Case Study

How Voyager Labs identifies nuggets of insight from 120K events/second

Client
Voyager Labs
Voyager Labs
Industries
Technology
Technologies
Data Analytics
Region
EMEA, Israel
Country
Tel Aviv

Meet Voyager Labs

On an average day, 10 billion records are being collected. With an average of 1 KB per record, the daily amount of data collected accounts to roughly 10 TB. The data ingestion need to support at least 120K events/second to keep up with the volume of collected data.

The challenge

Voyager Labs needed the capability to analyze billions of data points & reveal deep actionable insights from the collected data.

The solution

After careful and detailed evaluation of customer challenges, the following solution features were prioritized to be a part of a proposed solution and architecture:

  • Elasticity – it has to be easy to scale the solution
  • Managed – there is a preference for AWS managed solution to increase the speed of product development
  • Secure – by utilizing Amazon Identity and Access Management, the access will be centrally managed and governed

The AWS Cloud provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics platform. These include AWS managed services that help ingest, store,find, process, and analyze both structured and unstructured data.

The result

Following the delivery of the solution by DoiT International, Voyager Labs now enjoys the following benefits:

  • Fully managed Spark clusters with elastic scaling of the nodes and spot instances
  • 300% cost reduction on disk capacity due to migration to Amazon S3
  • Relies on managed services without the maintenance burden
  • Serverless data ingestion using Amazon Kinesis and Kinesis Firehose
  • Consistent research experience with Amazon SageMaker

Chen Goldberg
The AWS provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics platform.

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