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Create a Cron Job on AWS Lambda

AWS Lambda: Timed Task Solution without Dedicated Servers

AWS Lambda is a serverless computing platform that runs code based on events and automatically manages necessary computing resources. It is perfect for running timed tasks without having to run a dedicated server at all times.

Configure AWS Lambda timing tasks

Setting up Lambda in AWS requires multiple services, such as S3 buckets, IAM roles, CloudWatch Events rules, and Lambda permissions. These services work together to ensure that the Lambda function executes successfully as a timed task.

Implementing timing tasks on AWS involves creating Lambda functions and adding rules to define how often and how Lambdas are executed. Amazon automatically handles permissions and roles, using default settings.

Application of AWS Lambda timing tasks

AWS Lambda timing tasks can be used to perform various tasks, such as getting updated cryptocurrency prices. The acquired data can be stored or sent to different services, providing flexibility and scalability to the enterprise.

Pros and disadvantages of timing tasks

Timed tasks are very useful in Linux or Unix-like operating systems and allow regular script execution. Its flexibility makes it ideal for repetitive tasks such as backup and system cleaning as well as data acquisition and data processing.

However, timing tasks also have some disadvantages. The main disadvantage is the need for a dedicated server or computer that runs almost 24/7. AWS Lambda is the perfect solution for users who do not have access to such machines.

Advantages of AWS Lambda

AWS Lambda is an event-driven serverless computing platform for Amazon Web Services. It is a computing service that runs code based on events and automatically manages the computing resources required by that code. Not only can it run jobs 24/7, it can also automatically allocate the required resources.

Components of AWS Lambda timing tasks

Setting up Lambda in AWS is more than just implementing a few functions and want them to run regularly. To make it run, you need to first configure multiple services and make them work together. This tutorial will first cover all the services you need to set up, and then implement a timed task that will get some updated cryptocurrency prices.

Detailed explanation of core components

  • S3 bucket: Deployment package (.zip file containing code and its dependencies) for storing Lambda functions.

  • IAM Role: Manage permissions for Lambda functions, at least access to CloudWatch Logs (for writing to logs).

  • CloudWatch Events Rules: Use cron-like expressions to define event creation frequency. The Lambda function needs to be added as the target of these events.

  • Lambda Permissions: Ensure that the event can call the Lambda function. Anyone who wants to call a Lambda function requires explicit permissions.

Implementation of AWS Lambda timing tasks

Amazon automatically handles many interactions. In short, you only need to implement the service (the actual Lambda function) and add rules to it (the frequency and way Lambda executes). Amazon automatically handles permissions and roles; we will use the default values ​​provided by Amazon.

  • Lambda Function: Create a simple Lambda function, such as printing a message using Node.js, or using Python to get the cryptocurrency price.

  • Rules: Create duplicate CloudWatch triggers to ensure that Lambda functions execute periodically. Use a fixed rate (for example, once per minute) or a cron expression to define the schedule.

Example of Cryptocurrency Price Acquisition Service

The following is a Lambda function created using the Python 3.7 runtime to get the current dollar value of the first three cryptocurrencies and print it to the log:

import json
from botocore.vendored import requests

def lambda_handler(event, context):
    # ... (代码与原文相同) ...

Conclusion

Being able to have timing tasks in the cloud can have a huge impact on the enterprise. With AWS Lambda, we no longer need to perform expensive calculations 24/7 using dedicated machines with limited resources. We now have access to almost unlimited computing power without reducing the speed and availability of our business.

FAQ (FAQ)

(The following FAQ content is the same as the original text, the duplicate part is omitted)

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