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Over 3 Billion Actions per Week: A Year Inside the World's Largest Bazel Fleet

The EngFlow fleet just crossed 3.5 billion actions processed per week. Fourteen months ago, that number was 250 million. That's roughly 14x growth in 14 months.

This isn't a vanity metric. It's a signal of the developer efficiency our platform enables, and of the scale at which we now operate, managing some of the world's most complex and demanding platform engineering workflows for enterprises including ARM, Asana, Block, BMW, Canva, Databricks, Plaid, and Zoox.

14x growth in build actions

14x growth in 14 months in build actions per week across the EngFlow fleet.

Four War Stories and a Demo: Seattle Build Meetup 2026

Waleed Khan from Stripe presents in Seattle at Uber’s offices

On July 28, 2026, Uber and EngFlow co-hosted a Build Meetup at Uber’s Seattle office. This wouldn’t have been possible without the help of Sergey Balabanov at Uber, who not only presented one of the talks, but also energetically arranged and helped support this event from the Uber side. Thanks again, Sergey!

And, even though nobody planned a theme for this particular meetup (our meetups are holistically focused on “Build, Scale, Investigate”), one showed up anyway. Code is getting cheaper to produce. Uber put it flatly: “AI is a problem, apparently.” Every talk examined some part of the machinery that turns abundant code into software you can trust. Let’s take a look!

From Prototype to Production: The EngFlow Build Analytics Journey

Every build tells a story. Which targets took the longest? Where did cache misses cost you minutes? Who triggered the invocation, and what source changes drove it? At EngFlow, we believe that surfacing these answers — automatically and at scale — transforms build optimization from reactive firefighting into proactive engineering. Today, we're sharing how our build analytics platform evolved from early prototypes to a production-grade system providing tangible value to our customers.

Iterable cuts P90 build time from 42 minutes to 17 minutes with EngFlow

By migrating its Scala backend from sbt to Bazel with EngFlow and VirtusLab, Iterable created a faster, more reliable build foundation for AI-era engineering velocity.

42 → 17 minutes
P90 build time

~3 minutes
Common build time for smaller changes

~97%
Integration-test pass rate on master, up from the 70s

Iterable is an AI customer engagement platform trusted by global brands to create personalized experiences across every channel. Behind the platform is a distributed engineering organization building and operating a large, complex software estate.

For Iterable’s Developer Platform team, the mission is straightforward: help developers release software faster, with greater reliability and safety.

Democratizing Build Scalability: Eugene Yokota on Bringing Bazel Features to sbt 2.0

In this interview, Eugene Yokota—a software build expert who spent years maintaining Scala's sbt tool at Lightbend before working with hyperscaled Bazel monorepos at Twitter and Netflix—details his multi-year project to build a Bazel-compatible remote caching system into the newly released sbt 2.0. He explores the mechanics and benefits of Bazel, such as its robust remote caching and test cycle speed, and highlights how these modern, scalable build tools can eliminate CI bottlenecks for growing teams while protecting toolchain security.

The Burst Demand Crisis

I spend a lot of time with engineering leaders and developer infrastructure teams. Over the past six months, a pattern has been emerging: build queues are experiencing demand in bursts, not waves.

Last week alone, conversations in Sydney, Chicago, Los Angeles, and San Francisco all surfaced the same story:

  • Sunday: A customer running EngFlow Bazel RBE at 100,000+ cores wants to triple capacity over the next year. PR volume is surging with no sign of slowing.
  • Monday: Prospective customer's CI queue is in crisis. Engineering attention diverted from product work. First-time inquiry about RBE.
  • Tuesday: Existing customer tried sharding load across more CI workers. Result: higher cloud costs, same bottleneck. Needs help making workloads RBE-compatible.
  • Thursday: A large enterprise customer skipped our customer dinner - they were occupied with urgent internal testing, preparing to double their RBE load.
  • Friday: Reviewed load planning with a customer preparing for an AI generation hackathon - forecasting what their infrastructure must absorb in the coming months.
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  • 4 min read

EngFlow 2025 Year End Wrap

Celebrating our team and customers

Celebrating our team and customer success around the world.

2025 was a year of resilience, achieving multiple key financial milestones, record-breaking momentum, and exponential growth. EngFlow overcame significant personal and professional challenges to solidify its position as the market leader in Build Management at Scale. Today, we power the world’s most complex workloads for innovators like Arm, Asana, BMW, Canva, Databricks, Lyft, Plaid, Perplexity, Snap and Zoox.

EngFlow at BazelCon 2025

The EngFlow team recently wrapped up a successful BazelCon 2025, which marked a significant milestone: the 10th anniversary of Bazel! Seeing the energy and innovation at the conference was especially meaningful for us, as several of us have been involved in BazelCon since its inception, both as organizers and attendees. We're reflecting on the immense growth the community has achieved in the last decade and how it spearheads developer productivity across the world.

EngFlow was a platinum sponsor of the main conference, facilitated several workshops on Training Day, and co-hosted a fun Game Night with JetBrains and VirtusLab. We loved seeing and hearing from many of our customers in-person at BazelCon, as Happy Customers are at the heart of what we do!

This blog brings you highlights from the conference and satellite events.

The EngFlow team at BazelCon 2025

The EngFlow team at BazelCon 2025
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  • 3 min read

Enhanced Invocation-level Insights for Bazel Builds

In recent weeks, we’ve added several powerful enhancements to EngFlow’s Build and Test UI to bring you deeper invocation-level insights. These improvements make it easier than ever to identify and diagnose slow or cache-inefficient actions, enabling you to optimize faster and get the most out of your Remote Execution setup.