Kafka and PagerDuty integration

Save yourself the work of writing custom integrations for Kafka and PagerDuty and use n8n instead. Build adaptable and scalable Development, and Communication workflows that work with your technology stack. All within a building experience you will love.

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How to connect Kafka and PagerDuty

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Kafka and PagerDuty integration: Create a new workflow and add the first step

Step 2: Add and configure Kafka and PagerDuty nodes

You can find Kafka and PagerDuty in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Kafka and PagerDuty nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Kafka and PagerDuty integration: Add and configure Kafka and PagerDuty nodes

Step 3: Connect Kafka and PagerDuty

A connection establishes a link between Kafka and PagerDuty (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Kafka and PagerDuty integration: Connect Kafka and PagerDuty

Step 4: Customize and extend your Kafka and PagerDuty integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Kafka and PagerDuty with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Kafka and PagerDuty integration: Customize and extend your Kafka and PagerDuty integration

Step 5: Test and activate your Kafka and PagerDuty workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Kafka to PagerDuty or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Kafka and PagerDuty integration: Test and activate your Kafka and PagerDuty workflow

Build your own Kafka and PagerDuty integration

Create custom Kafka and PagerDuty workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

PagerDuty supported actions

Incident
Incident Note
Log Entry
User

Create

Create an incident

Get

Get an incident

Get Many

Get many incidents

Update

Update an incident

Create

Create a incident note

Get Many

Get many incident's notes

Get

Get a log entry

Get Many

Get many log entries

Get

Get a user

Kafka and PagerDuty integration details

Kafka is an open-source platform for distributed event streaming that may be used for mission-critical applications, high-performance data pipelines, streaming analytics, and data integration. The largest companies in the world, in different sectors, are using Kafka.

Kafka node docs + examples

Kafka credential docs

See Kafka integrations

Related categories

Development

PagerDuty, a cloud computing company, is a useful tool for IT departments of companies as it provides incident response, critical event management, CollabOps, and automated diagnosis. It helps many companies save time and money with its powerful services.

PagerDuty node docs + examples

PagerDuty credential docs

See PagerDuty integrations

Related categories

Communication

Development

Other integrations with Kafka

Other integrations with PagerDuty

Kafka and PagerDuty integration tutorials

Guide
SecOps

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