docker wiki

Try now

How it works

Upload & Edit
Your PDF Document
Save, Download,
Print, and Share
Sign & Make
It Legally Binding
Video instructions and help with filling out and completing docker wiki
Instructions and Help about docker wiki

Hey guys happy wednesday hope everybody's doing well out there today uh today i want to take a look at a software that's um i've been kind of going back and forth on a little bit because um i really really like how it looks uh it claims to be the most powerful and extensible open source wiki software available but in the docker realm there's some stuff that's still kind of limited and still being developed and added so while it's kind of limited now i wanted to kind of get in early to show you what it looks like so you can kind of you follow along as it grows and develops that sort of thing so what we're going to take a look at today is something called wiki.js so if we take a look at their website here we can see kind of a general idea of what it looks like from the back end here of course you can install it anywhere they've got all kinds of options for docker and heroku and kubernetes and mac and windows so lots of different ways to install this of course we're going to take a look at docker more specifically the linux server version of this that they've created um so we can actually just kind of jump into this i will have this wiki js linked in the description down below uh of course everything on here will be linked in the description down below as well uh so if we jump over here we can see that this is what uh our our docker compose is going to look like for our stack and then of course we copy this and we jump over here to portainer and go to stacks of course we want to add a new stack and just paste that in there and then we'll give it a name like so so this is all pretty standard stuff as far as uh the the stack is concerned our our image is coming from linux server our container name is wiki our puid and pg id uh this one's a little different than normal uh normally we would jump in and grab our id via ssh this time i'm going to leave it as it currently is this is my puid and pg id for this system but i want to show you how this fails and kind of how to get around it at first uh so below that of course we've got our time zone uh you'll want to make that your time zone wherever you happen to be uh below that we've got some volumes one for config and one for data config of course that's where all your configuration files are gonna go and then your data folder that's where as you're uploading pictures and and assets to your wiki those will be stored somewhere else and so definitely make sure you've got storage space.

FAQ

What are the best free resources to learn Docker?
Docker's rising popularity has left its name buzzing around the tech world for the last couple of years. So our team at Scalable Path s decided to create an easy and accessible resource for people looking to get started with Docker on windows. Before you get started it important to understand the basics. In order to fullyprehend what Docker is and how it functions you also need to understand containers. So let's start with that. What are containers? Containers perform operating system level virtualization (also known as containerization). Containers are an abstraction at the application layer that packages code and dependencies together. Multiple containers can run on the same machine and operating system sharing the kernel with other containers each running as isolated processes in the user space. In simpler terms containers are a way to help developers deploy applications quickly and reliably from differentputing environments. I.e. from a personalputer to the code testing environment. Containers are bing increasingly more popular due to these benefits Containers are faster and lighter to ship as they house the minimum requirements to run your application. Containers can be versioned shared and archived. Build configurations are managed with declarative code. Containers can be built and extended on top of pre-existing containers. Containers are instantly started as they carry a much smaller blueprint than Virtual Machines. What is Docker? With the rise of the container trend came Docker. In 213 Docker creator Solomon Hykes released the first version of the tool. Since then Docker has grown enormously in popularity because it is such a simple and intuitive tool. Docker has surpassed all other containerization tools by a landslide. Docker enables you to spend less time on configuration and more time on building software. It allows you to build up independent containers that will interact with each other seamlessly with accuracy and speed. It is a fast and consistent way to accelerate and automate the shipping of software. And it saves developers from having to set up and configure multiple development environments each time they test or deploy. Simply put Docker makes it easier to create deploy and run applications using containers. It is bing increasingly more popular because it allows independence between applications environments infrastructure and developers. How can you get started? You can use Scalable Path resource for free. It is a step-by-step ge through the process of setting up a container environment. We demo all of this in a Windows environment using an Official Microsoft Site Core application and a Redis container. Don worry though many of the concepts we go through in this article apply equally to non-Windows developers such as must-know Dockermands running your first containerposing containers and Orchestration tools. The examples serve to illustrate concepts that are valid across platforms. You can find the ge here s . I hope my answer was helpful and good luck with getting started with Docker!
What's the most important lesson you've learned as a software engineer?
Delivering projects is not equivalent to producing value. A lot of people seem to think that being a better engineer is equivalent to delivering projects faster. While delivering projects is certainly a large part of a software engineer job and delivering projects faster (with all else held constant) does increase the value that an engineer is producing this pattern of thought has many caveats The project itself may be valueless. It may be tempting to think that proving the value of a project is up to the product manager or the engineering manager overseeing it and that this isn your responsibility but as an engineer you can clarify a lot of uncertainties by doing some back-of-the-envelope calculations for a system youre building (to see if it will work) or by building a scrappy proto of a new feature (to see if people find it helpful). If it turns out that the project youre working on is simply not useful possible it much better to find this out after a week than after three months (and you should make sure youe to a definitive conclusion on this sooner rather than later). Code quality matters. This should be obviousif in the interest of speed you produce an unmaintainable module or an unreliable system it will slow down the team substantially until someone goes in and fixes (or replaces) the hot garbage that you wrote. There could be other high-value activities that you could be doing. What makes an activity worth doing is not that it adds value but that it adds more value than whatever else you could be doing. italic If youre working on a project then it had better be more worth your time (often it will be but it probably isn always) than all of the following things Building tools to automate manual processes to make you (and the rest of your team) more productive 1 Rethinking team processes that may not be working anymore 1 Mentoring new team members 1 Interviewing or closing promising candidates 1 A lot of this thinking was derived from The Effective Engineer (I am not being paid to say this nor am I affiliated in any way with the book). Although (in my personal opinion) the website seems a little clickbait-y the book really opened my eyes up to the multidimensionality of the role of a software engineer.
What's the difference between Docker Cloud and Docker Hub?
Docker really took containers mainstream. As part of their offerings they have Docker Hub a place that holds repositories for applications using Docker with operating systems databases and programming frameworks like Node and Java. They also have repositories for popular services like WordPress and Tomcat. Plus you can create private repositories on the hub. Docker Cloud is a hosted registry service for managing your host infrastructure and Dockerized application s along with services and stacks. They have added swarm management which is now in beta for Docker Swarms. Containers continue to expand and be more integral in infrastructure. You can read more details on Docker at the Container Technology Wiki s if you are interested.
What are the best resources and the ways to learn Docker and Kubernetes?
There are a lot of articles videos and training sites online but it should be noted that not all would provide you with aprehensive view of the subject. I suggest looking at each online training course and making sure that the course road map sufficiently covers the crucial and inevitable areas of the subject. One good example of such training course would be A Complete Ge to Kubernetes & Docker - Hands On s . Here you should be able to Be able to understand administer and deploy Kubernetes. Get started with containerization and run containers on Kubernetes. Make applications running on Kubernetes using load balancing. Here are other details of the course. Hope this helps! Course Description This Kubernetes Dockerplete course will help you understand how to run deploy and maintain your applications on Kubernetes. If you are into DevOps this is a technology you need to learn. Kubernetes has gained a lot of popularity lately and it is a well-aimed skill bypanies. The course will show you how to build apps in containers using docker and how to deploy it in Kubernetes cluster. On the other hand we will ex how to set up your Kubernetes cluster on your desktop or on the cloud using AWS. What am I going to get from this course? Be able to understand administer and deploy Kubernetes Get started with containerization and run containers on Kubernetes Make applications running on Kubernetes using load balancing Be able to run stateless and stateful applications on Kubernetes Be able to deploy MySQL Wordpress Kubernetes Prerequisites and Target Audience What will students need to know or do before starting this course? Basic understanding ofputer science concepts Basic understanding of docker and containers Befortable at the Linux MacOS or Windowsmand-line (we'll ge you through but just a bit of familiarity is needed) Basic understanding of Cloud Computing will help you but it is not necessary Who should take this course? Who should not? Anyone who is interested in developing applications for production Engineers admins and DevOps personnel that run deploy & maintain applications Project functional managers & architects who need to understand application deployment Source A Complete Ge to Kubernetes & Docker - Hands On s
What are the new features in Fedora 24?
Fedora has always a Wiki page for this sort of stuff. Here are changes for Fedora 24 Releases - FedoraProject s#OpenShift_Origin . I will choose a few that make a difference for me Graphical System Upgrades s - now non-technical people can upgrade their Fedora. OpenShift Origin s - the new OpenShift v3 packaged in official Fedora repositories. sen terminal user interface for docker engine s - nice little program from my friend on managing Docker containers. Also most noticeable on Desktop is of course Gnome 3.2 that brings a lot of features on its own s .
Does Jenkins use Docker to run builds?
It can if you use Docker as agents. Docker Plugin - Jenkins - Jenkins Wiki s+Plugin Using Docker with Pipeline s
What are the best application areas for Go?
Microservices it is extremely simple to build one in Go thanks for package like gorilla Parsing json data in Go is almost effortless as well as converting your struct to JSON. Data parsing and processing as Go is much faster for CPU intensive task. Easy to use Goroutines for concurrency helps. Building something that you want to dockerized. Once build go binaries are relatively small. When you build by using static ing it eliminates dependencies to other lib in your OS. Making it suitable to be dockerized with the Scratch . Building services in general. The Go channel are extremely useful for handling concurrent request. The net package in Go are rich and easy to use there is an ldap implementation of Go with few hundreds lines of code. See I agree with other answers that mentioned Go is much closer to C with the benefit of a gradual learning curve inparison to C.