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Kubernetes for Humans

Latest episodes

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Dec 20, 2023 • 35min

#013 - Kubernetes for Humans Podcast with Ian Nowland (Datadog)

Ian Nowland, a software development and management professional, discusses challenges in transitioning to Kubernetes in finance, legacy system migrations, and navigating complexity in Kubernetes and observability. He also shares insights on his career journey from mechanical engineering to platform engineering.
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Dec 13, 2023 • 34min

#012 - Kubernetes for Humans Podcast with Hans Kristian Flaatten (NAV)

Hans Kristian Flaatten from NAV discusses their cloud native journey, DSL for app deployment challenges, responsibilities in money processing organizations, and upcoming industry trends like platform editing, WebAssembly, and serverless functions in Kubernetes.
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Dec 5, 2023 • 21min

#011 - Kubernetes for Humans Podcast with Charity Majors (Honeycomb.io)

Ops engineer Charity Majors discusses the journey from Parse to co-founding Honeycomb for observability. Topics include distinguishing monitoring and observability, challenges in the tech industry with similar tools, benefits of new tools, reflections on building databases, and leveraging CHET GPT for code writing.
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Nov 29, 2023 • 42min

#010 - Kubernetes for Humans Podcast with Joshua Burgin (VMWare)

Guest Joshua Burgin, VP of Product & Strategy at VMWare, discusses his journey from Amazon to founding a startup, challenges in adopting common platform technology, evolution of cloud services at Amazon & VMware, Kubernetes future, and developer onboarding efficiency.
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Nov 7, 2023 • 29min

#009 - Kubernetes for Humans Podcast with Josh Rosso (Reddit)

Josh Rosso, Principal Engineer at Reddit, talks about Reddit's transition to Kubernetes, code deployment with specialized parameters, challenges in infrastructure development, performance optimization, and scaling Kubernetes operators and controllers. He shares insights on managing clusters, improving performance, and the future of infrastructure management using Kubernetes principles.
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Oct 18, 2023 • 35min

#008 - Kubernetes for Humans Podcast with Alexandru Dejanu (Systematic)

Senior Systems Engineer Alexandru Dejanu discusses transitioning to Kubernetes from Cloud Foundry, challenges of platform engineering, dynamic workloads, resource limits, SREs, and monitoring tools like Prometheus. The conversation also touches on managing Kubernetes clusters, evolving trends, expressing business logic through Custom Resource Definitions, and community-building initiatives.
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Oct 4, 2023 • 31min

#007 - Kubernetes for Humans Podcast with Todd Palino (Linkedin)

Senior Staff Engineer Todd Palino from LinkedIn discusses his career transition to SRE and capacity engineering. Topics include evolution of SRE at LinkedIn, capacity planning, tools for performance optimization, transitioning responsibilities, alerting in complex environments, and challenges in site reliability engineering.
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Sep 27, 2023 • 34min

#006 - Kubernetes for Humans Podcast with Nick Jones (EscherCloudAI)

Explore Nick Jones's journey from 3D graphics to cloud computing, the evolution of container orchestration technologies with a focus on Kubernetes pitfalls and organizational challenges, AI and Kubernetes trends including GPU utilization and job scheduling tools, and the community-driven evolution of the 'Sausage Cloud' project from a nuclear bunker to a public cloud deployment.
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Sep 20, 2023 • 32min

#005 - Kubernetes For Humans Podcast with Gwen Shapira (Nile)

Gwen Shapira discusses transitioning open-source projects to SaaS offerings with Kubernetes. She shares insights on managing databases for major organizations and the challenges of running stateful services on Kubernetes. The conversation covers her software journey, platform engineering expertise, early experiences with Kubernetes at Confluent, managing stateful workloads, and the future impact of Kubernetes in the tech industry.
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Sep 13, 2023 • 37min

#004 - Kubernetes For Humans Podcast with Andy McMahon (NatWest Group)

Andy McMahon, a data scientist and machine learning engineer, discusses his transition from data scientist to ML engineer, the challenges of implementing Kubernetes in a large organization, the future of MLOps and Kubernetes, and the enigmatic nature of Kubernetes. He also talks about successful book release and upcoming content on Kubeflow, RNNs, NLP, and generative AI.

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