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Fast and effective DevOps teams use internal developer platforms, but does platform engineering actually make organizations perform better? Humanitec’s 2023 DevOps study provides new data, that with the right context can provide some clarity into the relatively new world of platform engineering.
According to the study, just 16% said that developer self-service is enabled by internal platform tooling like an internal developer platform (IDP) that a platform team builds for the rest of the organization. Half of the top or high-performing organizations in the study had something like an IDP, compared to 3% among all other organizations. According to the study, these organizations have the following practices in place:
The researchers surveyed 1,053 teams around the globe, of which 19% were in DevOps, site reliability engineering, or platform engineering roles; another 29% identified as engineers or developers. The answers were scored again the four DORA metrics (deployment frequency, change lead time, change failure rate, and service production restoration time) to create four segments (top, high, medium and low performing).
Just 6% fell into the top-performing segment; 20% are high performing, while the remaining fall into the medium- (44%) or low-performing (30%) groups.
Yet, both the latest State of DevOps reports from both Perforce's Puppet and Google's DevOps team found that breaking out an elite or "top" group was not justified, based on a statistical method called cluster analysis. To help you better benchmark your organization versus your peers, we recalculated Humanitec's findings to focus on what a combined top- and high-performing segment looks like.
Humanitec's questionnaire appears to have unintentionally conflated self-service developer platforms, and the ability of DevOps teams to build a Platform as a Service (PaaS) replacement. This makes it difficult for us to know exactly what the impact of an IDP is on software delivery performance metrics.
If you take the results at face value, then most organizations are struggling because they have only superficially embraced a DevOps culture. Yet, when we look at specific characteristics, we see a dramatic difference between the top/high-performing organizations and everyone else, mostly centered on developer time.
There is a strong correlation between developer self-serve platforms and DORA performance because there is a wide variation in development frequency and lead time needed to make changes. The immediacy of the ability to make changes is correlated with all four of the DORA metrics, but in particular "lead time" from making a commit to deploying that into production.
While the meantime restoring an application to its previous state may improve because of this type of platform engineering, the jury is still out on whether or not it dramatically decreases the rate in which changes fail.