Loading
Establishing secure connection...
Establishing secure connection...
The infrastructure behind training state-of-the-art language models.

“The unique architecture provided the perfect balance of affordable, massive-scale storage and on-demand, high-performance compute for our AI training workloads.”
DEV needs no introduction. For millions of developers getting started with programming, dev.to is their town square. With over 3 million registered users, ~500k daily pageviews, and 500+ new community articles and discussions published daily, the DEV community serves a global audience with tutorials, product announcements, in-depth technical discussions, career advice, and more . Behind the scenes, this means handling a constantly growing database workload with user accounts, reactions, comments, page views, editorial tools, and partner integrations. For years, the backbone of this operation was Heroku Postgres, a reliable choice that served the platform well in its early days. But as DEV's scale and complexity grew, the team began to encounter the inherent limitations of a traditional, provisioned database architecture.
Heroku Postgres was a solid foundation, but its scaling model was rigid. The DEV team had to provision for peak traffic, which meant paying for unused capacity during off-hours. Scaling up or down was a manual, high-stakes process that often required downtime or, at a minimum, a stressful maintenance window. This rigidity translated into several key pain points:
The DEV team started looking for a new Postgres provider that could support their scale and align with their developer-centric ethos. Their criteria were clear: they needed a solution that offered true elasticity, a better developer experience, and a more predictable cost model. They evaluated several managed Postgres providers, but Neon stood out immediately for its unique serverless architecture. The immediate win was how Neon eliminated the need to provision. There are no instance sizes to choose from. Instead, CPU, memory, and I/O scale up and down with actual usage, even scaling to zero when inactive. This was the answer to the overprovisioning problem.
Beyond autoscaling, it was Neon's developer-focused features that sealed the deal. Neon is built on the principle that databases should be as easy to work with as code.
One of the most transformative features for the DEV team was Neon's database branching. Similar to Git branching, they could now create instant, copy-on-write clones of their production database for any purpose. This opened up a world of possibilities for their development workflow.
As a platform with a powerful API of its own, the DEV team appreciated Neon's API-first approach. Every feature, from creating a new database to branching, is available via a simple API call. This allowed them to integrate database management directly into their CI/CD pipelines and internal tooling, further automating their operations.
The migration from Heroku to Neon was completed with minimal downtime. The results were immediate and impactful. The DEV team saw a 40% reduction in their monthly database costs, primarily due to Neon's scale-to-zero capability. More importantly, developer velocity increased. The time spent on database maintenance dropped to nearly zero, freeing up the engineering team to focus entirely on building a better platform for millions of developers.
For DEV, moving to Neon was more than just a technical upgrade; it was a strategic decision to partner with a company that shares their core values. They didn't just find a better database; they found a platform built for the way modern developers work.


Aarush Verman


Nina Khatri


Ritik Sharma