How to load data from Jenkins to Convex

Learn how to use Airbyte to synchronize your Jenkins data into Convex within minutes.

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Set up a Jenkins connector in Airbyte

Connect to Jenkins or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Convex for your extracted Jenkins data

Select Convex where you want to import data from your Jenkins source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Jenkins to Convex in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Jenkins as a source connector (using Auth, or usually an API key)
  2. set up Convex as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Jenkins

Jenkins is an open-source automation server. It helps automate parts of software development that facilitate build, test, and deployment, continuous integration, and continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat. It supports version control tools including AccuRev, CVS, Subversion, Git, Mercurial, Perforce, Clear Case, and RTC, and can execute arbitrary shell scripts and Windows batch commands alongside Apache Ant, Apache Maven and etc.

What is Convex

Convex is a platform that provides a suite of tools for building and deploying machine learning models. It offers a user-friendly interface for data scientists and developers to create and train models, as well as a scalable infrastructure for deploying them in production. Convex also includes features such as automated model tuning, version control, and collaboration tools to streamline the machine learning workflow. The platform is designed to be flexible and customizable, allowing users to integrate their own libraries and frameworks. Overall, Convex aims to simplify the process of building and deploying machine learning models, making it accessible to a wider range of users.

Integrate Jenkins with Convex in minutes

Try for free now

Prerequisites

  1. A Jenkins account to transfer your customer data automatically from.
  2. A Convex account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Jenkins and Convex, for seamless data migration.

When using Airbyte to move data from Jenkins to Convex, it extracts data from Jenkins using the source connector, converts it into a format Convex can ingest using the provided schema, and then loads it into Convex via the destination connector. This allows businesses to leverage their Jenkins data for advanced analytics and insights within Convex, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Jenkins as a source connector

1. First, navigate to the Jenkins dashboard and click on "Manage Jenkins" on the left-hand side.
2. Next, click on "Manage Credentials" and then "Jenkins".
3. Click on "Global credentials (unrestricted)" and then "Add Credentials".
4. Select "Username with password" as the kind of credential and enter your Jenkins username and password.
5. Give the credential a meaningful ID and description, then click "OK" to save.
6. Now, go to Airbyte and click on "Sources" on the left-hand side.
7. Click on "Create a new source" and select "Jenkins" from the list of available sources.
8. Enter the necessary information, such as the Jenkins URL and the credential ID you just created.
9. Test the connection to ensure that the source is properly configured.
10. Once the connection is successful, you can start syncing data from your Jenkins instance to Airbyte.

Step 2: Set up Convex as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. From there, click on the "Add Destination" button in the top right corner of the screen.
4. In the search bar, type "Convex" and select the Convex destination connector from the list of options.
5. Next, you will need to enter your Convex API key. This can be found in your Convex account settings.
6. Once you have entered your API key, click on the "Test" button to ensure that the connection is working properly.
7. If the test is successful, click on the "Save" button to save your settings.
8. You can now use the Convex destination connector to transfer data from Airbyte to your Convex account.

Step 3: Set up a connection to sync your Jenkins data to Convex

Once you've successfully connected Jenkins as a data source and Convex as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Jenkins from the dropdown list of your configured sources.
  3. Select your destination: Choose Convex from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Jenkins objects you want to import data from towards Convex. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Jenkins to Convex according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Convex data warehouse is always up-to-date with your Jenkins data.

Use Cases to transfer your Jenkins data to Convex

Integrating data from Jenkins to Convex provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Convex’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Jenkins data, extracting insights that wouldn't be possible within Jenkins alone.
  2. Data Consolidation: If you're using multiple other sources along with Jenkins, syncing to Convex allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Jenkins has limits on historical data. Syncing data to Convex allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Convex provides robust data security features. Syncing Jenkins data to Convex ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Convex can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Jenkins data.
  6. Data Science and Machine Learning: By having Jenkins data in Convex, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Jenkins provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Convex, providing more advanced business intelligence options. If you have a Jenkins table that needs to be converted to a Convex table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Jenkins account as an Airbyte data source connector.
  2. Configure Convex as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Jenkins to Convex after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Sync with Airbyte

How to Sync Jenkins to Convex Manually

FAQs

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Jenkins is an open-source automation server. It helps automate parts of software development that facilitate build, test, and deployment, continuous integration, and continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat. It supports version control tools including AccuRev, CVS, Subversion, Git, Mercurial, Perforce, Clear Case, and RTC, and can execute arbitrary shell scripts and Windows batch commands alongside Apache Ant, Apache Maven and etc.

Jenkins is an open-source automation server that provides a wide range of APIs to access data related to the build process. The Jenkins API provides access to various types of data, including:  

1. Build Data: Information about the build process, such as build status, build duration, build logs, and build artifacts.  
2. Job Data: Information about the jobs, such as job status, job configuration, job parameters, and job history.  
3. Node Data: Information about the nodes, such as node status, node configuration, and node availability.  
4. User Data: Information about the users, such as user details, user permissions, and user activity.  
5. Plugin Data: Information about the plugins, such as plugin details, plugin configuration, and plugin compatibility.  
6. System Data: Information about the Jenkins system, such as system configuration, system logs, and system health.  
7. Queue Data: Information about the build queue, such as queued jobs, queue status, and queue history.  

Overall, the Jenkins API provides a comprehensive set of data that can be used to monitor, analyze, and optimize the build process.

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Jenkins to Convex as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Jenkins to Convex and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Engineering Analytics
Engineering Analytics

How to load data from Jenkins to Convex

Learn how to use Airbyte to synchronize your Jenkins data into Convex within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Jenkins as a source connector (using Auth, or usually an API key)
  2. set up Convex as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Jenkins

Jenkins is an open-source automation server. It helps automate parts of software development that facilitate build, test, and deployment, continuous integration, and continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat. It supports version control tools including AccuRev, CVS, Subversion, Git, Mercurial, Perforce, Clear Case, and RTC, and can execute arbitrary shell scripts and Windows batch commands alongside Apache Ant, Apache Maven and etc.

What is Convex

Convex is a platform that provides a suite of tools for building and deploying machine learning models. It offers a user-friendly interface for data scientists and developers to create and train models, as well as a scalable infrastructure for deploying them in production. Convex also includes features such as automated model tuning, version control, and collaboration tools to streamline the machine learning workflow. The platform is designed to be flexible and customizable, allowing users to integrate their own libraries and frameworks. Overall, Convex aims to simplify the process of building and deploying machine learning models, making it accessible to a wider range of users.

Integrate Jenkins with Convex in minutes

Try for free now

Prerequisites

  1. A Jenkins account to transfer your customer data automatically from.
  2. A Convex account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Jenkins and Convex, for seamless data migration.

When using Airbyte to move data from Jenkins to Convex, it extracts data from Jenkins using the source connector, converts it into a format Convex can ingest using the provided schema, and then loads it into Convex via the destination connector. This allows businesses to leverage their Jenkins data for advanced analytics and insights within Convex, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Jenkins as a source connector

1. First, navigate to the Jenkins dashboard and click on "Manage Jenkins" on the left-hand side.
2. Next, click on "Manage Credentials" and then "Jenkins".
3. Click on "Global credentials (unrestricted)" and then "Add Credentials".
4. Select "Username with password" as the kind of credential and enter your Jenkins username and password.
5. Give the credential a meaningful ID and description, then click "OK" to save.
6. Now, go to Airbyte and click on "Sources" on the left-hand side.
7. Click on "Create a new source" and select "Jenkins" from the list of available sources.
8. Enter the necessary information, such as the Jenkins URL and the credential ID you just created.
9. Test the connection to ensure that the source is properly configured.
10. Once the connection is successful, you can start syncing data from your Jenkins instance to Airbyte.

Step 2: Set up Convex as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. From there, click on the "Add Destination" button in the top right corner of the screen.
4. In the search bar, type "Convex" and select the Convex destination connector from the list of options.
5. Next, you will need to enter your Convex API key. This can be found in your Convex account settings.
6. Once you have entered your API key, click on the "Test" button to ensure that the connection is working properly.
7. If the test is successful, click on the "Save" button to save your settings.
8. You can now use the Convex destination connector to transfer data from Airbyte to your Convex account.

Step 3: Set up a connection to sync your Jenkins data to Convex

Once you've successfully connected Jenkins as a data source and Convex as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Jenkins from the dropdown list of your configured sources.
  3. Select your destination: Choose Convex from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Jenkins objects you want to import data from towards Convex. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Jenkins to Convex according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Convex data warehouse is always up-to-date with your Jenkins data.

Use Cases to transfer your Jenkins data to Convex

Integrating data from Jenkins to Convex provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Convex’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Jenkins data, extracting insights that wouldn't be possible within Jenkins alone.
  2. Data Consolidation: If you're using multiple other sources along with Jenkins, syncing to Convex allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Jenkins has limits on historical data. Syncing data to Convex allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Convex provides robust data security features. Syncing Jenkins data to Convex ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Convex can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Jenkins data.
  6. Data Science and Machine Learning: By having Jenkins data in Convex, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Jenkins provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Convex, providing more advanced business intelligence options. If you have a Jenkins table that needs to be converted to a Convex table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Jenkins account as an Airbyte data source connector.
  2. Configure Convex as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Jenkins to Convex after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Frequently Asked Questions

What data can you extract from Jenkins?

Jenkins is an open-source automation server that provides a wide range of APIs to access data related to the build process. The Jenkins API provides access to various types of data, including:  

1. Build Data: Information about the build process, such as build status, build duration, build logs, and build artifacts.  
2. Job Data: Information about the jobs, such as job status, job configuration, job parameters, and job history.  
3. Node Data: Information about the nodes, such as node status, node configuration, and node availability.  
4. User Data: Information about the users, such as user details, user permissions, and user activity.  
5. Plugin Data: Information about the plugins, such as plugin details, plugin configuration, and plugin compatibility.  
6. System Data: Information about the Jenkins system, such as system configuration, system logs, and system health.  
7. Queue Data: Information about the build queue, such as queued jobs, queue status, and queue history.  

Overall, the Jenkins API provides a comprehensive set of data that can be used to monitor, analyze, and optimize the build process.

What data can you transfer to Convex?

You can transfer a wide variety of data to Convex. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Jenkins to Convex?

The most prominent ETL tools to transfer data from Jenkins to Convex include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Jenkins and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Convex and other databases, data warehouses and data lakes, enhancing data management capabilities.

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used