The Cloudcast

Massive Studios

The Cloudcast (@cloudcastpod) is the industry's #1 Cloud Computing podcast, and the place where Cloud meets AI.  Co-hosts Aaron Delp (@aarondelp) & Brian Gracely (@bgracely) speak with technology and business leaders that are shaping the future of business. Topics will include Cloud Computing | AI | AGI | ChatGPT | Open Source | AWS | Azure | GCP | Platform Engineering | DevOps | Big Data | ML | Security | Kubernetes | AppDev | SaaS | PaaS .

read less
TechnologyTechnology

Episodes

Synthetic Data for AI
6d ago
Synthetic Data for AI
Kalyan Veeramachaneni (@kveeramac, CEO/Founder @DataCebo) discusses the generation and value proposition of synthetic data for GenAI.SHOW: 813CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW NOTES:DataCebo (homepage)Synthetic Data Vault - SDVTechCrunch ArticleMIT News ArticleTopic 1 - Our topic for today is synthetic data. While the concept and need for synthetic data has been around for a long time, it isn’t a topic that typically comes to the forefront and something we haven’t talked about until today. Today is a bit of crossing the streams between developers and testing data and using GenAI to achieve this goal. For this, we’re joined by Kalyan, CEO and Co-Founder of DataCebo. Welcome to the showTopic 2 - First, for those not familiar, what is synthetic data? What is the use case and need? What problem is it solving today?Topic 2a - Hopefully, listeners out there are making the connection to the advantages of GenAI for synthetic data, but take us through your original concept at MIT and the history of Synthetic Data Vault (SDV).Topic 3 - We recently did a show on the security and privacy of training LLMs where we covered the need to mask PII for the training of models for compliance. I can also see bias issues coming into play or maybe training data that doesn’t exist in the real world (weather models example). What are some of the use cases that you’ve seen require synthetic data sets. Are there certain industries (healthcare, financials, etc.) that benefit?Topic 4 - You were designing this based on GenAI before GenAI was “cool”. How has the rise of LLMs impacted this space?Topic 5 - If I understand this correctly, organizations would put generative AI on a problem to describe a need for a data set, the model would then evaluate the available data and create a quality synthetic or “fake” dataset. How would the organization verify the quality of the dataset? How would they validate that a synthetic data set is as good as the original data?Topic 6 - Let’s talk about resources for a bit. When I think of GenAI and training, I think of large amounts of hardware and in particular GPU’s that might have limited availability. Is that true here? Also, is this on-prem or in the cloud, or both? FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Building Media and Streaming Platforms
Apr 10 2024
Building Media and Streaming Platforms
Brad Winett (President/Co-founder @TrackItCloud) talks about platforms for entertainment and media. Topics include use cases, partnering with AWS, and creation and consulting services. We even dig into AR and VR a bit at the end.SHOW: 811CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW NOTES:TrackIt (homepage)Topic 1 - Our topic for today is media and entertainment in the cloud. I don’t believe we have ever done a show specifically on this topic, and there are some considerations worth talking about. For today, we have Brad Winett, President and Co-founder at TrackIt. Brad, welcome to the show. Let’s jump right in. The media industry as a whole has undergone major change, just like many others. Most of us see it from the consumer end as a cord-cutter. What made you jump into this market and this industry specifically?Topic 2 - Platforms and content distribution in the early days of cloud was a differentiator. I think back to Netflix, they initially had a market advantage because they were able to scale better and to more devices than anyone and even open sourced a number of internally developed items and were the AWS poster child. Over time, these user experiences have become the norm. How should people out there think about media platforms? Are we past the days of build your own?Topic 3 - What about use cases? Media streaming is pretty broad. What does a normal customer look like? Is this big streaming services, smaller companies, etc?Topic 4 - How much of the tech stack is AWS products and how much of the stack is custom typically? Walk us through what a media streaming stack looks like. How is this different from a SaaS provider providing a turnkey service?Topic 5 - I know TrackIt is a big AWS partner. Give everyone an overview of the landscape of AWS Partnership these days. Do you provide mainly professional services and consulting? Topic 6 - Where does open-source software fit into this?Topic 7 - I feel the standard last question these days is how AI will potentially enhance or impact this is some way.FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
The $69B bet against replacement
Mar 31 2024
The $69B bet against replacement
Let’s dig into the mindset behind the VMware price increases that have been happening since Broadcom acquired the company in 2023. SHOW: 808CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before April 30th)WSO2 Choreo - Why build a platform? Just add developers insteadSHOW NOTES:What VMware might look like under Broadcom (Eps.629, June 2022)What to do about VMware (Day Two Cloud, Feb 2024)VMware 10X Price Increase Leaves Companies Looking for AlternativesVMware pricing in the Broadcom EraBROADCOM IS FITTING VMWARE INTO THEIR BUSINESS MODELAt least with acquisitions, Broadcom has a well-defined set of business metrics they expect from their companiesBroadcom acts somewhere like private equity in terms of investment, innovation, revenue generationIT'S A BOLD STRATEGY BROADCOM, LET’S SEE IF IT PAYS OFF FOR THEMIn essence, the bet is that there is no replacement for VMware in the EnterpriseThe timing is interesting with the shifting of budgets for AI projectsIt puts customers in a position to pay more for limited upside, but having to distinctly cut other areas of their technology budget (risk the business)Customers have some options, but again they risk the business (e.g. hold off on security patches)Once a company accepts the new pricing, what guarantees are there about no additional big increases in the future? How much will this impact the longer-term vendor-customer relationship?FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
LLM Security and Privacy
Mar 27 2024
LLM Security and Privacy
Sean Falconer (@seanfalconer, Head of Dev Relations @SkyflowAPI, Host @software_daily) talks about security and privacy of LLMs and how to prevent PII (personally identifiable information) from leaking outSHOW: 807CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before August 30th)WSO2 Choreo - Why build a platform? Just add developers insteadCloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendSHOW NOTES:SkyFlow (homepage)Partially Redacted PodcastSoftware Engineering DailyTopic 1 - Our topic for today is the security and privacy LLMs. What’s Sean’s origin story?Topic 2 - Let’s dig into LLM security and privacy. We see this concern a lot on the podcast and we’ve touched on it with various past shows, but we haven’t dug in deep. First, let’s frame the problem. What are we talking about when we talk about LLM security and privacy?Topic 3 - First, there is a fear that customer PII information might leak out. Second, company IP or confidential into might leak out related to products or offerings. We’ve seen examples of both to date. This could be exposed in the form of integration into a model (query it for the answer) or in the fine-tuning or RAG stage. Either one could lead to compliance issues, lost rev etc. But, that same data at risk is the potential differentiation of the models. How do you both mask the data but take advantage of the data?Topic 4 - One thing I’ve noticed is many orgs only think about privacy in relation to the fine-tuning stage where they are taking a broad model and making it company specific. It is about much more than that though. Just like standard software development, we have different stages. How is the data collected and stored, how is it used for training and fine-tuning, how is it used after deployment and during interaction stage, etc. How should security and privacy be handled across all phases?Topic 5 - Let’s talk beyond LLMs for a bit. What about Data Lakes and Data Warehousing? I see this as a problem across all big data, correct?Topic 6 - How does API security fit into this? Much of what we are talking about is at the storage and retrieval level. But, increasingly we see API issues exposing data. How does that fit in here?Topic 7 - Let’s talk podcasts, we had Jeff, the previous host of Software Engineering Daily on a few times. How are things over at Software Engineering Daily? Tell everyone a bit about the show.FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Building an AI Product Company
Mar 20 2024
Building an AI Product Company
Krish Ramineni (@krishramineni, CEO/Founder of @Firefliesai) talks about what it is like to build an AI product company in both the pre-LLM era as well as post-LLMs. We also discuss privacy and security concerns and AI behind the scenes.SHOW: 805CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Want to win a Tesla Cybertruck or $100,000? Enter the WS02 Choreo Code Challenge (before April 30th)WSO2 Choreo - Why build a platform? Just add developers insteadSHOW NOTES:Fireflies.ai (homepage)Fireflies MIT ArticleTopic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.Topic 2 - Our show and listeners tend to be interested and employed in the Enterprise infrastructure and AI/ML space. Some may find it surprising that we are talking today, but we wanted to really dig into how an up-and-coming AI company provides value at scale from individuals all the way to large enterprises. What goes into both building the product as well as taking that product to market? So, let’s start there. You recently posted about “Free AI” on LinkedIn. What was the problem you were trying to solve, and how did that influence the product you built? Topic 3 - As the foundational models in the industry keep improving and are going multi-modal, do you worry that the LLMs of the world might push out specialized models? How do you think about staying ahead of the curve? How does something like GPU shortages or big companies like Meta purchasing thousands at a time impact your decisions?Topic 4 - Fireflies.ai is all about the abstraction of the technology away from the user. They have no idea (and shouldn’t) about the back end and everything “behind the curtain”. How do you think about this abstraction layer from a product standpoint?Topic 5 - Now, let’s talk about PLG vs. traditional Enterprise software sales models. You did another post about that recently. We’ve worked in environments selling both (sometimes at the same time), and they are very different motions. Do you feel both are needed to build an AI company?Topic 6 - How does Security and compliance with IT departments fit into all of this? I’ve spoken to customers that have a policy of no AI tools at the personal level for instance or maybe client, company and private data might be at risk and only certain tools are vetted and approved. I’ve seen other companies only allow tools licensed by their corp IT. How do you navigate this issue? How does something like GDPR play here?Topic 7 - Last question, another AI specific concern we hear about is companies training models on user data. What is your thoughts here? How does a company fine tune and train new models and products but keep customer and company privacy from leaking out?FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Integration and Observability of 3rd Party APIs
Mar 13 2024
Integration and Observability of 3rd Party APIs
Eyal Solomon (@EyalSolomo44643, CEO/Founder of @lunardevapi) talks about integrating, controlling, and observability into 3rd party APIs and services. We discuss the trade-offs of integrating a 3rd party API and how it impacts simplicity and potential loss of insight.SHOW: 803CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendSHOW NOTES:Lunar.dev (homepage)Lunar.dev blogLunar.dev on TechCrunchTopic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.Topic 2 - Controlling 3rd party APIs is increasingly becoming an issue for many organizations. As the world gets built on APIs, consumption of another company's APIs to ingest services is critical. But, this leads to all sorts of control and potentially cost issues. Please give everyone an introduction to the problem.Topic 3 - Does this mean 3rd Party APIs are a tradeoff? Yes, you might be able to integrate APIs for a payment system for instance quickly, or maybe the latest AI SaaS service, but in doing so won’t an organization potentially lose oversight? Where do most organizations run into problems first? This reminds me of the early days of cloud and people leaving instances running and then getting huge bills and not knowing until it was too late. Is this similar?Topic 4 - We’ve seen a lot of products and companies tackling the issue of internal company APIs, but not 3rd party APIs. Once an organization determines they have a problem, maybe an observability problem, perhaps a cost problem, maybe a compliance issue, etc. how would they get started gaining API observability and control in their org? Topic 5 - Is this a solution that sits in traffic flow? Does this potentially introduce latency? Is this almost like a WAF for 3rd party APIs? What kinds of policies or restrictions can be put in place?Topic 6 - What are some of the most common use cases you’ve seen and how do you solve them? What business decisions have to be made if they decide to restrict access in some way?FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Observability and Visualizing Data with Grafana
Feb 28 2024
Observability and Visualizing Data with Grafana
Ronald McCollum (@RonaldMcCollam, Solutions Engineering @GrafanaLabs) talks about updates in the observability space and learning more about Grafana and data visualization.SHOW: 799CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to date with Enterprise Tech with theCUBELearn More About Azure Offerings : Learn more about Azure Migrate and Modernize & Azure Innovate!Azure Free Cloud Resource Kit : Step-by-step guidance, resources and expert advice, from SHOW NOTES:Grafana (homepage)Getting Started with Grafana Book by RonaldTopic 1 - Welcome to the show. Before diving into today’s discussion, tell us a little about your background.Topic 2 - We last talked about Grafana back in 2019 and 2020. Observability continues to be a hot topic, how are you seeing the open-source community and open-source tools evolve in this space?Topic 3 - We always hear about Grafana as a visualization tool. Grafana AND something (Grafana and Prometheus, Grafana and (insert logging/observability tool here). Is that still a fair assessment? Where does Grafana fit in a modern cloud-native observability stack these days?Topic 4 - When you are speaking to folks out there, where does the data visualization story resonate the most in the organization, and does it become at times political and cultural (meaning cultural changes need to happen)? There can be an ROI/Business case to be made; developers integrations that will need to happen, SRE operations changes, etc. How do you get something that likely spans many different parts of the organization on board?Topic 5 - Anytime I think about observability I think in two stages. Identification of the problem and resolution of the problem. Some tools address one or the other, and some attempt to do both. Where does Grafana fit on this continuum?Topic 6 - I have to ask the AI question. How has AI changed or in your opinion will change observability and visualization in the near future?Topic 7 - You’ve literally written the book on Grafana so this is a softball question. For those who are interested, how would you recommend they get started with GrafanaFEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Building a Keynote Presentation
Feb 25 2024
Building a Keynote Presentation
If you have to build a keynote presentation, or any presentation for a large audience, what are the key areas to focus on? Here’s some tips on story-telling and audience engagement.SHOW: 798CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendSHOW NOTES:BUILDING THE OVERALL STORYThink of your presentation as a story. It can be hero/villian, preacher approach (tell, tell, tell), an analogy, partially educational. Lots of different approaches work. Put yourself in the audience’s shoes. Who are they? Would they want to hear your story?What does the audience get out of your talk? THE KEY AREAS TO FOCUS ONAre you bringing the right level of energy for the room? Are you educating, or motivating, or introducing new ideas?Are you bringing empathy for your audience, or are you trying to portray confidence/leadership?Are you at the right level for the audience? Technical vs. Business. Prior knowledge required? What about a mixed audience?How are you interacting with the audience? Do they provide any feedback (raising hands, laughing at jokes, applause, etc.)?Plan for 2-3 minutes per slide. Try not to waste any slides. If you’re introducing new ideas, don’t make people listen AND read at the same time. Keep the visual simple and easy to view. “Sell” the important parts. Emphasize them. Alter the pace to ensure people get it. Use data (stats, graphs, charts) that make concepts easier to understand, or better emphasized.Use comparisons - especially with new ideas. Demonstrations can be valuable, but make sure it’s at the right level for the audience - and that it works (pre-recorded is an option)FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Validation and Guardrails for LLMs
Feb 21 2024
Validation and Guardrails for LLMs
Shreya Rajpal (@ShreyaR, CEO @guardrails_ai ) talks about the need to provide guardrails and validation of LLM’s, along with common use cases and Guardrail AI’s new Hub.SHOW: 797CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Learn More About Azure Offerings : Learn more about Azure Migrate and Modernize & Azure Innovate!Azure Free Cloud Resource Kit : Step-by-step guidance, resources and expert advice, from migration to innovation.CloudZero – Cloud Cost Visibility and SavingsFind "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to date with Enterprise Tech with theCUBESHOW NOTES:Guardrails AI (homepage)Guardrails AI HubGuardrails AI GitHubGuardrails AI DiscordShreya on TWIML podcastGuardrails AI on TechCrunchTopic 1 - Welcome to the show. Before we dive into today’s discussion, tell us a little bit about your background.Topic 2 - Our topic today is the validation and accuracy of AI with guardrails. Let’s start with the why… Why do we need guardrails for LLMs today?Topic 3 - Where and how do you control (maybe validate is a better word) outputs from LLM’s today? What are your thoughts on the best way to validate outputs?Topic 4 - Will this workflow work with both closed-source (ChatGPT) and opensource (Llama2) models? Would this process apply to training/fine-tuning or more for inference? Would this potentially replace humans in the loop that we see today or is this completely different?Topic 5 - What are some of the most common early use cases and practical examples? PII detection comes to mind, violation of ethics or laws, off-topic/out of scope, or simply just something the model isn’t designed to provide?Topic 6 - What happens if it fails? Does this create a loop scenario to try again?Topic 7 - Let’s talk about Guardrails AI specifically. Today you offer an open-source marketplace of Validators in the Guardrails Hub, correct? As we mentioned earlier, almost everyone’s implementation and guardrails they want to implement will be different. Is the best way to think about this as building blocks using validators that are pieced together?  Tell everyone a little bit about the offeringFEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Experiencing The Sphere in Las Vegas
Feb 18 2024
Experiencing The Sphere in Las Vegas
Stu Miniman (@stu, Senior Director of Market Insights @RedHat) talks about the experience of The Sphere (@SphereVegas) in Las VegasSHOW: 796CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spendSHOW NOTES:The Sphere (Las Vegas)What’s inside of The Sphere (video overview)Postcard from Earth (trailer)Stu’s “In the Clouds” interview seriesTopic 1 - Welcome back to the show. I think it’s fair to say that you’re a veteran of Las Vegas. How many times do you think you’ve been out there for tech-event related things? Topic 2 - With tech events coming back, and even non-tech events going live again, Las Vegas is going to be a destination for a lot of people around our community. What did you know about The Sphere prior to visiting this past week? Topic 3 - Tell us about the basics of The Sphere. How do you get there? Where is it in Las Vegas? What’s the entrance like?Topic 4 - Beyond the movies or concerts in the stadium, what else is going on in the building? Topic 5 - Let’s talk about the actual stadium experience. What’s the seating like, what are you seeing, how’s the sound? Topic 6 - Any tips or tricks for anyone considering a visit to The Sphere? FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
APIs and AI Gateways
Feb 14 2024
APIs and AI Gateways
Marco Palladino (@subnetmarco, CTO/Co-Founder @thekonginc) talks about the evolution of APIs, the need for consolidation and integration of AI APIs, and introduces the AI Gateway.SHOW: 795CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to date with Enterprise Tech with theCUBESHOW NOTES:Kong (homepage)What is an AI Gateway?Kong launches AI Gateway (Marco's blog on Kong homepage)Kong introduces AI Gateway (Silicon Angle)Hugging Face (AI model community)Topic 1 - Welcome to the show. Before we dive into today’s discussion, tell us a little bit about your background at Kong and prior to Kong.Topic 2 - Now that the world is obsessed with AI and AI Models, what roles do APIs continue to play for applications? Topic 3 - You’ve lived through the API marketplace days. Do you see a lot of differences between API marketplaces and model marketplaces (e.g. like HuggingFace)?Topic 4 - You’ve talked recently about the concept of an AI Gateway, somewhat as an evolution of an API Gateway. Walk us through this new concept.Topic 5 - API Gateways can provide a lot of protection for known things by looking into various headers, security keys, and packet data. Can you imagine AI Gateways being able to have insights into model data to do things like Prompt Control, Hallucination Control, etc.?Topic 6 - We’ve seen the merging of API Gateways (North/South) and Service Mesh (East/West) traffic as new application patterns emerged. Do you think we’ll see new traffic patterns again with AI traffic and AI model interactions? FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod