Tag: Products
-

Phases of Data Modeling
Phase 1 – it works for me Phase 2 – it works for my team Phase 3 – it works for my role in other teams Say that you want to use some data to answer a question. You’ve got a firewall, it’s emitting logs, and you make a dashboard…
-

Engines and fuel – who writes quality content?
In software, everyone wants to build engines, and no one wants to make fuel. A platform for executing content has high potential leverage and lots of vendors make those. The expected community of fuel makers rarely materializes. Content for software engines breaks down along two axes: simplicity versus complexity and…
-

Tools and the Analyst
Let’s say I’m responsible for a complex system. I might have a lot of titles, but for a big part of my job I’m an analyst of that system. I need tools to help me see into it and change its behavior. As an analyst with a tool, I have…
-

Dev and Test with Customer Data Samples
The short answer is don’t do it. Accepting customer data samples will only lead to sorrow. Not even if they gave it to you on purpose so you can develop for their use case or troubleshoot their problem. The person who wants you to do that may not be fully…
-

It’s not a platform without partners
What are the major decisions that a platform needs to make in order to balance incentivizing development vs. maintaining quality and control over their 3rd party app marketplace? Let’s look at this on three scales, in which the right answer for a given team is somewhere between two unrealistic and…
-

Where’s the Product in AI?
AI & ML products are harder than they look AI tech is obviously overhyped, and conflating with ideas from science fiction and religion. I prefer using terms like Machine Intelligence and Cognitive Computing, just to avoid the noise. But if we strip away the most unrealistic stuff, there’s some interesting…
-

Metrics in Splunk, and Observability
I’ve got some thoughts about Splunk and metrics for observability… The event-first Splunk can now store metrics efficiently. That has potential: 1 dashboard, a single glass of pain. I’m excited to see annotations and mcatalog; I’m hoping it allows resolution of a nasty problem with multi-source metric comparison. Metrics are…
-
License models suck
Most license models suck in some way: Flat rate sucks for the vendor because it leaves money on the table from large customers. This can be acceptable for an inherently limited product model (e.g. per user with a bulk discount), but it is not ideal for scalable enterprise software. Per…
-
Imperfect Product
Software vendor people have all sorts of different backgrounds… while lawyers and architects might have pretty similar educations, software people could have been educated in liberal arts or pre-med or hard knocks instead of STEM or EECS. Furthermore, they might have more experience in selling or more experience in servicing,…
