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105 posts, newest first. Page 9 of 11.
Cost Explorer says EC2 went up. Every tool in this category exists to answer the next question, and they answer it at four different layers, against numbers that are not always what you paid.
AWS bills your agents by the vCPU second. Microsoft and Google bill by the person. That single difference decides more about your bill than any model choice.
Three different products get sold under the same phrase, and the one that decides whether any of them works is a semantic model you probably have not written.
Inngest, Temporal and now Lambda all bill per step, and a five-step run costs six of whatever they count. Trigger.dev bills compute-seconds instead. Same workload, four rate cards, and one of them cannot be filled in from public prices.
What a small always-on app actually costs on each, and the specific line item on each platform that turns a $10 bill into a $200 one.
Custom silicon against GPU platforms, and the question that settles it: what is your user doing while the tokens stream? Speed is worth paying for in exactly two of the four common workloads.
Prisma 7 dropped its Rust engine and Drizzle joined PlanetScale, which killed both of the easy reasons to pick a side. What is left is a question about how much SQL you want to write.
Nobody picks a vector store on unfiltered QPS, because nobody runs unfiltered queries. What separates these four is what happens when you add a tenant filter, and which version you are pinned to.
The seat prices are close enough that they should not decide this. Jira Data Center is being retired, Atlassian bills your peak headcount each month, and the MCP gap that looked like Linear's moat a year ago closed on all three.
These tools bill per seat or per review, and that choice decides whether you review every pull request. The harder number is how many comments your team ignores before it stops reading them.