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How Airties migrated from ArcSight to Elastic and cut investigation times from hours to seconds
Originally from elastic.co/blog/feed
October 20, 2025 • Roasted by Patricia "Penny Pincher" Goldman Read Original Article

Well, isn't this just a delightful piece of marketing collateral. I must thank the team at Elastic for publishing this case study. It’s a wonderfully efficient way to remind me why my default answer to any new platform proposal is a firm, soul-crushing "no."

The headline alone is a work of art. Cutting investigation times from "hours to seconds." My, my. One has to wonder if the previous system was running on a potato connected to the internet via dial-up. It's a truly disruptive achievement to be monumentally better than something that was apparently non-functional to begin with. A low bar is still a bar, I suppose.

But let's not get bogged down in the details of the "success." I'm more interested in the journey. The article uses the word "migrated" with such breezy confidence, as if it's akin to switching coffee brands in the breakroom. I'm sure it was just that simple. A few clicks, a drag-and-drop interface, and presto—all your institutional knowledge and complex data models are happily living in their new, much more expensive, home.

Let's do a little "Total Cost of Ownership" exercise on the back of this P&L statement, shall we? I find it helps clear the mind.

So, by my quick calculation, the "true" first-year cost is not X, but a much more robust 5.5X. It’s a business model built on the same principle as a home renovation—the initial quote is merely a gentle suggestion.

And the return on this investment? The ROI is always my favorite part of these fairy tales.

They cut investigation times from hours to seconds!

How absolutely thrilling. Let's quantify that. Say an engineer making $200,000 a year was spending two hours a day on these "investigations." Now it takes… let's be generous and say one minute. You've saved that engineer 119 minutes per day. Over a year, that's a significant amount of time they can now spend attending meetings about the new Elastic dashboard. The savings are, in a word, synergistic.

But to justify our 5.5X investment, we’d need to save approximately 1.8 billion seconds of engineering time, which, if my math is correct, is roughly 57 years. So, this platform will have paid for itself by the year 2081. A brilliant long-term play. Our shareholders' great-grandchildren will be thrilled.

I especially admire the subtle art of vendor lock-in, which this article celebrates without even realizing it. Once your data is in their proprietary format, once your team is trained on their specific query language, and once your dashboards are all built… well, leaving would require another "migration." And we already know how fun and inexpensive those are. It's a masterclass in creating an annuity stream. You don't have customers; you have subscribers with no viable cancellation option.

Thank you for this illuminating read. It has provided me with a fantastic example to use in our next budget review meeting, filed under "Financial Anchors We Must Avoid at All Costs."

Rest assured, I've already instructed my assistant to block this domain. I simply don't have the fiscal runway to be this entertained again.