Loggly (Send Data)
Loggly integration for sending data (separate credentials are required to read data)
Integrate the Loggly (Send Data) API with the Snowflake API
Setup the Loggly (Send Data) API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Loggly (Send Data) and Snowflake remarkably fast. Free for developers.
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Popular Ways to Connect Loggly (Send Data) with Snowflake#
Popular Loggly (Send Data) and Snowflake Triggers#
Popular Loggly (Send Data) and Snowflake Actions#
Send events to Loggly, with tags. See the docs for more details
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 Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies