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Update installation_docker.md Update installation_ibm_bluemix_kubernetes.md Update installation_aws.md Update installation_google_cloud_kubernetes.md Update installation_digitalocean.md Update installation_docker.md Update installation_digitalocean.md Update installation_aws.md Update installation_digitalocean.md Update installation_google_cloud_kubernetes.md Update installation_ibm_bluemix_kubernetes.md Addresses yacy#2 installation docs for cloud providers Update installation_ibm_bluemix_kubernetes.md Update installation_ibm_bluemix_kubernetes.md Update installation_google_cloud_kubernetes.md Update README.md final change
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## Installing Yacy on AWS with Docker | ||
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1. Sign in to [AWS](https://aws.amazon.com) | ||
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2. In the top-right corner, choose a area you want to set up the instance, e.g.: Asia Pacific (Singapore). | ||
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3. In the console panel, choose EC2. In EC2 Control Panel, choose key pairs, under Network & Security, and create a new key pair. It will automatically download the private key, and you should do ```chmod 400 YOUR_KEY_NAME``` to prevent other user to access your private key. After that, go back to your dashboard, and click Launch Instance. | ||
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4. In Step 1: Choose an Amazon Machine Image, we choose ```Ubuntu Server 14.04 LTS (HVM), SSD Volume Type```. | ||
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5. In Step 2: Choose an Instance Type, we choose ```t2.micro```(<strong>Warning:</strong> ```t2.micro``` is not suitable for running Yacy for a long period, and AWS may shut down your instance(block your Internet access on specific port) at any time. ```t2.micro``` instance users are only allow to use <strong>10%</strong> of a single CPU core on average. In our case, Yacy_server uses 30 - 40% on average. Reference: [Burstable Instance](http://aws.amazon.com/ec2/faqs/#burst) Case study: [Real case running Yacy](http://geekinguniverse.com/2016/01/14/dont-use-aws-for-your-web-application/)) | ||
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6. Then we click ```Configure Instance Details```, do not create a instance yet. | ||
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7. Under ```Auto-assign Public IP```, we choose ```Enable``` | ||
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8. Then we click ```Next: Add Storage``` | ||
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9. We modify the storage to ```30GiB``` instead of default ```8Gib``` | ||
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10. Click ```Next``` twice to go to ```Step 6: Configure Security Group```. Under this, we choose ```All TCP``` for type and ```Anywhere``` for source. | ||
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11. We are ready to launch, click ```Review and Launch```, if everything is correct, click ```Launch```. It will ask you to choose a key pair, choose the one we just created. | ||
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12. We go back to EC2 control panel again. Click on instances on the left hand side. Then choose the instance you just created, and click connect button on top. It will you connect to your EC2 by giving you a example like: | ||
``` | ||
ssh -i "yacy.pem" [email protected] | ||
``` | ||
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||
13. Once connected, we have to set up docker and add a 4G swapfile to prevent lack of memory: | ||
``` | ||
sudo apt-get update | ||
sudo apt-get -y upgrade | ||
sudo fallocate -l 4G /swapfile | ||
sudo chmod 600 /swapfile | ||
sudo mkswap /swapfile | ||
sudo swapon /swapfile | ||
sudo apt-get install linux-image-extra-`uname -r` | ||
sudo apt-key adv --keyserver hkp://pgp.mit.edu:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D | ||
echo "deb https://apt.dockerproject.org/repo ubuntu-trusty main" | sudo tee /etc/apt/sources.list.d/docker.list | ||
sudo apt-get update | ||
sudo apt-get install docker-engine | ||
``` | ||
Or, to install docker on newer versions of ubuntu (other distros are not tested) we can just do: | ||
``` | ||
sudo apt-get install docker.io | ||
``` | ||
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||
14. Once docker is installed, we start our Yacy-server by entering: | ||
``` | ||
sudo docker pull nikhilrayaprolu/yacy_grid_mcp | ||
sudo docker run -d -p 8100:8100 -p 443:443 nikhilrayaprolu/yacy_grid_mcp:latest | ||
``` | ||
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||
15. Check if Yacy is running on your server, by going to your public DNS, e.g.: ```ec2-54-169-103-75.ap-southeast-1.compute.amazonaws.com```. |
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## Installing Yacy on AWS with Docker | ||
|
||
1. Sign in to [AWS](https://aws.amazon.com) | ||
|
||
2. In the top-right corner, choose a area you want to set up the instance, e.g.: Asia Pacific (Singapore). | ||
|
||
3. In the console panel, choose EC2. In EC2 Control Panel, choose key pairs, under Network & Security, and create a new key pair. It will automatically download the private key, and you should do ```chmod 400 YOUR_KEY_NAME``` to prevent other user to access your private key. After that, go back to your dashboard, and click Launch Instance. | ||
|
||
4. In Step 1: Choose an Amazon Machine Image, we choose ```Ubuntu Server 14.04 LTS (HVM), SSD Volume Type```. | ||
|
||
5. In Step 2: Choose an Instance Type, we choose ```t2.micro```(<strong>Warning:</strong> ```t2.micro``` is not suitable for running Yacy for a long period, and AWS may shut down your instance(block your Internet access on specific port) at any time. ```t2.micro``` instance users are only allow to use <strong>10%</strong> of a single CPU core on average. In our case, Yacy_server uses 30 - 40% on average. Reference: [Burstable Instance](http://aws.amazon.com/ec2/faqs/#burst) Case study: [Real case running Yacy](http://geekinguniverse.com/2016/01/14/dont-use-aws-for-your-web-application/)) | ||
|
||
6. Then we click ```Configure Instance Details```, do not create a instance yet. | ||
|
||
7. Under ```Auto-assign Public IP```, we choose ```Enable``` | ||
|
||
8. Then we click ```Next: Add Storage``` | ||
|
||
9. We modify the storage to ```30GiB``` instead of default ```8Gib``` | ||
|
||
10. Click ```Next``` twice to go to ```Step 6: Configure Security Group```. Under this, we choose ```All TCP``` for type and ```Anywhere``` for source. | ||
|
||
11. We are ready to launch, click ```Review and Launch```, if everything is correct, click ```Launch```. It will ask you to choose a key pair, choose the one we just created. | ||
|
||
12. We go back to EC2 control panel again. Click on instances on the left hand side. Then choose the instance you just created, and click connect button on top. It will you connect to your EC2 by giving you a example like: | ||
``` | ||
ssh -i "yacy.pem" [email protected] | ||
``` | ||
|
||
13. Once connected, we have to set up docker and add a 4G swapfile to prevent lack of memory: | ||
``` | ||
sudo apt-get update | ||
sudo apt-get -y upgrade | ||
sudo fallocate -l 4G /swapfile | ||
sudo chmod 600 /swapfile | ||
sudo mkswap /swapfile | ||
sudo swapon /swapfile | ||
sudo apt-get install linux-image-extra-`uname -r` | ||
sudo apt-key adv --keyserver hkp://pgp.mit.edu:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D | ||
echo "deb https://apt.dockerproject.org/repo ubuntu-trusty main" | sudo tee /etc/apt/sources.list.d/docker.list | ||
sudo apt-get update | ||
sudo apt-get install docker-engine | ||
``` | ||
Or, to install docker on newer versions of ubuntu (other distros are not tested) we can just do: | ||
``` | ||
sudo apt-get install docker.io | ||
``` | ||
|
||
14. Once docker is installed, we start our Yacy-server by entering: | ||
``` | ||
sudo docker pull nikhilrayaprolu/yacy_grid_mcp | ||
sudo docker run -d -p 8100:8100 -p 443:443 nikhilrayaprolu/yacy_grid_mcp:latest | ||
``` | ||
|
||
15. Check if Yacy is running on your server, by going to your public DNS, e.g.: ```ec2-54-169-103-75.ap-southeast-1.compute.amazonaws.com```. |
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## Installing Yacy on DigitalOcean with Docker | ||
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[DigitalOcean](https://www.digitalocean.com) - simple cloud hosting, built for developers. | ||
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1. Register in [DigitalOcean](https://www.digitalocean.com) and get 10$ credit. | ||
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2. Click 'Create droplet' button, choose your droplet image (Docker), size, location and add your SSH keys. | ||
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![Droplet image](http://i.imgur.com/wXXvg7W.png) | ||
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![SSH keys](http://i.imgur.com/egW1HsV.png) | ||
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3. Click 'Create', wait a minute, copy ip of your new droplet and login to it using SSH: | ||
```bash | ||
ssh [email protected] | ||
``` | ||
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4. Docker is already installed, you can check it using ```docker version``` command. You should see something like this: | ||
``` | ||
root@sevazhidkov:~# docker version | ||
Client: | ||
Version: 1.9.1 | ||
API version: 1.21 | ||
Go version: go1.4.2 | ||
Git commit: a34a1d5 | ||
Built: Fri Nov 20 13:12:04 UTC 2015 | ||
OS/Arch: linux/amd64 | ||
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Server: | ||
Version: 1.9.1 | ||
API version: 1.21 | ||
Go version: go1.4.2 | ||
Git commit: a34a1d5 | ||
Built: Fri Nov 20 13:12:04 UTC 2015 | ||
OS/Arch: linux/amd64 | ||
``` | ||
5. Pull Docker image from [Yacy repository](https://hub.docker.com/r/nikhilrayaprolu/yacy_grid_mcp/) in Docker Hub (it should take about a minute): | ||
```bash | ||
docker pull nikhilrayaprolu/yacy_grid_mcp | ||
``` | ||
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6. OK, you're ready to run yacy: | ||
```bash | ||
docker run -d -p 8100:8100 -p 443:443 nikhilrayaprolu/yacy_grid_mcp:latest | ||
``` | ||
7. Go to your droplet IP using web browser. You should see yacy main page. |
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## Installing Yacy on DigitalOcean with Docker | ||
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||
[DigitalOcean](https://www.digitalocean.com) - simple cloud hosting, built for developers. | ||
|
||
1. Register in [DigitalOcean](https://www.digitalocean.com) and get 10$ credit. | ||
|
||
2. Click 'Create droplet' button, choose your droplet image (Docker), size, location and add your SSH keys. | ||
|
||
![Droplet image](http://i.imgur.com/wXXvg7W.png) | ||
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||
![SSH keys](http://i.imgur.com/egW1HsV.png) | ||
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3. Click 'Create', wait a minute, copy ip of your new droplet and login to it using SSH: | ||
```bash | ||
ssh [email protected] | ||
``` | ||
|
||
4. Docker is already installed, you can check it using ```docker version``` command. You should see something like this: | ||
``` | ||
root@sevazhidkov:~# docker version | ||
Client: | ||
Version: 1.9.1 | ||
API version: 1.21 | ||
Go version: go1.4.2 | ||
Git commit: a34a1d5 | ||
Built: Fri Nov 20 13:12:04 UTC 2015 | ||
OS/Arch: linux/amd64 | ||
|
||
Server: | ||
Version: 1.9.1 | ||
API version: 1.21 | ||
Go version: go1.4.2 | ||
Git commit: a34a1d5 | ||
Built: Fri Nov 20 13:12:04 UTC 2015 | ||
OS/Arch: linux/amd64 | ||
``` | ||
5. Pull Docker image from [Yacy repository](https://hub.docker.com/r/nikhilrayaprolu/yacy_grid_mcp/) in Docker Hub (it should take about a minute): | ||
```bash | ||
docker pull nikhilrayaprolu/yacy_grid_mcp | ||
``` | ||
|
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6. OK, you're ready to run yacy: | ||
```bash | ||
docker run -d -p 8100:8100 -p 443:443 nikhilrayaprolu/yacy_grid_mcp:latest | ||
``` | ||
7. Go to your droplet IP using web browser. You should see yacy main page. |
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# Installation of Yacy with Docker | ||
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Docker is a way to move applications including the operating system to servers. | ||
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## Get a Docker image | ||
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Each of the following sections depend on a docker image with a Yacy server inside. | ||
This section shows you how to get such an image. | ||
Some possibilities may be used in the sections but you can may be able to exchange them. | ||
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#### Pull a docker image | ||
Pull a docker image from [dockerhub](https://hub.docker.com/r/nikhilrayaprolu/yacy_grid_mcp/). | ||
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Type this command in your terminal: | ||
``` | ||
docker pull nikhilrayaprolu/yacy_grid_mcp | ||
``` | ||
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#### Build a docker image on your local machine | ||
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1. Type the following commands in terminal | ||
``` | ||
sudo apt-get update && sudo apt-get upgrade -y | ||
sudo apt-get install docker.io | ||
sudo docker build https://github.com/yacy/yacy_grid_mcp.git | ||
``` | ||
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2. You will get a hash from last command. Copy that hash and do... | ||
``` | ||
sudo docker tag <IMAGE_HASH> <NAME_FOR_IMAGE> | ||
``` | ||
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#### Automated build on Cloud using GitHub repository | ||
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1. Signup for [Docker](https://cloud.docker.com/) | ||
2. Go to Settings > Linked Accounts & Services. | ||
3. Add your GitHub account and select an access level “Public and Private”, or “Limited Access”. | ||
4. Go to your GitHub account. Settings > Applications. | ||
5. Allow access for Docker Hub Registry. | ||
6. Allow service hook for the repository in its settings > Webhooks & Services. | ||
7. Select a source repository to build image in Docker Hub. | ||
8. Enable rebuilding the Docker image when a commit is pushed to the GitHub repository. | ||
9. Congratulations, you have completed the setup of automated image build. |
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## Installing Yacy on Google Cloud with Docker | ||
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1. Go to [Google Cloud Free Trial](https://cloud.google.com/free-trial/) and sign up. You will get 300 dollars credit for 12 months. | ||
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2. Go to the console page: [Console](https://console.cloud.google.com/home) | ||
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3. If you don’t have any projects, a page that would guide you on how to start a project will pop up. Give your project a name. | ||
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4. In the search bar above on console page, enter 'Compute Engine' and click on ```Compute Engine```. | ||
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5. If you have not activated billing for compute engine, click enable billing and choose your account to activate your Compute Engine. Your Google Compute Engine should be activated within a few minutes. | ||
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6. Click ```Create instance``` to create an instance. In machine type, choose ```small(1 shared vCPU)```. | ||
Choose whatever zone you like. | ||
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In Boot Disk, choose ```Ubuntu 14.04```, and the disk size should be larger than 40GB. | ||
On the bottom of the page, click ```Management, disk, networking, access & security options``` to show more options. Inside of this, click into the tab ```Networking``` and choose ```New static IP``` instead of ```Ephemeral```. Enter a name for your IP. Google will assign a IP for you. | ||
Check the two boxes ```Allow HTTP traffic``` and ```Allow HTTPS traffic```. Finally, click ```Create``` to create an instance. Wait a few minutes for the creation to complete. | ||
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7. Once the creation has finished, click ssh below to establish web ssh connections. | ||
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8. In the Web Console, enter: | ||
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``` | ||
sudo apt-get update | ||
sudo apt-get upgrade | ||
sudo apt-get -y install docker.io | ||
sudo fallocate -l 4G /swapfile | ||
sudo chmod 600 /swapfile | ||
sudo mkswap /swapfile | ||
sudo swapon /swapfile | ||
sudo docker pull nikhilrayaprolu/yacy_grid_mcp | ||
``` | ||
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Once finished, you will get fully working image. You can check if it exists by entering ```sudo docker images```. | ||
Run our server by entering: | ||
``` | ||
sudo docker run -d -p 8100:8100 -p 443:443 nikhilrayaprolu/yacy_grid_mcp | ||
``` | ||
Enter your assigned HTTP IP address into your browser to check if it is working. |
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