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AWS Lambda for mobile app analytics and engagement company

Amazon Web Services

Localytics

Amazon Elastic Load Balancing (ELB)

AWS Lambda

Amazon Simple Queue Service (SQS)

Amazon Web Services

Additional information

Source: Web-site of vendor

The project has been delivered on schedule

The budget has not been exceeded

Functionality complies with task

Description

"With AWS Lambda, our various engineering teams can tap into a parallel data stream to create microservices independently from the main analytics application. It helps us get new services to our customers faster. For a startup, faster time to market is key", Mohit Dilawari, Director of Engineering

The Challenge

Supports pipeline with billions of data points uploaded every day from different mobile applications running Localytics analytics software.

Engineering team needed to access subsets of data for creating new services, but this led to additional capacity planning, utilization monitoring, and infrastructure management.

Platform team wanted to enable self-service for engineering teams.

Before using Amazon Kinesis and Amazon Lambda, the main analytics processing service for Localytics had to be updated when a microservice was added.

The Solution

Uses AWS to send about 100 billion data points monthly through Elastic Load Balancing to Amazon Simple Queue Service, then to Amazon Elastic Compute Cloud, and finally into an Amazon Kinesis stream.

For each new feature of the marketing software, a new microservice using AWS Lambda is created to access the Amazon Kinesis data stream. Each microservice can access the data stream in parallel with others.

With Amazon Kinesis and Amazon Lambda deployed, Localytics puts a subset of data into a Kinesis stream, which different microservices teams can use to build their own Lambda microservices without needing to notify or consult the analytics team.

The Benefits

Decouples product engineering efforts from the platform analytics pipeline, enabling creation of new microservices to access data stream without the need to be bundled with the main analytics application.

Eliminates the need to provision and manage infrastructure to run each microservice .

Lambda automatically scales up and down with load, processing tens of billions of data points monthly.

Speeds time to market for new customer services, since each feature is a new microservice that can run and scale independently of every other microservice.

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