Docs: updated links from .io to .com (#23652)

* updated links

* edited contributors link

* deleted line about CDK in docs

docs/archive/changelog/README.md

@@ -438,7 +438,7 @@ New Destination: Keen
 * 🐛 Shopify source: Fixed the `products` schema to be in accordance with the API.
 * 🐛 S3 source: Fixed bug where syncs could hang indefinitely.
 
-And as always... we'd love to shout out the awesome contributors that have helped push Airbyte forward. As a reminder, you can now see your contributions publicly reflected on our [contributors page](https://airbyte.io/contributors).
+And as always... we'd love to shout out the awesome contributors that have helped push Airbyte forward. As a reminder, you can now see your contributions publicly reflected on our [contributors page](https://airbyte.com/contributors).
 
 Thank you to Rodrigo Parra, Brian Krausz, Max Krog, Apostol Tegko, Matej Hamas, Vladimir Remar, Marco Fontana, Nicholas Bull, @mildbyte, @subhaklp, and Maciej Nędza!
 

docs/archive/changelog/platform.md

@@ -331,7 +331,7 @@ This interim patch period mostly contained stability changes for Airbyte Cloud,
 * Normalization now supports union data types
 * Support longform text inputs in the UI for cases where you need to preserve formatting on connector inputs like .pem keys
 * Expose the latest available connector versions in the API
-* Airflow: published a new [tutorial](https://docs.airbyte.io/tutorials/using-the-airflow-airbyte-operator) for how to use the Airbyte operator. Thanks [@Marcos Marx](https://github.com/marcosmarxm) for writing the tutorial! 
+* Airflow: published a new [tutorial](https://docs.airbyte.com/tutorials/using-the-airflow-airbyte-operator) for how to use the Airbyte operator. Thanks [@Marcos Marx](https://github.com/marcosmarxm) for writing the tutorial! 
 * Connector Contributions: All connectors now describe how to contribute to them without having to touch Airbyte’s monorepo build system -- just work on the connector in your favorite dev setup!
 
 ## [03-08-2021 - 0.17](https://github.com/airbytehq/airbyte/releases/tag/v0.17.0-alpha)
@@ -422,7 +422,7 @@ This interim patch period mostly contained stability changes for Airbyte Cloud,
 
 ## [0.10.0](https://github.com/airbytehq/airbyte/milestone/12?closed=1) - delivered on 01/04/2021
 
-* You can now **deploy Airbyte on** [**Kuberbetes**](https://docs.airbyte.io/deploying-airbyte/on-kubernetes) _\*\*_\(alpha version\)
+* You can now **deploy Airbyte on** [**Kuberbetes**](https://docs.airbyte.com/deploying-airbyte/on-kubernetes) _\*\*_\(alpha version\)
 * **Support incremental sync** for Mixpanel and HubSpot sources
 * **Fixes on connectors:**
   * Fixed a bug in the GitHub connector where the connector didn’t verify the provided API token was granted the correct permissions

docs/archive/examples/build-a-slack-activity-dashboard.md

@@ -6,7 +6,7 @@ description: Using Airbyte and Apache Superset
 
 ![](../../.gitbook/assets/46.png)
 
-This article will show how to use [Airbyte](http://airbyte.io) - an open-source data integration platform - and [Apache Superset](https://superset.apache.org/) - an open-source data exploration platform - in order to build a Slack activity dashboard showing:
+This article will show how to use [Airbyte](http://airbyte.com) - an open-source data integration platform - and [Apache Superset](https://superset.apache.org/) - an open-source data exploration platform - in order to build a Slack activity dashboard showing:
 
 * Total number of members of a Slack workspace
 * The evolution of the number of Slack workspace members
@@ -26,7 +26,7 @@ Got it? Now let’s get started.
 
 ### a. Deploying Airbyte
 
-There are several easy ways to deploy Airbyte, as listed [here](https://docs.airbyte.io/). For this tutorial, I will just use the [Docker Compose method](https://docs.airbyte.io/deploying-airbyte/local-deployment) from my workstation:
+There are several easy ways to deploy Airbyte, as listed [here](https://docs.airbyte.com/). For this tutorial, I will just use the [Docker Compose method](https://docs.airbyte.com/deploying-airbyte/local-deployment) from my workstation:
 
 ```text
 # In your workstation terminal

docs/archive/examples/slack-history.md

@@ -53,7 +53,7 @@ Once you see an Airbyte banner, the UI is ready to go at [http://localhost:8000/
 
 ### b. Set Up Airbyte’s Slack Source Connector
 
-In the Airbyte UI, select Slack from the dropdown. We provide step-by-step instructions for setting up the Slack source in Airbyte [here](https://docs.airbyte.io/integrations/sources/slack#setup-guide). These will walk you through how to complete the form on this page.
+In the Airbyte UI, select Slack from the dropdown. We provide step-by-step instructions for setting up the Slack source in Airbyte [here](https://docs.airbyte.com/integrations/sources/slack#setup-guide). These will walk you through how to complete the form on this page.
 
 ![](../../.gitbook/assets/slack-history-setup-wizard.png)
 

docs/archive/examples/zoom-activity-dashboard.md

@@ -4,7 +4,7 @@ description: Using Airbyte and Tableau
 
 # Visualizing the Time Spent by Your Team in Zoom Calls
 
-In this article, we will show you how you can understand how much your team leverages Zoom, or spends time in meetings, in a couple of minutes. We will be using [Airbyte](https://airbyte.io) \(an open-source data integration platform\) and [Tableau](https://www.tableau.com) \(a business intelligence and analytics software\) for this tutorial.
+In this article, we will show you how you can understand how much your team leverages Zoom, or spends time in meetings, in a couple of minutes. We will be using [Airbyte](https://airbyte.com) \(an open-source data integration platform\) and [Tableau](https://www.tableau.com) \(a business intelligence and analytics software\) for this tutorial.
 
 Here is what we will cover:
 
@@ -28,7 +28,7 @@ Let’s get started by replicating Zoom data using Airbyte.
 
 ### Launching Airbyte
 
-In order to replicate Zoom data, we will need to use [Airbyte’s Zoom connector](https://docs.airbyte.io/integrations/sources/zoom). To do this, you need to start off Airbyte’s web app by opening up your terminal and navigating to Airbyte and running:
+In order to replicate Zoom data, we will need to use [Airbyte’s Zoom connector](https://docs.airbyte.com/integrations/sources/zoom). To do this, you need to start off Airbyte’s web app by opening up your terminal and navigating to Airbyte and running:
 
 `docker-compose up`
 

docs/archive/faq/differences-with/fivetran-vs-airbyte.md

@@ -1,8 +1,8 @@
 # Fivetran vs Airbyte
 
-We wrote an article, “[Open-source vs. Commercial Software: How to Solve the Data Integration Problem](https://airbyte.io/articles/data-engineering-thoughts/open-source-vs-commercial-software-how-to-better-solve-data-integration/),” in which we describe the pros and cons of Fivetran’s commercial approach and Airbyte’s open-source approach. Don’t hesitate to check it out for more detailed arguments. As a summary, here are the differences:
+We wrote an article, “[Open-source vs. Commercial Software: How to Solve the Data Integration Problem](https://airbyte.com/articles/data-engineering-thoughts/open-source-vs-commercial-software-how-to-better-solve-data-integration/),” in which we describe the pros and cons of Fivetran’s commercial approach and Airbyte’s open-source approach. Don’t hesitate to check it out for more detailed arguments. As a summary, here are the differences:
 
-![](https://airbyte.io/wp-content/uploads/2021/01/Airbyte-vs-Fivetran.png)
+![](https://airbyte.com/wp-content/uploads/2021/01/Airbyte-vs-Fivetran.png)
 
 ## **Fivetran:**
 

docs/archive/faq/differences-with/meltano-vs-airbyte.md

@@ -1,18 +1,18 @@
 # Meltano vs Airbyte
 
-We wrote an article, “[The State of Open-Source Data Integration and ETL](https://airbyte.io/articles/data-engineering-thoughts/the-state-of-open-source-data-integration-and-etl/),” in which we list and compare all ETL-related open-source projects, including Meltano and Airbyte. Don’t hesitate to check it out for more detailed arguments. As a summary, here are the differences:
+We wrote an article, “[The State of Open-Source Data Integration and ETL](https://airbyte.com/articles/data-engineering-thoughts/the-state-of-open-source-data-integration-and-etl/),” in which we list and compare all ETL-related open-source projects, including Meltano and Airbyte. Don’t hesitate to check it out for more detailed arguments. As a summary, here are the differences:
 
 ## **Meltano:**
 
-* **Meltano is built on top of the Singer protocol, whereas Airbyte is built on top of the Airbyte protocol**. Having initially created Airbyte on top of Singer, we wrote about why we didn't move forward with it [here](https://airbyte.io/blog/why-you-should-not-build-your-data-pipeline-on-top-of-singer) and [here](https://airbyte.io/blog/airbyte-vs-singer-why-airbyte-is-not-built-on-top-of-singer). Summarized, the reasons were: Singer connectors didn't always adhere to the Singer protocol, had poor standardization and visibility in terms of quality, and community governance and support was abandoned by Stitch. By contrast, we aim to make Airbyte a product that ["just works"](https://airbyte.io/blog/our-truth-for-2021-airbyte-just-works) and always plan to maximize engagement within the Airbyte community. 
+* **Meltano is built on top of the Singer protocol, whereas Airbyte is built on top of the Airbyte protocol**. Having initially created Airbyte on top of Singer, we wrote about why we didn't move forward with it [here](https://airbyte.com/blog/why-you-should-not-build-your-data-pipeline-on-top-of-singer) and [here](https://airbyte.com/blog/airbyte-vs-singer-why-airbyte-is-not-built-on-top-of-singer). Summarized, the reasons were: Singer connectors didn't always adhere to the Singer protocol, had poor standardization and visibility in terms of quality, and community governance and support was abandoned by Stitch. By contrast, we aim to make Airbyte a product that ["just works"](https://airbyte.com/blog/our-truth-for-2021-airbyte-just-works) and always plan to maximize engagement within the Airbyte community. 
 * **CLI-first approach:** Meltano was primarily built with a command line interface in mind. In that sense, they seem to target engineers with a preference for that interface.
 * **Integration with Airflow for orchestration:** You can either use Meltano alone for orchestration or with Airflow; Meltano works both ways.  
 * All connectors must use Python.  
 * Meltano works with any of Singer's 200+ available connectors. However, in our experience, quality has been hit or miss. 
 
 ## **Airbyte:**
 
-In contrast, Airbyte is a company fully committed to the open-source project and has a [business model](https://handbook.airbyte.io/strategy/business-model) in mind around this project. Our [team](https://airbyte.io/about-us) are data integration experts that have built more than 1,000 integrations collectively at large scale. The team now counts 20 engineers working full-time on Airbyte.
+In contrast, Airbyte is a company fully committed to the open-source project and has a [business model](https://handbook.airbyte.io/strategy/business-model) in mind around this project. Our [team](https://airbyte.com/about-us) are data integration experts that have built more than 1,000 integrations collectively at large scale. The team now counts 20 engineers working full-time on Airbyte.
 
 * **Airbyte supports more than 100 connectors after only 1 year since its inception**, 20% of which were built by the community. Our ambition is to support **200+ connectors by the end of 2021.** 
 * Airbyte’s connectors are **usable out of the box through a UI and API,** with monitoring, scheduling and orchestration. Airbyte was built on the premise that a user, whatever their background, should be able to move data in 2 minutes. Data engineers might want to use raw data and their own transformation processes, or to use Airbyte’s API to include data integration in their workflows. On the other hand, analysts and data scientists might want to use normalized consolidated data in their database or data warehouses. Airbyte supports all these use cases.  

docs/archive/faq/differences-with/singer-vs-airbyte.md

@@ -2,10 +2,10 @@
 
 If you want to understand the difference between Airbyte and Singer, you might be interested in 2 articles we wrote:
 
-* “[Airbyte vs. Singer: Why Airbyte is not built on top of Singer](https://airbyte.io/articles/data-engineering-thoughts/airbyte-vs-singer-why-airbyte-is-not-built-on-top-of-singer/).”
-* “[The State of Open-Source Data Integration and ETL](https://airbyte.io/articles/data-engineering-thoughts/the-state-of-open-source-data-integration-and-etl/),” in which we list and compare all ETL-related open-source projects, including Singer and Airbyte. As a summary, here are the differences:
+* “[Airbyte vs. Singer: Why Airbyte is not built on top of Singer](https://airbyte.com/articles/data-engineering-thoughts/airbyte-vs-singer-why-airbyte-is-not-built-on-top-of-singer/).”
+* “[The State of Open-Source Data Integration and ETL](https://airbyte.com/articles/data-engineering-thoughts/the-state-of-open-source-data-integration-and-etl/),” in which we list and compare all ETL-related open-source projects, including Singer and Airbyte. As a summary, here are the differences:
 
-![](https://airbyte.io/wp-content/uploads/2020/10/Landscape-of-open-source-data-integration-platforms-4.png)
+![](https://airbyte.com/wp-content/uploads/2020/10/Landscape-of-open-source-data-integration-platforms-4.png)
 
 ## **Singer:**
 

docs/archive/faq/differences-with/stitchdata-vs-airbyte.md

@@ -1,8 +1,8 @@
 # StitchData vs Airbyte
 
-We wrote an article, “[Open-source vs. Commercial Software: How to Solve the Data Integration Problem](https://airbyte.io/articles/data-engineering-thoughts/open-source-vs-commercial-software-how-to-better-solve-data-integration/),” in which we describe the pros and cons of StitchData’s commercial approach and Airbyte’s open-source approach. Don’t hesitate to check it out for more detailed arguments. As a summary, here are the differences:
+We wrote an article, “[Open-source vs. Commercial Software: How to Solve the Data Integration Problem](https://airbyte.com/articles/data-engineering-thoughts/open-source-vs-commercial-software-how-to-better-solve-data-integration/),” in which we describe the pros and cons of StitchData’s commercial approach and Airbyte’s open-source approach. Don’t hesitate to check it out for more detailed arguments. As a summary, here are the differences:
 
-![](https://airbyte.io/wp-content/uploads/2020/10/Open-source-vs-commercial-approach-2048x1843.png)
+![](https://airbyte.com/wp-content/uploads/2020/10/Open-source-vs-commercial-approach-2048x1843.png)
 
 ## StitchData:
 

docs/cloud/core-concepts.md

@@ -158,7 +158,7 @@ Normalizing data may cause an increase in your destination's compute cost. This
 
 A workspace is a grouping of sources, destinations, connections, and other configurations. It lets you collaborate with team members and share resources across your team under a shared billing account. 
 
-When you [sign up](http://cloud.airbyte.io/signup) for Airbyte Cloud, we automatically create your first workspace where you are the only user with access. You can set up your sources and destinations to start syncing data and invite other users to join your workspace.
+When you [sign up](http://cloud.airbyte.com/signup) for Airbyte Cloud, we automatically create your first workspace where you are the only user with access. You can set up your sources and destinations to start syncing data and invite other users to join your workspace.
 
 ## Glossary of Terms
 

docs/cloud/getting-started-with-airbyte-cloud.md

@@ -6,7 +6,7 @@ This page guides you through setting up your Airbyte Cloud account, setting up a
 
 To use Airbyte Cloud:
 
-1. If you haven't already, [sign up for Airbyte Cloud](https://cloud.airbyte.io/signup?utm_campaign=22Q1_AirbyteCloudSignUpCampaign_Trial&utm_source=Docs&utm_content=SetupGuide) using your email address, Google login, or GitHub login.
+1. If you haven't already, [sign up for Airbyte Cloud](https://cloud.airbyte.com/signup?utm_campaign=22Q1_AirbyteCloudSignUpCampaign_Trial&utm_source=Docs&utm_content=SetupGuide) using your email address, Google login, or GitHub login.
 
    Airbyte Cloud offers a 14-day free trial. For more information, see [Pricing](https://airbyte.com/pricing).
 

docs/cloud/managing-airbyte-cloud.md

@@ -14,7 +14,7 @@ Airbyte [credits](https://airbyte.com/pricing) are assigned per workspace and ca
 
 To add a user to your workspace:
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Settings**.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Settings**.
 
 2. Click **Access Management**.
 
@@ -32,7 +32,7 @@ To add a user to your workspace:
 
 To remove a user from your workspace:
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Settings**.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Settings**.
 
 2. Click **Access Management**.
 
@@ -44,7 +44,7 @@ To remove a user from your workspace:
 
 To rename a workspace:
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Settings**.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Settings**.
 
 2. Click **General Settings**.
 
@@ -56,7 +56,7 @@ To rename a workspace:
 
 To delete a workspace:
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Settings**.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Settings**.
 
 2. Click **General Settings**.
 
@@ -82,7 +82,7 @@ You can use one or multiple workspaces with Airbyte Cloud.
 
 To switch between workspaces:
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click the current workspace name under the Airbyte logo in the navigation bar.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click the current workspace name under the Airbyte logo in the navigation bar.
 
 2. Click **View all workspaces**.
 
@@ -108,7 +108,7 @@ While the data is processed in a data plane in the chosen residency, the cursor
 
 To choose your default data residency:
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Settings**.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Settings**.
 
 2. Click **Data Residency**.
 
@@ -126,7 +126,7 @@ Depending on your network configuration, you may need to add [IP addresses](http
 
 To set up Slack notifications:
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Settings**.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Settings**.
 
 2. Click **Notifications**.
 
@@ -156,7 +156,7 @@ Understanding the following limitations will help you better manage Airbyte Clou
 The sync summary displays information about the data moved during a sync.
 
 To view the sync summary:
-1. On the [Airbyte Cloud](http://cloud.airbyte.io/) dashboard, click **Connections**.   
+1. On the [Airbyte Cloud](http://cloud.airbyte.com/) dashboard, click **Connections**.   
 
 2. Click a connection in the list to view its sync history.
 
@@ -187,7 +187,7 @@ In a successful sync, the number of emitted records and committed records should
 
 ## Edit stream configuration
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Connections** and then click the connection you want to change.   
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Connections** and then click the connection you want to change.   
 
 2. Click the **Replication** tab.
 
@@ -352,7 +352,7 @@ To get notified when your source schema changes:
 Connection state provides additional information about incremental syncs. It includes the most recent values for the global or stream-level cursors, which can aid in debugging or determining which data will be included in the next syncs. 
 
 To display the connection state:
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Connections** and then click the connection you want to display.
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Connections** and then click the connection you want to display.
 
 2. Click the **Settings** tab on the Connection page.
 
@@ -365,7 +365,7 @@ You can choose the data residency for your connection in the connection settings
 
 To choose the data residency for your connection: 
 
-1. On the [Airbyte Cloud](http://cloud.airbyte.io) dashboard, click **Connections** and then click the connection that you want to change. 
+1. On the [Airbyte Cloud](http://cloud.airbyte.com) dashboard, click **Connections** and then click the connection that you want to change. 
 
 2. Click the **Settings** tab.