Durable execution — the pattern implemented by Temporal, Inngest, Rivet Actors, and now Cloudflare Workflows — treats waiting as a continuation rather than a loop:. - Source: dev.to / 5 days ago

Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal — Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / about 1 month ago

We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of – a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines – an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate – plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / about 2 months ago

The trick is to find whatever metadata channel the queue already gives you and use that and thankfully, almost every mature queue has one (probably because of this scenario). SQS has message attributes, Temporal has context propagators built into the SDK, and Hatchet (which we use to run our workflows) has a metadata field called additionalMetadata. - Source: dev.to / 3 months ago

A typical production stack for teams using Claude or Gemini as the reasoning layer includes an LLM provider API, an orchestration layer (n8n, Temporal, or a custom Python service), application infrastructure (a server running the orchestration code), and a data layer (a database for storing results). Each boundary introduces a failure point. When the LLM provider changes its rate limits, as OpenAI did repeatedly... - Source: dev.to / 4 months ago

Ruby (Installed using RVM, but you can use any other version manager, or compile yourself ruby). - Source: dev.to / over 1 year ago

I checked build logs and found that bundle install was not working the same as it did on my machine. I installed rvm, tried multiple versions of ruby, attempted to upgrade various gems. Nothing worked. - Source: dev.to / about 2 years ago

One suggestion would be to setup your install based on a development environment using git and a Ruby version manager like rvm or rbenv to allows you to setup a user controlled gemset and execution path. Source: about 3 years ago

For my local machine, I use RVM (head). Other options are rbenv and asdf. Source: about 3 years ago

You can use tools like rbenv(https://github.com/rbenv/rbenv) and rvm(https://rvm.io/) to be able install and easily switch between different ruby versions. Source: over 3 years ago