This article covers:
- Single Ingress controller with multiple Ingress resources.
- Multiple Ingress Controllers.
- Cross-namespace configuration for managing multiple paths efficiently.
More: https://medium.com/@kedarnath93/ingress-in-kubernetes-with-nginx-ed31607fa339
- Single Ingress controller with multiple Ingress resources.
- Multiple Ingress Controllers.
- Cross-namespace configuration for managing multiple paths efficiently.
More: https://medium.com/@kedarnath93/ingress-in-kubernetes-with-nginx-ed31607fa339
Forwarded from Kube Careers
This week's 6 best Kubernetes leadership jobs are:
Engineering Manager with Figma
💰 $240K to $350K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c455d32a-60a0-42e0-b4f2-b8876fd910e1?s=55
Engineering Manager with Reddit
💰 $206.7K to $289.4K a year
👨💻 Remote from the United States, Canada
→ https://kube.careers/t/8f8b6703-2758-4b64-8402-8447b99d2917?s=55
Engineering Manager with DoorDash
💰 $171.6K to $302.9K a year
👨💻 Remote from the United States
→ https://kube.careers/t/a7df4a3d-6902-4823-9a68-db65c7ad7fcf?s=55
Software Engineer with PingCAP
💰 $180K to $260K a year
👨💻 Remote from the United States
→ https://kube.careers/t/6e176904-b6fa-44f2-8238-def88fc28119?s=55
Software Engineer with Veeva Systems
💰 $110K to $270K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c6ba984b-9440-451d-bc81-4ad756407d8e?s=55
👉 Browse all 445 Kubernetes jobs on Kube Careers https://kube.careers
Engineering Manager with Figma
💰 $240K to $350K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c455d32a-60a0-42e0-b4f2-b8876fd910e1?s=55
Engineering Manager with Reddit
💰 $206.7K to $289.4K a year
👨💻 Remote from the United States, Canada
→ https://kube.careers/t/8f8b6703-2758-4b64-8402-8447b99d2917?s=55
Engineering Manager with DoorDash
💰 $171.6K to $302.9K a year
👨💻 Remote from the United States
→ https://kube.careers/t/a7df4a3d-6902-4823-9a68-db65c7ad7fcf?s=55
Software Engineer with PingCAP
💰 $180K to $260K a year
👨💻 Remote from the United States
→ https://kube.careers/t/6e176904-b6fa-44f2-8238-def88fc28119?s=55
Software Engineer with Veeva Systems
💰 $110K to $270K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c6ba984b-9440-451d-bc81-4ad756407d8e?s=55
👉 Browse all 445 Kubernetes jobs on Kube Careers https://kube.careers
GitOps Bridge is a community project that aims to showcase best practices and patterns for bridging the process of creating a Kubernetes cluster and subsequently managing everything through GitOps.
It focuses on using ArgoCD or FluxCD.
More: https://github.com/gitops-bridge-dev/gitops-bridge
It focuses on using ArgoCD or FluxCD.
More: https://github.com/gitops-bridge-dev/gitops-bridge
Forwarded from Learnk8s news
This article provides a deep dive into kube-scheduler, focusing on customizing preemption for ML workloads.
Key topics covered include misconceptions, an overview of the scheduling framework, and a detailed explanation of default preemption.
More: https://awelm.com/posts/kube-scheduler
Key topics covered include misconceptions, an overview of the scheduling framework, and a detailed explanation of default preemption.
More: https://awelm.com/posts/kube-scheduler
This article explores Helm Hooks — a feature that allows running tasks before or after Helm releases.
It covers adding hooks for deployment alerts, types of hooks, execution order, and cleanup strategies.
More: https://medium.com/@mkdev/how-to-use-helm-hooks-for-fun-and-profit-c78940463d5b
It covers adding hooks for deployment alerts, types of hooks, execution order, and cleanup strategies.
More: https://medium.com/@mkdev/how-to-use-helm-hooks-for-fun-and-profit-c78940463d5b
Forwarded from KubeFM
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In this KubeFM episode, Mircea shares his journey of migrating a home lab to Kubernetes, specifically choosing Talos over other operating systems like Ubuntu, Flatcar, or Bottlerocket.
Mircea also discusses his decision-making process and experiences in setting up and optimizing his Kubernetes home lab. You will learn:
- What is Talos Linux and how it compares to other operating systems.
- The challenges and considerations involved in migrating to Kubernetes, including selecting network plugins and GitOps.
- Insights into managing and securing Kubernetes clusters, focusing on the advantages of immutable operating systems.
Watch (or listen to) it here: https://kube.fm/talos-mircea
🙏 Many thanks to DigitalOcean for supporting our work and sponsoring this episode. Make sure to check out their managed Kubernetes service (and enjoy $200 free credits) https://do.co/kubefm
With @Birthmarkb "Crazy Rich Asian" Farrell
Mircea also discusses his decision-making process and experiences in setting up and optimizing his Kubernetes home lab. You will learn:
- What is Talos Linux and how it compares to other operating systems.
- The challenges and considerations involved in migrating to Kubernetes, including selecting network plugins and GitOps.
- Insights into managing and securing Kubernetes clusters, focusing on the advantages of immutable operating systems.
Watch (or listen to) it here: https://kube.fm/talos-mircea
🙏 Many thanks to DigitalOcean for supporting our work and sponsoring this episode. Make sure to check out their managed Kubernetes service (and enjoy $200 free credits) https://do.co/kubefm
With @Birthmarkb "Crazy Rich Asian" Farrell
The article provides a tutorial on deploying Airflow to Kubernetes using minikube, covering topics such as loading DAGs to Airflow and adding dependencies to the Airflow image.
More: https://medium.com/@rupertarup/getting-started-with-airflow-deploying-your-first-pipeline-on-kubernetes-0014495e6c92
More: https://medium.com/@rupertarup/getting-started-with-airflow-deploying-your-first-pipeline-on-kubernetes-0014495e6c92
The article discusses the efficient scaling of pods using the vertical pod autoscaler (VPA) and horizontal pod autoscaler (HPA).
It also highlights the challenges and solutions in implementing these methods.
More: https://aatarasoff.medium.com/how-to-efficiently-scale-the-pods-448c29ec7a24
It also highlights the challenges and solutions in implementing these methods.
More: https://aatarasoff.medium.com/how-to-efficiently-scale-the-pods-448c29ec7a24
Forwarded from Kube Careers
This week's 6 best Kubernetes architect vacancies are:
★ Infrastructure Architect with NetApp
💰 $235.03K to $330K a year
🏠🏃🏻♂️🌎 San Jose, CA, USA
→ https://kube.careers/t/62c387b8-5d32-4ba4-8545-6119b876de1f?s=55
Infrastructure Architect with Coupang Internal
💰 $159K to $324K a year
👨💻 Remote from the United States
→ https://kube.careers/t/7a84e3ee-270f-4c18-b89b-ac0a8a928743?s=55
Software Architect with All in Bits
💰 $200K to $245K a year
👨💻 Remote from the United States
→ https://kube.careers/t/2c19f659-251c-4ac7-a562-1c6d3285aa76?s=55
Solution Architect with NVIDIA
💰 $180K to $260K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c0cfba19-fb2c-47f6-a321-04b5fb823575?s=55
Software Architect with Saviynt
💰 $180K to $240K a year
👨💻 Remote from the United States
→ https://kube.careers/t/97531f04-c3a3-4ee4-9e56-151318fb97e9?s=55
👉 Browse all 450 Kubernetes jobs on Kube Careers https://kube.careers
★ Infrastructure Architect with NetApp
💰 $235.03K to $330K a year
🏠🏃🏻♂️🌎 San Jose, CA, USA
→ https://kube.careers/t/62c387b8-5d32-4ba4-8545-6119b876de1f?s=55
Infrastructure Architect with Coupang Internal
💰 $159K to $324K a year
👨💻 Remote from the United States
→ https://kube.careers/t/7a84e3ee-270f-4c18-b89b-ac0a8a928743?s=55
Software Architect with All in Bits
💰 $200K to $245K a year
👨💻 Remote from the United States
→ https://kube.careers/t/2c19f659-251c-4ac7-a562-1c6d3285aa76?s=55
Solution Architect with NVIDIA
💰 $180K to $260K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c0cfba19-fb2c-47f6-a321-04b5fb823575?s=55
Software Architect with Saviynt
💰 $180K to $240K a year
👨💻 Remote from the United States
→ https://kube.careers/t/97531f04-c3a3-4ee4-9e56-151318fb97e9?s=55
👉 Browse all 450 Kubernetes jobs on Kube Careers https://kube.careers
Forwarded from Learnk8s news
This week on the Learn Kubernetes Weekly:
🐦⬛ The basics of observing Kubernetes
🔵 From blue to green: EKS upgrade
🤿 A deeper dive of kube-scheduler
⚒️ Writing custom kubectl commands
🪝 Helm Hooks for fun and profit
Read it now: https://learnk8s.io/issues/79
🐦⬛ The basics of observing Kubernetes
🔵 From blue to green: EKS upgrade
🤿 A deeper dive of kube-scheduler
⚒️ Writing custom kubectl commands
🪝 Helm Hooks for fun and profit
Read it now: https://learnk8s.io/issues/79
This article discusses the pitfalls of health checks in Kubernetes.
It highlights the importance of redefining when an application is ready to prevent cascading failures and emphasizes the need to use deep health checks carefully in distributed systems.
More: https://encore.dev/blog/horror-stories-k8s
It highlights the importance of redefining when an application is ready to prevent cascading failures and emphasizes the need to use deep health checks carefully in distributed systems.
More: https://encore.dev/blog/horror-stories-k8s
The article provides essential tips for optimizing JVM applications running on Kubernetes, focusing on ergonomics, memory sizing, CPU overbooking, and HPA configuration.
More: https://thiago-mendes.medium.com/running-jvm-applications-on-kubernetes-beyond-java-jar-a095949f3e34
More: https://thiago-mendes.medium.com/running-jvm-applications-on-kubernetes-beyond-java-jar-a095949f3e34
Forwarded from Learnk8s news
Master Kubernetes with Learnk8s' Advanced Kubernetes workshops!
What should you expect?
- Learn how to architect and design clusters from the ground up (in the cloud or on-prem).
- Explore the Kubernetes internal component and how the system is designed with resiliency in mind.
- Deep-dive into the networking components and observe the packets flowing into the cluster.
- Hands-on labs to test the theory with real-world scenarios!
- And more.
The next courses start in June (online & in Munich): https://learnk8s.io/training
We also run in-person courses and corporate training: https://learnk8s.io/corporate-training
What should you expect?
- Learn how to architect and design clusters from the ground up (in the cloud or on-prem).
- Explore the Kubernetes internal component and how the system is designed with resiliency in mind.
- Deep-dive into the networking components and observe the packets flowing into the cluster.
- Hands-on labs to test the theory with real-world scenarios!
- And more.
The next courses start in June (online & in Munich): https://learnk8s.io/training
We also run in-person courses and corporate training: https://learnk8s.io/corporate-training
pv-migrate is a CLI tool/kubectl plugin to easily migrate the contents of one Kubernetes PersistentVolumeClaim to another.
More: https://github.com/utkuozdemir/pv-migrate
More: https://github.com/utkuozdemir/pv-migrate
Forwarded from Learnk8s news
This article discusses fine-tuning Llama2 on Kubernetes, highlighting the resource-intensive nature of the task.
It covers the setup, training script, dataset, and deployment on single-node single GPU, single-node multi GPU, and multi-node multi GPU.
More: https://medium.com/@bchenjh/full-fine-tuning-of-llama2-on-kubernetes-a983e1eb2259
It covers the setup, training script, dataset, and deployment on single-node single GPU, single-node multi GPU, and multi-node multi GPU.
More: https://medium.com/@bchenjh/full-fine-tuning-of-llama2-on-kubernetes-a983e1eb2259
The article explores using Argo Rollouts for stateful services, focusing on managing production queues and databases during deployments.
It discusses leveraging the Kubernetes Downward API and Argo Rollouts Ephemeral labels to automate the process.
More: https://codefresh.io/blog/progressive-delivery-for-stateful-services-using-argo-rollouts
It discusses leveraging the Kubernetes Downward API and Argo Rollouts Ephemeral labels to automate the process.
More: https://codefresh.io/blog/progressive-delivery-for-stateful-services-using-argo-rollouts
This repository contains a list of free trials/credits for Managed Kubernetes Services.
More: https://github.com/learnk8s/free-kubernetes
More: https://github.com/learnk8s/free-kubernetes
This article discusses how to optimize Java performance on Kubernetes and covers:
- CPU and memory requests and limits
- Kubernetes probes
- Selecting the right garbage collector
- Using a small base OS image
- Reducing startup and warmup time.
More: https://lalitchaturveditech.medium.com/optimize-java-performance-on-kubernetes-5f055d406ecf
- CPU and memory requests and limits
- Kubernetes probes
- Selecting the right garbage collector
- Using a small base OS image
- Reducing startup and warmup time.
More: https://lalitchaturveditech.medium.com/optimize-java-performance-on-kubernetes-5f055d406ecf
Forwarded from Kube Careers
This week's 6 best Kubernetes leadership jobs are:
Engineering Manager with Sefaria
💰 $94.82K to $107.89K a year
👨💻 Remote from Israel
→ https://kube.careers/t/14b94e1c-5c70-4c74-aa67-9881f9782e1b?s=55
Engineering Manager with Figma
💰 $240K to $350K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c455d32a-60a0-42e0-b4f2-b8876fd910e1?s=55
Software Engineer with PingCAP
💰 $180K to $260K a year
👨💻 Remote from the United States
→ https://kube.careers/t/6e176904-b6fa-44f2-8238-def88fc28119?s=55
Software Engineer with StackedSP Inc
💰 $150K to $240K a year
👨💻 Remote from the United States
→ https://kube.careers/t/9e115474-e60d-4aa8-9fed-6d5f0c10b09f?s=55
Software Engineer with Veeva Systems
💰 $110K to $270K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c6ba984b-9440-451d-bc81-4ad756407d8e?s=55
👉 Browse all 443 Kubernetes jobs on Kube Careers https://kube.careers
Engineering Manager with Sefaria
💰 $94.82K to $107.89K a year
👨💻 Remote from Israel
→ https://kube.careers/t/14b94e1c-5c70-4c74-aa67-9881f9782e1b?s=55
Engineering Manager with Figma
💰 $240K to $350K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c455d32a-60a0-42e0-b4f2-b8876fd910e1?s=55
Software Engineer with PingCAP
💰 $180K to $260K a year
👨💻 Remote from the United States
→ https://kube.careers/t/6e176904-b6fa-44f2-8238-def88fc28119?s=55
Software Engineer with StackedSP Inc
💰 $150K to $240K a year
👨💻 Remote from the United States
→ https://kube.careers/t/9e115474-e60d-4aa8-9fed-6d5f0c10b09f?s=55
Software Engineer with Veeva Systems
💰 $110K to $270K a year
👨💻 Remote from the United States
→ https://kube.careers/t/c6ba984b-9440-451d-bc81-4ad756407d8e?s=55
👉 Browse all 443 Kubernetes jobs on Kube Careers https://kube.careers
Forwarded from K3sDaily
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With k-inv, you can stress a Kubernetes cluster in a fun way and check its resilience by playing space invaders.
More: https://github.com/lucky-sideburn/kubeinvaders
More: https://github.com/lucky-sideburn/kubeinvaders