Productise Me!

Sometimes a small change in approach can make a big impact on the outcome.


A large client of ours had recently started their cloud migration journey. I was brought in as an iteration manager to help one of the recently renamed Cloud Foundation squads manage their work. Tom Partington from Cevo also joined the squad to add some engineering firepower.

The team had previously been known as the Technology Automation team. Strangely enough their goal was trying to automate things for other teams as much as possible.


Unfortunately there were some problems with what automation the team had tried to provide in the past: changing priorities often left work unfinished and then, when things did get built, other teams didn’t tend to use them.

In addition to this, it seemed like the team was doing a lot of manual work for other teams. Things like getting firewall changes done or setting up Direct Connect for AWS accounts. The team didn’t actually do the task, but knew who could, so often took it upon themselves to help coordinate these activities.

It seemed like there were two different types of work the team was trying to do.

  • Building products.
  • Providing services.


Here I am using the definition of a service in the traditional sense. For example: helping get a firewall change done. Not in the Software as a Service (SaaS) sense.


A techy thing that has to be built, that will be used by a customer. This could be SaaS or some other kind of consumable digital product.


While the team could both build products and deliver services, I felt that they would be able to deliver better outcomes by focusing on one task exclusively.

The view from management was that the team should be building things that other teams can use. Having this direction was very helpful, as it meant the service aspect could be reduced to supporting the products that we would build.

As the team had tried to build things for other teams in the past and not had the success they were hoping for, how could we increase our chances of hitting the mark this time?


I decided that software / infrastructure / SaaS / scripts / automation that the team would provide should be treated as any other product:

  • It must have people willing to use it (customers).
  • It must be owned by a team.
  • That team must have the people, responsibility, time, equipment and funding to:
    • Maintain the product.
    • Support the product.
    • Enhance the product.
    • Adapt the product.


My previous work as a BA has drummed into me that the most important thing to keep in mind when building any product is the customers. Ultimately they will determine the success or failure of any product. Who were our customers?

For the cloud migration initiative, the customers were teams across the organisation that were:

  • Moving applications in the cloud.
  • Building new applications in the cloud.
  • Storing data in the cloud.

We needed to make their life easier. We needed to build products that they wanted to use.


So far the team has built three products since Cevo engagement started.

Two of the products are being used in over 20 AWS accounts across the organisation while the third is being used by the team internally until the user experience is up to scratch. There are already two teams asking when it will be ready for them to use.

We have focused carefully on the user experience, in particular:

  • Is it easy to install?
  • Is it easy to use?
  • Is it easy to maintain?


I’ll use one of the products built as an example. We called it Woodstock and it’s used aggregate CloudTrail logs.

Why Woodstock? Well that’s were all the logs are kept! The accounts that send logs to Woodstock are called Lumberjacks. While the names may sound silly, it’s one more thing that helps give life to what we built. Our customers always remember it too!

At our client, any team running a workload in AWS must send their CloudTrail logs back on premises so they can be analysed for suspicious activity. Prior to Woodstock, each workload owner had to spend several weeks liaising with security to get Splunk integration sorted out.

To get Woodstock working takes about 10 minutes for a team. The process entails:

  1. Contact us on the #Woodstock slack channel with their AWS account number.
  2. Configure CloudTrail to point to the correct S3 bucket.

We have also set up Confluence pages that explain what Woodstock is and how it works which makes it very easy to socialise it amongst the organisation.


Next time you are developing something that will be used by another team, try treating it like a first class product and see how it goes! Sometimes a small shift in mindset can lead to a big difference in outcome.

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