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DuckyHelper in Datadog

DuckyHelper sees Datadog on your screen and, in early access, works in it with its own cursor to query metrics, investigate incidents, inspect dashboards, monitor your service health, and create incidents. It's built to ask before it sends or pays, and explains or draws on Datadog when you want to learn it.

Try asking
  • “Search the metrics and publish a workflow”
  • “Save a dashboard in Datadog”
  • “Show me how to create a workflow”

Press fn (Ctrl+Shift+Space on Windows and Linux) and ask out loud. Doing the work for you is early access on Mac.

Download for freeSee how it works
Metrics in DatadogDone in 7sExample
Search the metrics and publish a workflow
  1. Searched the metrics in Datadog
  2. Saved a rum metric
  3. Publish a workflow

It's ready in Datadog. Nothing goes out until you press Send.

Datadog
7s · 1 app
DatadogPublish a workflowNeeds your OK
ToDana Lee (example)

Drawn from Datadog's own actions · early access on Mac

WHAT TO ASK

Things you can ask it to do in Datadog

Each one is something Datadog itself lets you do, said the way you'd ask. Questions about your screen work today; having it do the job is early access on Mac.

Ask about it

Works today

It sees your screen, answers out loud and draws on it.

  • “Explain this metric to me”
  • “Where do I find the dashboards in Datadog?”
  • “Show me how to create a workflow”
  • “What does this button do?”
  • “Walk me through this screen”

Read and find

Early access

It opens Datadog and looks things up for you.

  • Search the metrics
  • Search the rum metrics
  • Search the dashboards
  • Search the incidents
  • List the workflows
  • Search the forms
  • Look up a metric
  • Look up the profiling services
Show all 198
  • Search the events
  • List the security findings automation rules
  • List the skills
  • Search the saved queries
  • Look up the database calling services
  • Search the rum events
  • Search the test events
  • Search the dora events
  • Look up a dashboard
  • Search the monitors
  • Search the notebooks
  • Search the pr insights
  • Search the cws agent events
  • Search the spreadsheets
  • Search the rum retention filters
  • Search the spans
  • Search the ci pipeline events
  • Find the database instances
  • List the workflow instances
  • List the llmobs experiments
  • Search the security signals
  • List the llmobs experiment events
  • List the reference table rows
  • Search the llmobs spans
  • List the llmobs datasets
  • List the llmobs projects
  • List the llmobs annotation queues
  • List the reference tables
  • Search the database plans
  • Look up the database health signals
  • Find the llmobs error spans
  • Search the entities
  • Look up an incident
  • Search the security findings
  • List the llmobs evals
  • Look up the profiling service insights
  • Search the ndm devices
  • Read the kafka messages
  • Search the slos
  • Search the error tracking issues
  • Search the k8s resources
  • Search the data entities
  • Search the hosts
  • Search the replays
  • Look up the llmobs experiment metric values
  • Search the workflow actions
  • Look up the security detection rules
  • List the llmobs pattern runs
  • Look up the security aap custom rules
  • Read a saved query
  • Search the ndm interfaces
  • Search the security ioc indicators
  • Look up the llmobs annotations
  • List the data observability recommendations
  • Search the database samples
  • Search the rum applications
  • List the synthetics locations
  • List the database optimizations
  • Look up the flaky tests
  • Look up the llmobs dataset records
  • Look up a workflow
  • Look up the synthetics tests
  • Look up the llmobs all dataset records
  • Look up the llmobs full dataset records
  • Look up the profiling tag values
  • Look up the reference table rows
  • Look up the security suppressions
  • Look up a rum summary
  • Look up a form
  • List the llmobs evals by ml app
  • Look up a replay summary
  • Check a workflow
  • Look up the workflow step data
  • Check the security signals
  • Look up the entity tags
  • Look up the spreadsheet tab data
  • Look up the database explain plans
  • Look up the spreadsheet table data
  • Look up the llmobs patterns
  • Check the data observability monitor annotations
  • Look up the database recommendations
  • Look up the llmobs experiment dimension values
  • Look up a code coverage pr summary
  • Look up a llmobs experiment summary
  • Look up the data entity details
  • Look up the entity descriptions
  • Look up the llmobs span details
  • Check the security findings
  • Look up a metric context
  • Look up the llmobs annotated interactions
  • Look up a code coverage branch summary
  • Look up a code coverage commit summary
  • Look up the network path test runs
  • Look up the change stories
  • Look up the form responses
  • Look up the activation options
  • List all kafka schemas
  • Look up a notebook
  • Look up the llmobs patterns with points
  • Look up the code coverage files
  • Look up the llmobs span content
  • Look up the profiling tag names
  • Look up the active feature flags
  • Look up the llmobs model pricing
  • Look up the profiling timeseries
  • Look up the llmobs pattern points
  • Look up a spreadsheet
  • Look up a rum insight
  • Look up the warehouse query history
  • Check a dashboard widget
  • Look up a security signal
  • Look up the database query performance
  • Look up the llmobs eval aggregate stats
  • Look up a workflow instance
  • List the kafka topic configs
  • Look up a llmobs experiment event
  • List the kafka broker configs
  • List the llmobs pattern configs
  • Check the error tracking errors
  • Look up a trace
  • Look up a llmobs project
  • Look up a spark sql plan
  • Look up a llmobs evaluator
  • Look up the security findings ticket suggestions
  • Look up a data observability monitor
  • Look up a ndm device
  • Look up a k8s resource
  • Look up a llmobs trace
  • Look up a spec
  • Look up an error tracking issue
  • Look up a security aap denylist
  • Look up the spark job health
  • Look up a security trace passlist
  • Look up a workflow action
  • List the audit events
  • Look up a monitor coverage
  • Look up a widget reference
  • Search the audit events
  • Look up a data entity lineage
  • Look up a k8s manifest
  • Look up the profiling profile types
  • Look up a spreadsheet reference
  • Look up a security ioc indicator
  • Search the rum operations
  • Look up the popular warehouse tables by query frequency
  • Look up a data observability recommendation
  • Look up a llmobs agent loop
  • Look up a prs by head branch
  • Look up a rum view waterfall
  • Check a threshold
  • Look up a data entity hierarchy
  • Check a k8s rollout
  • Search the logs
  • Look up a database query statement
  • Summarize a data entity lineage
  • Look up the database schemas
  • Look up a data observability monitor coverage
  • Check a monitor definition
  • Look up the subject kafka schemas
  • Look up the kafka client configs
  • Check a cloud network monitoring
  • List the autonomous system statuses
  • Search the network device configurations
  • Check a groups search
  • Look up the profiling field values
  • Look up the rum operation insights
  • Look up the global variables
  • Look up a data catalog schema
  • Look up a security ioc schema
  • Look up a workflow spec schema
  • Look up the dora fields
  • Look up a form definition schema
  • Look up a security signals schema
  • Look up a security findings schema
  • Check the logs
  • Look up a llmobs pattern config
  • Look up a rum operation summary
  • Look up the autonomous system status
  • Look up the profiling fields
  • Look up the llmobs pattern run status
  • Look up a llmobs annotation label schema
  • Look up a security detection rules schema
  • Look up a security aap blocking config
  • Look up the monitor templates
  • Look up the network device configuration
  • Look up a user config
  • Look up the test optimization settings
  • Look up the flaky tests management policies
  • Look up a profiling runtime ids
  • Look up the data observability monitor group statuses

Write and send

Early access

It's built to ask before anything is sent or paid.

  • Save a rum metric
  • Create a workflow
  • Save a dashboard
  • Create a form
  • Create a security detection rule
  • Create a security findings automation rule
  • Create a skill
  • Create a monitor
Show all 72
  • Create a notebook
  • Update a workflow
  • Create a llmobs experiment
  • Create a security suppression
  • Add llmobs dataset records
  • Create a llmobs dataset
  • Create a llmobs project
  • Create a llmobs annotation queue
  • Create a reference table
  • Update a form
  • Run a workflow
  • Create a published analysis
  • Create a link
  • Publish a workflow
  • Update a security detection rule
  • Create a monitor message
  • Copy a form
  • Publish a form
  • Create a security findings ticket
  • Update a security findings automation rule
  • Update a skill
  • Save a security aap custom rule
  • Run a query
  • Update a monitor
  • Save llmobs annotations
  • Update a rum retention filter
  • Save a saved query
  • Add llmobs annotation queue interactions
  • Update a llmobs experiment
  • Edit a notebook
  • Update a security suppression
  • Reorder the security findings automation rules
  • Save a spreadsheet
  • Update a llmobs annotation queue
  • Update a published analysis
  • Run the synthetics tests
  • Append a new rum retention filter
  • Reorder the rum retention filters
  • Edit the synthetics tests
  • Save reference table rows
  • Update an error tracking issue
  • Save data observability monitor annotations
  • Copy a llmobs dataset
  • Submit the llmobs experiment events
  • Append the reference table rows
  • Update an entity description
  • Run a code
  • Update a security signals triage
  • Assign the security findings
  • Save a security aap denylist
  • Update the llmobs dataset records
  • Save a security trace passlist
  • Update a security ioc indicator triage
  • Create or update a llmobs evaluator
  • Update the entity tags
  • Update the flaky test states
  • Create a rum operation
  • Create global variables
  • Update a llmobs annotation label schema
  • Update a rum operation
  • Build an audit trail query
  • Edit the global variables
  • Restore a llmobs dataset version
  • Update the data observability recommendation status

Manage

Early access

It tidies up and changes things in Datadog.

  • Delete a rum metric
  • Delete a dashboard
  • Delete a workflow
  • Delete a security aap custom rule
  • Delete the security detection rules
  • Delete the llmobs annotations
  • Delete a security findings automation rule
  • Delete a skill
Show all 22
  • Delete a spreadsheet
  • Delete a rum retention filter
  • Cancel a workflow instance
  • Delete a security suppression
  • Delete the llmobs experiments
  • Delete a llmobs annotation queue
  • Delete the data observability monitor annotations
  • Delete a llmobs evaluator
  • Delete a published analysis
  • Unblock a security aap denylist
  • Delete a security trace passlist
  • Detach a security findings ticket
  • Delete the llmobs annotation queue interactions
  • Delete a rum operation
BUILT TO ASK FIRST

It's built to wait for your OK in Datadog.

When a job ends in “Publish a workflow”, it does the work, and is built to stop with it ready. You see exactly what it wrote and where it goes, then Send, Edit or Deny.

It works in Datadog signed in as you. If it hits a sign-in, you sign in yourself: it's built not to type your passwords or card numbers.

DatadogPublish a workflowNeeds your OK
ToDana Lee (example)

Example draft · early access on Mac

Why Use DuckyHelper?

Works in Datadog like you do

  • Early access: it sees Datadog on your screen and works in it with its own cursor, while you keep using yours
  • Nothing to set up: it works in Datadog signed in as you
  • Finishes multi-step jobs across Datadog and your other apps

Built to ask before it sends or pays

  • Built to ask first before it sends a message or pays for anything
  • Built not to type your passwords or card numbers for you
  • It listens and looks only while the pill is open

Shows you, not just tells you

  • Explains Datadog out loud and draws right on your screen
  • Works it out with you on a blackboard when you want to learn it

Always there, in every app

  • Press one key in any app and ask out loud: fn on a Mac, Ctrl+Shift+Space on Windows and Linux
  • Runs jobs on a schedule (early access)
  • For Mac, Windows and Linux

Want it in every app you use?

One account works in every app on your computer. Try it for 10 minutes, no card, then pick a plan.

SEE PRICING
FAQ

Frequently asked questions

On your screen, the way a person at your computer would. Press fn (Ctrl+Shift+Space on Windows and Linux) and ask about what you see in Datadog: it answers out loud and can draw on Datadog to show you where things are. In early access on Mac it also works in Datadog with its own cursor, signed in as you, while you keep using yours.

For example: “Search the metrics and publish a workflow” and “Save a dashboard in Datadog”. Or ask about what you see: “Show me how to create a workflow”. Doing the work for you is in early access on Mac.

No. Open Datadog and sign in yourself, the way you always do. DuckyHelper works in the window you have open, signed in as you. It's built not to type your passwords or card numbers for you.

It's built to ask first before it sends a message or pays for anything, and to wait for your yes. It may not recognize every send or payment, so keep an eye on tasks that involve messages or money.

In Datadog, a job that ends in “Publish a workflow” is built to stop there for your OK: Send, Edit or Deny.

Yes. Press one key and ask out loud. It answers out loud while you keep working, draws on your screen to show you where things are, or works it out with you on a blackboard.

Yes. DuckyHelper works in any app on your computer, so one job can move between Datadog and the other apps and pages you use.

Doing the work for you is new and in early access on Mac. Asking out loud, drawing on your screen and the blackboard work today on Mac, Windows and Linux.

No. It listens and looks only while the pill is open. When the pill is closed, nothing is heard or seen.

No, there is no charge per app. Try DuckyHelper for 10 minutes with no card. Plus is $20 a month, $14 a month for your first 3 months. See pricing.

Mac (Apple silicon, macOS 14 or later), Windows and Linux. Download DuckyHelper.

No. DuckyHelper is made by MingLLM, Inc. and is not affiliated with or endorsed by Datadog. It works in Datadog the same way you do, on your screen.

Try it in Datadog.Press one key and ask.

It sees Datadog, explains it out loud and does the work with you.Try it for 10 minutes, no card.

Download DuckyHelper
Questions and jobs

Do anything

Ask it a question or hand it a job, in any app.

Doing jobs for you is in early access on Mac. Asking works on Mac, Windows and Linux.