“Don’t build something if you can buy it.” Building a bespoke internal platform should focus on specific organizational needs rather than replicating available market solutions.
Kubernetes use rising, large organizations slowest to adapt, not many people train their own AI model or deploy new AI models frequently
The CNCF cloud native report indicates a growing adoption of Kubernetes and container usage in production, with larger organizations facing cultural resistance as a primary barrier to implementation.
TikTok ownership in the US is one the strangest tech stories ever.
Sixty-seven percent of online youths ages 12 to 17 report using it weekly, and nearly 50% of US online adults under 45 report using it at least weekly.
See also Kelsey’s (Forrester) predictions on what will change, plus Usage in the US. There’s also a link round-up from Kagi News.
Optimizing marketing web pages for AI
You need to write SEO and enterprise research text for AIs now, in addition to humans. Does this mean separate pages, often hidden from humans like we see for search engine SEO? Probably.
A Gartner survey of 377 U.S. consumers, conducted in June and July 2025, revealed that rather than shortcutting decisions, AI features are lengthening the research journey. Thirty-one percent of consumers surveyed say AI summaries cause them to spend more time searching for information, compared to just 16% who spend less.
Where to stay in Amsterdam
For a fun, less touristy experience in Amsterdam, consider staying in the neighborhoods of De Pijp or Jordaan.
Enterprise ROI continues to be elusive
NICHOLAS LITTLE, from this IEEE article.Original ContentHere’s a summary of a new post on my weblog: Three years into the generative AI boom, enterprise ROI remains stubbornly hard to find. Survey after survey shows a familiar pattern: widespread experimentation, lots of “in production” claims, and very little impact on revenue, costs, or P&L. The usual explanation is “culture,” but that’s a dead end for IT - culture change belongs to executives, and most employees don’t believe leadership has a real plan anyway.
This week’s Software Defined Talk: This week, we discuss the end of Cloud 1.0, AI agents fixing old apps, and Chainguard vs. Docker images. Plus, the mystery of Dutch broth is finally solved.
I recommend the traditional podcast format.
This week’s Software Defined Interviews: we talk with Nathen Harvey, who leads the DORA research program at Google Cloud. They talk about what 15 years of DevOps and delivery data actually says about AI. The answer feels something like “it makes you even better at what you’re already good at.” High-performing teams get better, while struggling teams just move faster into bottlenecks. The talk about AI-assisted software development, why throughput is rising while stability drops, how culture still beats tools, and why “user-centric” work remains stubbornly hard despite being obvious.
There’s also the traditional podcast version.
This week’s Tanzu Catsup: AI tools have solved code generation, probably. But they’ve created a new constraint: Day 2 operations. When the volume of applications jumps 10x driven by a flood of “small” line-of-business apps manual “run teams” and traditional onboarding processes break down.
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Another go at LowCode
Another go at LowCode:
It is a new era of app creation that is sometimes called micro apps, personal apps, or fleeting apps because they are intended to be used only by the creator (or the creator plus a select few other people) and only for as long as the creator wants to keep the app. They are not intended for wide distribution or sale.
🔗 The rise of ‘micro’ apps: non-developers are writing apps instead of buying them