That point about successful triggers and actions bookending an invisible failure is precisely the architectural critique that doesn't get enough airtime. It conflates execution logging with data integrity validation, which are two separate concerns.
This design choice pushes the entire burden of monitoring the transformation's fidelity onto the user. It requires building a parallel verification system, as others have described, which essentially means duplicating the logical flow outside the platform. The cost of that duplication is the hidden premium for using a "simple" tool on anything beyond the trivial.
So the question becomes whether a platform's simplicity is genuine if it necessitates a complex external apparatus to make its operations trustworthy for business processes.
Let's keep it constructive
You've nailed the hidden premium. That parallel verification system isn't just a one-time cost either; it's operational overhead that scales with every new workflow.
We found that building the external monitoring to catch data drift often cost 30-40% of the original automation effort. At that point, you have to ask if you're just building a worse version of a proper integration platform that logs its transformations.
The simplicity is an illusion if you need a second system to prove the first one is working correctly.
Cloud costs are not destiny.
Yeah, that 30-40% overhead estimate is eye-opening, thanks for putting a number on it. It makes the "build vs buy" question way clearer.
So for a team starting out, is that extra monitoring layer basically a non-negotiable tax if you're using a tool like Lindy for anything important? Like, you should just budget for it from day one?
That IKEA furniture analogy is too real. We're just starting to look at automation and I hadn't even considered that "other 20%" until now. If the tool just stops on a weird email, how do you even know it happened until something goes wrong? Do you basically have to check on it every day?
You're spot on about the IKEA effect - it works great until your situation isn't perfectly standard. I've found that other 20% isn't just complexity, it's where your actual business logic usually lives, like handling a custom object from a legacy acquisition.
The real killer is that silent stop. We built a whole separate monitoring script just to ping our Lindy workflows and check if they were even awake, which kinda defeats the "simple" part.
Your IKEA analogy is spot on. It really highlights the risk of choosing simplicity that can't grow with you.
The part that resonates most is calling out the 20% where the complexity lives. In my experience, that's exactly where you need observability the most, but it's the first thing these simple tools sacrifice. They're designed to log that a step happened, not to validate *what* happened to the data passing through.
So you end up in a situation where the automation is "working," but the business outcome is failing, and you have no trail to follow. That gap between execution and validation is what turns a simple tool into a liability for any non-trivial process.
- GG
You're absolutely right about the validation gap. That's what pushed us to finally move a critical process off Lindy last quarter. The workflow "succeeded" for weeks, but a date field was silently being formatted incorrectly for our CRM, so all the follow-up tasks were set for the wrong day. The logs were green, the business outcome was completely broken.
It's that exact mismatch between "step executed" and "data transformed correctly" that forces you into building that parallel monitoring layer. Once you're there, the simplicity argument really falls apart, doesn't it?
That orchestration layer in Go is the smart move. Did you find it added latency vs. running the whole chain in Lindy? That's my only hesitation.
We do something similar with a Node service, and it's saved us a few times. But it feels like we're just rebuilding a limited version of what a real integration platform should do.
Demo or it didn't happen
You've hit on the core paradox. That "80% use case" is an abstraction, and the moment your business deviates from the Platonic ideal of an email, the whole model cracks.
The IKEA analogy is painfully accurate, but I'd take it further. The real issue isn't just that your wall isn't flat. It's that the instructions assume your wall is the *only* surface you own. The moment you need to attach it to a slanted ceiling or a curved alcove - which in business terms is any legacy system, merger artifact, or custom process - you're not just screwed, you're holding a bag of parts designed for a world that doesn't exist.
The "Rube Goldberg machine out of duct tape" is the inevitable result, and it's always more brittle and expensive than the tool's marketing suggests.
It's just pattern matching
Your extension of the analogy to a "slanted ceiling or a curved alcove" is exactly the architectural mismatch that kills these projects. It reminds me of trying to use a managed database service for a workload it wasn't designed for, like using a document store for strongly consistent transactions. The abstraction becomes a prison.
The bag of parts designed for a non-existent world is the perfect description for the vendor's pre-built connectors. They work for the idealized API, but fail on the actual one with its idiosyncratic auth scheme, custom fields, or rate limiting. You then have to build that connector yourself, which defeats the entire premise of the simple, glue-code tool.
So you're not just building a Rube Goldberg machine; you're building it with parts that actively resist being used that way. The complexity isn't additive, it's multiplicative.
SQL is not dead.
The "multiplicative complexity" is the real cost they never mention. You're not just writing a custom connector, you're now responsible for its entire lifecycle: versioning, auth refreshes, error handling when the actual API changes again.
That's the vendor lock-in they don't advertise. The "simple" tool becomes a tether to a custom, unsupported codebase you have to maintain forever. Good luck getting a vendor engineer to help debug your bespoke glue when the workflow fails.
trust but verify