The Cloudcast

Dan McConnell (Senior VP Product Management at @HitachiVantara) talks about how Enterprise infrastructure is having to evolve to keep up with the data challenges of AI. SHOW: 983 SHOW TRANSCRIPT: The Cloudcast #983 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [Mailtrap] Try Mailtrap for free SHOW NOTES: Hitachi Ventara Topic 1 - Welcome to the show. Tell us about your background. Topic 2 - How is AI changing the way enterprises need to think about infrastructure? Topic 3 - What makes AI workloads so different from traditional workloads? How is AI exposing the limitations of broken cloud environments? Topic 4 - Where are organizations feeling the most pressure? What are the biggest misconceptions enterprises have about preparing for AI? Topic 5 - What problems come from managing separate systems? What is the biggest driving factor toward unified data platforms? Topic 6 - How is Hitachi Vantara helping customers handle the growing infrastructure demands created by AI? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

It's been nearly a decade since the last evolution of the PaaS platform, but AI has the potential to reshape and evolve this value concept. Let's explore that's possible. SHOW: 982 SHOW TRANSCRIPT: The Cloudcast #982 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [Mailtrap] Try Mailtrap for free[Interconnected]SHOW NOTES Vercel v0Building Web Apps with just English and AIVercel on The CloudcastVercel on The Cloudcast8 tools to build your own PaaSIS PAAS READY TO TAKE THE NEXT STEP? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from November 2025. SHOW: 981 SHOW TRANSCRIPT: The Cloudcast #981 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [Mailtrap] Try Mailtrap for freeSHOW NOTES: Link to November 2025 News and ArticlesFEEDBACK? Email: Bluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram:@cloudcastpodTikTok:@cloudcastpod

As the Thanksgiving weekend passes, let's look at some technology things that we're thankful for and excited about. SHOW: 980 SHOW TRANSCRIPT: The Cloudcast #980 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [Mailtrap] Try Mailtrap for free[Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES THINGS TO BE THANKFUL FOR: Happy Birthday to ChatGPTFEEDBACK? Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

SHOW: 979 SHOW TRANSCRIPT: The Cloudcast #979 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: TestKube.io/cloudcastTry Mailtrap for freeSHOW NOTES: InfluxData homepageEvan on The Cloudcast #394SpaceNews article on Time Series and AI in SpaceTime Series is critical to Physical AITopic 1 - Welcome back to the show, Evan. Give everyone a brief introduction. Topic 2 - We last spoke in 2019, and our goal with that show was to give everyone an introduction to time series databases. There’s a link in the show notes for those who want to go back and get a refresher. But, if folks aren’t up to speed, give everyone a quick definition of time series and its impacts in recent years Topic 3 - First, we need to discuss Physical AI. What is Physical AI, and how is it different from, say, GenAI or Agentic AI? It seems that AI in the mainstream equates LLMs with AI, but that isn’t correct. We are talking about deterministic AI, not probabilistic solutions. Can you explain to everyone the difference and why it matters? Topic 4 - Why is the concept of time series so crucial to Physical AI? Additionally, you provided a great analogy comparing time series data collection to low-resolution and high-resolution images. Can you explain to everyone why this is so important? Topic 5 - Let’s talk about some use cases. How and where does this intersection of Physical AI and time series impact organizations the most? Is this specific to certain industries (robotics, aerospace, IoT, etc.) or specific collection mechanisms (telemetry, sensor data, etc.) Topic 6 - Are we shifting with AI to a state that is less reactive and more proactive with an active intelligence? Topic 7 - What kind of demands do real-time, modern workflows and data streaming place on the infrastructure? When I think of time series, I think of real-time data, which means ultra-low latency and processing near the source, among other things. First, if this is a correct assumption, and second, what challenges does this present? Topic 8 - If anyone is interested, what’s the best way to get started? FEEDBACK? Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Once again NVIDIA had a record earnings quarter (Q3FY26), but the strength of their on-going success will be dependent on many factors that may or may not be within their control. Let's explore those broader factors. SHOW: 978 SHOW TRANSCRIPT: The Cloudcast #978 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube]TestKube.io/cloudcast[Mailtrap] Try Mailtrap for free[Interconnected] SHOW NOTES: NVIDIA Earnings (Q3FY2026 - November 2025) WHAT WILL BE THE NEW METRICS AND MILESTONES TO TRACK? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

SHOW: 975 Rohan Sathe, CEO and Co-Founder of Nightfall AI, discusses the rise of Shadow AI, where employees unknowingly leak sensitive corporate data through generative AI tools like ChatGPT. We explore how Nightfall's AI-native approach transforms autonomous systems to defend against AI-powered data exfiltration across SaaS apps, endpoints, and browsers. SHOW TRANSCRIPT: The Cloudcast #975 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: [Mailtrap] Try Mailtrap for free[Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES: Sunday Perspective touches on Shadow AINightfall websiteTopic 1 - Welcome to the show, Rohan. Give everyone a brief introduction, including your time at Uber Eats. Topic 2 - How do you define Shadow AI? We hear Shadow AI compared to Shadow IT back at the start of cloud. However, this looks different because everyone's learning curve is much smaller. For Shadow IT to happen, you had to know IT (servers, storage, etc.). Is this the correct way to think about the problem? Topic 3 - How big is the Shadow AI problem today? Topic 4 - Normally, data leaks would be discovered by traditional DLP (data loss prevention) tools. In my experience, those tools have been cumbersome and clunky, and you often face the classic trade-off between user productivity and security, as well as the need to lock down access. How has this mindset evolved in the era of AI? Topic 5 - What happens when AI-powered attacks meet AI-powered defense? Topic 6 - Let's talk about the technical architecture. How does Nightfall actually work across SaaS apps, endpoints, browsers, and AI tools? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Is the current level of AI funding and investment rational or irrational? Is it possible that it’s both at the same time? Let’s look at some numbers and the thought process behind them. SHOW: 976 SHOW TRANSCRIPT: The Cloudcast #976 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube]TestKube.io/cloudcast[Interconnected] SHOW NOTES: A whole bunch of AI-related statsSam Altman on BG2 podcast DO WE HAVE ANY IDEA HOW TO MEASURE THE IMPACT OF AI? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

SHOW: 975 SHOW TRANSCRIPT: The Cloudcast #975 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: TestKube.io/cloudcastSHOW NOTES: LaunchAny websiteapicoach.ioLessons learned after a decade of API StrategyLatest book: “Principles of Web API Design: Delivering Value with APIs and Microservices (Addison-Wesley under the Vaughn Vernon signature series)Upcoming report on AI-Assisted API DesignJames on The Cloudcast #153James on The Cloudcast #435Topic 1 - Welcome back to the show James. It’s hard to believe it’s been 11 years since we last spoke on the show! Give everyone a brief introduction. Topic 2 - To say we’ve come a long way with APIs as an industry is an understatement. But let’s set the table for everyone. In your interactions with Enterprise customers, what trends or standards are currently top of mind? Topic 3 - You wrote an article (link in show notes) titled Lessons after a Decade of API Strategy. What struck me from the article was the combination of technology, business, and even culture, all of which have to come together. When talking to Enterprises these days, have we moved past understanding what APIs are and straight to solving problems with APIs? Topic 4 - What are the most common use cases you see today? API transformation? API sprawl and consolidation/documentation? Integration of SaaS/3rd party services? Topic 5 - No conversation would be complete without a discussion about AI and AI’s impact on API’s. I view this in several different ways. AI is creating APIs, and AI is being consumed through APIs. How do you think about AI and its impact? What’s changed and what has stayed the same? Topic 6 - Second aspect to the AI topic, where and how does security fit into this intersection of AI and APIs? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

In the history of technology era changes, things tend to change slowly at first, and then quickly all at once. We’ve now reached the beginning of the all-at-once era of AI change. SHOW: 974 SHOW TRANSCRIPT: The Cloudcast #974 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected]SHOW NOTES: The Benefit of Bubbles (Stratechery)Cube Research - Energy needs of AIAre we building AI for Progress or Power? (Prof G Markets)Amazon earnings call (Oct 2025) transcriptMicrosoft Azure earnings call (Oct 2025) transcript WHAT WAS THE LEADING AI TREND FOR EACH YEAR? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from October 2025. SHOW: 973 SHOW TRANSCRIPT: The Cloudcast #973 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected][TestKube] TestKube.io/cloudcastSHOW NOTES: Link to October 2025 News and ArticlesFEEDBACK? Email: Bluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram:@cloudcastpodTikTok:@cloudcastpod

Patterns in technology tend to eventually repeat themselves (or at least rhyme), and Amazon is beginning to repeat some of the patterns of Cisco from the early 2000s SHOW: 972 SHOW TRANSCRIPT: The Cloudcast #972 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected]SHOW NOTES: Staying nimble and continuing to strengthen our organizationStrengthening our culture and teamsAmazon Leadership Principles WHERE ARE THE BIGGEST AI RISKS? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Soham Mazumdar, CEO and Co-Founder of WisdomAI, discusses how organizations can break free from the "drowning in data but starving for insights" paradox that plagues modern enterprises. We explore his journey from Google's TeraGoogle project to co-founding and scaling Rubrik through its $5.6 billion IPO, and why he left that success to build an agentic AI approach to Business Intelligence (BI) that transforms how businesses extract value from their data investments. SHOW: 971 SHOW TRANSCRIPT: The Cloudcast #963 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube]TestKube.io/cloudcastSHOW NOTES: WisdomAI websiteTopic 1 - Welcome to the show, Soham. We overlapped briefly at Rubrik. Give everyone a quick introduction and tell everyone a bit about your time at Google prior to Rubrik Topic 2 - You helped scale Rubrik from inception to a $5.6 billion IPO in 2024. What was the "aha moment" that made you leave that success to tackle the enterprise data analytics problem with WisdomAI? Topic 3 - Let's define the core problem. Organizations invest heavily in modern data platforms - Snowflake, Databricks, etc. - but there is the term "drowning in data but starving for insights." What's broken in the traditional BI stack that prevents business users from getting answers? Topic 4 - How do agentic AI and BI fit together? WisdomAI introduces the concept of "Knowledge Fabric" and agentic data insights. Break this down for us - how does this fundamentally differ from traditional dashboards and BI tools? Topic 5 - One of the biggest challenges with GenAI in enterprise settings is hallucination. You've emphasized that WisdomAI separates GenAI from answer generation. How does your approach tackle this critical trust issue? Topic 6 - Let's talk about data integration complexity. Your platform works with both structured and unstructured data - Snowflake, BigQuery, Redshift, but also Excel, PDFs, PowerPoints. How do you handle this "dirty" data reality that most enterprises face? Topic 6a - With so much data, how do most organizations get started? What’s a typical use case for adoption? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Why are 95% of AI projects struggling to create positive ROI, according to a recent MIT study? Do businesses need help getting those first few AI projects started and driven to success? SHOW: 970 SHOW TRANSCRIPT: The Cloudcast #970 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: MIT Study - The State of AI in Business (2025)The Information - Interview with Vihod Khosla (Oct 2025) WHERE ARE THE BIGGEST AI RISKS? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Monzy Merza (@monzymerza, CEO/Founder @Crogl) talks about build a next-generation Enterprise SOC by leveraging AI to stay ahead of Cybersecurity threats. SHOW: 969 SHOW TRANSCRIPT: The Cloudcast #969 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES: Crogl websiteTechCrunch articleForbes ArticleIntellyx ArticleLast WatchDog ArticleTopic 1 - Welcome to the show, Monzy. Give everyone a brief introduction and tell us about your unique journey from government research to Splunk to Databricks to founding Crogl. Topic 2 - Let's start with the current state of cybersecurity and AI. We're seeing headlines about AI being the top cybersecurity concern for 2025, even overtaking ransomware. From your perspective, what's driving this shift and why should organizations be paying attention to the intersection of cybersecurity and AI? Topic 3 - You've described Crogl as an "Iron Man suit" for security analysts. That's a compelling metaphor. Can you break down what you mean by that and how your approach differs from the traditional "reduce alerts" mentality that most vendors have been pushing? Topic 4 - Let's talk about your "knowledge engine" and what you call an “AI for the Enterprise SOC”. You're using compound AI systems with LLMs, smaller models, and knowledge graphs. This sounds quite different from vendors who are just "bolting on" LLMs to existing tools. Walk us through this architectural decision and why it matters. Topic 5 - The cybersecurity industry is experiencing massive alert fatigue - 4,500 alerts per day, with analysts only able to investigate 8-25 of them. Your philosophy is "every alert should be analyzed" rather than filtering them out. That seems counterintuitive to what the market has been doing. How does your autonomous investigation approach actually work in practice? Topic 6 - Where do you see this evolution heading, and what are the implications for SOC teams and security practitioners? Are we heading toward fully autonomous SOCs? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod

What happens when the biggest technology trend is built on economics that don't make any sense when viewed end-to-end? Eventually, some aspect has to change, but which one? SHOW: 968 SHOW TRANSCRIPT: The Cloudcast #968 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected]SHOW NOTES: Tokens are getting more expensiveNvidia Earnings, Moats and China, Nvidia vs. the AI LabsOracle Assures Investors on AI Cloud Margins as It Struggles to Profit From Older Nvidia Chips WHERE ARE THE BIGGEST AI RISKS? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Animesh Koratana - CEO and Founder of PlayerZero discusses how agentic AI is transforming software quality assurance through predictive code simulation, and how teams can shift from reactive debugging to proactive problem prevention in the era of AI-generated code. SHOW: 967 SHOW TRANSCRIPT: The Cloudcast #967 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES: PlayerZero websiteTopic 1 - Welcome to the show Animesh. Tell us about your background and your involvement in. Topic 2 - Let's start with the core problem you're solving. What is "predictive software quality" and why is this becoming critical now, especially in the era of AI-generated code? Topic 3 - How does agentic code simulation work, and what makes it different from traditional testing approaches? Topic 4 - This feels like it democratizes software quality beyond just engineering teams. How does PlayerZero work across different roles - developers, QA, product managers, and support teams? Topic 5 - Integration and workflow - how does PlayerZero fit into existing CI/CD pipelines and development workflows? What does the implementation look like Topic 6 - Let's talk about scale and complexity. How does PlayerZero handle large, distributed systems with microservices, databases, and complex architectures Topic 7 - If someone out there is interested and wants to get started, what is the best place to started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Three years since the launch of ChatGPT, what does the landscape of Enterprise AI look like today? What’s working, what’s struggling and what’s still unknown? SHOW: 966 SHOW TRANSCRIPT: The Cloudcast #966 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: HOW ARE ENTERPRISES USING AI IN LATE 2025? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Alan Lefort, CEO and Co-Founder, StrongestLayer, discusses how LLM-powered reasoning is transforming phishing security from reactive pattern-matching to predictive threat detection, and why traditional rule-based systems can no longer defend against sophisticated AI-generated phishing attacks. SHOW: 965 SHOW TRANSCRIPT: The Cloudcast #965 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES: WebsiteStrongestLayer ResearchTopic 1 - Welcome to the show Alan. Tell us about your background and your involvement in Cybersecuity. Topic 2 - Let's start with the core challenge. You've said that "if only AI can defend against weaponized AI" - what specific gap in traditional email security did you identify that led to this philosophy? How are AI-powered phishing attacks fundamentally different from what we've seen before? Topic 3 - How does this attack vector demonstrate the limitations of rule-based security systems, and why can't traditional pattern matching keep up? Topic 4 - Let's break down your TRACE (Threat Reasoning and AI Correlation Engine) architecture. You've described it as "LLM-as-master" rather than "LLM-as-add-on." What does this fundamental architectural difference mean for threat detection, and how does it help? Topic 5 - You discuss "pre-campaign detection," which involves identifying potential phishing campaigns weeks before emails are sent. This sounds like moving from reactive to predictive security. How does your system correlate technical intelligence with business context to achieve this early warning capability? Topic 6 - From an implementation standpoint, how do organizations integrate LLM-powered reasoning into their existing security stacks? What's the deployment model, and how do you handle the challenge of reasoning about business context without exposing sensitive organizational data? Topic 7 - If someone out there is interested and wants to get started, what is the best place to start? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

As cloud matures, could the hyperscale cloud providers start looking to acquire SaaS providers to build out a bundled application portfolio? Or are the demands of AI investment too much to pursue that strategy? SHOW: 964 SHOW TRANSCRIPT: The Cloudcast #964 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: Clouded Judgement100 Biggest SaaS CompaniesCOULD THE CLOUD HYPERSCALERS START LOOKING TO ACQUIRE SAAS COMPANIES? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod