for-mac
Portainer
for-mac | Portainer | |
---|---|---|
93 | 337 | |
2,408 | 28,938 | |
0.4% | 1.5% | |
3.1 | 9.8 | |
3 months ago | 2 days ago | |
TypeScript | ||
- | zlib License |
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.
for-mac
- Caveat for Docker Dev Environment Rug Pull
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Emacs 29.1 Released
I use containers on Mac and Windows for development (and we deploy on linux). Docker for Mac is _unusably_ slow in my experience. The VM that it runs is a giant resource hog and a battery hog, and doesn't support ipv6 [0] Docker Desktop itself is (another) resource hog, wildly buggy, and painfully slow. It's the epitome of "shitty electron app".
On windows, docker desktop has all of the same issues as it does on mac. Docker's concept of volumes and file permissions on windows are nonsense. Windows updates and Docker Desktop regularly decide to disagree, [1] It's networking support interferes with other applications (like OpenVPN and the Xbox Game Center) [2].
[0] https://github.com/docker/for-mac/issues/1432
[1] https://github.com/docker/for-win/issues/599
[2] https://github.com/docker/for-win/issues/1976
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Error deploying subgraph on local
version: '3' services: graph-node: image: graphprotocol/graph-node ports: - '8000:8000' - '8001:8001' - '8020:8020' - '8030:8030' - '8040:8040' depends_on: - ipfs - postgres extra_hosts: - host.docker.internal:host-gateway environment: postgres_host: postgres postgres_user: graph-node postgres_pass: let-me-in postgres_db: graph-node ipfs: 'ipfs:5001' matic: 'matic:http://localhost:8545/' GRAPH_LOG: info ipfs: image: ipfs/go-ipfs:v0.10.0 ports: - '5001:5001' volumes: - ./data/ipfs:/data/ipfs postgres: image: postgres ports: - '5432:5432' command: [ "postgres", "-cshared_preload_libraries=pg_stat_statements" ] environment: POSTGRES_USER: graph-node POSTGRES_PASSWORD: let-me-in POSTGRES_DB: graph-node # FIXME: remove this env. var. which we shouldn't need. Introduced by # , maybe as a # workaround for https://github.com/docker/for-mac/issues/6270? PGDATA: "/var/lib/postgresql/data" POSTGRES_INITDB_ARGS: "-E UTF8 --locale=C" volumes: - ./data/postgres:/var/lib/postgresql/data
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ERR_CONNECTION_REFUSED on localhost
This bug has been around years and still not fixed as far as I know - see https://github.com/docker/for-mac/issues/3926
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Stuck at "Starting the Docker Engine..." on macOS
You're not wrong, and not the first to raise this https://github.com/docker/for-mac/issues/6061
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Docker Desktop is dead on Mac M1
https://github.com/docker/for-mac/issues/6867 This github issue might help. What worked for me was deleting the ~/.docker/buildx folder
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PiHole + docker DHCP
There has been an outstanding bug [Docker Github] for years with the Docker team who do not seem to be able (or want to) address this - they have closed more than one issue but its still there.. The latest bug report is this one [Docker Github] but I honestly would not bother following it - no idea why they are not fixing this.
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Mysterious Server Crashes
Have you checked if any of your other Docker containers become unresponsive at the same time? If so, it could be Docker. I had this issue on Docker for months until they finally came out with an update that works for me (Docker Desktop 4.19.0 for Mac).
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Very slow (local) direct playing with no apparent setup changes all of a sudden
It might have something to do with Docker? I was having issues a few months ago with all my containers becoming unreachable or very slow many times per day. I finally upgraded to Docker Desktop 4.19.0 (I’m on a Mac) and everything resolved. There were a few GitHub issues about it, too. You could try running a speedtest within different Docker containers and seeing if there’s a discrepancy. You could also check your RAM and CPU usage for different containers using something like Glances; it could lead to a clue.
- noob cannot connect to Docker Adguardhome
Portainer
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Homelab Adventures: Crafting a Personal Tech Playground
Portainer
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Runtipi: Docker-Based Home Server Management
> Any tips on the minimum hardware or VPS's needed to get a small swarm cluster setup?
From my testing, Docker Swarm is very lightweight, uses less memory than both Hashicorp Nomad and lightweight Kubernetes distros (like K3s). Most of the resource requirements will depend on what containers you actually want to run on the nodes.
You might build a cluster from a bunch of Raspberry Pis, some old OptiPlex boxes or laptops, or whatever you have laying around and it's mostly going to be okay. On a practical level, anything with 1-2 CPU cores and 4 GB of RAM will be okay for running any actually useful software, like a web server/reverse proxy, some databases (PostgreSQL/MySQL/MariaDB), as well as either something for a back end or some pre-packaged software, like Nextcloud.
So, even 5$/month VPSes are more than suitable, even from some of the more cheap hosts like Hetzner or Contabo (though the latter has a bad rep for limited/no support).
That said, you might also want to look at something like Portainer for a nice web based UI, for administering the cluster more easily, it really helps with discoverability and also gives you redeploy web hooks, to make CI easier: https://www.portainer.io/ (works for both Docker Swarm as well as Kubernetes, except the Kubernetes ingress control was a little bit clunky with Traefik instead of Nginx)
- Cómo instalar Docker CLI en Windows sin Docker Desktop y no morir en el intento
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Setup Portainer for Server App
In this section, we will add Portainer to help us in managing our Docker containers. You can find more details about it here. To integrate Portainer into our EC2 project, we can follow these steps:
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Old documentation url on Github issues gives ERR_TOO_MANY_REDIRECTS.
Git issues pointing to: https://docs.portainer.io/v/ce-2.9/start/install/agent/swarm/linux gives a ERR_TOO_MANY_REDIRECTS.
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Docker CI/CD with multiple docker-compose files.
I am currently running Portainer, but webhooks (GitOps) appear to be broken ( [2.19.0] GitOps Updates not automatically polling from git · Issue #10309 · portainer/portainer · GitHub ) and so I cannot send webhook to redeploy a stack. So, looking for alternatives. Using this as a good excuse to learn more about docker and CI/CD etc.
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Ask HN: How do you manage your “family data warehouse”?
A Synology NAS running Portainer (https://www.portainer.io/) running Paperless NGX (https://github.com/paperless-ngx/paperless-ngx)
This works better than I can possibly tell you.
I have an Epson WorkForce ES-580W that I bought when my mother passed away to bulk scan documents and it scans everything, double-sided if required, multi-page PDFs if required, at very high speed and uploads everything to OneDrive, at which point I drag and drop everything into Paperless.
I could, thinking about it, have the scanner email stuff to Paperless. Might investigate that today.
Paperless will OCR it and make it all searchable. This setup is amazing, I love living in the future.
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Bare-Metal Kubernetes, Part I: Talos on Hetzner
> I've come to the conclusion (after trying kops, kubespray, kubeadm, kubeone, GKE, EKS) that if you're looking for < 100 node cluster, docker swarm should suffice. Easier to setup, maintain and upgrade.
Personally, I'd also consider throwing Portainer in there, which gives you both a nice way to interact with the cluster, as well as things like webhooks: https://www.portainer.io/
With something like Apache, Nginx, Caddy or something else acting as your "ingress" (taking care of TLS, reverse proxy, headers, rate limits, sometimes mTLS etc.) it's a surprisingly simple setup, at least for simple architectures.
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What are some of your fav panels and why?
casaos it just makes things like backups, offsite syncing and many other nas related things so much easier to manage. And gives you a proper nas like experience similar to that in which you'd fine on companies like tnas or synology. I actually also use it as a replacement for portainer when i don't need the more advanced features it offers
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Kubernetes Exposed: One YAML Away from Disaster
> I moved to docker swarm and love it. It's so much easier, straight forward, automatic ingress network and failover were all working out of the box. I'll stay with swarm for now.
I've had decent luck in the past with the K3s distribution, which is a bit cut down Kubernetes: https://k3s.io/
It also integrates nicely with Portainer (aside from occasional Traefik ingress weirdness sometimes), which I already use for Swarm and would suggest to anyone that wants a nice web based UI: https://www.portainer.io/
Others might also mention K0s, MicroK8s or others - there's lots of options there. But even so, I still run Docker Swarm for most of my private stuff as well and it's a breeze.
For my needs, it has just the right amount of abstractions: stacks with services that use networks and can have some storage in the form of volumes or bind mounts. Configuration in the form of environment variables and/or mounted files (or secrets), some deployment constraints and dependencies sometimes, some health checks and restart policies, as well as resource limits.
If I need a mail server, then I just have a container that binds to the ports (even low port numbers) that I need and configure it. If I need a web server, then I can just run Apache/Nginx/Caddy and use more or less 1:1 configuration files that I'd use when setting up either outside of containers, but with the added benefit of being able to refer to other apps by their service names (or aliases, if they have underscores in the names, which sometimes isn't liked).
At a certain scale, it's dead simple to use - no need for PVs and PVCs, no need for Ingress and Service abstractions, or lots and lots of templating that Helm charts would have (although those are nice in other ways).
What are some alternatives?
UTM - Virtual machines for iOS and macOS
Yacht - A web interface for managing docker containers with an emphasis on templating to provide 1 click deployments. Think of it like a decentralized app store for servers that anyone can make packages for.
gvisor - Application Kernel for Containers
swarmpit - Lightweight mobile-friendly Docker Swarm management UI
podman - Podman: A tool for managing OCI containers and pods.
runtime - Kata Containers version 1.x runtime (for version 2.x see https://github.com/kata-containers/kata-containers).
OpenMediaVault - openmediavault is the next generation network attached storage (NAS) solution based on Debian Linux. Thanks to the modular design of the framework it can be enhanced via plugins. openmediavault is primarily designed to be used in home environments or small home offices.
podman-compose - a script to run docker-compose.yml using podman
CasaOS - CasaOS - A simple, easy-to-use, elegant open-source Personal Cloud system.
projector-installer - Install, configure and run JetBrains IDEs with Projector Server on Linux or in WSL