The Cloudcast

The podcast discusses the importance of SaaS Analytics and building dashboards into SaaS services while maintaining security and compliance. They explore the need for SaaS analytics and the benefits of data visualization. The impact of data regulations like GDPR and CCPA is also discussed. The podcast highlights the challenges of analyzing data in the SaaS industry and introduces Lozmo, a company specializing in customer-facing insights for SaaS companies through embedded dashboards. Simplifying analytics with embedded billing blocks and personalizing data access are also explored.

What were the major announcements at 2023 AWS re:Invent? What did we learn about their AI strategy? What did we learn about how they continue to evolve the business?SHOW: 778CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:CloudZero – Cloud Cost Visibility and Savings​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendReduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle.  Learn more about Panoptica at panoptica.appSHOW NOTES:Top announcements from AWS re:Invent 2023AWS re:Invent Keynotes (2023)AWS MANAGES THE TRANSITION FROM ONE CLOUD ERA TO THE NEXT Reviewing AWS’ AI strategyNVIDIA DGX Cloud in AWSFurther alignment with AnthropicAWS QCost Optimization HubMemory-optimized Graviton 4 ARM compute nodeszero-ETL integration for a number of database and data-ingestion platformsAurora Limitless DatabaseIBM DB2 comes to AWSProject Kuiper - Satellite InternetFEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet

Guest Alex Kvamme, CEO @GetPathlight, talks about using AI to unlock market insights from discussions with customers and partners. They discuss the concept of conversational intelligence and its application in organizations, the trade-off between time and resources in gaining customer insights, where data in most organizations is located and how to get started, and the framework behind AI operations and lifecycle management.

How did the modern cloud evolve from the earliest days of AWS to today’s AI boom? What roles did open source, mobile apps, microservices and the sharing economy play?SHOW: 776CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Reduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle.  Learn more about Panoptica at panoptica.appDatadog Application Monitoring: Modern Application Performance MonitoringGet started monitoring service dependencies to eliminate latency and errors and enhance your users app experience with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.CloudZero – Cloud Cost Visibility and Savings​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendSHOW NOTES:All the show notes from this week's show.2001 - a dotCom Bubble Odyssey (Part 1 of 3) Building the Foundations of Modern Cloud (Part 2 of 3)FEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet

Gary Harmson, Principal Customer Engineer at Google, and Ieva Jonaityte, Technical Account Mgr at DoIT, discuss the challenges of communication between finance and engineering teams in optimizing cloud costs. They emphasize the importance of education, establishing a cloud center of excellence, and good tagging practices. They also talk about understanding cloud billing, the DIKW hierarchy, and the need for cost visibility and staying informed about new features.

This podcast explores the effects of the dotCom bubble burst, the 2008 housing crisis, and the impact on technology markets. It delves into the firing and rehiring of OpenAI's CEO, the conflict within the company, the aftermath of the dotCom bubble, and the evolution of the internet and monetization.

Elliott Clark, CEO/Founder of Batteries Included, discusses creating a Platform Engineering org and building an IDP. They explore the challenges faced at Meta/Facebook, growth of infrastructure, and the role of open source.

What happened in the lead-up to the Internet Bubble burst of 2001? What went right, what went wrong, and what lessons did we learn? (Part 1 of 3)SHOW: 772CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to data with Enterprise Tech with theCUBECode Comments - An original podcast from Red Hat (Season 2)Adjusting to new technology, from teams that have been through itSHOW NOTES:All the Shows Notes Research Original Tweet that inspired the show: https://x.com/forrestbrazeal/status/1719827334834913283?s=20“Looking for recommendations: what’s the best book ever written about the dotcom bubble? Specifically looking for something that captures the emotions of that time as well as the mechanics”THE BROWSER, THE NETWORKS, THE CARRIERS AND POSSIBILITIESInformation was freely exposed to the Internet (and Intranets)It was Digital Transformation 1.0 era - Everything on the Internet The New Industrial RevolutionLots of focus on new Online PurchasingLots of focus on new Telecommunications services (VoIP, VoD, etc.)Lots of focus on new media partnershipsEVERYTHING ALWAYS GOES UP, EVERYDAY, RIGHT? Massive network build outsLots of Engineers and MBAs moved out to Silicon ValleyEvery startup built their own data-centers, networks, applications, etc.IPOs were happening every weekTelecom vendors vs. Internet/Networking vendorsStock prices going up $1-2 per dayLESSONS LEARNED:Infrastructure has to match the ambitionsBusiness models always come back to revenues and profitabilityEach wave can create the new big winners (and losers)Understand Manias vs. Fundamentals (where in the wave are we?)Stupid money eventually finds a bottomFEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet

Jeff Huber, Co-Founder and CEO @ Chroma, discusses vector databases and their importance to AI. Topics include the basics of vector databases, integration into models, trade-offs between fine-tuning and retrieval, and creating an AI stack. They also touch on Chroma's OSS project.

Discussion on the potential risks and consequences of AI, including speculations of human destruction. Exploring the need for regulations and guardrails to address concerns about the impact of AI technology. Drawing parallels to historical events and exploring the US government's executive order on AI security and transparency. Emphasizing the importance of considering societal and environmental concerns. Exploring different opinions regarding AI regulations.