Wayback Machine
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COLLECTED BY
Organization: Archive Team
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: ArchiveBot: The Archive Team Crowdsourced Crawler
ArchiveBot is an IRC bot designed to automate the archival of smaller websites (e.g. up to a few hundred thousand URLs). You give it a URL to start at, and it grabs all content under that URL, records it in a WARC, and then uploads that WARC to ArchiveTeam servers for eventual injection into the Internet Archive (or other archive sites).

To use ArchiveBot, drop by #archivebot on EFNet. To interact with ArchiveBot, you issue commands by typing it into the channel. Note you will need channel operator permissions in order to issue archiving jobs. The dashboard shows the sites being downloaded currently.

There is a dashboard running for the archivebot process at http://www.archivebot.com.

ArchiveBot's source code can be found at https://github.com/ArchiveTeam/ArchiveBot.

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Edit

Working with Kubernetes in VS Code

This document will walk you through the process of deploying an application to Kubernetes with Visual Studio Code. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. We will show you how to create a Kubernetes cluster, write a Kubernetes manifest file (usually written in YAML), which tells Kubernetes everything it needs to know about the application, and then finally deploy the application to the Kubernetes cluster.

Before you begin

You will need to have tools for Docker and kubectl. See the Install Docker documentation for details on setting up Docker on your machine and Install kubectl. Before proceeding further, verify you can run Docker and kubectl commands from the shell.

You can create a local Kubernetes cluster with minikube or an Azure Kubernetes cluster in Azure Kubernetes Service (AKS). In this tutorial, we will use Azure Kubernetes Service (AKS) and you will need to have your Azure account ready for the deployment steps.

In addition, if you want to iteratively run and debug containers directly in MiniKube, Azure Kubernetes Service (AKS), or another Kubernetes provider, you can install the Bridge to Kubernetes extension. To get started, see Use Bridge to Kubernetes.

Install the Kubernetes extension

For a fully integrated Kubernetes experience, you can install the Kubernetes Tools extension, which lets you quickly develop Kubernetes manifests and HELM charts. With the extension, you can also deploy containerized micro-service based applications to local or Azure Kubernetes clusters and debug your live applications running in containers on Kubernetes clusters. It also makes it easy to browse and manage your Kubernetes clusters in VS Code and provides seamless integration with Draft to streamline Kubernetes development.

To install the Kubernetes extension, open the Extensions view (⇧⌘X (Windows, Linux Ctrl+Shift+X)) and search for "kubernetes". Select the Microsoft Kubernetes extension.

Install Kubernetes

Containerize and publish the application

You can follow the Working with Docker tutorial to build your project, generate a Docker image, and push it to a public or private container registry through the Microsoft Docker Extension.

Create and config a Kubernetes cluster

You can create a Kubernetes cluster running on Azure using the Kubernetes extension in VS Code. Once you have installed the Kubernetes extension, you will see KUBERNETES in the Explorer. Click on More and choose Create Cluster. Follow the instructions to choose the cluster type (here we choose Azure Kubernetes Service), select your subscription, and set up the Azure cluster and Azure agent settings. It will take a few minutes to complete the whole workflow.

Create Kubernetes

Important: To create a Kubernetes cluster on Azure, you need to install the Azure CLI and sign in.

Tip: You will encounter an error if you don't have an available RSA key file. Follow create SSH public-private key to create your key before creating an Azure Kubernetes cluster.

Error with RSA

Tip: You might encounter an error indicating conflicting location and VM size when creating an Azure Kubernetes cluster. Pay attention to choose proper location and VM size.

Error creating cluster

Deploy the application to Azure Kubernetes Service

The Kubernetes extension provides autocompletion, code snippets, and verification for the Kubernetes manifest file. For example, once you type 'Deployment' in an empty YAML file, a manifest file with fundamental structure is autogenerated for you. You only need to enter your app name, image, and port manually.

Create manifest

Below is an example manifest file:

Manifest example

Once your manifest file is ready, you only need one command to start a deployment. Open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) and run Kubernetes: Create. It will deploy the application to your Kubernetes cluster and create objects according to the configuration in the open Kubernetes manifest file.

Start deployment

Checking on your deployment

After deployment, the Kubernetes extension can help you check the status of your application. From the Explorer, click on Workloads, right click on Pods and then choose Get to see whether the application has started. To view the status of your app, select Services, right click on your app, and then click Get. The status will be printed to the Integrated Terminal. Once your application has an EXTERNAL_IP, you can open a browser and see your web app running.

Check status

Congratulations! Now your app is successfully running in Azure Kubernetes Service!

Next steps

  • Overview of Bridge to Kubernetes - Learn more about Bridge to Kubernetes, a rapid, iterative Kubernetes development experience for teams.
  • Azure Extensions - The VS Code Marketplace has hundreds of extensions for Azure and the cloud.
  • Deploying to Azure - Learn step-by-step how to deploy your application to Azure.
5/4/2022

In this article there are 6 sectionsIn this article

  • Before you begin
  • Install the Kubernetes extension
  • Containerize and publish the application
  • Create and config a Kubernetes cluster
  • Deploy the application to Azure Kubernetes Service
  • Next steps
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