based Systems Architectures

Obeo

SES ENGINEERING Studio: Achieving the perfect equilibrium between Textual Requirements and Models in Capella enhanced by Automatic Interoperability, Quality & Traceability operations The importance of models is imperative in any Systems Engineering project. However, truth is not exclusively found within models. The need to describe external contracts, regulations, or non-functional requirements, for instance, can be more efficiently satisfied by using textual specifications. In order to achieve the desired “Common Source of Truth”, model and textual requirements must be connected and coexist, desirable enhanced by the automatization of the consistency checking, automatically modifying one side when changes are produced on the other end... Within The REUSE Company, we have realised how crucial it is to facilitate this connection and provide Systems Engineers with the tools required for applying SE across the entire process as seamlessly as possible. This solution is the SES ENGINEERING Studio, and within this webinar, the following capabilities will be shown: - The SES ENGINEERING Studio offers the capability to assess consistency between textual requirements and Capella models. - Automatic generation of Capella models from Textual Requirements inside an RMS (Requirements Management System). This also involves the possibility to complete the exact opposite operation, generating textual requirements from Capella models. - Seamless traceability management between textual requirements (in any RMS) and model elements in Capella; This includes the possibility to automatically suggest traces based on the semantic content of the textual requirement. - If the preferred option is to maintain these textual requirements inside Capella, we offer the possibility to provide a round-trip process between any RMS and Requirements Viewpoint within Capella; thus, allowing that modification at either end, to be synchronized. - Automatic quality assessment of Capella models following a number of pre-established rules or allowing the users to define tailored rules. - Automatic interoperability between SysML and Arcadia models. Presented by José Pereira and José Fuentes (The Reuse Company)

Connecting Textual Requirements with Capella Models

Obeo

Beyond the no code approach, Sirius Web is an open and extensible platform that you can customize in order to support your needs. Discover how to develop specific features in Sirius Web and integrate your modeler with other web applications. Stéphane Bégaudeau, Obeo Stéphane Bégaudeau graduated from the Nantes University of Sciences and Technology and is currently working as an Eclipse Modeling consultant at Obeo in France.

Sirius Web Advanced : Customize and Extend the Platform

Obeo

Learn step-by-step how to create a domain model and define your first diagrams with Sirius Web, without any line of code. It will allow you to easily create custom graphical representations that automatically represent your data in the web. Frédéric Madiot, Obeo Frédéric Madiot is Marketing Manager at Obeo. He has more than 25 years of experience in developing model-driven tools to industrialize the development of new applications and the modernization of existing systems.

Sirius Web 101 : Create a Modeler With No Code

Obeo

What's new in Sirius Web ? Discover the current version and what will come in the next releases. Mélanie Bats, Obeo Mélanie Bats works as CTO at Obeo. In my daily work, I am mainly focused on managing the R&D team, creating products based on our own open source technologies. I am used to work in the development of modeling tools with Sirius like UML Designer. I am committer for the EEF and the Sirius projects. I am also involved in the Eclipse community as being the Eclipse Planning Council chair. I am also a free software activist who has organized and participated in free software events in the Toulouse area.

Sirius Project, Now and In the Future

Obeo

Visualizing, Analyzing and Optimizing Automotive Architecture Models using Sirius Advancing digitalization affects almost all aspects of our modern world. A prominent example is that of modern automobiles. From primarily mechanical machines, cars have evolved into driving complex cyber-physical systems over the last decades. Optimizing such systems consisting of vast networks of sensors, actuators, control units, and communication systems is a huge challenge for today's automotive industry and requires standardized and integrated toolchains fit for purpose. Together with a prestigious automotive industry partner, the Technical University of Ilmenau developed an application together with an integrated toolchain for evaluating and optimizing automotive architecture models. This application is based on the Obeo Sirius project as well as the Eclipse Modeling Framework. Based on Sirius, we created a model editor which is used for visualizing, editing, but also analyzing and optimizing automotive models across the boundaries of different architectural layers. Maximilian Hammer, Technical University of Ilmenau Maximilian Hammer is a Research Assistant at Technical University of Ilmenau

Visualizing, Analyzing and Optimizing Automotive Architecture Models using Si...

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