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Flashphoner In Google Hosting – To keep viewers happy, video broadcasts must have the lowest possible latency. Therefore, your job as a developer of any video-related product – be it a webinar system, online training or online auction – is to ensure low latency. When using a CDN, low latency is ensured by using WebRTC to transfer video streams from Origin to Edge, which in turn allows aggregation of a large number of viewers. But if you are constantly keeping a large number of servers waiting for a large stream of viewers, the money needed to rent servers will be wasted even if there are no streams. The best option is to turn on the extra Edge when viewing increases and turn it off when viewing decreases.

Previously, we blogged about WCS CDN deployments based on DigitalOcean and AWS. In this article, we will look at the possibility of implementing a CDN based on Google Cloud Platform.

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Flashphoner In Google Hosting

Google Cloud Platform is a collection of cloud services that run on the same infrastructure that Google uses for its products. In other words, it turns out that custom applications launched on Google Cloud Platform use the same server capacity as Google “The Great and Terrible” itself; therefore, by default, uninterrupted operation and service optimization for local networks around the world are guaranteed.

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Just like AWS, Google Cloud Platform infrastructure supports auto-scaling and load balancing, so you don’t have to worry about unnecessary costs for virtual servers – you only pay for what you use.

At the time of writing, there is no image of fast deployment of WCS on the GCP Marketplace yet. However, it is possible to deploy WCS automatically from a manually created virtual machine image. In this case, a standard monthly license is used for WCS.

Let’s now see how to deploy a WCS CDN with load balancer and auto-scaling and the system test process implemented.

Further down, in the “Protocols and Ports” section, specify the port for the WCS operation and click the “Create” button:

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This completes the global firewall configuration. Let’s now move on to deploying virtual machines, configuring load balancers, and auto-scaling.

In the Google Cloud Console, go to the Compute Engine section and select VM Instances from the menu on the left. Click the “Create” button in the dialog box to create a new server instance:

In the wizard that opens, specify the server name, select the area and zone where the data center is located, and configure the server. The choice of server configuration depends on the intended use of WCS, budget, region, and GCP data center location zone. In this article, we use the minimum technical requirements for virtual machines for testing:

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In the “Startup Disk” section of the page below, click the “Change” button and select the “CentOS 7” image:

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Specify the external and internal IP addresses of the server in the “Network” tab in the “Network Connections” section. For a server to function as part of a CDN, it must be assigned a static internal IP address:

After configuration, click the “Create” button to create a new instance of the WCS server with the Origin CDN role:

After a few minutes, the server will be created and running. Connect via ssh and install WCS. All operations – installation, configuration, starting or restarting WCS – must be performed with root privileges or via sudo.

2. Install the JDK. For heavy workloads, JDK 12 or 14 is recommended. It’s easier to install it with a bash script. Manuscript text:

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4. Extract the archive, run the WCS installation script and follow the installation wizard. A valid license is required to use WCS. For the command to work correctly, specify the build number of the archive you downloaded:

5. Activate the license by running the ./activation.sh script from the WCS installation directory. If you prefer, you can skip this step and activate the license later via the web interface:

6. Disable firewall and SELinux. Previously, we configured the firewall at the Google Cloud Platform level, so there was no need to close operating system ports:

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And configure it to run the CDN. In the cdn_ip parameter, specify the internal IP address of your virtual machine with the CDN Origin role:

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This completes the launch and installation of Origin. Let’s continue with configuring the load balancer and auto scaling.

Let’s start the configuration by deploying a WCS server with the Edge CDN role to create a template image to create a new WCS instance in the balancer.

Repeat the instructions from setting up the origin server to configuring the .properties file. For the Edge role, make the following settings in this file:

After creating and saving settings, stop the WCS CDN Edge virtual machine in the Google Cloud console, select “Image” from the menu on the left and click the “Create Image” button:

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In the wizard that opens, specify a new image name, select the WCS CDN Edge virtual machine disk as the source and click the Create button:

Once the image is created, proceed to create an Edge server deployment template based on the created image.

From the menu on the left side of the Google Cloud console window, select “Template Instance” and click the “Create Template Instance” button:

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In the “Startup Disk” section of the page below, click the “Change” button. In the next window, go to the “Edited Images” tab and select the WCS CDN Edge image that we created earlier. Click “Select”:

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Expand the “Management, Security, Disk, Network, and Exclusivity” section. In the “Security” tab, add the public key to access the server via SSH and click the “Generate” button:

A WCS deployment template with the CDN Edge role has been created. Now let’s move on to creating a scaling group.

Select “Instance Group” from the menu on the left side of the Google Cloud console window and click the “Create Instance Group” button:

On the page that appears, select a region and zone for the group location and configure the WCS Edge deployment template we created earlier:

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In the Auto-Scaling section of the same page, configure triggers to start more Edge servers. As a trigger, we use more than 80% processor load. In the Maximum number of instances field, specify the maximum number of virtual machines that will start when the trigger fires:

Then enable check virtual machine status in the “Automatic repair” section. To make server check settings, select the “Create Health Check” item from the list in the “Health Check” field:

In the new server health check wizard, specify the check name, TCP protocol, port 8081, and request/health check. Specify the verification conditions and click the “Save and continue” button:

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Expand the Advanced Build Options section and enable the “Do not attempt to rebuild machine” checkbox. After that click “Create”:

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The scale group is created and a single WCS running in the CDN Edge role is started. The final step in configuring a CDN with load balancer and auto-scaling is configuring the balancer.

First, we reserve external IP addresses for the balancer. In the Google Cloud Platform main menu, under “VPC network”, select “External IP address” and click the “Reserve static address” button:

On the next page, enter a name for the reserved IP address in the “Name” field. Select the online service quality level for the address and delivery type. After you have made all the settings, click the “Order” button:

In the Network section of the Google Cloud Platform main menu, under Network services, select Load balancing:

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On the page that opens, specify the external balancer “From the Internet to my virtual machine” and the region where the balance server is located. After selecting the settings, click the “Continue” button:

On the next page, set the balancer name, then go to the “Background Configuration” setting and specify in which region the servers included in the balancer will be created. On the “Select Existing Instance Groups” tab, select the Edge Server Scale Group that we created earlier. Then, in the “Health check” field, select the “Create health check” item from the drop-down list:

Specify the parameters for checking the status of the balancer – port 8081 and requests / on the page that opens, then click the “Save and continue” button:

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After that, go to the settings in the “Fronend configuration” section. In this section you need to create a port binding to an external IP address. Assign external IP addresses to the balancers we ordered above and make configurations for TCP ports 8081, 8080, 8443, 8444 for HTTP(S) and WS(S). Once you have created the required port, click the “Create” button:

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Balancing starts. This completes the CDN deployment with balancing and scaling. Let’s continue with testing.

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