
Insights from recent episode analysis
Audience Interest
Podcast Focus
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Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
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Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇨🇴CO · Business#613K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
1.5K to 5K🎙 ~2x weekly·65 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
3K to 10K🇨🇴100% - Active Followers
Loyal subscribers who consistently listen
1.2K to 4K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 11 epsHost
Recent guests
Recent episodes
Why Inference Engineering Is the Next Big Role in AI with Philip Kiely
Jun 17, 2026
51m 44s
Distributed Systems, Linkerd, and the Cost of Network Calls with William Morgan from Buoyant
May 20, 2026
45m 55s
Making Software as Durable as Data with Peter Kraft from DBOS
Apr 15, 2026
43m 32s
Breaking the Pillars: Rethinking Observability with Charity Majors
Mar 18, 2026
50m 01s
How to Transform Dev Workflows with CI/CS and AI Agents with Tomer Karin
Feb 18, 2026
34m 25s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/17/26 | ![]() Why Inference Engineering Is the Next Big Role in AI with Philip Kiely | Most teams moving AI into production quickly discover that generating an output is the easy part; running it reliably, efficiently, and at scale is a discipline of its own.In this episode, David talks with Philip Kiely, engineer at Baseten and author of Inference Engineering, a free guide to building and operating AI inference systems. Philip argues that every company will soon need a dedicated team to own inference, and draws on his work at Baseten to explain why it demands fluency across GPU optimization, distributed systems, model correctness, and developer experience all at once. He walks through how agentic workloads are reshaping inference demands, which open-weight models are worth watching, and key optimization techniques including KV cache reuse, quantization, and speculative decoding. Grab your copy of Inference Engineering here: https://www.baseten.co/inference-engineering/ | 51m 44s | ||||||
| 5/20/26 | ![]() Distributed Systems, Linkerd, and the Cost of Network Calls with William Morgan from Buoyant✨ | service meshKubernetes+5 | William Morgan | LinkerdKubernetes+4 | — | service meshLinkerd+8 | — | 45m 55s | |
| 4/15/26 | ![]() Making Software as Durable as Data with Peter Kraft from DBOS✨ | durable executionworkflow tools+4 | Peter Kraft | DBOSStanford+1 | — | durabilityorchestration+4 | — | 43m 32s | |
| 3/18/26 | ![]() Breaking the Pillars: Rethinking Observability with Charity Majors✨ | observabilitydistributed systems+4 | Charity Majors | Honeycomb.ioFacebook+1 | — | observabilitythree pillars+4 | — | 50m 01s | |
| 2/18/26 | ![]() How to Transform Dev Workflows with CI/CS and AI Agents with Tomer Karin✨ | Continuous IntegrationContinuous Solution+4 | Tomer Karin | Cockroach Labsautomotive industry | — | CI/CDContinuous Integration+7 | — | 34m 25s | |
| 1/21/26 | ![]() AI, Market Cycles, and the Systems Built to Outlast Them with Cockroach Labs CEO & Co-founder Spencer Kimball✨ | database architectureresilience in systems+3 | Spencer Kimball | Cockroach LabsGoogle+3 | — | CockroachDBdatabase design+3 | — | 1h 01m 03s | |
| 7/1/25 | ![]() How to Scale Data Infrastructure from Startup to Enterprise✨ | data engineeringAI integration+3 | Nishant Raman | Cockroach LabsAI+3 | — | data infrastructurescalability+3 | — | 38m 12s | |
| 5/27/25 | ![]() Code, Cloud and Karate: The Unlikely Path to Cloud Architecture✨ | cloud architecturecareer journey+4 | Masaru Hoshi | Qliksite reliability engineering+2 | — | cloud architecturesite reliability engineering+4 | — | 40m 21s | |
| 5/13/25 | ![]() How to Build an AI-Native Organization✨ | AI in techresilient databases+4 | Peter Mattis | CockroachDBCockroach Labs | cloud | AIresilience+5 | — | 43m 06s | |
| 2/11/25 | ![]() Inside Infrastructure as Code with Pulumi’s Founder & CEO✨ | Infrastructure as Codecloud infrastructure+4 | Joe Duffy | PulumiCockroach Labs | — | Infrastructure as Codecloud resources+4 | — | 43m 53s | |
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| 1/28/25 | ![]() Inside Ericsson: How AI and Automation Are Shaping Telecom✨ | 5G technologytelecom automation+5 | Anand Bajaj | Ericsson5G | India | connectivitytelecom+7 | — | 53m 08s | |
| 1/14/25 | ![]() Unboxing the Cloud: AI, Microservices, and Resilient Databases✨ | cloud-native architecturesAI in database management+5 | Jim Hatcher | CockroachDBNVIDIA’s Jetson Nano+1 | financee-commerce | cloud computingmicroservices+7 | — | 54m 43s | |
| 10/29/24 | ![]() Strategic AI and Cloud Solutions: GitHub’s Blueprint for Modern Development Success | In this episode, David welcomes Ari LiVigni, Senior Cloud Solutions Architect at GitHub, for an engaging conversation about cloud infrastructure, cloud adoption, AI, and security. Join us as we discuss:The importance of effective cloud solutions for data protection and security, including a look at tools from GitHub, AWS, and Azure.GitHub's significant milestones, including its acquisition by Microsoft and the launch of innovative tools like pull requests and forking.How GitHub Copilot enhances productivity by enabling developers to focus on code prompts while automating routine tasks. | 39m 57s | ||||||
| 10/15/24 | ![]() Cloud Architecture in the Public Sector: Balancing Innovation and Security | Ever wondered how cloud architecture works in the public sector? In this episode, David Joy is joined by Nik Mayer, Principal Cloud Architect at Maximus, a company that partners with state, federal and local governments to provide critical health and human service programs. Nick discusses his journey into cloud architecture, emphasizing the impact of public cloud on innovation and accessibility. He also highlights the key differences between private and public sector cloud strategies, focusing on the heightened security and compliance requirements of government agencies.Key takeaways from the episode include:The importance of cloud computing in the public sectorThe challenges of migrating legacy systems to the cloudThe importance of balancing cost optimization with performance in federal cloud deploymentsThe value of continuous learning and diverse experiences in staying current with the rapidly evolving tech landscape | 1h 03m 00s | ||||||
| 10/1/24 | ![]() GenAI Meets Celebrity: Inside Cameo’s Journey from Startup to Stardom | This week, David is joined by Dom Scandinaro, CTO at Cameo, the platform that allows users to send personalized videos from celebrities and creators. Scandinaro gives an in-depth overview of Cameo’s rapid growth from a simple idea into a robust and deeply personalized fan experience platform with the digital infrastructure to match. Join us as we discuss:How Cameo’s tech stack has evolved as the company expands globallyWhy leaders need to have an in-depth understanding of their team’s abilities and limitationsHow Cameo is harnessing Generative AI for new products and platform features. | 50m 54s | ||||||
| 9/17/24 | ![]() The Journey From Mainframe to Adopting Generative AI With Equifax’s Senior Network Architect | In this episode, our host David Joy speaks with Samarth Shah, Senior Network Architect at Equifax to learn about the steps they took to modernize from the mainframe to the cloud, as well as the impact AI has on the industry.Join as we also discuss:The limitations of the mainframe and what enterprises need to consider when moving towards a cloud architecture.How to address modern security challenges including IAM controls, network segmentation, and DDoS protection.Innovative use cases for generative AI in network security, including how to automate defensive actions during cyber incidents. | 56m 27s | ||||||
| 8/6/24 | ![]() Modernizing Your Cloud Strategy with OneStream’s Senior VP of Cloud Architecture | In this episode, we dive into the heart of cloud architecture, disaster recovery, observability, and more with OneStream’s Senior VP of Cloud Architecture, Ryan Berry. Whether you're a tech enthusiast or finance professional, this episode offers indispensable knowledge on navigating modern cloud landscapes and optimizing financial software solutions.Join as we discuss:The importance of learning new cloud patterns for cost-effectiveness and higher migration success.The intricacies of scaling infrastructure, particularly during high-demand scenarios such as month-end and quarterly financial modeling.What companies need to consider when adopting the cloud. | 46m 25s | ||||||
| 7/23/24 | ![]() Driving digital transformation with Chief Architect at Altimetrik, Ignacio Segovia | In this episode, David is joined by Head of Product Engineering and Chief Architect at Altimetrik, Ignacio Segovia. From revolutionizing product engineering to harnessing the power of cloud technologies, Ignacio breaks down the themes of digital transformation in today's rapidly evolving landscape, and how Altimetrik fosters cultural alignment and innovation on their engineering teams.Join as we discuss:How Altimetrik approaches modernization and product engineering efforts across industries including financial services, payments, and more.The importance of user satisfaction and how it drives technical decision-making across every architectural layer.Insights into building high-performance teams, including Ignacio’s hiring principles and interview questions | 51m 16s | ||||||
| 7/9/24 | ![]() Discussing the Patterns of Distributed Systems with Unmesh Joshi | This week, David is joined by Unmesh Joshi, Principal Consultant at Thoughtworks and author of “Patterns of Distributed Systems” for a conversation on the technical intricacies that keep modern applications running smoothly. Join as we discuss:Key concepts behind distributed systems, including fault tolerance and consistency models, consensus algorithms, and more.Unmesh’s inspiration behind “Patterns of Distributed Systems,” and how he hopes to simplify complex concepts for developers.Technical predictions for distributed systems over the next five years. | 44m 36s | ||||||
| 6/25/24 | ![]() Scaling for 2 Billion Events Per Day with Principal Software Engineer at Red Ventures | With a growing library of media properties including CNET, Lonely Planet, and Bankrate, Red Ventures’ data platform has scaled from handling 16 million events per day to nearly 2 billion. To dive into the evolution of their architecture and understand how data effortlessly travels through their systems, our host David Joy sat down with Principal Software Engineer Majid Fatemian.Join as we discuss:Why Red Ventures migrated from SQL Server to Amazon RedshiftHow the data landscape has changed over the last two decadesThe challenges every leader should expect when running a data platformMajid’s time at Ubisoft and his involvement in one of David’s favorite games, Far Cry 2 | 36m 22s | ||||||
| 6/11/24 | ![]() Enabling a data-driven and innovative engineering culture at Amplitude | For the engineering team at digital analytics company Amplitude, real-time customer feedback and cutting-edge Northstar metrics play a significant role in helping them adapt their tech stack and stay ahead in a rapidly evolving market.To learn more about the innovative approaches at Amplitude, we sat down with their SVP of Engineering, Shadi Rostami, for a discussion on the significance of ownership, accountability, and a founder's mindset in shepherding a company's growth.Join as we discuss: Developing a growth mindset to enable a successful engineering careerShadi’s engineering principles including “ship fast with quality”How to scale platforms through informed data-driven prioritization and strategic product focus | 48m 32s | ||||||
| 5/28/24 | ![]() How to Simplify Your Software Architecture | Modernizing database infrastructure can solve more than just data problems. It can also simplify your software architecture and the way your engineering organization works.In this episode, David sits down with technical evangelist, Rob Reid from Cockroach Labs, to discuss the importance of architectural simplification through proven patterns, real-world examples, and practical use cases. Join as we discuss:The benefits of simplifying your data architectureWhy you should think of regulations as part of your architectureHow in some cases, running a database across three data centers can be cheaper than twoWhat to know about selecting the right database for your use case | 42m 46s | ||||||
| 5/14/24 | ![]() Behind the scenes with Vimeo’s Director of Enterprise Architecture | “Customer experience is top priority, if the customer isn’t happy and you scale it, it doesn’t matter, nobody's gonna use it!”This week, David is joined by Sachin Joshi, Director of Enterprise Architecture at Vimeo, to discuss customer experience as the north star of architecture work, the evolution and impact of AI, and Vimeo's code-to-cash process for business efficiency. Join us as we discuss:Vimeo's enterprise architecture, integration, and automationHow to prioritize customer experience when scaling applicationsMonolithic vs microservices architecture | 40m 43s | ||||||
| 4/30/24 | ![]() The Power of Data Streaming with Confluent’s Head Of Technology | How to leverage real-time data processing for enterprisesIn this episode, David is joined by Andrew Sellers, Head of Technology at Confluent, to discuss the dynamic world of data streaming and its transformative impact in the enterprise as well as everyday applications. Andrew sheds light on the evolution of data infrastructure and how Confluent is constantly working to revolutionize data management with its platform.Join us as we discuss: The pivotal role of technologies like Kafka and Apache Flink in application architecturesHow data streaming translates into tangible business value, from improved decision-making to enhanced operational efficiencyForesight into the evolving trends in real-time data processing, including why data streaming will ultimately make generative AI better | 47m 35s | ||||||
| 4/23/24 | ![]() Discussing Data Trends in the AI Era | Developers need a toolkit to build AI into their applications – models, functions, & data, Hypermode does just that. To learn how the world of data and databases have been rapidly evolving for the age of AI, we sat down with their CTO Gajanan Chinchwadkar (previously Chief Systems Architect at Visa). Join as we discuss:The evolution of database technologies from niche markets to a $100 billion industry with over 8000 options. Scaling databases in different organizational contexts, and strategies for staying up-to-date with industry trends.How AI will impact the programming landscape. | 38m 22s | ||||||
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Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.

























