The Cloud EquilibriumAs you know, I enjoy the impossible chase to track down the elusive chart that shows how many workloads are running on private cloud1 versus public cloud. I last rounded up my findings in July, 2024. Of particular interest is the IDC CloudPulse report. I don’t have access to the most recent one, but you can see one of the older charts in an older blog post of mine.
Tanzu Platform for Cloud Foundry’s Hidden Superpowers, Save Money with Java Native - “you can reduce your Java app’s memory usage by 90%. This allows your applications to use fewer resources, which directly contributes to cost savings and more compute capacity”
Docs are the new something - The Google Docs web.
Google NotebookLM: AI-Powered Document Analysis Tool - Ideas for using NotebookML.
Citi taps Google Cloud for app migration, AI adoption - “As evidence of progress, CFO Mark Mason pointed to 450 apps retired by the bank since the start of the year. Citi has reduced tech sprawl by eliminating 1,250 apps in the last two years, Mason said.” // Thinks of all the zombie apps like that across every organization in the world.
How PostgreSQL is Dominating AI and Multicloud - Postgres never goes away.
Platform Engineering: Why You’re Doing It Wrong - Hopefully also how to do to real right.
AI is terrible at shift-left
Start with good content, get better contentI've seen enough generative AI used to help marketing now that my theory is: you should only use it if you're already good at making whatever "the content" or strategy is. The AI will help you make it better, or more broadly consumable. It will do a terrible job starting from a blank slate.
You can coax it, try to get it to know your style, feed/RAG more context in, workshop and refine it…but at that point you’ve spent just as much time as it would taken to just type an email, call someone to plan/brainstorm, blog post, or hit record.
Gartner Forecasts Worldwide IT Spending to Grow 9.3% in 2025 - Setting expectations: “CIOs will begin to spend on GenAI, beyond proof-of-concept work, starting in 2025. More money will be spent, but the expectations that CIOs have for the capabilities of GenAI will drop. The reality of what can be accomplished with current GenAI models, and the state of CIO’s data will not meet today’s lofty expectations."