Nomad VS k3s

Compare Nomad vs k3s and see what are their differences.

Nomad

Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations. (by hashicorp)

k3s

Lightweight Kubernetes (by k3s-io)
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Nomad k3s
77 241
13,160 22,115
1.5% 1.4%
9.9 9.3
1 day ago 7 days ago
Go Go
Mozilla Public License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Nomad

Posts with mentions or reviews of Nomad. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-04.

k3s

Posts with mentions or reviews of k3s. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-29.
  • Multi-Arch Docker Containers
    3 projects | dev.to | 29 Jan 2023
    Then along came Scaleway with their very cheap ARM clouds and K3S with a lightweight Kubernetes that was perfect for Raspberry Pis. Now you can have very cost-effective and (with enough nodes) high-performing clusters running on machines lying around your office. These are perfect for development and staging clusters to test out your applications.
  • Ask HN: What is the best source to learn Docker in 2023?
    8 projects | news.ycombinator.com | 29 Jan 2023
    I'd say that going from Docker Compose to Docker Swarm is the first logical step, because it's included in a Docker install and also uses the same Compose format (with more parameters, such as deployment constraints, like which node hostname or tag you want a certain container to be scheduled on): https://docs.docker.com/compose/compose-file/compose-file-v3... That said, you won't see lots of Docker Swarm professionally anymore - it's just the way the job market is, despite it being completely sufficient for many smaller projects out there, I'm running it in prod successfully so far and it's great.

    Another reasonably lightweight alternative would be Hashicorp Nomad, because it's free, simple to deploy and their HCL format isn't too bad either, as long as you keep things simple, in addition to them supporting more than just container workloads: https://www.hashicorp.com/products/nomad That said, if you don't buy into HashiStack too much, then there won't be too much benefit from learning HCL and translating the contents of various example docker-compose.yml files that you see in a variety of repos out there, although their other tools are nice - for example, Consul (a service mesh). This is a nice but also a bit niche option.

    Lastly, there is Kubernetes. It's complicated, even more so when you get into solutions like Istio, typically eats up lots of resources, can be difficult to manage and debug, but does pretty much anything that you might need, as long as you have either enough people to administer it, or a wallet that's thick enough for you to pay one of the cloud vendors to do it for you. Personally, I'd look into the lightweight clusters at first, like k0s, MicroK8s, or perhaps the K3s project in particular: https://k3s.io/

    I'd also suggest that if you get this far, don't be afraid to look into options for dashboards and web based UIs to make exploring things easier:

      - for Docker Swarm and Kubernetes there is Portainer: https://www.portainer.io/
  • K3s to Skill Up?
    2 projects | reddit.com/r/kubernetes | 24 Jan 2023
  • Local Kubernetes Playground Made Easy
    3 projects | dev.to | 20 Jan 2023
    Here is the best part! K3d is a wrapper around k3s and can set up your entire cluster using Docker in no time. It should be noted that this is not intended for production, but it is intended for tinkerers, learning, and exam prep. Here's an example command and then we will break it down:
  • Installing A Local Kubernetes
    3 projects | dev.to | 15 Jan 2023
    k3s
  • Docker 2.0 went from $11M to $135M in 2 years
    7 projects | news.ycombinator.com | 13 Jan 2023
    > I tried portainer, awful UX experience and all good features are inside paid version.

    This is interesting to me, because it doesn't quite match my experience - I've been using Portainer for around 3 years at this point and it's been pretty decent.

    The worst issues that I've gotten is networking issues in some hybrid configurations with Docker Swarm (e.g. Portainer cannot reach the manager node of the cluster for a bit), or troubles configuring Traefik ingresses when managing Kubernetes (though I think the recent patch notes talked about improving the ingress section, so maybe the experience will get better with non-Nginx ingresses).

    Other than that, it's been great for onboarding new people, illustrating the cluster state at a glance, easily operating with stacks and scaling/restarting services as needed, including pulling new images, viewing the logs or even connecting to containers through a web UI if need be. The webhook functionality in particular is really nice - you can just do a curl request against a given URL and that will pull the new container versions for the given image and do a redeploy, which works nicely with a variety of CI solutions.

    When I last tried, initializing Nomad clusters with networking encryption was a bit less of a smooth experience (needing to essentially manage your own PKI) and the web UI felt more like a dashboard, instead of something that you could click around in, if you're a proponent of that workflow.

    Rancher is probably better than both of those options, though there's a certain overhead in regards to running both that software and a full Kubernetes cluster. If Kubernetes feels like a good fit for a particular project and resources aren't an issue, definitely check it out! You can, of course, also have some success with lightweight clusters, like K3s: https://k3s.io/

    I'll definitely agree that Lazydocker is a nice tool, but I wouldn't call it superior, just different (TUI vs GUI), their demo video is nice though: https://youtu.be/NICqQPxwJWw

    It actually reminds me of ctop, which you might also want to check out, though it's not something that you'd manage clusters in, merely the individual containers on a node (which won't always be enough, same as Docker Compose isn't): https://github.com/bcicen/ctop

    Regardless, for Kubernetes, I'm inclined to say that you'd enjoy k9s a bunch then, it has a similar TUI approach: https://k9scli.io/

  • Despliega un clúster de Kubernetes en segundos con k3sup
    6 projects | dev.to | 9 Jan 2023
    $ k3sup install --ip $IP --user $USER Running: k3sup install 2023/01/10 01:10:17 44.204.142.40 Public IP: 192.168.0.1 [INFO] Finding release for channel stable [INFO] Using v1.25.4+k3s1 as release [INFO] Downloading hash https://github.com/k3s-io/k3s/releases/download/v1.25.4+k3s1/sha256sum-amd64.txt [INFO] Downloading binary https://github.com/k3s-io/k3s/releases/download/v1.25.4+k3s1/k3s [INFO] Verifying binary download [INFO] Installing k3s to /usr/local/bin/k3s [INFO] Creating /usr/local/bin/kubectl symlink to k3s [INFO] Creating /usr/local/bin/crictl symlink to k3s [INFO] Creating /usr/local/bin/ctr symlink to k3s [INFO] Creating killall script /usr/local/bin/k3s-killall.sh [INFO] Creating uninstall script /usr/local/bin/k3s-uninstall.sh [INFO] env: Creating environment file /etc/systemd/system/k3s.service.env [INFO] systemd: Creating service file /etc/systemd/system/k3s.service [INFO] systemd: Enabling k3s unit Created symlink from /etc/systemd/system/multi-user.target.wants/k3s.service to /etc/systemd/system/k3s.service. [INFO] systemd: Starting k3s Result: [INFO] Finding release for channel stable [INFO] Using v1.25.4+k3s1 as release [INFO] Downloading hash https://github.com/k3s-io/k3s/releases/download/v1.25.4+k3s1/sha256sum-amd64.txt [INFO] Downloading binary https://github.com/k3s-io/k3s/releases/download/v1.25.4+k3s1/k3s [INFO] Verifying binary download [INFO] Installing k3s to /usr/local/bin/k3s [INFO] Creating /usr/local/bin/kubectl symlink to k3s [INFO] Creating /usr/local/bin/crictl symlink to k3s [INFO] Creating /usr/local/bin/ctr symlink to k3s [INFO] Creating killall script /usr/local/bin/k3s-killall.sh [INFO] Creating uninstall script /usr/local/bin/k3s-uninstall.sh [INFO] env: Creating environment file /etc/systemd/system/k3s.service.env [INFO] systemd: Creating service file /etc/systemd/system/k3s.service [INFO] systemd: Enabling k3s unit [INFO] systemd: Starting k3s Created symlink from /etc/systemd/system/multi-user.target.wants/k3s.service to /etc/systemd/system/k3s.service. Saving file to: /home/ec2-user/kubeconfig # Test your cluster with: export KUBECONFIG=/home/roxsross/kubeconfig kubectl config use-context default kubectl get node -o wide 🐳 k3sup needs your support: https://github.com/sponsors/alexellisll
    6 projects | dev.to | 9 Jan 2023
  • Production Twitter on One Machine: 100Gbps NICs and NVMe Are Fast
    5 projects | news.ycombinator.com | 7 Jan 2023
    I go with k8s even on a single server nowadays, it just makes everything so much more convenient.

    https://k3s.io/ makes it really easy to set up, too.

  • Running Kubernetes on Raspberry Pi 4 8GB
    4 projects | reddit.com/r/kubernetes | 28 Dec 2022
    Stand-alone k3s, https://k3s.io

What are some alternatives?

When comparing Nomad and k3s you can also consider the following projects:

k0s - k0s - The Zero Friction Kubernetes

kubespray - Deploy a Production Ready Kubernetes Cluster

microk8s - MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge.

Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts

Docker Compose - Define and run multi-container applications with Docker

Dkron - Dkron - Distributed, fault tolerant job scheduling system https://dkron.io

kops - Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management

Portainer - Making Docker and Kubernetes management easy.

k3d - Little helper to run CNCF's k3s in Docker

k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!

kubernetes - Production-Grade Container Scheduling and Management