This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
CrashGuard.io
Canary-oriented workflow monitoring
Crashguard is a self-hosted (LGPL3) canary-oriented monitoring system for asynchronous workflows — background jobs, cross-service pipelines, anything where "it should finish by X" matters more than any single log line. The model is simple: start a canary when a workflow kicks off, resolve it when the workflow finishes. If the canary doesn't resolve before its deadline, Crashguard fires an alert immediately — no log scraping, no complex alerting rules. Also comes with a stream deck XL+ plugin.
Top comment
So I had a need to monitor some asynchronous cross-system workflows and got worn out doing this with OpenTelemetry and log analysis so I built a dedicated system for doing this - it works great for me so I thought it would be fun to make OSS and share. Crashguard is a self-hosted (LGPL3) canary-oriented monitoring system for workflows that don't run on a clock you control — background jobs, cross-service pipelines, anything where "it should finish by X" matters more than any single log line. The model is deliberately simple: start a canary when a workflow kicks off, resolve it when the workflow finishes. If the canary doesn't resolve before its deadline, Crashguard fires an alert immediately — no log scraping, no complex alerting rules. A few things that differentiate it from "just set up a healthcheck": - Custom verifiers — resolution doesn't have to mean "trust the caller." Attach a verifier URL to a canary type and Crashguard calls out to your own logic before accepting a resolve (did the payment actually clear for the right amount, did the file land where expected, etc). - Conditional alert routing — rules evaluate against the metadata attached when a canary was created, so a high-value issue can go to PagerDuty while a lesser one just gets a Slack message, with no separate config to keep in sync. - One canary per workflow instance — just reuse your own ID (order ID, job ID, etc.) as the reference, no tracing infrastructure to stand up. - SDKs for C#, Go, and Rust, talking to a single self-hosted engine backed by SQLite. Runs as a single Docker image with an Admin App and Engine bundled together. - Stream Deck XL+ integration — monitor canary status and drill into related details right from the deck, push a button to jump to the appropriate page in the admin portal. Note: I haven't gotten the Stream Deck plugin published to the Elgato marketplace yet, but it's easy enough to build and side load from source, with instructions on how to do that on the site. Note 2: Only the Slack, Email, and Webhook connectors work right now, but it's easy to add new ones. I'd love to hear any feedback, suggestions or advice!
About CrashGuard.io on Product Hunt
“Canary-oriented workflow monitoring”
CrashGuard.io was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #120 on the daily leaderboard. Crashguard is a self-hosted (LGPL3) canary-oriented monitoring system for asynchronous workflows — background jobs, cross-service pipelines, anything where "it should finish by X" matters more than any single log line. The model is simple: start a canary when a workflow kicks off, resolve it when the workflow finishes. If the canary doesn't resolve before its deadline, Crashguard fires an alert immediately — no log scraping, no complex alerting rules. Also comes with a stream deck XL+ plugin.
On the analytics side, CrashGuard.io competes within Developer Tools, GitHub and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how CrashGuard.io performed against the three products that launched closest to it on the same day.
Who hunted CrashGuard.io?
CrashGuard.io was hunted by RC. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of CrashGuard.io including community comment highlights and product details, visit the product overview.