Slide Mulesoft Meetup Milano #10.pdf

1. All contents © MuleSoft, LLC 26 Gennaio 2023 MILANO MuleSoft Meetup Group CI/CD Use Case Introduzione a DataGraph

2. All contents © MuleSoft, LLC Agenda 1. Check-in e benvenuto 2. CI/CD Use Case - Davide Bonaciti (Electrolux Professional) 3. Introduzione a DataGraph - Serena Galassi, Lorenzo Ornella e Stefano Bernardini (WebResults - Engineering Ingegneria Informatica) 4. Wrap Up & Close

3. All contents © MuleSoft, LLC 3 Company: Electrolux Professional SpA Role: IT Operations and Integrations Manager Biography • I Worked 15 years as developer and analyst • Languages: VB6, .NET, COBOL, Java • Application servers: Microsoft IIS, IBM WebSphere • Business areas: product documentation, planning, manufacturing, WMS • In last 7 years, I worked in the infrastructure area • Data center • Cloud platforms • Integrations • Application architecture design • Mulesoft certiﬁcations • MuleSoft Certiﬁed Developer - Level 1 (Mule 4) Introductions

4. All contents © MuleSoft, LLC 4 1. What is CI/CD 2. Beneﬁts of CI/CD 3. Requirements for CI/CD 4. Why we implemented CI/CD 5. How we implemented CI/CD 6. Q&A Agenda

5. All contents © MuleSoft, LLC 5 ● CI/CD = Continuous Integration and Continuous Delivery (and/or Deployment) ● Continuous Integration: is practice that involves developers making small changes and checks to their code. Due to the scale of requirements and the number of steps involved, this process is automated to ensure that teams can build, (unit) test, and package their applications in a reliable and repeatable way ● Continuous Delivery: is the automated delivery of completed code to environments like testing and development. CD provides an automated and consistent way for code to be delivered to these environments. ● Continuous Deployment is the next step of continuous delivery. Every change that passes the automated tests is automatically placed in production In short, CI is a set of practices performed as developers are writing code, and CD is a set of practices performed after the code is completed What is CI/CD

6. All contents © MuleSoft, LLC 6 What is CI/CD

7. All contents © MuleSoft, LLC 7 ● Automated testing enables continuous delivery, which ensures software quality and security and increases the proﬁtability of code in production. ● CI/CD pipelines enable a much shorter time to market for new product features, creating happier customers and lowering strain on development. ● The great increase in overall speed of delivery enabled by CI/CD pipelines improves an organization’s competitive edge. ● Automation frees team members to focus on what they do best, yielding the best end products. ● Organizations with a successful CI/CD pipeline can attract great talent. By moving away from traditional waterfall methods, engineers and developers are no longer bogged down with repetitive activities that are often highly dependent on the completion of other tasks. ● Within our company landscape, CI/CD was crucial for simplifying deploying activities and ensure evidence of activities executed during auditing Beneﬁts of CI/CD

8. All contents © MuleSoft, LLC 8 ● Source code repository (e.g. SVN, BitBucket, GitHub, etc.) ● Artifacts repository (e.g. Artifactory, Nexus) ● Automation tool (e.g. Jenkins, Bamboo, etc.) ● Scripts for running build, test, package, deployment ○ Mulesoft helps us with Mule Maven plugin ● Note ○ We chose to execute deploy starting from TAGged source code, avoiding the management of an artifacts repository. But using an artifact repository ■ You could better ensure to have «frozen» versions of packages ■ You could decouple building and deploying activities Requirements for CI/CD

9. All contents © MuleSoft, LLC 9 ● Before CI/CD ● Builds were executed on Anypoint Studio ● No automated test ● Deployment managed by export of jar (developers) and manual deploy on CloudHub (operations) ● No way of tracking deployed packages, required by company regulations for ﬁnancial-related applications ● With CI/CD ● Developers consolidate code on source code repository ● Operations could run automated job for (test), build, deploy ● By using speciﬁc script and automation tool setup, we could track deployments linking the Change Request number (required by ITIL company process) ● The whole process is fully repeatable ● Easy to execute rollback to previous version Why we implemented CI/CD

10. All contents © MuleSoft, LLC 10 ● Anypoint platform (CloudHub 1.0 in our scenario) ○ deﬁne a Connected App for allowing Jenkins to connect to CloudHub ● Source code ○ setup pom.xml to allow execution of Mule Maven plugin ● Tools. Automation requires to use some additional tools, installed on dedicated on-prem server ○ Source code repository, where developers could share the application source code. In our scenario we use SVN, but you could use others (BitBucket, GitHub, etc.) ○ Maven, in order to run the deploy command. ■ Be sure to add proxy settings and Anypoint Exchange credentials to /opt/maven/conf/settings.xml ○ Automation tool, where you could prepare your deploy pipeline (mainly source code check-out, build and deploy). In our scenario we use Jenkins, other tools could be Bamboo, GitLab CI, etc. ○ shell scripts, in our scenario used for having a common script for deploying all applications and for logging all parameters used during the deploy How we implemented CI/CD

11. All contents © MuleSoft, LLC 11 ● The Connected Apps feature provides a framework that enables an external application to integrate with Anypoint Platform using APIs through OAuth 2.0 and OpenID Connect. ● With the Connected Apps feature, developers can delegate access to applications that use APIs to interact with Anypoint Platform programmatically. This functionality is supported as a part of Mule Maven Plugin. ● Oﬃcial documentation: https://docs.mulesoft.com/access-management/connected-apps-overview ● Full example: https://help.mulesoft.com/s/article/Creating-connected-app-and-getting-the-bearer-tok en-example Connected apps

12. All contents © MuleSoft, LLC 12 Connected apps curl --location --request POST 'https://eu1.anypoint.mulesoft.c om/accounts/api/v2/oauth2/token' --header 'Content-Type: application/x-www-form-urlencoded' --data-urlencode 'client_id=******************************' --data-urlencode 'client_secret=****************************' --data-urlencode 'grant_type=client_credentials'

13. All contents © MuleSoft, LLC 13 ● Add Mule Maven plugin to your project (https://docs.mulesoft.com/mule-runtime/4.4/mmp-concept#add-mmp) Source code [+Live demo] Set Mule Maven plugin version Add Mule Maven plugin dependency From this repository

14. All contents © MuleSoft, LLC 14 ● Complete the pom.xml with cloudHubDeployment parameters within conﬁguration section (details at https://docs.mulesoft.com/mule-runtime/4.4/deploy-to-cloudhub) Source code [+Live demo] Mule Maven plugin version from <properties> Anypoint Platform URI Runtime version Connected app parameters Application name CloudHUb environment Region of workers Number of workers Type of workers Enables Object Store V2 If you need to set properties, add here

15. All contents © MuleSoft, LLC 15 ● if you want to test locally the deploy, replace the placeholders with your CloudHub informations. Then, from command line in your project’s folder, package the app and execute the deploy goal: ● In our implementation, all placeholder values are injected from deploy automation tool at runtime. Some values are encrypted within the tool (Jenkins), some other are set in clear text. Resulting command is: ● Example of pom.xml Source code [+Live demo] mvn clean deploy -DmuleDeploy mvn clean package deploy -DmuleDeploy -Duri=https://eu1.anypoint.mulesoft.com -DmuleVersion=4.4.0 -DconnectedAppClientId=***** -DconnectedAppClientSecret=***** -DconnectedAppGrantType=client_credentials -DapplicationName=xxxx -Denvironment=Development -Dglobal-properties-secret=xxxx -Dglobal-env=dev -Dregion=eu-central-1 -Dworkers=2 -DworkerType=MICRO -Dhttps.proxyHost=proxy.mycompany.com -Dhttps.proxyPort=8080

16. All contents © MuleSoft, LLC 16 ● Developer commits code and creates a TAG ● Where required, we take care of change management (ServiceNow) ● Jenkins gets in (manual) input the change/task number, source code from TAG, shell scripts ● Jenkins execute (test), build and deploy, injecting encrypted values where needed Full implementation

17. All contents © MuleSoft, LLC 17 Jenkins implementation [+Live demo] When launching the Jenkins job, we could choose some input parameters: - Destination environment - Application name - The value for global-env property - Workers number/type - SVN repository where source code is stored - TAG to be deployed

18. All contents © MuleSoft, LLC Future steps ● Static code analysis ● Test automation ● Migration to CloudHub 2.0 18

19. © Engineering Anypoint Datagraph Come sfruttare i vantaggi di Datagraph per accelerare l'innovazione consumando le API più velocemente MuleSoft MeetUp 2022 ENGINEERING INNOVATION

20. © Engineering Engineering Presentation Template 20 Presentazioni Anypoint Datagraph / Agenda: investighiamo su Datagraph Stefano Bernardini MCD Level1 Lorenzo Ornella MCD Level1 Serena Galassi MCD Level1 MCD Level2 MCPA Level1

21. © Engineering Engineering Presentation Template 21 Agenda: investighiamo su Datagraph Anypoint Datagraph / Agenda: investighiamo su Datagraph Datagraph technical overview • Cos’è Anypoint Datagraph • Cosa permette di fare Anypoint Datagraph • Anypoint Datagraph e il linguaggio GraphQL Datagraph Use Case • Requisito • Data model • Risultati • Pro Datagraph

22. © Engineering Engineering Presentation Template 22 Datagraph Technical Overview

23. © Engineering Engineering Presentation Template 23 Cos’è Anypoint Datagraph Anypoint Datagraph / Datagraph Technical Overview / Cos’è Anypoint Datagraph Consente di uniﬁcare facilmente le API in un unico servizio dati, il tutto senza scrivere altro codice. Anypoint Datagraph è un nuovo strumento pensato da MuleSoft per accelerare l’innovazione consumando più velocemente le tue API. Gli sviluppatori possono utilizzare Datagraph a proprio vantaggio per accedere a più API tramite una singola richiesta GraphQL.

24. © Engineering Engineering Presentation Template 24 Cosa permette di fare Anypoint Datagraph Anypoint Datagraph / Datagraph Technical Overview / Cosa permette di fare Anypoint Datagraph Aggiungere le API e inserirle in uno schema unico deﬁnito «Uniﬁed Schema» Fare collegamenti tra le API tramite link e merge Consumare più APIs in una singola richiesta Risolvere i problemi e monitorare le prestazioni dell'API

28. © Engineering Engineering Presentation Template 28 Anypoint Datagraph e il linguaggio GraphQL Anypoint Datagraph / Datagraph Technical Overview / Anypoint Datagraph e il linguaggio GraphQL Esempio { rose{ nomeFantaallenatore nomeFantasquadra calciatori{ nomeCalciatore squadra ruolo statistichecalciatori{ mediaFantavoto goalSegnati partiteGiocate calciatoreInfortunato } } } } GraphQL è il linguaggio utilizzato per effettuare query su Datagraph Un servizio GraphQL viene creato deﬁnendo Types e Fields. Inoltre per ogni Fields di un Types è possibile deﬁnire delle funzioni

29. © Engineering Engineering Presentation Template 29 Datagraph Use Case

30. © Engineering Il cliente richiede la realizzazione di un’applicazione che consenta la gestione di una lega di fantacalcio. Il cliente possiede banche dati su differenti applicativi che contengono tutte le informazioni necessarie per la gestione di una lega di fantacalcio. Funzionalità richieste: Inserire i fanta-allenatori che costituiranno la lega Inserire i calciatori acquistati in fase di asta Recuperare le informazioni relative ai fanta-allenatori partecipanti, le rose dei fanta-allenatori, listone dei calciatori da poter acquistare e relative statistiche. 30 Use Case: Requisito Anypoint Datagraph / Datagraph Use Case/ Requisito Engineering Presentation Template

31. © Engineering Engineering Presentation Template 31 Use Case: Data model Anypoint Datagraph / Datagraph Use case / Data model SF_Object «calciatori» - id_calciatore - nome_calciatore - squadra - ruolo

32. © Engineering Engineering Presentation Template 32 Use Case: Risultati Anypoint Datagraph / Datagraph Use Case / Risultati API-led Connectivity è costituito da un totale di 6 API che permettono di soddisfare il requisito funzionale espresso dal cliente. L’architettura è stata pensata, in base al requisito, per essere il mirror dei relativi backend systems. Solo per i metodi di POST è risultata necessaria un’orchestrazione delle informazioni per aggiornare in parallelo le diverse banche dati.

33. © Engineering Engineering Presentation Template 33 La sera dell’asta Anypoint Datagraph / Datagraph Use Case / La sera dell’asta

34. © Engineering Engineering Presentation Template 34 Pro Datagraph Anypoint Datagraph / Datagraph Use Case / Pro Datagraph Business Per un meeting imminente si ha bisogno di recuperare alcune informazioni relative allo stato di alcuni ordini presenti su più sistemi. Si vuole migliorare la customer experience e quindi è possibile investigare sui dati per capire come si potrebbe realizzare una futura API che soddisfi l’output desiderato. Developers Permette di recuperare un set di dati (volendo anche aggregati) quando non si ha accesso ad un sistema. Può tornare utile ad esempio quando si devono recuperare dei dati da utilizzare per una test list durante dei system integration tests. Operation In fase di verifica della coerenza dei dati può tornare utile incrociare tali dati provenienti da diversi sistemi. Ad esempio: si hanno delle informazioni relative agli ordini sia sul CRM che su un database e si ha bisogno di verificare che questi siano coerenti tra di loro.

35. © Engineering Engineering Presentation Template 35 Altro che permette di fare Datagraph Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph • validate an API against the ruleset (https://docs.mulesoft.com/datagraph/ruleset) • Using persisted queries (https://docs.mulesoft.com/datagraph/configure-apq-cdn) • Viewing usage metrics (https://docs.mulesoft.com/datagraph/usage-metrics) • Retrieving the unified schema and diagnostic data (https://docs.mulesoft.com/datagraph/retrieve-unified-schema) • Promuovere in un altro ambiente l’API schemas • Editing API schemas (https://docs.mulesoft.com/datagraph/edit-schema)

36. © Engineering www.eng.it Engineering Ingegneria Informatica SpA @EngineeringSpa gruppo.engineering LifeAtEngineering Serena Galassi Junior MuleSoft Solution Developer Grazie per l’attenzione. ENGINEERING / THE DIGITAL TRANSFORMATION COMPANY Stefano Bernardini Delivery Manager Lorenzo Ornella Team Leader

37. © Engineering Engineering Presentation Template 37 Screen Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

50. © Engineering Engineering Presentation Template 50 Screen Rename Type Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

51. © Engineering Engineering Presentation Template 51 Screen Rename Type Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

55. © Engineering Engineering Presentation Template 55 Screen rendi tutto visibile se lo nasconde in automatico Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

56. © Engineering Engineering Presentation Template 56 Screen Rename Ruoli Type Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

57. © Engineering Engineering Presentation Template 57 Screen Rename Ruoli Type Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

58. © Engineering Engineering Presentation Template 58 Screen Enable Collaboration Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

59. © Engineering Engineering Presentation Template 59 Screen Link to another type Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

61. © Engineering Engineering Presentation Template 61 Screen Enable Collaboration Fantaallenatori Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

62. © Engineering Engineering Presentation Template 62 Screen Enable Collaboration Rosefantaallenatori Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

64. © Engineering Engineering Presentation Template 64 Screen Merge Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

65. © Engineering Engineering Presentation Template 65 Screen Preview Merge and Conﬁrm Merge Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

66. © Engineering Engineering Presentation Template 66 Screen run operation Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

71. © Engineering Engineering Presentation Template 71 Screen Link verso Calcoli Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

74. © Engineering Engineering Presentation Template 74 Screen: Query per ottenere la rosa di un fantaallenatore Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

75. © Engineering Engineering Presentation Template 75 Screen Query per ottenere le rose di tutti i fantaallenatori Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

76. © Engineering Engineering Presentation Template 76 Screen Query per informazioni generali dei singoli fantaallenatori su crediti spesi in totale, numero giocatori presi divisi per ruolo Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

77. © Engineering Engineering Presentation Template 77 Screen Query per panoramica ﬁnanziaria di tutti i fantaallenatori Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

79. © Engineering Engineering Presentation Template 79 Screen Trace Query Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

80. © Engineering Engineering Presentation Template 80 Screen chiamare da postman: recupera client id e client secret Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

81. © Engineering Engineering Presentation Template 81 Screen chiamare da postman: recupera endpoint Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

82. © Engineering Engineering Presentation Template 82 Screen chiamare da postman: fai query da postman Anypoint Datagraph / Datagraph Use Case / Altro che permette di fare Datagraph

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Slide Mulesoft Meetup Milano #10.pdf

Slide Mulesoft Meetup Milano #10.pdf

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Slide Mulesoft Meetup Milano #10.pdf