How Zoopla used DORA metrics to boost deployments, increase automation and more
Blog post from GitLab
Zoopla embarked on a journey to enhance its engineering department's performance through the adoption of DORA metrics, a set of key performance indicators derived from the research by the DevOps Research and Assessment group. These metrics include production deploy frequency, lead time, mean time to recover, change fail rate, and time to onboard, which collectively provide insights into the efficiency and quality of software delivery processes. By utilizing tools like GitLab, Blameless, and Jenkins to collect and visualize data, Zoopla successfully improved its deployment frequency from weekly to around 40 times per day, reduced lead time from 10 days to under two, and decreased the change failure rate from 60% to between 1-5%. The company also focused on cultural and procedural changes such as automating deployment pipelines, enhancing incident response, and standardizing infrastructure management with tools like Terraform. These efforts not only streamlined processes but also transformed the company culture, aligning with Zoopla's ambition to join elite performing organizations. Future plans include further automation of metrics collection and expanding the DORA framework as a cornerstone of their engineering strategy, supported by partnerships and ongoing training initiatives.
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