Integrate Datadog with kanban Tool

Appy Pie Connect allows you to automate multiple workflows between Datadog and kanban Tool

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About Datadog

Datadog is a service for IT, Operations and Development teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

About kanban Tool

Kanban is a visual tool that provides a clear picture of the current work state and facilitates cooperation and communication among team members.

kanban Tool Integrations

Best Datadog and kanban Tool Integrations

  • Datadog Integration Datadog Integration

    kanban Tool + Datadog

    New Metric Post in Datadog when New board is created in kanban Tool Read More...
    Close
    When this happens...
    Datadog Integration New board
     
    Then do this...
    Datadog Integration New Metric Post
  • Datadog Integration Datadog Integration

    kanban Tool + Datadog

    New Metric Post in Datadog when New workflow stage is created in kanban Tool Read More...
    Close
    When this happens...
    Datadog Integration New workflow stage
     
    Then do this...
    Datadog Integration New Metric Post
  • Datadog Integration Datadog Integration

    kanban Tool + Datadog

    New Metric Post in Datadog when New task is created in kanban Tool Read More...
    Close
    When this happens...
    Datadog Integration New task
     
    Then do this...
    Datadog Integration New Metric Post
  • Datadog Integration Datadog Integration

    kanban Tool + Datadog

    New Metric Post in Datadog when New card type is created in kanban Tool Read More...
    Close
    When this happens...
    Datadog Integration New card type
     
    Then do this...
    Datadog Integration New Metric Post
  • Datadog Integration Datadog Integration

    kanban Tool + Datadog

    New Metric Post in Datadog when New swimlane is created in kanban Tool Read More...
    Close
    When this happens...
    Datadog Integration New swimlane
     
    Then do this...
    Datadog Integration New Metric Post
  • Datadog Integration {{item.actionAppName}} Integration

    Datadog + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Datadog + kanban Tool in easier way

It's easy to connect Datadog + kanban Tool without coding knowledge. Start creating your own business flow.

    Triggers
  • New activity on a board

    Triggers when a new activity on a board is made.

  • New board

    Triggers when a new board is created.

  • New card type

    Triggers when a new card type is defined for a board.

  • New checklist item

    Triggers when a new checklist item is added to a task.

  • New comment

    Triggers when a new comment is added to a task.

  • New swimlane

    Triggers when a new swimlane is created for a board.

  • New task

    Triggers when a new task is added.

  • New workflow stage

    Triggers when a new workflow stage is created for a board.

  • Task archived

    Triggers when a task is archived.

  • Task moved

    Triggers when a task is moved to another workflow stage or swimlane.

  • Task updated

    Triggers when a task is updated.

    Actions
  • New Metric Post

    This covers the data that you want to send to Datadog

  • Archive task

    Archives a specific task.

  • Complete checklist item

    Completes an existing checklist item on a task.

  • Create checklist item

    Creates a new checklist item on a task.

  • Create comment

    Writes a new comment on a specific task.

  • Create task

    Creates a new task on a specific board.

  • Delete checklist item

    Deletes a checklist item from a task.

  • Delete task

    Deletes a specific task.

  • Move task

    Moves a specific task between workflow stages and swimlanes.

  • Update task

    Updates a task's name, description, due date or other details.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Datadog & kanban Tool Integrations Work

  1. Step 1: Choose Datadog as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick kanban Tool as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Datadog to kanban Tool.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Datadog and kanban Tool

Datadog

Datadog is a cloud-based performance monitoring and analytics application. It allows organizations to manage and monitor all their applications and services (web, mobile, and IoT.

Kanban Top

Kanban Top is a cplaboration top for teams to visualize and manage their work.

Integration of Datadog and kanban Top

Kanban Top provides integration with all major service management tops such as Jira, Zendesk, Bitbucket, Slack, Hipchat, and Pivotal Tracker.

Kanban Top provides integration with almost all major data sources such as Google BigQuery, Redshift, MongoDB, DynamoDB, AWS RDS, MySQL, PostgreSQL, and more than 20 other data sources. It also provides an API for custom integrations.

Benefits of Integration of Datadog and Kanban Top

  • Tracking of code commits on Bitbucket or GitHub. Using the Integration of Kanban top with Bitbucket or GitHub we can view the number of commits being made by an individual in a team. We can also see the number of commits in a given period in a team. We can also view charts that show us how much time was spent by an individual in making commits across the board in a team. This data can be very useful in identifying slackers in a team who are not doing their share of work. 2. Tracking of error rates in production environment . We have already seen how the Datadog integration with kanban top helps us track the error rate in production environments. This information can be used to identify what kind of errors are being reported in production environments. This information can be helpful in identifying underlying problems that are causing frequent errors in production environments. 3. Tracking of number of deployments per day / week / month using Deployment History. The deployment history integration allows us to track the number of deployments that were done by an individual in a given period in kanban board. This data can be very useful in identifying individuals who are not deploying frequently enough. It can also be used to identify bottlenecks in your process which are causing delays in deploying code to production environments. 4. Tracking of number of requests handled by an individual per day / week / month using Request History. With this integration, we can view the number of requests that an individual has handled over a period in kanban board. This data can be very useful in identifying individuals who are not handling enough requests. It can also be used to identify bottlenecks in your process which are causing delays in handling requests. 5. Tracking of number of tickets closed per day / week / month using Ticket Close History. With this integration, we can view the number of tickets that were closed by an individual over a period in kanban board. This data can be very useful in identifying individuals who are not closing tickets fast enough . It can also be used to identify bottlenecks in your process which are causing delays in closing tickets 6. Tracking of lead time for tickets . Lead time refers to the length of time between when a ticket was created and when it was closed. This integration helps us identify bottlenecks in our process which are causing delays in closing tickets . If you find that lead times are increasing for your team, then it could mean that your team is getting swamped with too many tickets or that your process is slow and needs to be improved upon . 7. Tracking of Number of tickets assigned to individuals . This integration helps us identify bottlenecks in our process which are causing delays in assigning tickets to individuals . If you find that tickets are remaining unassigned for too long, then it could mean that your team is getting swamped with too many tickets or that your process is slow and needs to be improved upon . 8. Tracking of Number of tickets assigned to individuals per day , week , month . This integration helps us identify bottlenecks in our process which are causing delays in assigning tickets to individuals . If you find that tickets are remaining unassigned for too long, then it could mean that your team is getting swamped with too many tickets or that your process is slow and needs to be improved upon . 9. Tracking of number of hours worked per day , week , month . This integration helps us identify bottlenecks in our process which are causing delays in working hours . If you find that hours worked is going up at a faster pace than usual , then it could mean that your team is not getting enough work , or your process is slow and needs to be improved upon . 10. Tracking of number of tests run per day / week / month . This integration helps us identify bottlenecks in our process which are causing delays in running tests . If you find that the number of tests running decreased from one period to another period , then it could mean that your team is not testing frequently enough or that there is some sort of bottleneck in your process which is causing delays . 11. Tracking of number of tests passed per day , week , month . This integration helps us identify bottlenecks in our process which are causing delays in passing tests . If you find that the number of tests passed decreased from one period to another period , then it could mean that your team is not testing frequently enough or that there is some sort of bottleneck in your process which is causing delays . 12. Tracking of Number of tests failed per day , week , month . This integration helps us identify bottlenecks in our process which are causing delays in failing tests . If you find that the number of tests failed increased from one period to another period , then it could mean that your team is not testing frequently enough or that there is some sort of bottleneck in your process which is causing delays . 13. Tracking of status changes on tickets . This integration helps us identify bottlenecks in our process which are causing delays in changing statuses on tickets . If you find that statuses on tickets changed less frequently than usual , then it could mean that your team is not moving along fast enough or that there is some sort of bottleneck in your process which is causing delays . 14. Tracking of Ticket Workload . Workload refers to the amount and type(s. of work assigned to an individual within a specified period . Workload can refer to either the total workload – the sum total – or the amount – quantity –of each type(s. of work assigned to an individual during a specified period . This integration helps us identify bottlenecks in our process which are causing delays in assigning work/tickets to individuals . If you find that workloads decreased from one period to another period , then it could mean that your team is not working enough or that there is some sort of bottleneck in your process which is causing delays . 15. Tracking ticket assignment decisions (accepted/rejected/assigned/refunded). Using this integration we can track ticket assignment decisions made by individuals at different levels (team level/individual level. at different periods (day/week/month. Using this information we can figure out if people at different levels (team level/individual level. reject or accept majority (or minority. number of tickets assigned to them at different periods (day/week/month. We can use this data to figure out if people at different levels (team level/individual level. take too much time deciding whether they will accept or reject tickets assigned to them at different periods (day/week/month. 16. Tracing ticket work done by individuals . Using this integration we can trace ticket work done by individuals – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – Tracing ticket workflow . Using this integration we can trace ticket workflow from one state to another state over a given period . For example, if a ticket moved from “In Progress” state to “Confirmed” state after a couple days , we can use this data to figure out why a ticket took so long to move from “In Progress” state to “Confirmed” state . Tracing ticket progress . Using this integration we can trace ticket progress from one stage to another stage over a given period . For example, if a ticket moved from “In Progress” state to “Done” state after a couple days, we can use this data to find out why a ticket took so long to move from “In Progress” state to “Done” state Tracing ticket discrepancy . Using this integration we can trace ticket discrepancy from one state to another state over a given period . For example, if a ticket went back from “

The process to integrate Datadog and kanban Top may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.