Built to survive failure.
Real integrations fail: an API blips, a rate limit hits, a record is malformed. Spojit retries transient failures with backoff, respects rate limits, and routes the ones that still fail to an error branch you control, so nothing breaks silently.
Attempt 1Attempt 2Attempt 3What happens when a step fails
A step fails
An API returns an error, times out, or hits a rate limit partway through a run.
Spojit retries with backoff
Transient failures are retried automatically with exponential backoff, no extra config needed.
Or it carries on, your call
If it still fails, you decide what happens: stop the run there, or let it continue and handle the failure further down the canvas.
Recovery handled for you
Automatic retries
Transient failures are retried for you, so a momentary blip never sinks a whole run.
Exponential backoff
Each retry waits a little longer, giving a struggling service room to recover instead of piling on.
Rate-limit aware
Execution respects every upstream API limit and back-pressure signal, so you do not get throttled.
Carry on instead of collapsing
Choose per step whether a failure stops the run or lets it continue, then branch on the result with a condition to take a fallback, clean up, or tell someone.
Fallbacks and defaults
Supply a safe default when a step cannot complete, so the rest of the workflow keeps moving.
Tell the right people yourself
Let a step continue on failure, then add an email step on that path so the person who needs to know hears about it, with the detail you choose rather than a fixed alert template.
Where error handling earns its keep
Survive a flaky API
Retry a temperamental endpoint automatically instead of babysitting failed runs by hand.
Handle a rate limit
Back off and retry when an API returns 429, so large batches finish without manual reruns.
Route failures to a human
Send the records that could not be processed to someone to review, not into a void.
Alert on repeated failures
Notify the right channel when something keeps failing, so issues surface before customers notice.
Automatic recovery vs hand-rolled try/catch
Resilience is built into the runtime, instead of being something you remember to wire up in every workflow.
Let the platform handle it when
- You want transient failures retried automatically
- You need a clear path for the ones that still fail
- You want to be told when something breaks
Hand-rolled error handling means
- Retry and backoff logic copied into every workflow
- Failures that slip by unnoticed until someone complains
- No consistent place to handle the ones that fail
Jeder Lauf, mit denselben Garantien
Build workflows that survive failure
Start free and ship a workflow with automatic retries and an error branch, no extra plumbing. No card needed.