Welcome to episode 302 of The Cloud Pod – where the forecast is always cloudy! This week Justin and Ryan are on hand to bring you all the latest in Cloud (and AI news.) We’ve got hotpatching, Project Greenland, and a rollback of GPT-4.o, which sort of makes us sad – and our egos are definitely less stroked. Plus Saas, containers, and outposts – all of this and more. Thanks for joining us in the cloud!

• The Cloud Pod was never accused of being sycophantic
• 2nd Gen outposts!?! I didn’t even know anyone was using Gen 1
• AWS Outposts 2nd Gen… not with AI (GASP)
• If you’re doing SaaS wrong, Google & AWS have your back this week with new Features
• Patching, so hot right now
• Larger container sizes for Azure…. You don’t say
• AWS Green reporting detects hotspots… surprisingly close to Maryland…..
• Visual pipeline for Opensearch… I want to like this… but I just can’t

01:37 Sharing new DORA research for gen AI in software development

• The DORA team at Google has released a new report, “Impact of Generative AI In Software Development.” The report is based on data and developer interviews, and the report aims to move beyond hype to offer a proper perspective on AI’s impact on individuals, teams and organizations.
• Click on the link in our show notes to access the full report. However, Google has highlighted a few key points in the blog post.
• AI is Real – A staggering 89% of organizations are prioritizing the integration of AI into their applications, and 76% of technologists are already using AI in some part of their daily work.
• Productivity gains confirmed: Developers using Gen AI report significant increases in flow, productivity, and job satisfaction. For instance, a 25% increase in AI adoption is associated with a 2.1% increase in individual productivity.
• Organization benefits are tangible: Beyond individual gains, Dora found strong correlations between AI adoption and improvements in crucial organizational metrics. A 25% increase in AI adoption is associated with increases in document quality, code quality, code review speeds and approval speeds.
• If you are looking to utilize AI in your development organization, they provide five practical approaches for both leaders and practitioners.
  • Have transparent communications
  • Empower developers with learning and experimentation
  • Establish clear policies
  • Rethink performance metrics
  • Embrace fast feedback loops

045:06 Ryan – “Those are really good approaches, but really difficult to implement in practice. You know, in my day job, watching the company struggle to get a handle on AI from all the different angles you need to, from data protection, legal liability – just operationally – it’s very hard. So I think having a mature program where you’re rolling that out with intent and being very specific with your AI tasks I think will go a long way with a lot of companies.”

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