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This is the third iteration of my tracking pixel experiment:
AWS Lambda function to return a tracking pixel
AWS Lambda Tracking Pixel with Elasticsearch
The Lambda to Elasticsearch function works well, but what happens when there is a traffic spike?
In this tutorial I add Kinesis Firehose so my app scales quickly. The incoming requests are written to Kinesis Firehose and later sent to Elasticsearch and also backed up in S3.
First, I used AWS Elasticsearch service to setup a t2.micro instance running Kibana and Elasticsearch.
Second, I setup Kinesis Firehose to publish to S3 and the Elasticsearch cluster I just created.
Third, I setup API Gateway as I did in the previous blog posts.
Finally, I updated the lambda function to publish to Kinesis Firehose instead of Elasticsearch.
Lambda Function to log events to Kinesis Firehose
'use strict';
var AWS = require('aws-sdk');
var setRegion = process.env['us-east-1'];
AWS.config.update({ region: 'us-east-1' });
var path = require('path');
var fh = new AWS.Firehose({
apiVersion : '2015-08-04',
region : setRegion
});
var imageHex = "\x42\x4d\x3c\x00\x00\x00\x00\x00\x00\x00\x36\x00\x00\x00\x28\x00" +
"\x00\x00\x01\x00\x00\x00\x01\x00\x00\x00\x01\x00\x18\x00\x00\x00" +
"\x00\x00\x06\x00\x00\x00\x27\x00\x00\x00\x27\x00\x00\x00\x00\x00" +
"\x00\x00\x00\x00\x00\x00\xff\xff\xff\xff\x00\x00";
var es_data = {};
exports.handler = function (event, context) {
// Add date for Elasticsearch index
var d = new Date();
es_data.date = d.toISOString();
es_data.context = event.context;
es_data.params = event.params;
var jsonDoc = JSON.stringify(es_data);
fh.putRecord(
{
DeliveryStreamName: 'kinesis-firehose-stream-name',
Record: { Data: jsonDoc }
},
function (err, data) {
if (err) {
console.log(err); // an error occurred
} else {
console.log(data); // successful response
}
context.done(err, { "body": imageHex });
});
};