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Amazon CloudWatch Logs: A Tale of Two Log Managers Going one step further, these metric filter graphs can also be used to create custom dashboards. Other than searching through the logs, AWS customers can now create metric filters on the log data and specify alerts on those filters. CloudWatch enables users to group similar “streams” of logs under log groups and apply retention policies on those log groups. AWS POSTGRESQL LAMBDA NODEJS WINDOWSWith Amazon EC2, Amazon CloudWatch can capture operating system events from syslog or Windows event log, as well as events from applications like Nginx, Apache, or MongoDB. One of the newer features of Amazon CloudWatch is its ability to capture logs from Amazon EC2 instances, AWS Lambda functions, or AWS CloudTrail. Users can see historical performance trends from these counters and create alerts based on their values. For example, some performance counters for Amazon EC2 instances include CPU usage, NetworkIn, NetworkOut, and Read and Write Ops. For each type of service, Amazon CloudWatch exposes a number of performance counters specific to that service. Below the POST request handler, let's make another handler: app.Amazon CloudWatch from Amazon Web Services (AWS) is a web service for monitoring the performance of other AWS-hosted resources. Let's devise a simple GET endpoint for a more user-friendly way to check for results. We should be getting the same data back, which means that it's working correctly and our endpoint has inserted a user. Let's input the required parameters and send the request: In Postman we want to create a POST request to our server. This query will create a user in the RDS database and log the results. AWS POSTGRESQL LAMBDA NODEJS CODEWhat this code does is pretty straightforward - it packs the information from the POST request and inserts it into a query. Let's modify our anonymous function: con.connect( function( err) ) Now that we know that we can definitely connect to our database, we need to create a table. If it doesn't, there's likely an issue with the security settings - go back to the RDS set-up and make sure you've done everything correctly. We can quickly check to see if it's properly set up by running: $ node dbseed.js ![]() What this piece of code will do is attempt to connect to the database - if it succeeds, it'll run an anonymous function that logs 'Connected!', and then immediately close the connection. Make sure to swap out for the endpoint that we noted down earlier, and fill in the password. Let's start off with the dbseed.js file: const mysql = require( 'mysql') AWS POSTGRESQL LAMBDA NODEJS INSTALLThen, let's install the required dependencies: $ npm install express -save $ npm install mysql -saveĪnd finally, we want to create two JavaScript files - one of them will be our Express app, the other will be a single-use script to create a table in our database: $ touch index.js $ touch dbseed.js Table Creation Script Let's create a folder, move into it and initialize a blank Node.js application with the default configuration: $ mkdir node-rds $ cd node-rds $ npm init -y Before we do that, we need to create a table inside our RDS instance to store data in. In order to interact with our application, we're going to create a very simple API that allows us to store user profiles via Express.js. Your RDS instance should now be ready to go! Let's write some code to interact with it. You'll be presented with a page that looks something like this: Once you're logged in, click on 'Services' in the top left, and then search for 'RDS'. Setting Up an RDS Instanceįirst, we're going to create our RDS instance cluster. Postman is optional, and really, you can use any tool to test out the endpoint, even your internet browser. We'll be using this in the Node half of the article in order to test the code we've written. Postman is a useful tool for creating and sending requests. AWS POSTGRESQL LAMBDA NODEJS FOR FREEAs RDS is an AWS service, we'll need to get set up with an AWS account.ĪWS has a free tier for a lot of awesome stuff, and RDS is no exception - you get to use 750 hours (31 days) a month of db.t2.micro database usage for free for 12 months. Prerequisites Amazon Web ServicesĪmazon Web Services (AWS) provides a collection of tools for building applications in the cloud. In this article, we're going to set up a database on RDS, and store data on it with a Node application. Almost any application, from social media and e-commerce websites to simple time tracker and drawing apps, relies on the very basic and fundamental task of storing and retrieving data in order to run as expected.Īmazon's Relational Database Service (RDS) provides an easy way to get a database set up in the cloud using any of a wide range of relational database technologies. It's not an overstatement to say that information and data runs the world. ![]()
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