The Cloudcast

By 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 tec

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FAQs about The Cloudcast:

How many episodes does The Cloudcast have?

The podcast currently has 1,034 episodes available.

The Cloudcast episodes:

June 01, 2025Sam, Jony, McGuffin and Vaporware
Is it ever a good time for a company to announce vaporware? Let’s discuss the pros and cons of pre-announcements, vaporware, and the strategy of products that may or may not ever exist.
SHOW: 928
SHOW TRANSCRIPT: The Cloudcast #928 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:
[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US Cloud
[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.

SHOW NOTES:
The McGuffin “Challenge” - Software Defined Talk (May 30, 2025)
McGuffin (Wikipedia)

IS IT EVER A GOOD TIME TO PRE-ANNOUNCE SOMETHING? OR VAPORWARE ON PURPOSE?
Russ Hanneman (Silicon Valley) - “No Revenue”
Set a big ambition for the company
Distract the market from current company challenges
Distract your competitors to chase something where they don’t have strengths
Probe the market for ideas - sort of like a “leak”
Get the market to pump your valuation, so you can take other actions
Stall your customers from potentially buying a competitive offer
FEEDBACK?
Email: show at the cloudcast dot net
Twitter/X: @cloudcastpod
BlueSky: @cloudcastpod.bsky.social
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
30min
May 28, 2025Preventing AI Hallucinations
Anand Kannappan (@anandnk24, CEO @PatronusAI) talks about evaluating AI models for hallucinations, managing data quality, automating the process, and optimizing models.
SHOW: 927
SHOW TRANSCRIPT: The Cloudcast #927 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:
[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.
[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US Cloud

SHOW NOTES:
Patronus AI website
Topic 1 - Welcome to the show, Anand. Give everyone a quick introduction.
Topic 2 - Our topic today is Preventing AI Model Hallucinations. Before we dig into that, I wanted to ask about your time as Lead Data Scientist at Meta. What was it like to be early into that organization, and what did you take away from your time there?
Topic 3 - Ok, let’s dig into model evaluations and hallucinations. Let’s start at the beginning. How do model hallucinations come about?
Topic 4 - When evaluating models for hallucinations, how does a developer or a data scientist know fact from fiction? Due to its size, complexity, and number of parameters, it’s not feasible to simply fact-check and manually verify inputs to outputs. How is this process evaluated and automated with some level of confidence? Additionally, numerous benchmarks are available. What are your thoughts on the usefulness of the benchmarks?
Topic 5 - How does the concept of data quality play into this? How would we know when a model was given insufficient or improper data vs. a hallucination
Topic 6 - We often hear about how frontier models are running out of training data, and increasingly, synthetic data is being used. Does this impact hallucinations in any way?
Topic 7 - The last item I wanted to ask you about, Partonus AI, also pertains to model optimization. Can you explain that process?

FEEDBACK?
Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
28min
May 25, 2025AI and the 95% vs 5% debate
The industry is debating whether AI should be viewed as augmenting or replacing human-centric tasks. But we don’t yet have a framework to discuss the technical and business impacts of that spectrum of decisions.
SHOW: 926
SHOW TRANSCRIPT: The Cloudcast #926 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:
[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US Cloud
[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.
SHOW NOTES:
The final 5% of AI success

HOW DO WE THINK ABOUT THE INVOLVEMENT OF HUMANS WITH AI SYSTEMS?
What do we think AI systems should be capable of?
What do we think human systems should be capable of?
We know how to quantify error, but do we really know how to quantify error?
Almost every question about AI comes down to augment vs. replace, and yet humans tend to skew towards the replace angle.
We like the thought of humans in the loop, but often don’t want to be bothered to interact with humans
We haven’t yet created a framework to think about the human +/- AI involvement, because we haven’t really created it for general-purpose automation yet either.
FEEDBACK?
Email: show at the cloudcast dot net
Twitter/X: @cloudcastpod
BlueSky: @cloudcastpod.bsky.social
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
30min
May 21, 2025Universal Data Representation for AI
Joel Christner, (@joelchristner, Founder/CEO at @viewyourdata) discusses the complexities of data management in AI, structured and unstructured data, the importance of RAG pipelines and vector databases.
SHOW SUMMARY: Aaron and Joel discusses the complexities of data management in AI, focusing on the concept of universal data representation. They explore the challenges organizations face with structured and unstructured data, the importance of RAG pipelines and vector databases, and the implications of data privacy in regulated industries. The conversation also touches on managing model versions and the emerging patterns in AI tooling that can help enterprises effectively utilize AI technologies.
SHOW: 925
SHOW TRANSCRIPT: The Cloudcast #925 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:
[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.
[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US Cloud

SHOW NOTES:
View.io website

Topic 1 - Welcome to the show, Joel. Give everyone a quick introduction.
Topic 2 - Our topic today is everything data and how to represent it and embed it into AI systems. First, what is the challenge with data, structured or unstructured, in organizations today and what is behind the concept of Universal Data Representation
Topic 3 - Industry or customer specific data today is big challenge for organziations, especially in highly regulated industries such as healthcare, financial services, etc. The most prevalent solution I am seeing is taking an existing foundational model and then adding a RAG pipeline vs. the cost and time to fine tuning. What are you seeing?
Topic 4 - Even when companies have good data, that doesn’t mean that data makes it into the AI pipeline correctly, this is where the embedding problem and your concept of Universal Data Representation comes into play, correct?
Topic 5 - But, once you get the first model out, then what? How should the data and models be handled over time? How do you create a platform and a continuous feedback loop to improve the results over time?
Topic 6 - What are the most successful use cases you are seeing today with your customers?

FEEDBACK?
Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
29min
May 18, 2025Where do Developer-Assistants go next with AI?
Where does the next phase of AI-assistants for software development go next? Is it an evolution of developer productivity, or a complete rethinking of the barriers and limitations for broader software development?

SHOW: 924
SHOW TRANSCRIPT: The Cloudcast #924 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:
Cut Enterprise IT Support Costs by 30-50% with US Cloud

SHOW NOTES:
WHERE DO AI DEVELOPER-ASSISTANTS GO NEXT?
A year ago it felt like co-pilots were one of the entry point use-cases for AI.
Since then we’ve seen numbers say the uplift is 10-20% productivity.
Microsoft claims that 20-30% of their code is now written by AIs.
We’ve seen many senior developers speakout that it’s not replacement level technology and they don’t trust it.
Companies like Cursor have a $9-10B valuation. Windsurf just got purchased for $3B by OpenAI.
Microsoft has Co-Pilot (based on OpenAI models). Google and Amazon are rumored to be launching their own.
Lots of companies are launching agents (IBM, Salesforce, Oracle, etc.), and lots of agent frameworks now exist.
So where does it go next? Is it just wide-spead adoption of developer productivity?
Is it specialized functions within developer workflows? (e.g. CI/CD, documentation, security evaluations, bug fixes, long-term maintenance, etc.)
How far are we from teams being just a few architects, leads, Sr. Devs, and then teams of AI’s (agents, etc.)?
Is that a good thing for Sr. Dev personalities that didn’t want to focus on soft-skills?
Does that allow for greater experimentation against feature-requests or stories, since they can create more, test more, etc.?
Do we start to see companies create skunkworks teams/groups that try to adopt this approach?
Are product managers ready to have zero-backlogs and the demand for new ideas to increase?

FEEDBACK?
Email: show at the cloudcast dot net
Twitter/X: @cloudcastpod
BlueSky: @cloudcastpod.bsky.social
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
26min
May 14, 2025Building Customer-First Products
Siqi Chen (@blader, CEO/CFO @Runwayco), talks about his journey from JPL developer to Founder of a financial planning and analysis (FP&A) startup. We focus on how to build products that customers crave and how a customer-centric view differs from traditional product management.
SHOW: 923
SHOW TRANSCRIPT: The Cloudcast #923 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:
Cut Enterprise IT Support Costs by 30-50% with US Cloud
SHOW NOTES:
Runway website
Behind What Seems Like an Overnight Success (video)

Topic 1 - Welcome to the show, Siqi. First, your combination of technical and business/financial background is fascinating. How did you go from coding at NASA to Head of Product at Zynga to CEO/CFO for a finance platform startup? Give everyone a quick introduction.
Topic 2 - One thing I’ve noticed as a trend in your background is the core concept of building. What has been your philosophy in building products? How do you build products that customers demand?
Topic 3 - Let’s talk about AI and AGI for a moment. We hear all the time how disruptive this will be. What are your thoughts here, and how do we develop both adaptability and resiliency to new technologies?
Topic 4 - Let’s talk FP&A (financial planning & analysis). Our core listeners out there tend to skew more towards the tech and infrastructure side, but a core theme of this show is always to be learning as much of the business as possible to apply those concepts. As someone with a background in both worlds, plus now running an FP&A startup, what do you wish folks on the technical side of the house knew more about to make their jobs easier?
Topic 5 - We posted a link in the show notes for a video you did on the “overnight success” of Runway. It was a good representation and origin story of how something can go viral with the right mindset and product-market fit. Tell everyone about that as Runway approaches 5 years now.
Topic 6 - What is your biggest challenge in the FP&A space today? Is it AI? We’ve seen a lot of AI disruption in coding, legal, and other areas requiring deep data pool insights. Is this any different?

FEEDBACK?
Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
27min
May 11, 2025WhyQ vs. It is what it is
Tech CEOs are making bold proclamations, from WhyQ to It is what it is. How will companies navigate this spectrum as they seek innovation, accountability and profitability throughout 2025?
SHOW: 922
SHOW TRANSCRIPT: The Cloudcast #922 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:
Cut Enterprise IT Support Costs by 30-50% with US Cloud

SHOW NOTES:
Amazon 2024 CEO Letter to Shareholders - A Why Culture
Uber CEO says “it is what it is” about changing benefits

WHEN DOES WHY BECOME IT IS WHAT IT IS?
Communicating is difficult, especially as the company grows in size (or is remote)
Communicating change is difficult, even when communication channels are strong
Outside of finance, tech tends to pay at the high end of salaries and perks
We’re in an interesting time of challenging economics and pressure from AI
Perks are difficult to pull back, because business success isn’t evenly rewarded
Why is positioned as open culture, or strategy, but it’s also about day-to-day behavior
It is what it is a decision, but it’s also accountability and continued viability
Most leaders are going to have to manage between Why and It is what it is in 2025
Most workers are going to have to work between Why and It is what it is in 2025

FEEDBACK?
Email: show at the cloudcast dot net
Twitter/X: @cloudcastpod
BlueSky: @cloudcastpod.bsky.social
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
25min
May 07, 2025AI & Cloud Trends for April 2025
Aaron Delp, Brian Gracely, and Brandon Whichard discuss the top stories in Cloud and AI from April 2025, including OpenAI, MCP, VibeCoding and Hyperscaler earnings.
SHOW: 921
SHOW TRANSCRIPT: The Cloudcast #921 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:
Cut Enterprise IT Support Costs by 30-50% with US Cloud
SHOW NOTES:
Link to April 2025 News and Articles
FEEDBACK?
Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
32min
May 04, 2025The Early AI Journey and Learning Curve
As more companies begin to adopt AI into their workforce and day-to-day processes, it will be interesting to watch how their learning curve is spread across knowledge workers.

SHOW: 920
SHOW TRANSCRIPT: The Cloudcast #920 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:
Cut Enterprise IT Support Costs by 30-50% with US Cloud

SHOW NOTES:
AI Horseless Carriages (AI user-experiences)

HOW WILL WE VIEW AN AI AGENT IN THE CONTEXT OF HUMANS OR “USERS”
The low-hanging fruit, simple on-ramp is the key to early AI adoption
Google and Microsoft are already showing revenue increases, likely through the productivity apps bundling
Expect prices to increase slowly, but frequently as adoption happens and companies get used to the knowledge worker productivity increases (or expectations)
Curious how knowledge workers are adopting, sharing, increasing their learning curve
Sharing still seems to be lacking within the AI tools. Not just sharing of an individual task, but sharing of learning curves, best practices, datasets
Is there a dataset collection opportunity? This feels like Big Data or Data Lake 5.0.

FEEDBACK?
Email: show at the cloudcast dot net
Twitter/X: @cloudcastpod
BlueSky: @cloudcastpod.bsky.social
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
22min
April 30, 2025DevOps Meets Platform Engineering
Mark Freydl (CEO/Founder @codiacio) talks about the challenges of blending IaaC, DevOps and Platform Engineering to drive efficient software development lifecycles.

SHOW: 919
SHOW TRANSCRIPT: The Cloudcast #919 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"
SHOW NOTES:
Codiac website
Codiac at Tech Field Day

Topic 1 - Welcome to the show, Mark. Give everyone a quick introduction.
Topic 2 - Before we dig into the tech, let’s start with the problem. What problem were you seeing in software development that wasn’t being solved with IaaC, Platform Engineering, DevOps, etc.? Where does SDLC fit into this?
Topic 3 - Have microservices helped or hurt? We hear all the time about the loose coupling of microservices and benefits towards production, but doesn’t that also make it harder to develop? How do you recreate an environment where you are dependent on a bunch of microservices in a development pipeline?
Topic 4 - I get the feeling this is all about removing friction. But where and how? I see Kubernetes as a blessing and curse many times. It’s an awesome application platform, as long as you aren’t the one that has to do the care and feeding on it. Thoughts?
Topic 5 - The goal here I believe is a closed loop system that is beneficial for developers and SRE’s, but how do you balance closed loops vs. extensibility and abstraction of different platforms to the systems that are truly write once.
Topic 6 - How does the culture and relationships in the org have to change to meet the changes in the tech?

FEEDBACK?
Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
Instagram: @cloudcastpod
TikTok: @cloudcastpod
...more
27min

FAQs about The Cloudcast:

How many episodes does The Cloudcast have?

The podcast currently has 1,034 episodes available.

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