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Enhancing cloud applications by using messaging services

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Previous Lesson

Messaging in the cloud

Lab 2 overview

Course Progress

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Course Syllabus

Get started
- prerequisites
Part 1 objectives
- Learning objectives
Hosting cloud applications
- Cloud service models
- Bluemix Deployment models
- Capabilities for rapid application deployment on Bluemix
- Cloud service models and IBM Cloud offerings
- IBM Bluemix capabilities
Planning Cloud applications on Bluemix
- Components of Bluemix PaaS compute options
- Components of Bluemix PaaS
- Bluemix Cloud Foundry runtimes and application staging
- Bluemix application deployment
- Managing organizations, spaces, domains, and regions
- Managing the Bluemix platform
Lab 1: use the Bluemix CLI to deploy and manage apps
- Bluemix CLI Overview
- Using the Bluemix CLI
- Lab overview
- 1. Install the Bluemix command-line interface (CLI)
- 2. Understand your Bluemix account
- 3. Deploy an application from a project by using the Bluemix command line tool
- 4. Add a service to an application using the Cloud Foundry cli
- Lab solution
Designing and developing cloud applications
- Twelve-factor app methodology
- The twelve-factor app and IBM Bluemix
- Apply IBM Cloud reference architectures
- Function as a service and OpenWhisk
Part 1 wrap up
- Part 1 wrap up
Part 2
- Learning objectives
Enhance applications with services and security
- Using caching with applications
- Enhancing applications by using caching services
Enhance cloud applications by using messaging services
- Messaging in the cloud
- Enhancing cloud applications by using messaging services
Lab 2: messaging in the cloud
- Lab 2 overview
- 1. Create a Message Hub service instance
- 2. Deploy the sample application to Bluemix
- 3. Experiment with adjusting the destination time-to-live
- 4. Review the code
Enhance applications with cognitive APIs
- Watson Developer Cloud offerings and APIs
- Enhance applications with Watson APIs
Lab 3: set up an app with Natural Language Understanding
- Lab overview
- 1. Configure an app to use Natural Language Understanding
- 2. Run an app to use Natural Language Understanding on local setup
- 3. Run the app to use Natural Language Understanding on Bluemix
- Details of the key APIs used from the Watson SDK
Object storage services in IBM Bluemix
- Object storage
- Enhancing applications with object storage
Lab 4: add object storage services in Bluemix
- Lab overview
- 1. Create an app and an Object Storage instance in Bluemix
- 2. Get the credentials required to access the Object Storage service by using REST APIs
- 3. Authenticate against your Object Storage service instance by using Postman
- 4. Use the Swift API to manage containers and objects
Data service types in Bluemix
- Data services
- Data services in IBM Bluemix PaaS
- Features of Cloudant NoSQL Database
- Capabilities of Cloudant
- Managing instances of Cloudant
Lab 5: manage instances of Cloudant
- Lab overview
- 1. Create a Cloudant database instance
- 2. Create a database
- 3. Add data to an existing database
- 4. Clone documents in a database
- 5. Edit documents in a database
- 6. Create a simple query of all the documents in a database
- 7. Create a secondary index using a view with a map function
- 8. Build an index for use with Cloudant Query
- 9. Setup replication for a sample database
IBM Data Connect
- IBM Data Connect service for Bluemix
- Features of IBM Data Connect in IBM Bluemix
Lab 6: migrating database data by using IBM Data Connect
- Lab overview
- 1. Create a Db2 Warehouse on Cloud service instance
- 2. Create a Cloudant NoSQL database instance
- 3. Create a Data Connect instance in Bluemix
- 4. Save Cloudant and Db2 Warehouse on Cloud database credentials
- 5. Move data from dashDB to Cloudant Database
- 6. Verify that the data was transferred to Cloudant
- Lab solution: IBM Data Connect
Secure your cloud applications with single sign-on
- Cloud applications and single sign-on
- Enhancing cloud applications by using external authentication services
Lab 7: secure an app by using IBM Single Sign-on
- Lab overview
- 1. Create a Node.js starter application and add the Single Sign On service
- 2. Configure a cloud directory identity source
- 3. Bind the Single Sign On service to the application
- 4. Update the Node.js starter application to use the Single Sign On service for external authentication
- 5. Publish your updated application to Bluemix
- 6. Test the application
- Code sample for app.js
- Lab summary
- Lab solution: secure an app by using IBM Single Sign-on
Custom domains and SSL
- Creating custom domains for Bluemix Cloud Foundry applications
- Configuring custom domains and SSL
- Securing applications and data on Bluemix
- Application credential security and data security
Part 2 wrap up
- Part 2 summary
Part 3
- Learning objectives
IBM Bluemix DevOps
- Continuous Delivery toolchains
- Features of IBM Continuous Delivery toolchains
Lab 8: create your first toolchain
- Create the application by using a toolchain
Source code management (SCM) for Continuous Delivery toolchains
- Source code management
- SCM and Continuous Delivery toolchains
Lab 9: source control management using Git commands
- Lab overview
- 1. Create a local repository
- 2. Synchronize code with the remote repository
- Lab summary
Code editing for Continuous Delivery toolchains
- Using code editors with Continuous Delivery toolchains
- Code Editing with Continuous Delivery toolchains
Lab 10: code editing and deployment with the Web IDE
- Lab overview
- Edit the code using Eclipse Web IDE
- Lab summary
Managing CI and CD with Delivery Pipeline
- Continuous integration and continuous delivery
- Using Delivery Pipeline to automate building, testing, and deploying
Lab 11: manage CI and CD by using Delivery Pipeline
- Lab overview
- Working with the Delivery Pipeline
- Lab summary
- 1. Add the Auto-Scaling service to your application
Application scaling
- Scaling applications
- Scaling applications on IBM Bluemix
Lab 12: scaling applications
- Lab prerequisites
- 2. Create and modify auto-scaling polices
- 3. View auto-scaling metric statistics and history
Load testing
- Load testing in the cloud
- Load testing applications in the cloud
Lab 13: load testing cloud applications
- Lab prerequisites
- 1. Import the application used for load testing from GitHub
- 2. Add a Load Impact service to your application
- 3. Create a user scenario
- 4. Create and run a test configuration
- 5. View the load impact test results
- Sample test code for the load impact scenario
Application monitoring
- Monitoring applications on IBM Bluemix
- Monitoring applications in the cloud
Lab 14: application monitoring
- 1. Add a Monitoring and Analytics service to your application
- 2. View runtime statistics about the application
- 3. Monitor your own web application
- 4. Get started with Availability Monitoring on your application
- 5. Create a test script from uploaded script
Debugging in IBM Bluemix
- Methods for debugging applications in IBM Bluemix
- Debugging applications in the cloud
Lab 15: debug applications in IBM Bluemix
- Lab overview
- 1. Install prerequisite software
- 2. Debug a Java application
- 3. Debug a Node.js application
Wrap up
- Part 3 summary
- Course summary
- Next steps

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