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This newsletter is brought to you by LearnKube — master Kubernetes with hands-on training designed for engineers who want to learn the smart way.
“What Kubernetes-specific behavior will affect my app when I deploy, update, scale, restart, route, evict, or secure it?”
Gulcan and I prepared a Kubernetes production-readiness checklist to help teams answer that question before going live.
It includes:
Check out the Kubernetes production readiness checklist!
— Dan
Mount mayhem at netflix: scaling containers on modern cpus
netflixtechblog.com
This article explains how Netflix traced severe container launch slowdowns to Linux mount lock contention, image layer mount storms, and CPU architecture differences while scaling containers on modern Kubernetes infrastructure.
We brought Skew Protection to your Kubernetes
blog.platformatic.dev
This article explains how Kubernetes skew protection routes traffic based on app version to prevent frontend and backend mismatches during deployments, and version-aware routing using the Gateway API.
CloudnativePG: postgres database the modern way
medium.com
This tutorial shows how to run highly available PostgreSQL on Kubernetes with CloudNativePG and Terraform by replacing the traditional Patroni, etcd, and HAProxy stack with a simpler operator-driven setup.
Most teams scale Kubernetes by thinking about pods and nodes. At Render, Brian Stack ran into a different dimension: hundreds of thousands of namespaces per cluster, multiplied across DaemonSets that list-watch every namespace.
Brian explains how Render traced the issue through Calico and Vector, worked with upstream maintainers, and turned memory profiling into operational wins: lower node costs, lighter API-server load, and faster rollouts.
In this interview:
Software Architect with IntelliDyne Jobs for Veterans
Salary: $150K to $180K a year
Location: based in the office in Washington, DC, USA
Tech stack: Kubernetes, On-Prem, Kubernetes, Azure Government, AWS GovCloud, AWS, Azure, Docker, OpenShift, Audit Logging
System Administrator with Mattel Inc
Salary: $58.5K to $4.4L a year
Location: based in the office in Hyderabad, IN
Tech stack: Kubernetes, Kubernetes, AWS, Azure, OpenShift, alerting, monitoring, logging, Red Hat Insights, BigFix
Support Engineer with Mirantis
Salary: $45K to $176K a year
Location: remote from
Tech stack: Kubernetes, Kubernetes, Docker, Openstack, On-premise, Kibana, alert management, Grafana, Nagios, Prometheus
Support Engineer with Mirantis
Salary: $45K to $176K a year
Location: remote from
Tech stack: Kubernetes, Kubernetes, K0s, Mirantis Kubernetes Engine, Docker, Openstack, On-premise, Mirantis Opensack/k0s, MOSK, alert management
Platform Engineer with Mattel Inc
Salary: $1.25L to $3.74L a year
Location: based in the office in Hyderabad, IN
Tech stack: Kubernetes, Kubernetes, Google Cloud, AWS, Azure, OpenShift, Dynatrace, alerting, monitoring, logging
Discover more Kubernetes jobs on Kube Careers →
github.com/DavidHavoc
ayaFlow is an eBPF-based Rust tool that runs as a sidecarless DaemonSet to capture node-wide network traffic, expose metrics, and provide lightweight kernel-level visibility for troubleshooting and observability.
github.com/teleskopio
Teleskopio is a small, open-source Kubernetes web client that provides a clean browser interface for viewing and managing cluster resources without the weight of a full platform dashboard.
github.com/valkey-io
Valkey Operator is a Kubernetes operator that automates deployment and lifecycle management of Valkey clusters and instances with features like automated installation and configuration management.
github.com/corpobit
Crossview is a React-based dashboard for managing and monitoring Crossplane resources in Kubernetes with features like:
github.com/lucky-sideburn
With k-inv, you can stress a Kubernetes cluster in a fun way and check its resilience by playing space invaders.
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Thanks for reading.
See you next week!
— Gulcan
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