The Cloud Pod

• 302: It’s So Hot, Even Windows is Hotpatching

  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!  Titles we almost went with this week: 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 A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our Slack channel for more info.  General News  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

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• 301: The Cloud Pod PartyRocks in the House Tonight

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• 300: The Next Chapter: How Google’s Next-Level Next Event Nexted All Our Next Expectations – and What’s Next Now That Next Is Past

  Welcome to episode 300 of The Cloud Pod – where the forecast is always cloudy! According to the title, this week’s show is taking place inside of a Dr. Suess book, but don’t despair – we’re not going to make you eat green eggs and ham, but we WILL give you the low down on all things Vegas. Well, Google’s Next event which recently took place in Vegas anyway. Did you make any Next predictions?  Titles we almost went with this week: This is the CLOUDPOD Episode 300 Tonight we dine in the Cloud The Next Chapter Now in Preview: Episode 300 A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info.  GCP Pre-Next 02:35 Google shakes up Gemini leadership, Google Labs head taking the reins  There was a lot of Gemini news at Next – but we’ll get to all that.  In this particular case, there’s an employee shakeup. Sissie Hsiao is stepping down from leading the Google team, and is being replaced by Josh Woodward, who is currently leading the Google Labs.  04:35 Filestore instance replication now available GCP says customers have been asking for help in meeting business and regulatory goals, and so they are releasing Filestore instance replication. This new feature offers an efficient replication point objective (RPO) that can reach 30 minutes for data change rates of 100 MB/sec. 05:16 Multi-Cluster Orchestrator for cross-region Kubernetes workloads The public preview of Multi-Cluster Orchestrator was recently announced. This lets platform and application teams optimize resource utilization, enhance application resilience, and accelerate innovation in complex, multi-cluster environments.  The need for effective multi-cluster management has become essential as organizations increasingly use Kubernetes to deploy and manage their applications; Challenges such as resource scarcity, ensuring high availability, and managing deployments across diverse environments create significant operational overhead. Multi-Cluster Orchestrator addresses these challenges by providing a centralized orchestration layer that abstracts away the complexities of underlying Kubernetes infrastructure matching workloads with capacity across regions. 06:26 GKE at 65,000 nodes: Evaluating performance for simulated mixed AI workloads Recently GKE announced it can now support up to 65,000 nodes (up from 15,000.)  Saint Carrie be with your CFO.  09:15

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• 299: We Predict Next, for Next Week’s, Next-Level Google Next Event. What’s Next?

  Welcome to episode 299 of The Cloud Pod – where the forecast is always cloudy! Google Next is quickly approaching, and you know what that means – it’s time for predictions! Who will win this year’s Crystal Ball award? Only time and the main stage will tell. Join Matthew, Justin, and Ryan as they break down their thoughts on what groundbreaking (and less groundbreaking) announcements are in store for us.  Titles we almost went with this week: OpenAI and Anthropic join forces?  Its 2025, and AWS is still trying to make Jumbo packets happen Beanstalk and Ruby’s Updates!! They’re Alive!!! Google Colossus or how to expect a colossal cloud outage someday. The Cloud Pod gives an ode to Peter A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info.  AI Is Going Great – Or How ML Makes All Its Money   02:27 OpenAI adopts rival Anthropic’s standard for connecting AI models to data OpenAI is embracing Anthropic’s standard for connecting AI assistants to the systems where the data resides.   By adapting Anthropic’s Model Context Protocol or MCP across its products, including the desktop app for ChatGPT.   MCP is an open source standard that helps AI models produce better, more relevant responses to certain queries.  Sam Altman says that people love MCP and they are excited to add support across their products and that it is available today in the Agents SDK and support for the ChatGPT desktop and Response API is coming soon. MCP lets models draw data from sources like business tools and software to complete tasks, as well as from content repositories and app development environments.  We found two helpful articles that may help demystify this whole concept.  MCP: What It Is and Why It Matters – by Addy Osmani Meet MCP: Your LLM’s Super-Helpful Assistant! Justin particularly loves Addy Osmani’s blog, as they start out with a simple ELI5 on understanding MCP. We’re going to quote verbatim:  “Imagine you have a single universal plug that fits all your devices – that’s essentially what the Model Context Protocol (MCP) is for AI. MCP is an

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• 298: BigQuery Gits it With Devops

  Welcome to episode 298 of The Cloud Pod – where the forecast is always cloudy! Justin, Matthew and Ryan are in the house (and still very much missing Jonathan) to bring you a  jam packed show this week, with news from Beijing to Virginia! Did you know Virginia was in the US? Amazon definitely wants you to know that.  We’ve got updates from BigQuery Git Support and their new collab tools, plus all the AI updates you were hoping you’d miss. Tune in now!  Titles we almost went with this week: The Cloud Pod now Recorded from Planet Earth Wait Java still exists? When will java just be coffee and not software Cloudflare Makes AI beat Mazes Replacing native mobile things with mobile web apps won’t fix your problems AWS Turn your security over to the bots The Cloud Pod is lost in the AI labyrinth  AI security agents to secure the AI… wait recursion Durable + Stateless.. I don’t know if you know what those words means Click ops expands to our phones yay! The Cloud Pod is now a data analyst  Gitops come to bigquery A big thanks to this week’s sponsor: We’re sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You’ve come to the right place! Send us an email or hit us up on our slack channel for more info.  AI Is Going Great – Or How ML Makes All Its Money   00:46 Manus, a New AI Agent From China is Going Viral—And Raising Big Questions   Manus is being described as “the first true autonomous AI agent” from China, capable of completing weeks of professional work in hours. Developed by a team called Butterfly Effect with offices in Beijing and Wuhan, Manus functions as a truly autonomous agent that independently analyzes, plans, and executes complex tasks.  The system uses a multi-agent architecture powered by several distinct AI models, including Anthropic’s Claude 3.5 Sonnet and fine-tuned versions of

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