Most engineers don’t start a system by thinking “we need workflow orchestration”, but it’s kind of built by accident: a retry loop here, a webhook there, a cron job that calls three services in sequence.
You have your happy path that works fine at first… and then things start to break.
A service crashes mid-operation, your retry logic fires, but somehow it does not work. You have a partial failure and no way to know which state you’re actually in and no way to fully recover from a specific step. You are now debugging at 2:43 AM, manually triggering bash scripts and fixing things on the fly.
This is orchestration debt.
Why your current setup feels fragile
When you scatter ordering and failure handling across services, you’re implicitly encoding the logic across them, meaning each of them are making independent decisions about failures, but orchestration isn’t something you can solve piece by piece. When service A retries independently of service B, and service B’s timeout is shorter than service A’s, you create invisible failure modes that only surface under specific conditions. You may end up with:
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No visibility: is this workflow stuck or did it partially failed?
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Duplicate logic: every service reimplements retry, timeout, and compensation patterns
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Inconsistency: partial failures leave you with an inconsistent state and no way to audit (or at least it is very hard to)
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Operational toil: manual re-runs, script fixes, incident logging, etc.
So…where’s the cost?
The cost isn’t obvious at first. It’s measured in:
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Bugs that only happen under failure: your initial assumptions need to be re-evaluated, potentially the design of certain parts of your system; in the worst case scenario, all of it
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Scaling problems: retries from one failing service cascade through your system
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Backtracking: you now have to look into the logs to see if something actually executed
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Understanding of the system: only a few people in your team actually know where to look at
These costs adds up quietly until you’re spending more time maintaining orchestration logic than building features.
The alternative
A proper workflow engine (something like 
Charmed Temporal) handles this systematically: built-in retries, timeouts, and compensations; workflow state is visible and queryable; failures are handled consistently; and long-running processes are durable and resumable.
Charmed Temporal exists because this problem is real and common. If you’re reaching for cron jobs, webhooks, and manual re-run scripts more often than you’d like, you’ve already acknowledged the problem. This is the moment to think differently about orchestration.