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Series: How to prioritize compliance (without losing development speed), part 3

Welcome back. In this series (based on my Summit 2019 talk), I’ve been talking about the process we went through to turn Atlassian’s 3600-audit tests into a single test while also increasing our compliance. You can see the past two portions of the series here:

Part 1: The difference between compliance and risk management

Part 2: Planning for compliance

Today, I’d like to continue by talking about where our compliance process landed and the results of that change.

Our new speedy compliance process

When the planning stages were over, we implemented a new process that focused heavily on peer reviews and automated compliance checks to meet our own significant compliance obligations as a public company operating worldwide, include SOX, PCI, SOC, and GDPR.

Screen Shot 2019-05-23 at 8.24.51 AM.png

Here’s the process that keeps us compliant:

Peer review via BitBucket

All Atlassian code is stored in BitBucket. When a developer wants to make a change, they check the code out of BitBucket and onto their laptop. When they check it back into the BitBucket repository, instead of updating the code, the system is set up to require peer review. Only after that review is done and approved is the code pulled back into the repository.

And if the code isn’t approved? It gets sent back to the original developer with the peer reviewer’s notes. They fix what’s wrong and submit it for another peer review.

This process is automated and it’s an out-of-the-box feature of BitBucket, so any team can take advantage of it as soon as they start using the software.

Screen Shot 2019-05-23 at 8.26.23 AM.png

Why peer review?

Most compliance processes involve a compliance board. At Atlassian, we vetoed that option—and hard. Because the truth is that most boards don’t have the in-depth knowledge of code that the developers do. And how can you vet code if you don’t understand it?

Setting up a peer review process where developers who understand the code are checking each other’s work simply made more sense both in terms of compliance and agility.

Compliance tests via Bamboo

Once the code in BitBucket is ready, we use Bamboo to build, test, and deploy. Bamboo is set up to check if compliance settings are turned on in BitBucket. If so, it starts the build. If not, it stops in its tracks.

This means that if someone turns off compliance in BitBucket, Bamboo will never push our non-compliant code into a build.

Cryptographic compliance signatures

When Bamboo does the build, it builds the service that’s going to run in production and cryptographically signs that service to confirm that it has come from the right environment.

And if someone changes it? It loses the signature.

Because our production environment only runs signed artifacts, this ensures that nobody can shortcut the process and skip the compliance measures. If it’s not signed, it won’t run. Period.

Screen Shot 2019-05-23 at 8.26.11 AM.png

Compliance in the Cloud

If you know Atlassian, you also know that we’re committed to being a Cloud-first business. Because the Cloud sets you free from maintenance hassles, frees you up to focus on your customers, and lowers costs so that mid-sized businesses can compete with large organizations.

So, how does the Cloud do with complex compliance processes? The answer is that we’re on the Cloud, so all of the above faster, better compliance process is done on the Cloud. That’s how much we trust the privacy and security we’ve built into our Cloud products.

So, can compliance and agility live in harmony?

What did this all these process changes mean for Atlassian’s speed and compliance?

Watch for the final piece in this series for a breakdown of our results.

Now, to you: What does your compliance process look like? Have you gone through a similar shift (or in a completely different direction)? What were the results?



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