River is SOC 2 Type II compliant
River has successfully completed its SOC 2 observation period and now meets all criteria for SOC 2 Type II security compliance. Enterprise rejoice!
Blog
Announcements, engineering posts, and other news from the River team. Available as an Atom feed .
Brandur Leach The evolution of background job frameworks in Ruby
Ruby's long succession of async job frameworks, and tracing the Heroku API's transition from one to the next over the years.
Dependabot + private Go proxies: how they work and why it matters
GitHub's Dependabot can now work with private Go proxies/registries. But how do Go proxies even work? Learn how they function, how to configure them for private modules, and why ordering matters.
Blake Gentry River on Rails: Pushing select, performance sensitive tasks from Ruby to Go
Building an application in Ruby on Rails that offloads its most performance and parallel-sensitive tasks to Go via River background job. Combine the concise syntax and quick iteration of Ruby with the overwhelming runtime speed of Go.
SQLite for River, durable periodic jobs and database/sql for River Pro, better performance for all
Benchmark throughput increased 15-20% with optimized queries, and major performance improvements for River Pro Sequences and Concurrency Limits. River gets a SQLite driver preview. New features for River Pro: durable periodic jobs and a database/sql driver. ✨
River UI job filters, schema support, lib/pq compatibility, and more
A look at the new job list filters and job logs in River UI, as well as many other recent River improvements.
Defense in depth with encrypted jobs
Using encrypted jobs and NaCL Secretbox to add a layer of security protecting data even in the worst case scenario of widespread database exfiltration.
Designing River's hooks and middleware for change resistance and future extensibility
River's addition of middleware and hooks, the difference between a middleware and hook, interface oriented design, and how they set the project up for sustainable, forward compatible evolution.
Precision concurrency control with River Pro
River Pro now supports global concurrency limits to precisely control how many jobs can run concurrently across your infrastructure, complete with granular partitioning and operational control through River UI.
Building an idempotent email API with River unique jobs
Using unique jobs in River to build an email API that takes an idempotency key so that even in the event a request needs to be retried, it never sends a duplicate email.
Measuring River with OpenTelemetry
Using River's new OpenTelemetry package to maximize insight into production stacks.
New Pro feature: Sequences
River Pro gains a new feature: Sequences. Execute a series of jobs in a guaranteed one-at-a-time sequential order.
River UI as a packaged Go module
Using a module packaging setup derived from River Pro, River UI now ships with bundled static assets to enable easy embedding as an http.Handler.
Launching workflows and River Pro
Defining complex job graphs as workflows, the first supported feature of River Pro.
A `database/sql` escape hatch for broader ecosystem interoperability
Using River's new expanded `riverdatabaseql` driver for compatibility with `database/sql` to share transactions with third party ORMs like Bun and GORM.
River Python: Insert in Python, work in Go
Python joins Ruby as River's second officially supported language supporting cross-language insertions. The riverqueue package is available on PyPI, which inserts jobs from a Python program so that they can be worked over in Go.
Announcing River UI
River UI is a self-hosted web interface for River, bringing powerful operational and development tooling to River users. It's freely available as a Docker image, a pre-built static binary, or for bundling into your own application.
Uniqueness with Postgres advisory locks and FNV hashing
How River guarantees job uniquess using transactions and advisory locks. How the FNV hash function gibes well with advisory lock keys and is built into Go.
River 2024: Stability, new APIs, and production readiness
Six months on from River's first release, we wanted to provide a few updates on progress and new features since then.
River 0.4.0: A few breaking changes
River 0.4.0's released, and it contains a few small breaking changes that've been batched together. A list of specific changes, upgrade guide, and a little rationale for why we thought they were justified.
Announcing River: Fast and reliable background jobs for Go
For the past several months, I’ve been working with Brandur to build the Postgres background job library that the Go ecosystem needs: it’s called River, and we’re launching it today in beta.