How can I use the AWS edge location to optimize the performance and minimize the latency?
There is a scenario where I am designing a global application that needs low-latency access for users across different continents. How can I use the AWS edge location strategically to optimize the performance and minimize the latency for my users?
In the context of AWS, you can do so by using the following steps:-
Deploying CloudFront
First, configure CloudFront to distribute your application content from edge locations worldwide. This can be done by using the AWS management console or programmatically using AWS SDK or CLI command.
Setting TTL( TIME TO LIVE)
You can adjust the TTL setting in Cloudfront to catch the frequently accessed content at the edge location for a specific duration, reducing the need to fetch content from the origin server repeatedly.
Using the lambda edge for customization
If your application demands custom logic or modification at the edge location then you can use the lambda edge. You can write lambda function in node.js, and python for manipulation of the HTTP request and respond at edge location.
Geo-targeting with CloudFront behavior
You can implement Cloudfront behavior to serve different content or apply specific caching rules that are based on the geographical location of the users.
Here is an example given below of how you can use the AWS SDK for creating a CloudFront distribution, Configuration of caching behavior, and setting TTL values programmatically:-
Import com.amazonaws.services.cloudfront.AmazonCloudFront;
Import com.amazonaws.services.cloudfront.AmazonCloudFrontClientBuilder;
Import com.amazonaws.services.cloudfront.model.*;
Import java.util.ArrayList;
Import java.util.List;
Public class CloudFrontManagement {
Public static void main(String[] args) {
// Create an instance of AmazonCloudFront client
AmazonCloudFront cloudFrontClient = AmazonCloudFrontClientBuilder.defaultClient();
// Create an Origin for your CloudFront distribution
S3Origin s3Origin = new S3Origin(“your-s3-bucket-name.s3.amazonaws.com”);
// Create a Cache Behavior with TTL settings
ForwardedValues forwardedValues = new ForwardedValues()
.withQueryString(false)
.withCookies(new CookiePreference().withForward(“none”));
CacheBehavior cacheBehavior = new CacheBehavior()
.withPathPattern(“/assets/*”)
.withTargetOriginId(“your-target-origin-id”)
.withForwardedValues(forwardedValues)
.withMinTTL(3600L) // Minimum TTL in seconds
.withDefaultTTL(86400L) // Default TTL in seconds
.withMaxTTL(259200L); // Maximum TTL in seconds
// Create a list of cache behaviors
List cacheBehaviors = new ArrayList<>();
cacheBehaviors.add(cacheBehavior);
// Create a CloudFront distribution configuration
DistributionConfig distributionConfig = new DistributionConfig()
.withCallerReference(“your-caller-reference”)
.withComment(“Your CloudFront distribution comment”)
.withDefaultRootObject(“index.html”)
.withOrigins(new Origins().withItems(s3Origin).withQuantity(1))
.withEnabled(true)
.withDefaultCacheBehavior(cacheBehavior)
.withCacheBehaviors(new CacheBehaviors().withItems(cacheBehavior).withQuantity(1));
// Create a request to create a CloudFront distribution CreateDistributionRequest request = new CreateDistributionRequest()
.withDistributionConfig(distributionConfig);
// Send the request to create the CloudFront distribution
CreateDistributionResult result = cloudFrontClient.createDistribution(request);
// Print the distribution’s domain name
System.out.println(“CloudFront distribution created with domain name: “ + result.getDistribution().getDomainName());
}
}
Here is the same example given in python:-
Import boto3
# Create an instance of the CloudFront client
Cloudfront_client = boto3.client(‘cloudfront’)
# Create an S3 origin for the CloudFront distribution
S3_origin_config = {
‘OriginProtocolPolicy’: ‘https-only’,
‘OriginAccessIdentity’: ‘’
}
S3_origin = {
‘Id’: ‘your-s3-origin-id’,
‘DomainName’: ‘your-s3-bucket-name.s3.amazonaws.com’,
‘S3OriginConfig’: s3_origin_config
}
# Create a cache behavior with TTL settings
Cache_behavior = {
‘PathPattern’: ‘/assets/*’,
‘TargetOriginId’: ‘your-s3-origin-id’,
‘ForwardedValues’: {
‘QueryString’: False,
‘Cookies’: {‘Forward’: ‘none’}
},
‘MinTTL’: 3600,
‘DefaultTTL’: 86400,
‘MaxTTL’: 259200
}
# Create a distribution configuration
Distribution_config = {
‘CallerReference’: ‘your-caller-reference’,
‘Comment’: ‘Your CloudFront distribution comment’,
‘DefaultRootObject’: ‘index.html’,
‘Origins’: {
‘Quantity’: 1,
‘Items’: [s3_origin]
},
‘Enabled’: True,
‘DefaultCacheBehavior’: cache_behavior,
‘CacheBehaviors’: {
‘Quantity’: 1,
‘Items’: [cache_behavior]
}
}# Create a request to create a CloudFront distribution
Create_distribution_response = cloudfront_client.create_distribution(
DistributionConfig=distribution_config
)
# Print the distribution’s domain name
Print(“CloudFront distribution created with domain name:”, create_distribution_response[‘Distribution’][‘DomainName’])