How do I configure a GCP cloudtasks queue with Pulumi?
This guide will show you how to configure a Google Cloud Tasks queue using Pulumi in TypeScript. Google Cloud Tasks allows you to manage the execution of large numbers of distributed tasks, making it easier to process asynchronous jobs.
Key Points:
- Define a Google Cloud Tasks queue.
- Configure rate limits and retry settings for the queue.
- Set up logging configurations for monitoring.
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
// Define a Google Cloud Tasks queue
const taskQueue = new gcp.cloudtasks.Queue("my-task-queue", {
name: "my-task-queue",
location: "us-central1", // Specify the location of the queue
rateLimits: {
maxDispatchesPerSecond: 10,
maxConcurrentDispatches: 5,
},
retryConfig: {
maxAttempts: 5,
maxRetryDuration: "3600s", // 1 hour
minBackoff: "5s",
maxBackoff: "300s", // 5 minutes
maxDoublings: 3,
},
stackdriverLoggingConfig: {
samplingRatio: 0.5, // 50% of tasks are logged
},
});
// Export the queue name and location
export const queueName = taskQueue.name;
export const queueLocation = taskQueue.location;
Summary:
In this guide, we configured a Google Cloud Tasks queue using Pulumi in TypeScript. We defined the queue, set up rate limits, retry configurations, and logging settings. This setup ensures that tasks are processed efficiently and that you have visibility into task execution through logging.
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