Cloud Solution
for McAfee.
McAfee wanted to design, develop and implement a new cloud-based technical architecture that would allow them to find a balance between storage costs, real-time processing capacity and improved response time.
Industry: Information Technology
Client: McAfee
Service: Agile Software Development.
Engagement Model: Dedicated Teams.
Tecnologías: AWS architecture, S3 Bucket, GLUE (ETL), PySparkSQL, Redshift,
Python 3.7, Bash, Parquet Files, AWS Athena, Kafka bus
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 Goals.
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.
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.
Results.
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