Graphite Reviews

Temporal Reviews

Graphite mentions (16)

• Cursor Acquires Graphite

  Startups should check the internet before naming them after tools like Graphite for monitoring https://graphiteapp.org/. - Source: Hacker News / 7 months ago

• Cursor Acquires Graphite

  Heh, I read Graphite as the monitoring tool[1] and was very confused for a second what they want with that old thing. 1: https://graphiteapp.org/. - Source: Hacker News / 7 months ago

• The Database Zoo: Time Series Databases

  Graphite: Focused on simple metrics collection and visualization, widely used in DevOps monitoring. - Source: dev.to / 10 months ago

• 11 Most Popular Tools for Logging and Monitoring API Calls

  Graphite is an open source monitoring and logging system that utilizes a push-based design architecture. What this means is that Graphite allows services to push their API logs into a component called Graphite Carbon, which is then stored in a database for later deep introspection and transformation. Prometheus, another open-source monitoring toolkit designed for cloud-native applications, is often used alongside... - Source: dev.to / over 1 year ago

• Graphite: Node-based, non-destructive, procedural 2D vector editor

  Not to be confused with: https://graphiteapp.org/ (Time Series DB) https://graphite.dev/ (Code review suite). - Source: Hacker News / over 1 year ago

Temporal mentions (15)

• Compiler as Custodian

  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 / 20 days ago

• How we turned our workflow editor into a real SDK

  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 1 month ago

• Three days debugging a missing trace

  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

• Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership

  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 / 3 months ago

• 50 Lines of TypeScript to Automate Any Website with AI

  The core is a browserclaw agent loop wrapped in a Temporal workflow. The AI navigates to your provider's payment page, identifies form fields from the snapshot, fills in your payment details, and submits. Every successful payment generates a "biller skill" — a playbook that makes subsequent payments to the same provider faster and more reliable. - Source: dev.to / 4 months ago