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Kube FM Podcasts, fireside chats, roundtables and educational programs about Kubernetes.

09/07/2025

This week on Learn Kubernetes Weekly 139:

🍯 Securing Kubernetes using honeypots to detect and prevent lateral movement attacks
💻 Goodbye Wasted Compute: How I Taught Kubernetes to Autoscale with My MacBook Screen Lock
💣 Our last Kubernetes ingress production incident — explained in 5 minutes
🙈 Stop Treating YAML Like a String
✅ Mastering complex workloads with Kubernetes JobSet and GKE metrics

Read it now: https://learnkube.com/issues/139

⭐️ This issue is brought to you by Densify — Slash costs, improve reliability and spend less time managing Kubernetes https://ku.bz/-Ml6l6kDy

08/07/2025

Bhavani Indukuri, Staff Platform Engineer at Zscaler, discusses how Kubernetes has evolved beyond its original purpose as a container orchestration tool.

She explains that companies now adopt Kubernetes as a comprehensive platform with an ecosystem of solutions built on top of it. Bhavani highlights specific examples from the CNCF landscape that enable this platform approach, including Dapr for application development and Argo.

Watch the full interview: https://ku.bz/Znfx9Z0-x

This interview is a reaction to Calin Florescu's episode https://ku.bz/mcPtH5395

08/07/2025

John Platt, CTO at StormForge, explains how Kraken's peer-to-peer image registry technology addresses critical challenges in AI/ML deployments on Kubernetes.

He highlights that ML models can reach tens of gigabytes—often larger than the code itself—creating significant bottlenecks when embedded in container images. This makes scaling during traffic spikes particularly difficult. Platt describes how Kraken's ability to pull images and ship data much faster represents a game changer for organizations deploying machine learning workloads at scale.

Watch the full interview: https://ku.bz/mt_lTMFwF

This interview is a reaction to John McBride's episode https://ku.bz/wP6bTlrFs

04/07/2025

Guy Baron, Co-Founder & CTO at ScaleOps, discusses how Kubernetes scaling and resource optimization will evolve in the coming years.

He highlights the long-awaited in-place pod resizing feature and Karpenter reaching 1.0 as significant milestones. Guy predicts that AI-driven software development will create an exponential increase in complex applications, necessitating multi-dimensional auto-scaling across resources, replicas, pods, workloads, nodes, and even multi-cluster environments. To manage this new landscape, he emphasises that organisations must significantly enhance their auto-scaling capabilities.

Watch the full interview: https://ku.bz/5lHPB5p3w

This interview is a reaction to Kensei Nakada's episode https://ku.bz/bRd0243xQ

04/07/2025

Shahar Azulay, Co-Founder and CEO at groundcover, explains how observability tools can deliver real business value beyond just successful implementation.

He highlights groundcover's approach of not pricing based on data volume, which breaks from traditional models where customers pay for unused logs and metrics.

Instead, groundcover:

- Prices according to infrastructure size rather than data volume
- Integrates with existing platforms (Prometheus, OpenTelemetry, Cloud Metrics)
- Consolidates all observability data in a single pane of glass
- Enables storing 10x more data without cost concerns

This model ensures customers can access comprehensive data during critical incidents without worrying about the financial impact of storing "noisy" data that might rarely be used.

Watch the full interview: https://ku.bz/qt-j8gMlS

This interview is a reaction to Artem Lajko's episode https://ku.bz/9sGxhmm8s

04/07/2025

Gordon Myers explains how webhooks work as listener functions in Kubernetes.

The explanation covers two types: validating webhooks that approve or reject `pod` launches based on custom logic and mutating webhooks that can modify pod configurations before deployment.

Watch the full episode: https://ku.bz/Dmn93dd7M

03/07/2025

Andrew Hillier, Co-Founder & CTO at Densify, discusses three key Kubernetes technologies he's monitoring closely.

He highlights vertical scaling and in-place resizing as important features. Andrew also mentions the multi-dimensional pod autoscaler as significant for Densify's resource optimisation work and integration improvements with Prometheus and OpenTelemetry that enhance their data analysis capabilities.

Watch the full interview: https://ku.bz/V2YJFXVG3

03/07/2025

Hillai Ben-Sasson and Ronen Shustin, Security Researchers at Wiz, highlight that gaining access to the Docker API socket or an HTTP request can allow an attacker to spawn a privileged container.

This container can share namespaces and volumes with the host Kubernetes node, effectively granting the attacker full node access.

Watch the full episode: https://ku.bz/yr16qNTFx

03/07/2025

Itiel Shwartz, Co-Founder & CTO at Komodor, discusses the future of Kubernetes as a platform for AI and ML workloads.

He agrees with the industry trend of running AI training and inference on Kubernetes but highlights significant challenges in troubleshooting and optimization. Itiel explains how organizations invest in expensive GPU resources—often costing hundreds of thousands of dollars—yet frequently fail to utilize them effectively due to various technical issues.

Watch the full interview: https://ku.bz/-DHYgGcr7

This interview is a reaction to John McBride's episode https://ku.bz/wP6bTlrFs

02/07/2025

Alex Chircop, Chief Architect at Akamai Technologies, explains how service meshes implement mTLS in Kubernetes environments.

He describes mTLS as "almost a standard needed for just about every application" that enables service-to-service authorization. Alex highlights how service mesh control planes like Istio and Cilium act as authorization layers to enforce security policies.

He points out a significant challenge with traditional sidecar implementations: they can consume up to 50% of cluster CPU resources. Alex then contrasts this with newer approaches like Istio's ambient mode and Cilium's transparent mesh, which provide more efficient ways to maintain security without the substantial overhead.

Watch the full interview: https://ku.bz/4ldT_whNy

This interview is a reaction to John Howard's episode https://ku.bz/sk-ZF1PG9

02/07/2025

Alexander Lawrence, Director of Cloud Security Strategy at Sysdig, argues that Kubernetes is powering AI platforms due to its speed, scalability, and flexibility.

He explains that Kubernetes has become the infrastructure platform of choice for AI workloads but notes these systems face the same challenges as other Kubernetes deployments. Alexander highlights specific concerns, including the ephemeral nature of containers, the rapid pace of change, and the importance of understanding exposure points and data flows when running AI workloads in Kubernetes environments.

Watch the full interview: https://ku.bz/-MqhJchmb

This interview is a reaction to John McBride's episode https://ku.bz/wP6bTlrFs

27/06/2025

Jason (Jay) Smith, Senior Cloud Customer Engineer at Google, explains why understanding team culture should precede tool selection when building platforms.

He cautions against the common pattern of chasing tools after conference talks without considering if they align with existing workflows. "Figure out the culture and then find the right tool for that culture," he advises, noting that platforms built without considering team dynamics often face slow adoption. Jay emphasizes that effective platform engineering requires recognizing that change management is hard, and success comes from meeting teams where they are rather than forcing unfamiliar processes upon them.

Watch the full interview: https://ku.bz/B1D6ZWFw1

This interview is a reaction to Ángel Barrera Sánchez's episode https://ku.bz/-5QbzQXJg

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