Launching code you didn’t write: Shipping Next 2020 demos at scale
Our biggest conference of the year couldn’t happen in person. We’ve pushed everything online. That’s fine, we’re Google, we know how to do websites. And demos. And apps. We got this!
Turns out there were some hiccups along the way. Settle down with your favorite beverage, I’d like to tell you a story.
Back in the spring, as we were gearing up for Cloud Next 2020, Terry Ryan (@tpryan) and the Cloud Marketing team put their heads together to figure out what a fully online Next conference would be like. Demos are always a big part of Next, giving Google’s product teams a chance to show off new products and features to a large audience, in person. These demos are often interactive, frequently eye-catching, and meant to both excite and educate. They include staffers available to walk attendees through a demo and to explain the complicated bits. A lot to accomplish in person; now even harder to move them entirely online!
Terry took the lead on making this all happen, working across 27 demos to oversee building, testing and deploying these projects to the NextOnAir site in time for the summer launch. Below we’ll talk through some lessons learned from that process, and some of what he built to accomplish this feat.
Each demo had a different Google team (or an agency) behind it, doing the coding and visual development. Each one their own application, using whatever frontend framework that team is most comfortable with, or best fits the use case. The teams had a lot of flexibility in making their choice: in the end they just needed to deliver a web app that we would host. All demos were served by App Engine, which we chose because it is easy to use, scales up and down quickly, and provides built-in security.
Next we head to implementation, where the developer team works to create what the designers envisioned. Here’s our first challenge, on the Google side:
1. How do we get code from the agencies?
In the past all demos focused on delivering a working demo for the event show floor. Formatting and communication could take any form imaginable: an emailed .zip file, a Github repo, a Drive folder, a carrier pigeon. We knew that wouldn’t scale. So Terry set up an individual Github repo for each demo for the agencies to push code to, allowing a single control plane (and logging system) to manage all the demo code. Already a major improvement, and much simpler to manage.
Additionally, now that every demo is going through Github, we can use some existing Continuous Integration / Continuous Deployment (CICD) tools to automate. Without automation every step of the way Terry would have to manually push each build or each demo to get them published. Not a fun manual chore..
Okay, next up, making changes:
2. How do we update these demos in production when code changes?
Lucky for us we have strong integrations between Cloud Build and Github, so we can trigger a new build each time the master branch is updated in Github (by the team making that demo). We can even automate deploying that new build to App Engine to speed things up.
All code hosted by Google is required to pass through rigorous security and privacy reviews. This is true in all cases but even more important when the code is created by a third party. However these projects frequently require multiple last minute, urgent updates in response to stakeholder requests.
3. How do we control deployment so only reviewed code is pushed?
In most cases, third party code has to be pushed to Google hosted sites by a Google employee, so Terry had to be a bottleneck there. With Github tools, he could prevent unapproved merging of pull requests, set himself up as the required reviewer, then approve the code to trigger a push to the production version of the App Engine apps, so nothing would get into production without his express authorization.
With this system in place Terry was able to manage a rapid flurry of updates as the deadlines approached, even if all he had was his phone! But with so much happening simultaneously, there’s still another challenge:
4. How do we keep these systems moving forward consistently?
For that Terry made scripts. So many scripts! He used scripts to activate individual services and service accounts. To bind Cloud Build as an App Engine admin for each project. To perform initial git commits before sharing to Github. To add functionality to Cloud Build pipelines so they could report on whether or not the builds succeeded.
What about securing all these projects and apps?
A script to set up Identity-Aware Proxy for each project, to restrict access to the applications. On the Github side, adding people to each repo and locking down the master branch – Scripts!
We’ll use this to set up the default project and get Cloud Build going.
[Set the gcloud default project and to kick off a Cloud Build session. ]
And here we establish some essential APIs we need to use, add some access policy for security, and start the GitHub project with an initial commit.
[Spin up the APIs we need to run these demos, and initialize the GitHub project]
Next we need to get our email tool so Terry can find out when a build completes, or has an error.
[Deploy our mail-sending tool in a Cloud Function, to notify on build completion or problems]
And we’re going to add Identity-Aware Proxy for controlling web-app access to only the right people, since we don’t want a publicly available IP just yet.
[Set up and tear down IAP so only our organization’s logged in people can look at these apps]
Finally we get the directories established, with our template to save time on manual file creation.
[Script to set up project directories, and copy a template in]
And then once it’s all flowing:
5. How do I keep track of all this work?
Guess what? It’s more scripts. And notifications. Terry made scripts to collect stats on the whole thing, so we know there were 281 commits, 312 code reviews, and 27 demos launched. Setting up the right set of notifications allowed a rapid response time when new code got pushed, and allowed Terry to keep the turnaround tight. When rapidly collaborating with these outside partners that speed becomes critical. These projects averaged 5 minutes from code approval to application pushed out to production. And if the new code push fails, a notification from Cloud Build tells Terry and the development team what went wrong.
This project brought together many moving parts, many access and authorization challenges, and a tricky form of remote collaboration, but with some clever process design (and a ton of scripting) Terry got it all launched in time for our big show. Congratulations!
Related Google News:
- New this month: Data lakes, speed at scale, and SAP data May 6, 2021
- Game theory as an engine for large-scale data analysis May 6, 2021
- What you can learn in our Q2 2021 Google Cloud Security Talks on May 12th May 5, 2021
- The modern web architecture jigsaw puzzle, made easy for you April 29, 2021
- Using TFX inference with Dataflow for large scale ML inference patterns April 29, 2021
- 4 simple steps to make the perfect spreadsheet to power your no-code app April 29, 2021
- How we fought Search spam on Google in 2020 April 29, 2021
- Google’s research & data insights solution makes next-generation research accessible April 28, 2021