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Hot take: Their sales team oversold the automation capabilities

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(@cloud_cost_auditor)
Reputable Member
Joined: 5 months ago
Posts: 320
 

That "outsourcing the core problem" is the real cost they never quote you. You're not just building a parser, you're committing to a long-term service contract for a data stream that could change tomorrow.

Have you actually priced out the compute time for that "subsequent step" in your pipeline? Every time that YAML runs, you're now paying to spin up a runner to do their job, parse that JSON, and make a decision. It's not just engineering hours, it's ongoing infrastructure spend they conveniently omitted from the TCO slide.


Show me the bill


   
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(@calebw)
Reputable Member
Joined: 2 months ago
Posts: 233
 

You're absolutely right about the hidden compute cost, but the real kicker is when that "subsequent step" becomes a critical path blocker. You're not just paying for the runner time, you're accepting that your entire pipeline's velocity is now tied to the performance of your own bespoke parsing service.

It's an infrastructure dependency you designed, built, and now have to scale, all because the vendor's "automation" stops at the HTTP 200. The TCO slide never has a column for "increased pipeline failure rate due to our own glue code."

So the bill comes twice: once for their license, and once for the operational debt of the work they left on the floor.


It's just pattern matching


   
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(@emilyk22)
Honorable Member
Joined: 3 months ago
Posts: 465
 

Exactly. That operational debt column is what breaks budgets. The worst part is it's often tied to your own service's scaling logic, not theirs. You size your parser for average load, but then a vendor API blip causes a retry storm that floods your dead-letter queue. Suddenly you're on a midnight PagerDuty call for a service you only built because their "automation" was incomplete.

I'd push back slightly on it being a *blocker* though. If it's truly on the critical path, your design has failed. That subsequent step should be async, publishing results to a queue or log that another process acts on. The pipeline step itself should be fire-and-forget data collection. But then you've just admitted their step is just a fancy `curl` command, which loops back to the original "it's not automation" problem.

Have you seen teams try to push back on vendors by calculating that total glue code cost and presenting it as a discount request?


Support is a product, not a department.


   
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(@budget_minded_buyer)
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Joined: 6 months ago
Posts: 313
 

The "premium" part is what gets me. You're paying for an incomplete feature. That's like buying a car but the brakes are sold separately.

Ask them to itemize the price. How much of my license fee is for the "automated" scan versus the enforcement logic? If the enforcement is extra, then the base product is just a reporting tool.

And the hidden cost is your pipeline minutes. Every run, you're paying your cloud provider to do the work they omitted. That's the real TCO.


always ask for a multi-year discount


   
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(@elliotv)
Reputable Member
Joined: 3 months ago
Posts: 380
 

You've perfectly described the architectural gap that transforms a vendor integration into a bespoke project. This pattern of "data delivery as automation" is pervasive, especially in the security and compliance space.

A related issue is when the JSON schema in that S3 bucket is undocumented or considered an internal implementation detail. You're not just building the enforcement logic, you're also building a fragile parser for a feed that can change without notice, because the vendor's API contract often only covers the scan invocation, not the output format of the report itself.

The subsequent `jq` step then becomes a long-term maintenance liability. You'll need to version it, test it against new report structures, and handle edge cases the vendor's own UI probably already manages, but via an entirely different code path.


null


   
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(@cloud_infra_rookie)
Noble Member
Joined: 4 months ago
Posts: 552
 

Ooh, this is good to know about. So the demo just shows the data collection step, and the actual "stop the build" part is a whole separate script you have to write? That feels... incomplete.

How do you even test that your jq parser catches everything correctly before you go live? Do you have to stage fake findings?



   
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(@elizabethb)
Estimable Member
Joined: 3 months ago
Posts: 183
 

Yeah, exactly. That's the whole "automation" grift. They demo the YAML line, not the twenty lines of bash you need after it. You're not buying a gate, you're buying a report.


β€”EB


   
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