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Olawale Olaleye explains why the jump from a proof of concept to production is where agentic AI gets hard.
He points to scaling, multi-agent systems, and cost optimization as the real barriers teams run into.
Watch the full interview: https://ku.bz/LKc3mB0lp
He points to scaling, multi-agent systems, and cost optimization as the real barriers teams run into.
Watch the full interview: https://ku.bz/LKc3mB0lp
Kor is a tool to discover unused Kubernetes resources.
Currently, Kor can identify and list unused:
- ConfigMaps
- Secrets
- Services
- ServiceAccounts
- Deployments
- Statefulsets
- Roles
More: https://ku.bz/J7zwN_LWt
Currently, Kor can identify and list unused:
- ConfigMaps
- Secrets
- Services
- ServiceAccounts
- Deployments
- Statefulsets
- Roles
More: https://ku.bz/J7zwN_LWt
β€1
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Mac Chaffee explores the psychological factors that drive developers to initially reject Kubernetes and other established complex tools.
He identifies overconfidence as the primary trap that stubborn tech workers fall into, explaining how people systematically underestimate the difficulty of running modern applications.
Mac emphasizes that it's not easy to recognize when something is actually difficult, creating a dangerous overconfidence cycle. He points out that Kubernetes designers didn't set out to build overcomplicated softwareβrather, it grew organically with hard-won knowledge baked into the codebase from solving real-world problems. He argues that this accumulated expertise would be unwise to reject without understanding the underlying complexities it addresses.
Watch the full episode: https://ku.bz/9nFPmG85f
He identifies overconfidence as the primary trap that stubborn tech workers fall into, explaining how people systematically underestimate the difficulty of running modern applications.
Mac emphasizes that it's not easy to recognize when something is actually difficult, creating a dangerous overconfidence cycle. He points out that Kubernetes designers didn't set out to build overcomplicated softwareβrather, it grew organically with hard-won knowledge baked into the codebase from solving real-world problems. He argues that this accumulated expertise would be unwise to reject without understanding the underlying complexities it addresses.
Watch the full episode: https://ku.bz/9nFPmG85f
ctx is a CLI tool that simplifies working across multiple cloud environments by switching between AWS profiles, Kubernetes clusters, VPN connections, and SSH tunnels with a single command.
More: https://ku.bz/9CdsYnDhD
More: https://ku.bz/9CdsYnDhD
β€1
Forwarded from Kube Careers
This week's 6 Kubernetes junior jobs are:
Software Engineer with Together AI
π° $165K to $200K a year
Remote from the United States of America
β https://ku.bz/77cYqG0Z2
Software Engineer with Galileo Financial Technologies
π° $105.6K to $198K a year
Remote from the United States of America, Canada, the United Kingdom (+7 more)
β https://ku.bz/ZrZddDMnS
Software Engineer with Palantir Technologies
π° $145K to $155K a year
Remote from the United States of America
β https://ku.bz/pS96chBGZ
Software Engineer with Fireworks AI
π° $140K to $150K a year
Fully remote
β https://ku.bz/LXRNq1yV6
Software Engineer with T-Rex Solutions
π° $130K to $160K a year
On-site in Ft. Meade, MD, USA
β https://ku.bz/C_r8Lfkk9
π Browse 5171 jobs on Kube Careers https://kube.careers
Software Engineer with Together AI
π° $165K to $200K a year
Remote from the United States of America
β https://ku.bz/77cYqG0Z2
Software Engineer with Galileo Financial Technologies
π° $105.6K to $198K a year
Remote from the United States of America, Canada, the United Kingdom (+7 more)
β https://ku.bz/ZrZddDMnS
Software Engineer with Palantir Technologies
π° $145K to $155K a year
Remote from the United States of America
β https://ku.bz/pS96chBGZ
Software Engineer with Fireworks AI
π° $140K to $150K a year
Fully remote
β https://ku.bz/LXRNq1yV6
Software Engineer with T-Rex Solutions
π° $130K to $160K a year
On-site in Ft. Meade, MD, USA
β https://ku.bz/C_r8Lfkk9
π Browse 5171 jobs on Kube Careers https://kube.careers
Forwarded from Kube Builders
This tutorial teaches how to set up a local DNS server specifically for demo environments using dnsmasq and Docker containers.
More: https://ku.bz/r6rbLZ-dH
More: https://ku.bz/r6rbLZ-dH
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This case study shows how NetworkLessons migrated from Kubernetes to ECS Fargate using AWS CDK, reducing operational complexity while implementing multi-account architecture, automated cost controls, and infrastructure as code.
More: https://ku.bz/T_hNMhdc4
More: https://ku.bz/T_hNMhdc4
Forwarded from Kube Careers
This week's 6 best Kubernetes Platform Engineer jobs are:
Platform Engineer with Pinterest
π° $242.63K to $499.54K a year
Remote from the United States of America
β https://ku.bz/1CDKh0GP2
Platform Engineer with NVIDIA
π° $224K to $431.25K a year
Remote from the United States of America
β https://ku.bz/NCCttvbkj
Platform Engineer with Perplexity
π° $250K to $405K a year
Fully remote
β https://ku.bz/GWdryCvpx
Platform Engineer with OKX
π° $268.33K to $375.67K a year
Fully remote
β https://ku.bz/7nDz6kmPm
Platform Engineer with Temporal Technologies
π° $300K to $340K a year
Remote from the United States of America, the United Kingdom, Germany (+5 more)
β https://ku.bz/Jjs0wRbbK
π Browse 5517 jobs on Kube Careers https://kube.careers
Platform Engineer with Pinterest
π° $242.63K to $499.54K a year
Remote from the United States of America
β https://ku.bz/1CDKh0GP2
Platform Engineer with NVIDIA
π° $224K to $431.25K a year
Remote from the United States of America
β https://ku.bz/NCCttvbkj
Platform Engineer with Perplexity
π° $250K to $405K a year
Fully remote
β https://ku.bz/GWdryCvpx
Platform Engineer with OKX
π° $268.33K to $375.67K a year
Fully remote
β https://ku.bz/7nDz6kmPm
Platform Engineer with Temporal Technologies
π° $300K to $340K a year
Remote from the United States of America, the United Kingdom, Germany (+5 more)
β https://ku.bz/Jjs0wRbbK
π Browse 5517 jobs on Kube Careers https://kube.careers
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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
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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
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
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Tanat Lokejaroenlarb, Staff Site Reliability Engineer at Adevinta, explains why EKS in-place upgrades are far more complex than the "one-click" perception many have.
He identifies two critical concerns: API deprecation/removal that can break workloads irreversibly, and the full node pool replacement required during upgrades, which often causes customer downtime or service degradation. Tanat shares why his team prioritized investigating node rebuild scenarios first, as this challenge affects not only version upgrades but any operation requiring complete node replacement, such as AMI version changes.
Watch the full episode: https://kube.fmhttps://ku.bz/VVHFfXGl_
He identifies two critical concerns: API deprecation/removal that can break workloads irreversibly, and the full node pool replacement required during upgrades, which often causes customer downtime or service degradation. Tanat shares why his team prioritized investigating node rebuild scenarios first, as this challenge affects not only version upgrades but any operation requiring complete node replacement, such as AMI version changes.
Watch the full episode: https://kube.fmhttps://ku.bz/VVHFfXGl_
This article introduces Gt and Lt operators for pod tolerations in Kubernetes 1.35, enabling threshold-based scheduling with numeric taint values, such as failure probability or cost metrics, rather than exact matching.
More: https://ku.bz/vW6JV-99T
More: https://ku.bz/vW6JV-99T
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How do you think about the AI inference stack? Tsahi Duek's colleague coined a framework: RECON β Routing, Engine, Caching, Orchestration, Nodes.
Each letter maps to a layer: LLM routers handle request routing, engines like vLLM and SGLang serve models, caching reduces redundant computation, Ray or NVIDIA Dynamo orchestrate across clusters, and Karpenter provisions the GPU nodes.
Watch the full interview: https://ku.bz/2r41YKBZb
Each letter maps to a layer: LLM routers handle request routing, engines like vLLM and SGLang serve models, caching reduces redundant computation, Ray or NVIDIA Dynamo orchestrate across clusters, and Karpenter provisions the GPU nodes.
Watch the full interview: https://ku.bz/2r41YKBZb
This tool exposes Kubernetes cluster operations through the Model Context Protocol, allowing AI agents and tools to safely read cluster state and execute controlled actions like kubectl commands.
More: https://ku.bz/cY99-lPN-
More: https://ku.bz/cY99-lPN-
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Before Hadron, immutable edge systems meant retrofitting general-purpose Linux distributions like Ubuntu, OpenSUSE, or Fedora.
Ettore Di Giacinto from Spectro Cloud explains the shift: instead of taking a broad distribution and applying an immutable lifecycle on top, Hadron starts minimal β an operating system designed exclusively to run workloads at the edge. No extra packages, no leftover baggage from desktop or server use cases.
The result: less surface area, fewer problems at scale.
Watch the announcement: https://ku.bz/wMhKpZ5bQ
Read the announcement: https://ku.bz/_9RmXnjDJ
Ettore Di Giacinto from Spectro Cloud explains the shift: instead of taking a broad distribution and applying an immutable lifecycle on top, Hadron starts minimal β an operating system designed exclusively to run workloads at the edge. No extra packages, no leftover baggage from desktop or server use cases.
The result: less surface area, fewer problems at scale.
Watch the announcement: https://ku.bz/wMhKpZ5bQ
Read the announcement: https://ku.bz/_9RmXnjDJ
β€1
This article explains chaos engineering practices for Kubernetes, covering how to design resilient systems by proactively testing failure scenarios like pod crashes, network failures, and resource exhaustion using tools like Chaos Mesh and LitmusChaos.
More: https://ku.bz/y74YwPMbq
More: https://ku.bz/y74YwPMbq
Forwarded from Kube Careers
This week's 6 Kubernetes junior jobs are:
Software Engineer with Galileo Financial Technologies
π° $105.6K to $198K a year
Remote from the United States of America, Canada, the United Kingdom (+7 more)
β https://ku.bz/ZrZddDMnS
Software Engineer with Palantir Technologies
π° $145K to $155K a year
Remote from the United States of America
β https://ku.bz/pS96chBGZ
Software Engineer with Freedom Technology Solutions Group
π° $135K to $155K a year
On-site in Annapolis Junction, MD, USA
β https://ku.bz/mRK33vwC2
Software Engineer with T-Rex Solutions
π° $130K to $160K a year
On-site in Ft. Meade, MD, USA
β https://ku.bz/C_r8Lfkk9
π Browse 5792 jobs on Kube Careers https://kube.careers
Software Engineer with Galileo Financial Technologies
π° $105.6K to $198K a year
Remote from the United States of America, Canada, the United Kingdom (+7 more)
β https://ku.bz/ZrZddDMnS
Software Engineer with Palantir Technologies
π° $145K to $155K a year
Remote from the United States of America
β https://ku.bz/pS96chBGZ
Software Engineer with Freedom Technology Solutions Group
π° $135K to $155K a year
On-site in Annapolis Junction, MD, USA
β https://ku.bz/mRK33vwC2
Software Engineer with T-Rex Solutions
π° $130K to $160K a year
On-site in Ft. Meade, MD, USA
β https://ku.bz/C_r8Lfkk9
π Browse 5792 jobs on Kube Careers https://kube.careers
MCP Operator deploys and validates MCP servers on Kubernetes with automatic protocol detection for SSE and Streamable HTTP, built-in monitoring via Prometheus and Grafana dashboards, optional metrics sidecar for request tracking, and HPA support.
More: https://ku.bz/7GhL57BxZ
More: https://ku.bz/7GhL57BxZ
Forwarded from Kube Careers
This week's 6 best Kubernetes Platform Engineer jobs are:
Platform Engineer with Pinterest
π° $242.63K to $499.54K a year
Remote from the United States of America
β https://ku.bz/1CDKh0GP2
Platform Engineer with NVIDIA
π° $224K to $431.25K a year
Remote from the United States of America
β https://ku.bz/NCCttvbkj
Platform Engineer with Perplexity
π° $250K to $405K a year
Fully remote
β https://ku.bz/GWdryCvpx
Platform Engineer with OKX
π° $268.33K to $375.67K a year
Fully remote
β https://ku.bz/7nDz6kmPm
Platform Engineer with Temporal Technologies
π° $300K to $340K a year
Remote from the United States of America, the United Kingdom, Germany (+5 more)
β https://ku.bz/Jjs0wRbbK
π Browse 6205 jobs on Kube Careers https://kube.careers
Platform Engineer with Pinterest
π° $242.63K to $499.54K a year
Remote from the United States of America
β https://ku.bz/1CDKh0GP2
Platform Engineer with NVIDIA
π° $224K to $431.25K a year
Remote from the United States of America
β https://ku.bz/NCCttvbkj
Platform Engineer with Perplexity
π° $250K to $405K a year
Fully remote
β https://ku.bz/GWdryCvpx
Platform Engineer with OKX
π° $268.33K to $375.67K a year
Fully remote
β https://ku.bz/7nDz6kmPm
Platform Engineer with Temporal Technologies
π° $300K to $340K a year
Remote from the United States of America, the United Kingdom, Germany (+5 more)
β https://ku.bz/Jjs0wRbbK
π Browse 6205 jobs on Kube Careers https://kube.careers