What is Webmin and what are its top alternatives?
Top Alternatives to Webmin
- phpMyAdmin
As a portable web application written primarily in PHP, it has become one of the most popular MySQL administration tools, especially for web hosting services. ...
- cPanel
It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals ...
- Cockpit
An API-driven CMS without forcing you to make compromises in how you implement your site. The CMS for developers. Manage content like collections, regions, forms and galleries which you can reuse anywhere on your website. ...
- Plesk
Build and manage multiple sites from a single dashboard. You can also run updates, monitor performance and onboard new prospects all from the same place. It is a WebOps platform to run, automate and grow applications, websites and hosting businesses. ...
- DirectAdmin
It is a graphical web-based web hosting control panel designed to make administration of websites easier. It is an extremely efficient control panel that uses the bare minimum of system resources. This makes it ideal for systems ranging from low-end VPS units to heavily-loaded dedicated servers ...
- Ansible
Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use. ...
- Terraform
With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel. ...
- Dotenv
It is a zero-dependency module that loads environment variables from a .env file into process.env. Storing configuration in the environment separate from code is based on The Twelve-Factor App methodology. ...
Webmin alternatives & related posts
- Query linter5
- Easy data access5
- User administration5
- Insecure1
related phpMyAdmin posts
- Backups3
- Documentation3
- Databases Management2
- DNS Zone Editor2
- Security2
- Extensions1
- Not free2
related cPanel posts
I'm planning to make a web app with browser games that would be a Progressive Web App. I decided to use Vue.js as the front framework and Firebase to store basic information about users. Then I found out about Nuxt.js and I figured it could be really handy for making the project as PWA.
The thing is, that I don't know if I will need Server Side Rendering for this, I couldn't find a lot of information but from what I know, the web app doesn't need SSR to be PWA. I am not sure how this would work with JavaScript browser games made with frameworks like Phaser or melon.js. Also, I host my website on GoDaddy and I've heard that it's quite hard to set up SSR with cPanel.
So my questions are:
Should I use SSR for Progressive Web Application built with Nuxt, filled with javascript browser games that are lazily loaded, or does that not make sense? If it makes sense, would SSR work with godaddy hosting and cPanel?
Any help would be appreciated!
Hello,
I’ve been using a Reseller account to host my client's websites for many years ago.
I noticed in the last few years low performance and weakness in technical support services, so I intended to move to another provider just like "HostGator," the problem is I'm using currently Plesk "Direct Admin" but the intended new reseller using "cPanel," the question is could I move my reseller without interrupting my clients? "No change from client-side will be performed ex (FTP accounts, control panel credentials, MySQL databases, users, DNS configuration, webmail boxes, and messages)."
I would love your insights on where I should go. (Experienced)
Note: I called the HostGator support, and they will make a migration manually; they also assure me that it wouldn't be any interruption, but I'm also not sure.
- Flexible and plays nicely with any frontend3
- Easy for Content Managers to understand and use3
- Open Source3
- Fast & lightweight2
- Modular2
- GraphQL2
- Self hosted2
related Cockpit posts
- Free1
- Not free1
- Reliable1
- Easy to use1
related Plesk posts
Hello,
I’ve been using a Reseller account to host my client's websites for many years ago.
I noticed in the last few years low performance and weakness in technical support services, so I intended to move to another provider just like "HostGator," the problem is I'm using currently Plesk "Direct Admin" but the intended new reseller using "cPanel," the question is could I move my reseller without interrupting my clients? "No change from client-side will be performed ex (FTP accounts, control panel credentials, MySQL databases, users, DNS configuration, webmail boxes, and messages)."
I would love your insights on where I should go. (Experienced)
Note: I called the HostGator support, and they will make a migration manually; they also assure me that it wouldn't be any interruption, but I'm also not sure.
related DirectAdmin posts
Ansible
- Agentless284
- Great configuration210
- Simple199
- Powerful176
- Easy to learn155
- Flexible69
- Doesn't get in the way of getting s--- done55
- Makes sense35
- Super efficient and flexible30
- Powerful27
- Dynamic Inventory11
- Backed by Red Hat9
- Works with AWS7
- Cloud Oriented6
- Easy to maintain6
- Vagrant provisioner4
- Simple and powerful4
- Multi language4
- Simple4
- Because SSH4
- Procedural or declarative, or both4
- Easy4
- Consistency3
- Well-documented2
- Masterless2
- Debugging is simple2
- Merge hash to get final configuration similar to hiera2
- Fast as hell2
- Manage any OS1
- Work on windows, but difficult to manage1
- Certified Content1
- Dangerous8
- Hard to install5
- Doesn't Run on Windows3
- Bloated3
- Backward compatibility3
- No immutable infrastructure2
related Ansible posts
Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).
It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up
or vagrant reload
we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.
I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up
, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.
We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.
If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.
The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).
Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.
Heroku was a decent choice to start a business, but at some point our platform was too big, too complex & too heterogenic, so Heroku started to be a constraint, not a benefit. First, we've started containerizing our apps with Docker to eliminate "works in my machine" syndrome & uniformize the environment setup. The first orchestration was composed with Docker Compose , but at some point it made sense to move it to Kubernetes. Fortunately, we've made a very good technical decision when starting our work with containers - all the container configuration & provisions HAD (since the beginning) to be done in code (Infrastructure as Code) - we've used Terraform & Ansible for that (correspondingly). This general trend of containerisation was accompanied by another, parallel & equally big project: migrating environments from Heroku to AWS: using Amazon EC2 , Amazon EKS, Amazon S3 & Amazon RDS.
Terraform
- Infrastructure as code121
- Declarative syntax73
- Planning44
- Simple28
- Parallelism24
- Cloud agnostic8
- Well-documented8
- Immutable infrastructure6
- It's like coding your infrastructure in simple English6
- Platform agnostic5
- Extendable4
- Automation4
- Automates infrastructure deployments4
- Portability4
- Scales to hundreds of hosts2
- Lightweight2
- Doesn't have full support to GKE1
related Terraform posts





We recently moved our main applications from Heroku to Kubernetes . The 3 main driving factors behind the switch were scalability (database size limits), security (the inability to set up PostgreSQL instances in private networks), and costs (GCP is cheaper for raw computing resources).
We prefer using managed services, so we are using Google Kubernetes Engine with Google Cloud SQL for PostgreSQL for our PostgreSQL databases and Google Cloud Memorystore for Redis . For our CI/CD pipeline, we are using CircleCI and Google Cloud Build to deploy applications managed with Helm . The new infrastructure is managed with Terraform .
Read the blog post to go more in depth.
We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.
To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas
To build #Webapps we decided to use Angular 2 with RxJS
#Devops - GitHub , Travis CI , Terraform , Docker , Serverless