You’ve heard about limiting WIP (Work-In-Progress) but how good are you at limiting red time? Red time is when you have compilation errors and/or failing tests. A growing group of practitioners have learned how to effectively reduce red time while test-driving and refactoring code. To understand how to limit red time, it helps to visualize it.

In this talk, I demonstrated various strategies to limit your time in Red. We also analyzed a live programming sessions using graphs that clearly visualize red time. Participants learned what development processes help or hurt our ability to limit red time and gained an appreciation for the visual cues that can help make you a better developers and fellow member of the Limited Red Society.

Slides from the Presentation:

Lets assume you have a simple web application which runs on a web server like tomcat, jetty, IIS or mongrel and is backed by a database. Also lets say you have only one instance of your application running  (non-clustered) in production.

Now you want to deploy your application several times a week. The single biggest issue that gets in the way of continuous deployment is, every time you deploy a new version of your application, you don’t want a downtime (destroy your user’s session). In this blog, I’ll describe how to deploy your applications without interrupting the user.

First time set-up steps:

• On your local machine set up a web server cluster for session replication and ensure your application works fine in a clustered environment. (Tips on setting up a tomcat cluster of session replication). You might want to look at all the objects you are storing in you session and whether they are serializable or not.
• On your production server, set up another web server instance. We’ll call this temp_webserver. Make sure the temp_webserver runs on  a different port than your production server. (In tomcat update the ports in the tomcat/config/server.xml file). Also for now, don’t enable clustering yet.
• In your browser access the temp_webserver (different port) and make sure everything is working as expected. Usually both the port on which the production web server and the temp_webserver is running should be blocked and not accessible directly from any other machine. In such cases, set up an SSH-tunnel on the specified port to access the webapp in your browser. (ssh -L 3333:your.domain.com:web_server_port username@server_ip_or_name). Alternatively you could SSH to the production box and use Lynx (text browser) to test your webapp.
• Now enable clustering on both web servers, start them and make sure the session is replicated. To test session replication, bring up one webserver instance, login, then bring up the other instance, now bring down the first instance and make sure your app does not prompt you to login again. Wait a sec! When you brought down the first server, you get a 404 Page not found. Of course, even though clustering might be working fine, your browser has no way to know about the other instance of web server, which is running on a different port. It expects a webserver on the production server’s port.
• To solve this problem, we’ll have to set up a reverse-proxy server like Nginx on your production box or any of your other publically accessible server. You will have to configure the reverse proxy server to run on the port on which your web server was running and change your webserver to run on a different (more secure) port. The reverse proxy server will listen on the required port and proxy all web requests to your server. (sample Nginx Configuration). This will help us start and stop one of our webservers without the user noticing it. Also notice that its a good practice to let your reverse proxy server serve all static content. Its usually a magnitude faster.
• After setting up a round robin reverse proxy, you should be able to test your application in a clustered environment.
• Once you know your webapp works fine in a clustered env in production, you can change the reverse-proxy configuration to direct all traffic to just your actual production webserver. You can comment out the temp_webserver line to ensure only production webserver is getting all requests. (Every time you make a change to your reverse proxy setting, you’ll have to reload the configuration or restart the reverse proxy server. Which usually takes a fraction of a second.)
• Now un-deploy the application on the temp_webserver and stop the temp_webserver. Everything should continue working as before.
• * At each step of this process, its handy to run a battery of functional tests (Selenium or Sahi) to make sure that your application is actually work the way you expect it. Manual testing is not sustainable and scalable.

This concludes our initial set-up. We have enabled ourselves to do continuous deployment without interrupting the user.

Note: Even though our web-server is clustered for session replication, we are still using the same database on both instances.

Now lets see what steps we need to take when we want to deploy a new version of our application.

• FTP the latest web app archive (war) to the production server.
• If you have made any Database changes follow Owen’s advice on Zero-Downtime Database Deployment. This will help you upgrade the DB without affecting the existing, running production app.
• Next bring up the temp_webserver and deploy the latest web application. In most cases, its just a matter of dropping the web archive in the web apps folder.
• Set up a SSH-Proxy from your machine to access the temp_webserver. Run all your smoke tests to make sure the new version of the web-app works fine.
• Go back into your reverse proxy configuration and comment out the production webserver line and uncomment the temp_webserver line. Reload/Restart your reverse proxy, now all request should be redirected to temp_webserver. Since your reverse proxy does not hold any state, reloading/restarting it should not make any difference. Also since your sessions are replicated in the cluster, users should see no difference, except that now they are working on the latest version of your web app.
• Now undeploy the old version and deploy the latest version of your web app on the production webserver. Bring it up and test it using a SSH_proxy from your local machine.
• Once you know the production web-server is up and running on the latest version of your app, comment out the temp_webserver and uncomment the production webserver in the reverse proxy setting . Reload the configuration or restart the reverse proxy. Now all traffic should get redirected to your production web server.
• At this point the temp_webserver has done its job. Its time to undeploy the application and stop the temp_webserver.

Congrats, you have just upgraded your web application to the latest version without interrupting your users.

Note: All the above steps are very trivial to automate using a script. Because of the speed and accuracy, I would bet all my money on the automated script.

What is the purpose of Continuous Integration (CI)?

To avoid last minute integration surprises. CI tries to break the integration process into small, frequent steps to avoid big bang integration as it leads to integration nightmare.

If people are afraid to check-in frequently, your Continuous Integration process is not working.

CI process goes hand in hand with Collective Code Ownership and Single-Team attitude.

CI is the manifestation of “Stop the Line” culture from Lean Manufacturing.

What are the advantages of Continuous Integration?

• Helps to improve the quality of the software and reduce the risk by giving quicker feedback.
  • Experience shows that a huge number of bugs are introduced during the last-minute code integration under panic conditions.
• Brings the team together. Helps to build collaborative teams.
• Gives a level of confidence to checkin code more frequently that was once not there.
• Helps to maintain the latest version of the code base in always shippable state. (for testing, demo, or release purposes)
• Encourages lose coupling and evolutionary design.
• Increase visibility and acts as an information radiator for the team.
• By integrating frequently, it helps us avoid huge integration effort in the end.
• Helps you visualize various trends about your source code. Can be a great starting point to improve your development process.

Is Continuous Integration the same as Continuous build?

No, continuous build only checks if the code compiles and links correctly. Continuous Integration goes beyond just compiling.

• It executes a battery of unit and functional tests to verify that the latest version of the source code is still functional.
• It runs a collection of source code analysis tools to give you feedback about the Quality of the source code.
• It executes you packing script to make sure, the application can be packaged and installed.

Of course, both CI and CB should:

• track changes,
• archive and visualize build results and
• intelligently publish/notify the results to the team.

How do you differentiate between Frequent Versus Continuous Integration?

Continuous means:

• As soon as there is something new to build, its built automatically. You want to fail-fast and get this feedback as rapidly as possible.
• When it stops becoming an event (ceremony) and becomes a behavior (habit).

Merge a little at a time to avoid the big cost at full integration at the end of a project. The bottom line is fail-fast & quicker feedback.

Can Continuous Integration be manual?

Manual Continuous Integration is the practice of frequently integrating with other team members’ code manually on developer’s machine or an independent machine.

Because people are not good at being consistent and cannot do repetitive tasks (its a machine’s job), IMHO, this process should be automated so that you are compiling, testing, inspecting and responding to feedback.

What are the Pre-Requisites for Continuous Integration?

This is a grey area. Here a quick list is:

• Common source code repository
• Source Control Management tool
• Automated Build scripts
• Automated tests
• Feedback mechanism
• Commit code frequently
• Change of developer mentality, .i.e. desire to get rapid feedback and increase visibility.

What are the various steps in the Continuous Integration build?

• pulling the source from the SCM
• generating source (if you are using code generation)
• compiling source
• executing unit tests
• run static code analysis tools – project size, coding convention violation checker, dependency analysis, cyclomatic complexity, etc.
• generate version control usage trends
• generate documentation
• setup the environment (pre build)
• set up third party dependency. Example: run database migration scripts
• packaging
• deployment
• run various regression tests: smoke, integration, functional and performance test
• run dynamic code analysis tools – code coverage, dead-code analyzer,
• create and test installer
• restore the environment (post build)
• publishing build artifact
• report/publish status of the build
• update historical record of the build
• build metrics – timings
• gather auditing information (i.e. why, who)
• labeling the repository
• trigger dependent builds

Who are the stakeholders of the Continuous Integration build?

• Developers
• Testers [QA]
• Analysts/Subject Matter Experts
• Managers
• System Operations
• Architects
• DBAs
• UX Team
• Agile/CI Coach

What is the scope of QA?

They help the team with automating the functional tests. They pick up the product from the nightly build and do other types of testing.
For Ex: Exploratory testing, Mutation testing, Some System tests which are hard to automate.

What are the different types of builds that make Continuous Integration and what are they based on?

We break down the CI build into different builds depending on their scope & time of feedback cycle and the target audience.

1. Local Developer build :
1.a. Job: Retains the environment. Only compiles and tests locally changed code (incremental).
1.b. Feedback: less than 5 mins.
1.c. Stakeholders: Developer pair who runs the build
1.d. Frequency: Before checking in code
1.e. Where: On developer workstation/laptop

2. Smoke build :
2.a. Job: Compiles , Unit test , Automated acceptance and Smoke tests on a clean environment[including database].
2.b. Feedback: less than 10 to 15 mins. (If it takes longer, then you could make the build incremental, not start on a clean environment)
2.c. Stakeholders: All the developers within a single team.
2.d. Frequency: With every checkin
2.e. Where: On a team’s dedicated continuous integration server. [Multiple modules can share the server, if they have parallel builds]

3. Functional build :
3.a. Job: Compiles , Unit test , Automated acceptance and All Functional\Regression tests on a clean environment. Stubs/Mocks out other modules or systems.
3.b. Feedback: less than 1 hour.
3.c. Stakeholders: Developers , QA , Analysts in a given team
3.d. Frequency: Every 2 to 3 hours
3.e. Where: On a team’s dedicated continuous integration server.

4. Cross module build :
4.a. Job: If your project has multiple teams, each working on a separate module, this build integrates those modules and runs the functional build across all those modules.
4.b. Feedback: in less than 4 hr.
4.c. Stakeholders: Developers , QA , Architects , Manager , Analyst across the module team
4.d. Frequency: 2 to 3 times a day
4.e. Where: On a continuous integration server owned by all the modules. [Different from above]

5. Product build :
5.a. Job: Integrates all the code that is required to create a single product. Nothing is mocked or stubbed. [Except things that are not yet built]. Creates all the artifacts and publishes a deployable product.
5.b. Feedback: less than 10 hrs.
5.c. Stakeholders: Every one including the Project Management.
5.d. Frequency: Every night.
5.e. Where: On a continuous integration server owned by all the modules. [Same as above]

General Rule of Thumb: No silver bullet. Adapt your own process/practice.