Real time processing + Cloud Storage Optimization.
Client: McAfee
Industry: Information Technology
Service: Discovery / Agile Dedicated Teams.
Expertise: Software Development
Technologies: AWS Archit., S3 Bucket, GLUE (ETL), PySparkSQL, Redshift, Python 3.7, Bash, Parquet Files, AWS Athena, Kafka bus.
Solution
We created a security cloud solution based on AWS to provide monitoring, detection, response and investigation capabilities to enterprise customers. As part of the monitoring and detection capabilities, the system collects telemetry from endpoints that is used to understand different activities running on user machines. The main goal of the system, known as Data Collection Funnel, is the instrumentation, transfer, translation and storage of the endpoint telemetry in real time.
Background
McAfee is a software company specializing in computer security, its best known product is antivirus.
Challenges
The client was not satisfied with the level of response that it was providing to its clients when faced with new virus threats on the computers protected by its computer virus protection product. The non-processing of information in real time, together with the cost associated with the high volume of storage of this information meant an impediment to find a solution that satisfies the business.
Business Objective
Deliver to its customers a better response time to virus threats by collecting and processing information in real time to deliver it to their cyber-security teams as soon as possible.
Results
We have achieved both goals, a drastic reduction in storage cost and a great improvement in time response to face virus threats.
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