In this episode, Alexa welcomes Swagat Kulkarni, a Senior Solutions Architect at Amazon Web Services, to discuss the intersection of AI, cloud innovation, and enterprise reality. Swagat shares his experience guiding large-scale digital transformations, emphasizing that success often hinges on people and culture, not just technology. They explore the rise of agentic AI, the challenges of moving from proof-of-concept to production , and the surprisingly crucial skill every tech leader needs: storytelling. Tune in to find out more about how to architect resilient systems that balance innovation with reality and why the future of tech depends on our ability to learn, unlearn, and relearn.
You can also watch on YouTube: https://www.youtube.com/@alexa_griffith
And listen on Spotify: https://open.spotify.com/show/1tnV8Qk6SEw1Dr9Tqikr0H?si=ecU279HXTSa9issXm1jVmQ
Links
Linkedin: https://www.linkedin.com/in/swagat-kulkarni/
Keywords
AI, digital transformation, cloud computing, agentic AI, storytelling, solutions architect, AWS, technology adoption, open source, innovation
Takeaways
Digital transformation is about creating agility in organizations.
Storytelling is crucial for conveying technical concepts to customers.
AI adoption requires a clear understanding of the problems to solve.
Simplicity in architecture leads to better outcomes.
Cultural shifts are essential for successful digital transformation.
Open source technologies can accelerate innovation.
Customer feedback drives AWS's service development.
Continuous learning is vital in the tech industry.
Data readiness is critical for AI success.
Leadership buy-in is necessary for transformation projects.
Chapters
00:00 Introduction to AI and Digital Transformation
02:26 Swagat Kulkarni's Journey in Tech
05:24 Role of a Solutions Architect at AWS
08:13 The Importance of Storytelling in Tech
11:10 Understanding Digital Transformation
15:05 Successful Transformation Projects
17:09 Agentic AI and Its Real-World Applications
20:13 Challenges in Adopting Agentic AI
24:05 Customer Feedback and AWS's Approach
29:59 Success Factors in Digital Transformation
32:53 Embracing a Technology Mindset
34:31 The Role of Leadership in Innovation
35:40 Surprises in Customer Awareness
37:52 Knowledge Sharing Dynamics in Organizations
39:26 Cultural Shifts in Knowledge Sharing
40:33 Exciting Tools for Developer Efficiency
42:48 Misconceptions in AI Adoption
44:33 Designing Resilient Architectures
47:27 Feedback Loops and Continuous Improvement
49:03 The Value of Open Source
51:11 The Importance of Documentation in Open Source
52:37 The Power of Storytelling in Tech
57:12 Quickfire Questions and Final Thoughts
01:00:21 general_outro.wav
In this episode of Alexa’s Input AI, I sit down with Cenk Sidar, founder and CEO of Enquire AI, a platform that blends +75,000 vetted experts with generative AI to deliver decision-ready insights. We talk about how AI is reshaping our work, why proprietary data and unique workflows matter more than ever, and what it means to build models that combine AI with human judgment. Cenk also shares the story of starting Enquire AI, how expert interviews became automated through AI agents, and why the last 2% of wisdom still belongs to people.
Summary
In this conversation, Cenk Sidar, founder and CEO of Enquire AI, discusses his entrepreneurial journey and the evolution of his platform, which combines human expertise with AI to provide insights for market research. He explains the necessity of integrating AI into expert consultation, the unique functionalities of Enquire AI, and the future of human expertise in an AI-driven world. The discussion also touches on the recent funding round for Enquire AI and its implications for the company's growth.
Takeaways
Cenk Sidar's entrepreneurial journey began out of necessity.
Enquire AI connects organizations with experts using AI.
The platform evolved from a global policy consultancy to a broader expertise provider.
AI integration enhances the quality and speed of insights.
Human expertise remains crucial in interpreting data and making decisions.
The competitive landscape for knowledge professionals is changing due to AI.
AI tools can augment human capabilities but cannot replace wisdom.
The importance of continuous learning and adaptation in the AI era.
Funding will help Enquire AI expand its capabilities and reach.
Observing market trends is essential for innovation.
Chapters
00:00 Introduction to Enquire AI and Its Vision
02:11 Cenk Sidar‘s Entrepreneurial Journey
08:23 Understanding Enquire AI's Functionality
11:59 The Value of Expert Insights in Today's Market
20:26 Integrating Gen AI with Expert Consultation
27:38 Evolution of Enquire AI and Decision-Making Process
32:36 Key Components for Success in Gen AI
36:11 Innovative AI Interview Features
40:56 The Hierarchy of Insight and Wisdom
46:24 The Last Mile of Analysis
50:42 The Future of Work in the Age of AI
54:26 Expanding AI Research Capabilities
In this episode, Matt Biringer shares his journey from a successful career in tech sales to founding North Cloud, an AI-powered platform designed to optimize cloud finances. He talks about the hurdles and prospects in the cloud optimization market, the role of sales skills in leadership, and how he maintains mental clarity by practicing jiu-jitsu. Matt also discusses North Cloud's unique features, like its Green Ops sustainability initiative, and explains how he developed a client-retention strategy through a savings-fee model.
This is a great listen and was an enjoyable interview for me - Matt has an impressive story and insights.
Links
LinkedIn: https://www.linkedin.com/in/mattbiringer/
North Cloud Website: https://www.north.cloud/about
Blogs, Articles
5 FinOps Strategies Every DevOps Team Should Adopt
Keywords
AI, cloud optimization, startup, entrepreneurship, North Cloud, FinOps, sustainability, technology, leadership, business strategy
Takeaways
Matt Beringer transitioned from a successful tech sales career to entrepreneurship.
The idea for North Cloud emerged from recognizing the complexities of cloud financial management.
Sales skills are crucial for startup founders, especially in revenue generation.
The pressure to maintain growth in a startup can be intense and self-imposed.
Practicing jiu-jitsu provides mental clarity and decision-making skills.
North Cloud serves as an AI operating system for optimizing cloud finances.
Cloud providers often lack incentives to help customers optimize costs effectively.
Data analysis is key to understanding cloud usage and costs.
Green Ops aims to help companies manage their carbon footprint in the cloud.
The future of FinOps will involve multi-cloud strategies and AI-driven solutions.
Chapters
00:00 The Leap of Faith: Leaving a Successful Career
03:30 Identifying Opportunities in Cloud Optimization
06:32 Understanding the Cloud Cost Landscape
09:37 Sales Skills that Shape a Startup CEO
12:31 The Balancing Act of Startup Growth
15:29 Mental Resilience Through Jujitsu
18:34 Introducing North Cloud: The AI Solution
21:23 Data-Driven Decisions for Cloud Savings
24:26 Ensuring Security in Cloud Management
34:41 Harnessing Historical Data for Immediate Insights
36:29 User Experience and Simplifying Adoption
39:35 Innovative Pricing Models and Customer Relationships
42:08 The Importance of Sustainability in Cloud Operations
53:53 The Future of FinOps and AI Integration
56:29 Building a Strong Team and Overcoming Knowledge Gaps
01:00:52 Advice for Aspiring Entrepreneurs
01:03:22 general_outro.wav
In this episode of Alexa's Input (AI), Laura Smith, Principal at ILO Group - a women-owned education strategy and policy firm, joins host Alexa Griffith to delve into the transformative impact of AI in K-12 education. We explore how AI is reshaping classrooms, enhancing personalized learning, and streamlining administrative tasks. Laura shares insights on the challenges and opportunities AI presents for educators and students alike.
Discover how AI tools are being integrated responsibly to support teaching and learning, and what the future holds for AI in education. Tune in to understand the balance between innovation and responsibility in this rapidly evolving field.
Listen on Spotify: https://open.spotify.com/show/1tnV8Qk6SEw1Dr9Tqikr0H
Watch on YouTube: https://www.youtube.com/@alexa_griffith
You can now watch on YouTube! Find more from this podcast at https://creators.spotify.com/pod/profile/alexagriffith/
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input on X (https://x.com/alexasinput) to get notified when a new podcast episode comes out.
Keywords
AI in education, K-12, AI implementation, education technology, stakeholder engagement, data security, AI adoption trends, responsible AI, educational initiatives, technology in classrooms
Takeaways
AI is transforming education and requires careful implementation.
Stakeholder engagement is crucial for successful AI integration.
There are risks associated with AI that need to be managed.
Professional learning is essential for educators using AI tools.
Community feedback shapes how AI is used in schools.
Different states have varying approaches to AI in education.
Data security is a significant concern with AI technologies.
AI can enhance operational efficiency in educational settings.
Establishing clear guidelines for AI use is necessary.
The landscape of AI in education is rapidly evolving.
Chapters
00:00 Introduction to AI in Education
01:22 Navigating AI Implementation in Schools
03:12 Current Landscape of AI in Education
05:38 Vision-Driven AI Adoption
08:28 Key Initiatives for AI Integration
10:45 Overcoming Technological Barriers
11:45 Evolution of AI in Education
12:43 Shifts in Educational Approaches to AI
14:38 Diverse Perspectives on AI Usage
17:56 Challenges in AI Integration
19:48 Understanding Data Security Risks
23:10 Engaging Stakeholders in AI Discussions
25:03 Balancing Innovation with Responsibility
26:57 Product Evaluation and Selection
28:47 Successful AI Applications in Schools
In this conversation, Adam Anzuoni, co-founder of an AI onboarding automation startup SimpleStack, shares his journey in the tech industry, discussing his experiences as a CTO and the lessons learned that led to the creation of SimpleStack. We discuss the challenges faced by fast-growing startups in managing their tech stack, how SimpleStack aims to simplify user provisioning and authentication, the integration of AI agents in business processes, the importance of knowledge sharing in tech, and more!
This is a great listen for those interested in learning more about building AI solutions, the startup path, and leadership
Listen on Spotify: https://open.spotify.com/show/1tnV8Qk6SEw1Dr9Tqikr0H
Watch on YouTube: https://www.youtube.com/@alexa_griffith
Links:
Linkedin: https://www.linkedin.com/in/adamanz/
Substack: https://substack.com/@adamanzuoni
SimpleStack LinkedIn: https://www.linkedin.com/company/mysimplestack/about/
SimpleStack Website: https://mysimplestack.com/
You can now watch on YouTube! Find more from this podcast at https://creators.spotify.com/pod/profile/alexagriffith/
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input on X (https://x.com/alexasinput) to get notified when a new podcast episode comes out.
Chapters00:00 Introduction to Adam Anzoni and SimpleStack
01:24 Adam's Journey in Tech and Lessons Learned
02:40 Launch Experience at Google Cloud Next
06:14 Transitioning from CTO to Co-Founder
07:47 Understanding SimpleStack's Purpose and Problem Solving
10:12 Identifying Market Gaps and Competitors
12:49 Target Audience and User Experience
15:54 Challenges in Building SimpleStack
17:32 Design Principles and Customer Feedback
18:53 Building Team Culture and Hiring Plans
22:06 Finding a Co-Founder and Networking Benefits
26:31 Investment Strategies and Future Plans
27:29 Leveraging AI for Enterprise Solutions
29:21 The Role of Leadership in Tech
31:09 Educating the Community on AI
34:29 The Evolution of AI Agents
39:02 Automating Onboarding Processes
42:31 Building Trust in AI Technologies
48:09 Future of AI Integration
51:39 Roadmap for SimpleStack's Growth
In this episode of Alexa’s Input (AI), Sabih Siddiqi, a former Big Law litigator turned legal tech founder, joins to explore the future of AI in law. Sabih spent seven years navigating the complexities of dispute resolution and transactional work before launching Iqidis, a startup on a mission to build the “legal operating system” for modern lawyers.
We talk about:
• What other legal AI tools get wrong — and how Iqidis is different
• The risks and rewards of leaving a successful legal career to build a startup
• How legal practice is evolving with AI-powered associates
• Why small firms are leading the AI adoption curve
• What it means to truly build “by lawyers, for lawyers”
Whether you’re a founder, a legal professional, or just curious about how AI is reshaping traditionally risk-averse industries, this one’s for you.
You can now watch on YouTube! Find more from this podcast at https://creators.spotify.com/pod/profile/alexagriffith/
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
On this episode of Alexa’s Input (AI) with Demetrios Brinkmann, leader of the ML Ops Community, talks about the rise of AI agents, why real communities matter more than influencer hype, and how AI’s economics are shifting in surprising ways. We dive into what makes agent UX so tricky, why the cost of AI answers is going up even as token prices fall, and why 2025 is the “year of the agent.” Demetrios also shares advice on creating real impact in AI today - and why now’s the time to share your expertise.
You can now watch on YouTube! Find more from this podcast at https://creators.spotify.com/pod/profile/alexagriffith/
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
In this episode of Alexa’s Input (AI), I’m joined by Max Körbächer, Managing Director & Founder of Liquid Reply and author of Platform Engineering for Architects. We cover the real-world challenges of platform engineering, from treating platforms as products to cloud migrations and AI integration. Max also shares insights on the Linux Foundation’s open source efforts, the push for environmental sustainability in tech, how workplace dynamics are evolving with the next generation of engineers, and much more!You can now watch on YouTube! Find more from this podcast at https://creators.spotify.com/pod/profile/alexagriffith/Links: LinkedIn: https://www.linkedin.com/in/maxkoerbaecher/Company: https://liquidreply.net/en/Book: https://www.amazon.de/dp/1836203594/ref=cm_sw_r_cp_ud_dp_8ZJWYNK7C2CW0KHX8C5M?skipTwisterOG=1
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
On this episode of Alexa’s Input (AI), we’re diving deep into the world of distributed databases with Patrick McFadin, Principal Technical Strategist at DataStax and a leading voice in the Apache Cassandra community. Patrick shares his journey into tech and how he became one of the foremost experts on Cassandra—an open-source, highly scalable NoSQL database that powers mission-critical applications across the globe.
We explore Cassandra’s unique architecture, its approach to the CAP theorem, real-world use cases, and how it continues to evolve in the era of AI and real-time analytics. Whether you’re a developer, architect, or just database-curious, this episode offers a clear, insightful look at how Cassandra handles scale, availability, and open-source innovation.
Links:LinkedIn: https://www.linkedin.com/in/patrick-mcfadin-53a8046/DataStax: https://www.datastax.com/our-people/patrick-mcfadinX: https://x.com/patrickmcfadinGithub: https://github.com/pmcfadinYou can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
Amin Abou-Gallala, a data engineering expert at IBM and the mind behind Data Is Everything blog, joins as guest for this episode and dives into the world of data engineering, AI-powered automation, IBM watsonx, and Retrieval-Augmented Generation (RAG). Amin shares his insights on the future of AI-driven data processing, the role of agentic AI in enterprise applications, and how companies can leverage modern data infrastructure to drive innovation. Whether you’re a data engineer, AI enthusiast, or just curious about the next wave of AI-powered applications, this episode is packed with valuable takeaways.
Links:
LinkedIn: https://www.linkedin.com/in/amin/
Blog: https://dataiseverything.blog/
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
Security isn't an afterthought-it's the foundation of modern infrastructure. In this episode, Dan Walsh, Senior Distinguished Engineer at Red Hat, dives deep into the critical role of SELinux in container security and how it thwarts real-world vulnerabilities. We also explore Dan's latest project, Ramalama, which is bridging the gap between Al models and container technology, making Al enterprise-ready. If you've ever wondered how to balance security, usability, and innovation, this episode is must listen!
Links:
LinkedIn: https://www.linkedin.com/in/dan-walsh-a8729b2/
Podman: https://podman.io
Buildah: https://buildah.io
CRI-O: https://cri-o.io
Skopeo: https://github.com/containers/skopeo
SELinux Project Documentation: https://selinuxproject.org
SELinux Coloring Book (Explains SELinux visually): https://github.com/SELinuxProject/selinux-coloring-book
Ramalama GitHub Repository: https://github.com/containers/ramalama
Introduction to Ramalama (Blog post, if available): Add a link if Daniel has written one or plans to.
"Podman in Action" by Daniel Walsh (Free PDF from Red Hat): https://developers.redhat.com/podman-in-action
Purchase "Podman in Action" on Amazon: https://www.amazon.com/Podman-Action-Daniel-J-Walsh/dp/1617299427
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
Containers rule the modern tech world—and in this episode, we’re unpacking their evolution with Daniel Walsh, Senior Distinguished Engineer at Red Hat and the engineer behind tools like Podman, Builda, CRI-O, Ramalama, and SELinux. From replacing Docker to redefining Kubernetes workflows, Daniel shares his incredible story, the origins of these tools, and how open source innovation fuels everything. If you’re curious about container security, rootless tech, or the future of Kubernetes, you won’t want to miss part one of this conversation!
Links:
LinkedIn: https://www.linkedin.com/in/dan-walsh-a8729b2/
Podman: https://podman.io
Buildah: https://buildah.io
CRI-O: https://cri-o.io
Skopeo: https://github.com/containers/skopeo
SELinux Project Documentation: https://selinuxproject.org
SELinux Coloring Book (Explains SELinux visually): https://github.com/SELinuxProject/selinux-coloring-book
Ramalama GitHub Repository: https://github.com/containers/ramalama
Introduction to Ramalama (Blog post, if available): Add a link if Daniel has written one or plans to.
"Podman in Action" by Daniel Walsh (Free PDF from Red Hat): https://developers.redhat.com/podman-in-action
Purchase "Podman in Action" on Amazon: https://www.amazon.com/Podman-Action-Daniel-J-Walsh/dp/1617299427
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
In this episode of Alexa's Input (AI), we’re diving into the intersection of artificial intelligence and law with Joshua Cantrell, a seasoned attorney from Griffith Law in Nashville, Tennessee. Joshua shares insights from his new book, which explores how AI is reshaping the legal profession, from improving efficiency to tackling ethical and regulatory challenges.
Join us as we discuss practical applications of AI in the courtroom, from creating compelling visuals and preparing witnesses to streamlining legal research and jury selection. Joshua also talks on the cultural shifts in law, the future of AI in legal roles, and how the technology is both empowering and disrupting the field.
Whether you're a tech enthusiast, legal professional, or just curious about how AI is influencing the justice system, this episode is packed with thought-provoking insights and actionable ideas. Don’t miss it!
Links:
You can support this podcast on the creators page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
Devansh, the writer behind the popular Substack Artificial Intelligence Made Simple (@chocolatemilkcultleader), joins on this episode for an in-depth discussion on the pressing issues in AI ethics. Devansh talks about his experiences advocating for safer social platforms, his controversial takes on 'morally aligned' LLMs, and the underlying ethical issues in tech that often go unnoticed. An insightful episode for anyone interested in AI, tech policy, or the intersection of technology and society.
Links
You can support this podcast on the anchor page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
Join us on this episode as we explore the forefront of cloud-native application development with Kendall Roden, Product Manager at Diagrid. Kendall discusses career trajectory from Microsoft to becoming a key player in product management working on Dapr at Diagrid, where she works on simplifying the creation of resilient, microservice-oriented applications. We discuss her involvement with Kubernetes, her role in promoting Dapr, and insights into the challenges and triumphs of product leadership in tech. Perfect for developers, tech enthusiasts, or anyone interested in the behind-the-scenes of technology innovation.
Links
You can support this podcast on the anchor page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
Join us on this episode as we delve into the sustainable tech landscape with Nicole Granath, co-founder and COO of Tangible. Nicole shares her unique journey from finance, working in a hedge fund and in Shanghai, to founding a startup focused on reducing the construction industry's carbon footprint. Dive into our conversation about her transition into tech, the challenges of embodied carbon in building materials, and her insights as an entrepreneur in sustainability technology. Whether you're a developer, a sustainability advocate, or simply curious about innovative solutions in tech, this episode offers a insight into Nicole and Tangible's innovations shaping our eco-conscious future.
Links
2. Nicoles' LinkedIn profile
You can support this podcast on the anchor page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
Join us on this episode as we explore the forefront of technology with Thomas Vitale, software architect at Systematic, CNCF ambassador, author of 'Cloud Native Spring in Action', and blogger. Thomas shares his journey from a computer engineering student in Turin to a leading figure in the tech community. Dive into our discussion on the evolution of cloud-native applications, the impact of generative AI, and the importance of community in open-source projects. Whether you're a developer, a tech enthusiast, or simply curious about the future of technology, this episode offers invaluable insights into cutting-edge developments that are shaping our digital world.
Links
4. Cloud Native Spring in Action - Book: Available on major book platforms like Amazon
5. CNCF - Cloud Native Computing Foundation
You can support this podcast on the anchor page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
This episode is joined by Max Bennett, entrepreneur and author at the intersection of AI and neuroscience, to unravel the complexities behind artificial intelligence and human cognition. Max recounts his evolution from a career in finance to innovations in AI, and his path from conceptual frameworks to the creation of Alby, the AI shopping assistant that's redefining consumer experiences. He delves into his critically acclaimed book, 'A Brief History of Intelligence,' drawing parallels between evolutionary biology and the development of AI. Listen in as we discuss AI possibilities, ethical dilemmas, and the future of personalized learning and healthcare. This episode is a good listen for those interested in the merging lanes of technology, science, and the fabric of human intelligence.
Links:
website: https://www.abriefhistoryofintelligence.com/book
X: https://twitter.com/maxsbennett?lang=en
LinkedIn: https://www.linkedin.com/in/bennettmax/
Medium: https://medium.com/@max.bennett
You can support this podcast on the anchor page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
In this episode, we welcome Mike Hamrah, CTO of Flowcode, to discuss the transformative role of QR technology in connecting fans and brands. Mike shares his journey from the dot-com bubble's challenges to leading innovation at Flowcode. He offers insights into the rise of QR codes, the nuances of building a strong engineering culture, and the importance of company values in team dynamics. Join us as we explore the intersection of technology and leadership with a key figure in the tech industry. This conversation is a valuable listen for anyone interested in tech trends and effective team management.
find out more about mike hamrah -
linkedin: https://www.linkedin.com/in/hamrah/
X: https://twitter.com/mhamrah
You can support this podcast on the anchor page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
In this insightful podcast episode, join prominent tech education figure and software engineer/site reliability engineer Ivan Velichko as he delves into the creation of his innovative learning platform, iximiuz labs. We discuss the platform's structured learning path, emphasizing the importance of fundamentals and practical applications, the significance of hands-on experience and the limitations of random blog posts in skill mastery. Discover Ivan's unique approach to learning and the challenges he faced in developing this platform. Ivan Velichko's story to becoming a tech education content creator comes to life as he shares his wisdom and expertise. Don't miss this episode as we navigate the world of Kubernetes and cloud-native technologies learning with a dedicated tech educator and industry influencer!
find out more about Ivan - https://iximiuz.com/en/about/
X: https://twitter.com/iximiuz
Linkedin: https://www.linkedin.com/in/iximiuz/
You can support this podcast on the anchor page. Make sure to subscribe and follow Alexa's Input Twitter account to get notified when a new podcast episode comes out.
About the guest Ivan Velichko:
(04:03) - Ivan’s self introduction.
(04:41) - How Ivan got into the tech world.
(05:56) - Ivan is a workaholic, when he is doing the programming job.
(06:29) - Ivan’s first job after college, outsourcing work for major companies like Coca cola, Philips, etc.
Ivan’s educational journey as the content and the platform creator:
(07:30) - Thoughts on the appropriate approach for learning, making it a project!
(09:00) - Ivan’s journey with Kubernetes.
(10:20) - Ivan’s experience with solving five hundreds of Leetcode problems. How does it sound to you, if you’re actively on the tech market?
(12:43) - Ivan’s thoughts on knowing about underlying Kubernetes layers. What has changed? What has not compared to the past? Fundamental is a key focus.
(15:25) - How Ivan made the decision on how to pick up something to investigate and how.
(17:42) - How to turn the learning into the content: blog posts.
(19:20) - The quote “You don’t know how much you don’t know the topic until you write about it“. Fill in the gaps during the writing.
(20:09) - How Ivan launched the idea of creating courses.
(23:14) - How much effort it took and what technology was used to create the learning platform: both back-end and front-end experiences.
(25:12) - The most rewarding way for Ivan to deliver the content: building playgrounds & connecting them into a course, differentiating/producing the challenges, keeping the content structured, internalizing the skills, not just understanding them. Must-listen part!
(31:05) - Users’ feedback on what approaches/courses they love to take. Wow, 1500 challenges! Memory and practice. Must-listen part!
(35:34) - Ivan’s thoughts on the improvement in terms of the content collection and delivery.
(38:27) - Ivan’s thoughts on his Twitter/X following.
(39:57) - Ivan’s plan about the next step: create more content, open his learning platform to other content creators targeting H2 of this year. Stay tuned!
(41:23) - Ivan’s curtain call for the audience.
