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Marc Campora breaks down the core differences between AWS Lambda and Kubernetes container deployments.
He explains how Lambda abstracts away infrastructure management - developers simply write, package, and deploy code while AWS handles provisioning, scaling, and availability zone distribution automatically. This contrasts sharply with Kubernetes, where teams must make numerous complex decisions about clusters, instance types, and deployment strategies.
Watch the full episode: https://ku.bz/5gMTkzLhV
He explains how Lambda abstracts away infrastructure management - developers simply write, package, and deploy code while AWS handles provisioning, scaling, and availability zone distribution automatically. This contrasts sharply with Kubernetes, where teams must make numerous complex decisions about clusters, instance types, and deployment strategies.
Watch the full episode: https://ku.bz/5gMTkzLhV
This case study shows how Portworx built AetΓ²s, an Internal Developer Platform processing 50M daily API calls, managing 14,000 VMs, achieving 70% cloud cost reduction, and saving 10,000 engineering hours quarterly.
More: https://ku.bz/PDsYhsYZ2
More: https://ku.bz/PDsYhsYZ2
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Yasmin Rajabi from CloudBolt Software walks through what's new:
- Kubernetes cost allocation GA with container-level visibility
- MCP support for AI-assisted operations
- HPA algorithm patent
- In-place pod resizing as the default resize behavior
The shift to in-place resizing means pods no longer need to restart for resource changes β reducing one of the biggest adoption barriers to automated right-sizing.
Watch the announcement: https://ku.bz/BLhCGcbB9
Read the announcement: https://ku.bz/JrbVrpS_t
- Kubernetes cost allocation GA with container-level visibility
- MCP support for AI-assisted operations
- HPA algorithm patent
- In-place pod resizing as the default resize behavior
The shift to in-place resizing means pods no longer need to restart for resource changes β reducing one of the biggest adoption barriers to automated right-sizing.
Watch the announcement: https://ku.bz/BLhCGcbB9
Read the announcement: https://ku.bz/JrbVrpS_t
Sveltos is a Kubernetes add-on controller that simplifies the deployment and management of Kubernetes add-ons and applications across multiple clusters, whether on-prem, in the cloud or a multitenant environment.
More: https://ku.bz/y4Q4HSXF8
More: https://ku.bz/y4Q4HSXF8
This tutorial shows how to build integration tests for Kubernetes using Rust, kind clusters, and Terraform with automatic cleanup via Kyverno TTL policies and namespace isolation for concurrent test execution.
More: https://ku.bz/cbWvYlylR
More: https://ku.bz/cbWvYlylR
π±1
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This week's 6 best Kubernetes leadership jobs are:
Engineering Manager with Justworks
π° $83.98K to $104.98K a year
Remote from Mexico
β https://ku.bz/k3strqrPN
Engineering Manager with Grafana Labs
π° US$100.58K to US$132.06K a year
Remote from Germany, Sweden, Spain (+2 more)
β https://ku.bz/FhHwQMYTl
DevSecOps Engineer with OpenAI
π° $364.5K to $490K a year
Remote from the United States of America
β https://ku.bz/NXd17JHfV
Engineering Manager with Graphcore
π° US$94.56K to US$127.92K a year
Remote from the United Kingdom
β https://ku.bz/kPCTlvM4H
Software Engineer with Exadel
π° PLN 5,7K to PLN 792K a year
Remote from Poland, Armenia, Bulgaria (+3 more)
β https://ku.bz/bhNHlJvq6
π Browse 5166 jobs on Kube Careers https://kube.careers
Engineering Manager with Justworks
π° $83.98K to $104.98K a year
Remote from Mexico
β https://ku.bz/k3strqrPN
Engineering Manager with Grafana Labs
π° US$100.58K to US$132.06K a year
Remote from Germany, Sweden, Spain (+2 more)
β https://ku.bz/FhHwQMYTl
DevSecOps Engineer with OpenAI
π° $364.5K to $490K a year
Remote from the United States of America
β https://ku.bz/NXd17JHfV
Engineering Manager with Graphcore
π° US$94.56K to US$127.92K a year
Remote from the United Kingdom
β https://ku.bz/kPCTlvM4H
Software Engineer with Exadel
π° PLN 5,7K to PLN 792K a year
Remote from Poland, Armenia, Bulgaria (+3 more)
β https://ku.bz/bhNHlJvq6
π Browse 5166 jobs on Kube Careers https://kube.careers
This tool extends Argo CD with a hub-and-spoke agent architecture in which lightweight agents in remote clusters connect back to a central control plane.
More: https://ku.bz/69d9-tLTX
More: https://ku.bz/69d9-tLTX
This case study shows how to run SQL Server on Azure Kubernetes Service using StatefulSets, persistent volumes, and GitOps for multi-tenant database deployments.
More: https://ku.bz/YZF0RX5vR
More: https://ku.bz/YZF0RX5vR
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Rohit Agrawal from Databricks on replacing Kubernetes networking with a proxy-less, client-side load balancing system and eliminating 20-30% over-provisioning across hundreds of services.
You will learn:
- Why KubeProxy's L4 routing breaks down for gRPC: it picks a backend once per connection, not per request
- How Databricks built an Endpoint Discovery Service that streams real-time pod metadata to every client
- How zone-aware spillover cuts cross-AZ costs without sacrificing availability
- Why CPU-based routing failed and what signals to use instead
Watch (or listen to) it here: https://ku.bz/y803JMhBk
π Sponsored by LearnKube β Kubernetes training, online or in-person. https://learnkube.com/training
With @Birthmarkb
You will learn:
- Why KubeProxy's L4 routing breaks down for gRPC: it picks a backend once per connection, not per request
- How Databricks built an Endpoint Discovery Service that streams real-time pod metadata to every client
- How zone-aware spillover cuts cross-AZ costs without sacrificing availability
- Why CPU-based routing failed and what signals to use instead
Watch (or listen to) it here: https://ku.bz/y803JMhBk
π Sponsored by LearnKube β Kubernetes training, online or in-person. https://learnkube.com/training
With @Birthmarkb
The MariaDB operator lets you declaratively manage your MariaDB using Kubernetes CRDs rather than imperative commands.
More: https://ku.bz/2zD_QsmDK
More: https://ku.bz/2zD_QsmDK
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Michael Levan redefines platform engineering as combining customer service and product development.
He argues that the primary goal isn't technical excellence but making other teams' lives easier. Platform engineers should focus on building internal tools and abstracting complexity β for example, providing GitOps capabilities without requiring teams to understand if they're using Flux, Argo, or other tools.
The key measure of success is how well platform teams serve their internal customers rather than the sophistication of their technical solutions.
Watch the full episode: https://ku.bz/qlZPfM-zr
He argues that the primary goal isn't technical excellence but making other teams' lives easier. Platform engineers should focus on building internal tools and abstracting complexity β for example, providing GitOps capabilities without requiring teams to understand if they're using Flux, Argo, or other tools.
The key measure of success is how well platform teams serve their internal customers rather than the sophistication of their technical solutions.
Watch the full episode: https://ku.bz/qlZPfM-zr
β€1
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Stakpak is an open source terminal AI agent for DevOps that generates infrastructure code, debugs Kubernetes, and automates deployments β with secret substitution so the LLM never sees your actual credentials.
More: https://ku.bz/xXr0Rbc2c
More: https://ku.bz/xXr0Rbc2c
π1π₯1
Seabird is a native cross-platform Kubernetes desktop client that makes exploring your cluster's resources easy.
It aims to visualize all common resource types in a simple, bloat-free user interface.
More: https://ku.bz/M6l-3Zz0t
It aims to visualize all common resource types in a simple, bloat-free user interface.
More: https://ku.bz/M6l-3Zz0t
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At KubeCon Europe Amsterdam 2026, Google Cloud announced a wave of Kubernetes updates.
Abdel Sghiouar from Google Cloud covers all of them: GKE Autopilot now available in Standard mode, TPU and GPU drivers for the DRA API donated to CNCF, llm-d (LLM inference patterns for Kubernetes) becoming a CNCF project, an open source MCP server for GKE, Agent Sandbox for safe AI code execution, Ray on TPUs, and GKE certified for the CNCF AI conformance program.
Watch the announcement: https://ku.bz/4j667SVsN
Read the announcement: https://ku.bz/h5TV1mBsP
Abdel Sghiouar from Google Cloud covers all of them: GKE Autopilot now available in Standard mode, TPU and GPU drivers for the DRA API donated to CNCF, llm-d (LLM inference patterns for Kubernetes) becoming a CNCF project, an open source MCP server for GKE, Agent Sandbox for safe AI code execution, Ray on TPUs, and GKE certified for the CNCF AI conformance program.
Watch the announcement: https://ku.bz/4j667SVsN
Read the announcement: https://ku.bz/h5TV1mBsP
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This week's 6 best Kubernetes architect vacancies are:
Solution Architect with NVIDIA
π° $308K to $471.5K a year
On-site in Santa Clara, CA / Champaign, IL, USA
β https://ku.bz/VJNQljZmd
Software Architect with Okta
π° $263K to $353K a year
Remote from the United States of America
β https://ku.bz/4ymF6_89d
Infrastructure Architect with Legion
π° $250K to $350K a year
Remote from the United States of America
β https://ku.bz/4_kmCMSk1
Solution Architect with TENEX.AI
π° $250K to $350K a year
Hybrid in San Jose, CA, USA, Kansas City, MO, USA, Sarasota, FL, USA
β https://ku.bz/Hl5l8xkds
Software Architect with Scale AI
π° $257K to $321K a year
On-site in Washington, DC, USA
β https://ku.bz/_R8c4M9WF
π Browse 5925 jobs on Kube Careers https://kube.careers
Solution Architect with NVIDIA
π° $308K to $471.5K a year
On-site in Santa Clara, CA / Champaign, IL, USA
β https://ku.bz/VJNQljZmd
Software Architect with Okta
π° $263K to $353K a year
Remote from the United States of America
β https://ku.bz/4ymF6_89d
Infrastructure Architect with Legion
π° $250K to $350K a year
Remote from the United States of America
β https://ku.bz/4_kmCMSk1
Solution Architect with TENEX.AI
π° $250K to $350K a year
Hybrid in San Jose, CA, USA, Kansas City, MO, USA, Sarasota, FL, USA
β https://ku.bz/Hl5l8xkds
Software Architect with Scale AI
π° $257K to $321K a year
On-site in Washington, DC, USA
β https://ku.bz/_R8c4M9WF
π Browse 5925 jobs on Kube Careers https://kube.careers
Forwarded from LearnKube news
This week on Learn Kubernetes Weekly 178:
π₯ Kubernetes Remote Code Execution via nodes/proxy Get Permission
π¦ AetΓ²s: From Chaos to Engineering Excellence β A 3-Year Transformation
βΈοΈ Kubernetes v1.35: Extended Toleration Operators to Support Numeric Comparisons
π Reducing Complexity By Migrating from K8S to ECS Fargate for NetworkLessons
ποΈ Database State Management in Kubernetes: Running SQL Server on AKS with GitOps
Read it now: https://kube.today/issues/178
βοΈ This newsletter is brought to you by StormForge by CloudBolt. Stop setting Kubernetes requests. Let ML handle rightsizing https://ku.bz/2wYKp0Q2Y
π₯ Kubernetes Remote Code Execution via nodes/proxy Get Permission
π¦ AetΓ²s: From Chaos to Engineering Excellence β A 3-Year Transformation
βΈοΈ Kubernetes v1.35: Extended Toleration Operators to Support Numeric Comparisons
π Reducing Complexity By Migrating from K8S to ECS Fargate for NetworkLessons
ποΈ Database State Management in Kubernetes: Running SQL Server on AKS with GitOps
Read it now: https://kube.today/issues/178
βοΈ This newsletter is brought to you by StormForge by CloudBolt. Stop setting Kubernetes requests. Let ML handle rightsizing https://ku.bz/2wYKp0Q2Y
β€1
Kusion is a modern application delivery and management toolchain that enables developers to specify desired intent in a declarative way and then use consistent workflow to drive continuous deployment through the application lifecycle.
More: https://ku.bz/BDJ_gb5fd
More: https://ku.bz/BDJ_gb5fd
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Apache Flink. Spark Streaming. Kafka Streams. All greatβbut none are Kubernetes-native.
Sriharsha Yayi positions NumaFlow in the stream processing landscape: it competes with the big names, but it's built from the ground up to run on Kubernetes. No adapters, no workarounds.
If your platform is Kubernetes, your stream processor should be too.
Watch the announcement: https://ku.bz/dbFK-9Yxw
Explore the project: https://ku.bz/PQ-hn3ZCm
Sriharsha Yayi positions NumaFlow in the stream processing landscape: it competes with the big names, but it's built from the ground up to run on Kubernetes. No adapters, no workarounds.
If your platform is Kubernetes, your stream processor should be too.
Watch the announcement: https://ku.bz/dbFK-9Yxw
Explore the project: https://ku.bz/PQ-hn3ZCm
Karpor is a tool that brings advanced Search, Insight, and AI capabilities to Kubernetes, providing crucial visibility into Kubernetes clusters across any cloud.
More: https://ku.bz/FXbyWVldS
More: https://ku.bz/FXbyWVldS
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Ingress has two core problems: annotation sprawl (every load-balancer tweak ends up in an annotation) and role mixing (the same resource handles both what gets exposed and how).
Sai Vennam explains why those two problems pushed the Kubernetes community toward the Gateway API.
Watch the full interview: https://ku.bz/VVfQ4G891
Sai Vennam explains why those two problems pushed the Kubernetes community toward the Gateway API.
Watch the full interview: https://ku.bz/VVfQ4G891