Scalability
MAAS is designed to manage a large number of machines, making it ideal for data centers and large-scale deployments.
Automation
MAAS supports extensive automation capabilities, simplifying tasks such as provisioning, configuration, and deployment of physical servers.
Flexibility
MAAS can work with a wide range of hardware and networking configurations, providing versatility for different environments.
Integration with Juju
MAAS integrates well with Juju, allowing for seamless orchestration of services and applications on top of the physical infrastructure.
Bare-Metal Provisioning
MAAS excels at bare-metal provisioning, giving users direct control over physical hardware for high-performance needs.
Monitoring and Alerting
MAAS includes built-in monitoring and alerting, helping administrators keep track of hardware status and performance.
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MAAS is considered a strong solution for organizations that need to manage large-scale physical server infrastructure with minimal overhead. Its automation capabilities, combined with its flexibility and scalability, make it a suitable choice for many IT environments.
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Check the traffic stats of MAAS on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of MAAS on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of MAAS's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of MAAS on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about MAAS on Reddit. This can help you find out how popualr the product is and what people think about it.
Another tool, maybe even more 'dedicated' for Ubuntu, would be Canonical MAAS, but I never used it personally. Source: over 2 years ago
Ah, I see. Yes, that is entirely possible with some engineering effort. But then youโre building a system that behaves sort of like Kubernetes, in that it serves as an availability controller machines themselves. https://maas.io/ is probably the fastest way to get there. Source: about 3 years ago
Instead look at bare metal K8s solutions. I wouldn't roll your own, look at Palette (https://www.spectrocloud.com/product) which has Canonical MAAS integration for bare metal K8s. Source: about 3 years ago
As it's a homelab, I do want to use it for experiments as well. I like to explore new tech, to see how it works and if it could fit my professional life as well (I work as a tech lead / architect for an semi-ecommerce store). Playing with tools like proxmox, maas.io, is fun - just because you can. But then running proxmox on some of these machines..? Source: about 3 years ago
I also use Ubuntu Server LTS in all my machines and it works perfectly fine, just install some utilities, check out RHEL Web Console for Ubuntu (aka cockpit) https://cockpit-project.org/ and the VM plugin (aka cockpit-machines), there is also a plugin to run containers and pods (aka cockpit-podman). You can also install MAAS https://maas.io/ wich is more related to Canonical/Ubuntu itself and uses LXC/LXD to do... Source: about 3 years ago
Have you checked https://maas.io/? The documentation says is possible https://maas.io/tutorials/maas-esxi-quickstart#1-overview. Source: about 3 years ago
Wow I just found this https://maas.io. Source: over 3 years ago
Is that a imaging or backup solution that you are trying to implement, hard to say. https://maas.io/ comes to mind but not sure what is your scale. Source: over 3 years ago
MAAS can do this, and can use cloud-init as well as commissioning scripts. You can do a LOT with cloud-init, much more than most people ever end up using. Source: over 3 years ago
With that much hardware, you can fancy a full "Bare Metal as a service" setup, with https://maas.io or likewise. Source: over 3 years ago
Maas.io is a solution for this, however idk if it natively supports raspberry pi. That would probably be proudly advertised if they did. Source: over 3 years ago
I haven't setup a PXE server in a long time. There are management tools like MaaS, Collins, Cobbler, etc that deal with the provisioning of systems. Source: over 3 years ago
I work for Canonical so a biased +1 for MAAS (Metal As A Service). Itโs got a pretty great workflow where you PXE boot an unknown server and it โcommissionsโ it by cataloguing all its hardware specs and running some hardware tests etc and adding it to the list of available services. Itโs ready to deploy through the web interface, cli or API. That installs the OS and pre configures the network and storage and adds... - Source: Hacker News / over 3 years ago
You could use tools such as https://maas.io/ and Ansible to setup the software on your machines in an automated way. You can buy hardware from many vendors. Maybe Dell or HP(E) websites are a easy start. You are looking for a competent sysadmin I believe, but good luck to attract one with such a small setup. Itโs probably not worth the cost anyway, and perhaps a few existing people in your team should do it... - Source: Hacker News / almost 4 years ago
I know there are solutions out there like MAAS for "at boot" / "from zero" provisioning, but I explained in another post that my goal was to simplify my approach - not add more tech stacks. Source: almost 4 years ago
Something like https://maas.io/ might do you for baremetal deploys. Source: almost 4 years ago
Haven't used it, but have heard https://maas.io/ recommended a few times. Source: almost 4 years ago
I am currently working myself through setting up our new Research GPU-Cluster where we have "sort of" managed to deploy MAAS to manage all the servers more efficiently, and on top of MAAS then use Juju to deploy the further components of the cluster. The components here are. Source: almost 4 years ago
Solutions like https://maas.io/ with Ansible using baseline configurations and such. For ESX you need partial host profiles in play for some stuff to make sure vSphere is sane for deployments that large. Source: about 4 years ago
You should be using MAAS (https://maas.io). It supports Ubuntu, CentOS, Windows, VMware ESXi and (with community help), other operating systems. Source: about 4 years ago
Just some old school CapEx metal in the homelab spinning up Kubernetes with terraform+maas+microk8s. Source: about 4 years ago
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