LearnKube news

Modern cloud-native architecture is distributed by design — code repos, CI/CD pipelines, metrics, logs, traces, all spread across different tools and layers. Greg Eppel explains how AWS DevOps Agent fits into this: it connects across the whole toolchain, stitches all those signals together, and simplifies what is typically an overwhelming amount of context into something an agent can reason about. Watch the full interview: https://ku.bz/KZRgrbmwt

This article explains why Kubernetes observability falls apart when metrics, logs and traces don't share context, and how consistent service identity, bounded label cardinality and OpenTelemetry pull them back together. More: https://ku.bz/36ZySjmLB

Kubernetes at the edge, AI inference, and better UX — that's the next decade. Peter Kelly sees three big shifts ahead: Kubernetes expanding to edge deployments, supporting AI model inference through projects like llm-d, and UX improvements with tools like Headlamp. The platform is maturing. What comes next is about reach and usability. Full interview: https://ku.bz/xgqZJhdyn Watch the full interview: https://ku.bz/xgqZJhdyn

This article explains Kubernetes operators as feedback controllers, connecting reconciliation, informers, queues, spec/status, and self-healing behavior to database operations. More: https://ku.bz/93cbkRmhc

Owumi Festus explains his philosophy of building complex systems from scratch to understand their core mechanisms. He describes how constructing a simplified version of Kubernetes in Go revealed that the orchestration platform is much simpler than commonly perceived when broken down to its fundamental components. Watch the full episode: https://ku.bz/pf5kK9lQF

This tool gives you a find-like experience for Kubernetes resources, letting you search by name regex, age, labels, status, image name or node, then patch, exec or delete the matching items. More: https://ku.bz/S9g9fRBmJ

Molly Sheets, Director of Engineering, Kubernetes at Zynga, challenges conventional approaches to measuring Kubernetes reliability in multi-tenant environments. She explains why traditional metrics like control plane uptime and node availability aren't useful when running managed Kubernetes services like Amazon EKS, where the cloud provider handles much of the infrastructure layer. Instead, Molly advocates for focusing on SLOs for individual applications and add-ons. She provides specific examples from Zynga's infrastructure, emphasizing the importance of monitoring critical networking components like Cilium agents and external DNS, since failures in these areas cascade to affect all workloads in the cluster. Watch the full episode: https://ku.bz/Rmpl8948_

This article reads the HPA as a proportional controller from control theory, showing why the deadband, high gain and slow response trade-offs are unavoidable, and what dead time and pod quantization do to a PID version of it. More: https://ku.bz/FdGgBK2q8

This week on Learn Kubernetes Weekly 196: 🛠️ How I Rebuilt YouTube’s Load Balancing Algorithm in Go 💾 When ETCD Crashes, Check Your Disks First: A Pod CrashLoopBack Debugging Story 🧩 We Blamed CoreDNS for Weeks. The Real Culprit Was a Default We Never Questioned 🚚 Zero-Downtime EKS Migration: Production-Grade Kubernetes at Scale ⚡ Deterministic Routing: The Hidden Key to Low Latency Read it now: https://kube.today/issues/196 ⭐️ This newsletter is brought to you by LearnKube — master Kubernetes with hands-on training designed for engineers who want to learn the smart way https://ku.bz/hypSbyc-V

This code tool allows you to start containers only when needed and automatically stop them after a period of inactivity. More: https://ku.bz/8KYgckdWf

New from LearnKube: Setting the right requests and limits in Kubernetes. CPU and memory requests and limits appear together in a Pod manifest, but Kubernetes and Linux use them at different stages. You will learn: • How the scheduler compares requests with node allocatable capacity • Why actual usage can exceed a request • How CPU quotas cause throttling even when average CPU looks low • Why an OOM kill is different from a node-pressure eviction • How requests and limits determine Kubernetes QoS classes The article is the first chapter of The Technical Guide to Kubernetes Rightsizing, co-authored by Gulcan and Daniele Polencic. Read the chapter: https://learnkube.com/setting-cpu-memory-limits-requests Download the free technical guide: https://learnkube.com/kubernetes-rightsizing This book was made possible by CloudBolt Software.

Kubernetes turned 10 last year. Where does it go from here? Zach Aller wants the declarative API to keep growing. Specifically, he's watching aggregated API services — CRDs that aren't stored in etcd — as a way to power entirely new types of APIs within the Kubernetes ecosystem. His vision: Kubernetes evolves from "just an autoscaler" into a full API platform where the declarative model extends far beyond container orchestration. If you think Kubernetes is just for running pods, this might change your mind. Watch the full interview: https://ku.bz/7Bf_w3bN_

This case study shows how etcd CrashLoopBack pods on a Karmada/k3s demo cluster turned out to be a ZFS I/O latency problem, and how four ZFS tuning settings fixed it — including the exact etcd Prometheus metrics to watch. More: https://ku.bz/p1hBF3Jdq

Brian Donelan, VP Cloud Platform Engineering @ JPMorganChase, explains the technical architecture behind his screen lock-based autoscaling solution. He walks through how a macOS daemon continuously monitors screen lock events and sends boolean metrics to CloudWatch, creating a time series that tracks whether his laptop is locked or unlocked. Brian details how KEDA (Kubernetes Event-Driven Autoscaler) polls these CloudWatch metrics every 60 seconds and scales pods based on the boolean values - scaling up when unlocked (1) and down to zero when locked (0) or offline. He explains the KEDA scaled object manifest configuration, including minReplicaCount: 0 and maxReplicaCount: 1 settings that enable scale-to-zero capabilities. Watch the full episode: https://ku.bz/sFd8TL1cS

Karpenter can consolidate nodes and reduce cloud costs. But without Pod Disruption Budgets, those savings can expose workloads to avoidable downtime. Ahmad Asmar from Zencity explains how they use Kyverno to generate PDBs automatically instead of relying on every developer to remember the required configuration. You will learn: - Why Karpenter consolidation and Spot instances make PDB coverage critical - How Kyverno detects existing PDBs through workload labels - Why percentage-based budgets work better for scaling workloads - How ClusterRole aggregation extends Kyverno without modifying its Helm chart Watch: https://ku.bz/xrlPJg54D 🌟 This episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits. https://learnkube.com/kubernetes-rightsizing With @Birthmarkb

This code tool converts JSON files into Kubernetes resource manifests, allowing you to use JSON/jsonnet workflows while still generating valid YAML for Kubernetes. More: https://ku.bz/Vbm_rFw4y

Oleksii Kolodiazhnyi, Senior Architect @ Mirantis, explains the motivation behind his structured approach to Kubernetes workload assessment and his article "Graphs in Your Head." Oleksii shares how he transformed his real-world assessment work on Mirantis Source Registry 4 (MSR4) into actionable guidance, bridging the gap between academic theory and practical application for architects and engineers who need to assess existing systems or build new ones. Watch the full episode: https://ku.bz/zDThxGQsP

This tutorial shows how to deploy an ML inference app on GKE using FastAPI, Streamlit, GCS FUSE, Workload Identity, Jenkins CI/CD, and HPA. More: https://ku.bz/bBh4WJpM7

This article explains how Kubernetes pod DNS failures can come from the default ndots:5 setting and a Linux conntrack issue, and shows how ndots:2 plus single-request-reopen can reduce DNS noise and fix intermittent resolution errors. More: https://ku.bz/pZG7kVlFk

Kubeswitch is a command-line tool designed to ease switching between different kubectl contexts. More: https://ku.bz/SxF0tXYRf