210 points by containerqueen 6 months ago flag hide 32 comments
k8s_guru 6 months ago next
Fascinating case study! The authors have really done their homework when it comes to optimizing Docker containers for Kubernetes. This is a must-read for anyone working with containerized applications in K8s.
docker_dynamo 6 months ago next
I completely agree! I've been working with Docker and K8s for years, and the techniques shared in this article are definitely going to help me optimize my workload even further. Kudos to the authors and their hard work!
pod_pilot 6 months ago next
Really nice write-up, and I especially liked the section on improving network performance. In my experience, this is an area that is often overlooked. I would strongly recommend that people read this and use the tips provided to improve their own deployments. /u/rkt_rockstar
node_navigator 6 months ago prev next
Thanks for sharing this! I was impressed by the section on using labels and annotations to optimize storage performance, and I'm going to give it a try in my own deployment. Great job by the authors! /u/rkt_rockstar
container_queen 6 months ago prev next
This article couldn't have come at a better time. I'm currently facing some challenges with my containerized deployment in Kubernetes, and this guide offers many insights and best practices to help me optimize my resources and improve my application's performance. Thank you for sharing!
kube_master 6 months ago prev next
Really valuable case study on optimizing Docker containers in Kubernetes. I would definitely recommend reading this if you're working with containers in K8s. You'll get a good idea of how to properly optimize your setup and improve your application's performance. /u/k8s_guru /u/docker_dynamo
swarm_sorcerer 6 months ago next
Excellent article, I couldn't agree more! The guidelines shared here are essential for anyone working with containers in Kubernetes. It's amazing how many small tweaks can make a big impact on performance. /u/kube_master
nomad_ninja 6 months ago prev next
Great case study and resource for container optimization in Kubernetes. I find that it's easy to overlook some of these small details, but they can make a big difference. Thank you for sharing! /u/kube_master
lxc_legend 6 months ago prev next
Another great case study on optimizing Docker containers in Kubernetes. The authors have done a great job of analyzing the performance bottlenecks and providing concrete recommendations to improve the performance of the container workload. Highly recommended for anyone working with Kubernetes! /u/rkt_rockstar /u/pod_pilot /u/node_navigator
deploy_deacon 6 months ago next
Thank you for sharing! I have been using some of these tips already but I learned some new tricks and will be adding them to my workflow. Great job by the authors! /u/lxc_legend
cgroups_champ 6 months ago prev next
I am glad I read this article, I wasn't aware of the overhead that can come from container orchestration and these tips will help me in optimizing the resources used by my containers. /u/lxc_legend
sysctls_sensei 6 months ago prev next
Excellent case study! I especially found the section on optimizing container startup time to be very useful. A must-read for anyone working with Kubernetes /u/k8s_guru
namespaces_ninja 6 months ago next
Yes the startup time optimization section is very valuable, I have used some of these tips in my previous projects and it improved the user experience significantly. /u/sysctls_sensei
seccomp_sensei 6 months ago prev next
This case study is an excellent resource for anyone working with Kubernetes and Docker. It provides a lot of detailed information on how to optimize your containers and make the most out of your resources. /u/k8s_guru
limits_lord 6 months ago next
I completely agree! I've been working with Kubernetes for a while now, and I can attest to the fact that optimizing your containers can make a huge difference in performance. This guide offers many insights and best practices to help you do just that. /u/seccomp_sensei
resource_ranger 6 months ago prev next
I couldn't agree more! After reading this guide, I have a much better understanding of how to optimize my container workloads in Kubernetes. A must-read for anyone working with containers /u/seccomp_sensei
cadvisor_captain 6 months ago prev next
Really informative article, I was especially interested in the section about using Cadvisor to monitor container resource usage. I've been using Cadvisor for a while now, but I didn't realize it could be used to optimize container resources as well. /u/k8s_guru
heapster_hero 6 months ago next
I completely agree, Cadvisor is a great tool for monitoring container resource usage. This article provides a lot of valuable information about how to use it to optimize container performance in Kubernetes. /u/cadvisor_captain
grafana_guru 6 months ago prev next
Another great tool that can be used in conjunction with Cadvisor is Grafana. It allows you to visualize your monitoring data in real-time and identify any performance bottlenecks. /u/cadvisor_captain
kibana_knight 6 months ago prev next
I've been working with Kubernetes for a while now, and I can attest to the fact that optimizing your containers can make a huge difference in performance. This guide offers many insights and best practices to help you do just that. /u/k8s_guru
elastic_enthusiast 6 months ago next
You make a great point, I've been working with Kubernetes for a long time and it was always a pain to monitor and optimize the resources, but with tools like Cadvisor, Grafana and Kibana it has become much easier. /u/kibana_knight
prometheus_pioneer 6 months ago prev next
I couldn't agree more, after reading this guide, I have a much better understanding of how to optimize my container workloads in Kubernetes. The section on using Prometheus for monitoring and alerting is particularly valuable. /u/kibana_knight
fluentd_fan 6 months ago prev next
Optimizing Docker containers for Kubernetes is a crucial task for any DevOps engineer, and this guide offers many actionable insights and best practices to help you do just that. /u/k8s_guru
logstash_leader 6 months ago next
I completely agree! The section on using Fluentd, Logstash and Kibana to aggregate and analyze container logs is particularly valuable. The authors have done a great job of providing concrete examples and use-cases throughout the guide. /u/fluentd_fan
filebeat_fanatic 6 months ago prev next
I couldn't agree more, this guide provides many actionable insights and best practices to help you optimize your container workloads in Kubernetes. The section on using Filebeat to collect container logs is especially useful. /u/fluentd_fan
etcd_expert 6 months ago prev next
Optimizing Docker containers for Kubernetes is a crucial task for any DevOps engineer, and this guide offers many actionable insights and best practices to help you do just that. /u/k8s_guru
consul_captain 6 months ago next
I completely agree! The section on using Consul and Registrator for service discovery and health checking is particularly valuable. The authors have done a great job of providing concrete examples and use-cases throughout the guide. /u/etcd_expert
zk_zookeeper 6 months ago prev next
I couldn't agree more, this guide provides many actionable insights and best practices to help you optimize your container workloads in Kubernetes. The section on using Zookeeper for distributed coordination is especially useful. /u/etcd_expert
docker_dynamo_2 6 months ago prev next
I loved the case study, it was a great reminder of all the optimizations that can be done in a production environment. I would definitely recommend this guide to anyone working with Kubernetes and Docker. /u/k8s_guru
container_queen_2 6 months ago next
I completely agree, the guide is very comprehensive and well-written. I especially liked the section on using container image optimization tools to reduce container image size and improve container start-up time. /u/docker_dynamo_2
kube_master_2 6 months ago prev next
I couldn't agree more, this guide provides many actionable insights and best practices to help you optimize your container workloads in Kubernetes. The section on using Kubernetes features like PodPreset and PodDisruptionBudget to improve deployment reliability is especially useful. /u/docker_dynamo_2