Integrate the Loggly (Send Data) API with the Python API

Setup the Loggly (Send Data) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Loggly (Send Data) and Python remarkably fast. Free for developers.

Popular Loggly (Send Data) and Python Actions#

Send Event with the Loggly (Send Data) API

Send events to Loggly, with tags. See the docs for more details

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of Loggly (Send Data)#

The Loggly (Send Data) API enables you to transmit log data into Loggly, a cloud-based log management and analytics service. With this integration, you can automate the aggregation of logs from various sources, analyze them in real-time, and monitor your applications and systems effectively. By leveraging this API on Pipedream, you can create automated workflows that streamline the process of log collection and correlation, set up alerts based on log patterns, and dynamically respond to system events.

Connect Loggly (Send Data)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loggly_send_data: {
      type: "app",
      app: "loggly_send_data",
    }
  },
  async run({steps, $}) {
    const data = {
      "hello": `world`,
    }
    return await axios($, {
      method: "post",
      url: `https://logs-01.loggly.com/inputs/${this.loggly_send_data.$auth.token}/tag/pipedream-test`,
      params: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}