Download PDF
Case Studies > With an Assist from Redis Enterprise, Malwarebytes Makes the Digital World a Safer Place

With an Assist from Redis Enterprise, Malwarebytes Makes the Digital World a Safer Place

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Application Infrastructure & Middleware - Database Management & Storage
Applicable Industries
  • Software
  • Security & Public Safety
Applicable Functions
  • Business Operation
  • Quality Assurance
Use Cases
  • Real-Time Location System (RTLS)
  • Cybersecurity
  • Predictive Maintenance
  • Remote Asset Management
Services
  • System Integration
  • Software Design & Engineering Services
  • Cloud Planning, Design & Implementation Services
The Challenge
Before Redis Enterprise, Malwarebytes was struggling to harness the sheer enormity of data their systems were capturing. The company had access to a wealth of malware data, but leveraging that data with the speed and efficiency necessary to drive intelligence into global and local attack vectors was a daunting task. One of the challenges at hand was to create stateful storage for several of Malwarebytes’ lifeblood data streams. They received billions of records of malware detection information, and as malware was detected, threat details were streamed to a centralized data platform. Stateful environment information was also streamed and collected separately in stateful storage for streaming data joins. Understanding environment state as malware detections were found in real-time was game-changing, providing deep insights into malware proliferation, velocities, and attack vectors that were previously impossible. Additionally, Malwarebytes’ advanced visualizations posed another big storage challenge. The visualizations provided an analysis of outbreak geography, velocities, and even insights into gestational periods of early malware formation. However, they were built on vast amounts of data and required tremendous amounts of compute resources to generate, necessitating a database that could provide centralized stateful storage and perform real-time streaming joins at a massive scale.
About The Customer
Malwarebytes is an industry-leading anti-malware and internet security software provider. The company’s innovative real-time security tools detect and prevent malware infections for customers across the globe. The Malwarebytes Data and AI team is able to provide interactive dashboards that trace the trajectories and velocities of detected threats as they spread around the world. Malwarebytes’ use of Redis Enterprise for fast data ingestion, session management, centralized stateful storage, time series analysis, and geospatial analysis allows the company to aggregate, correlate, and visualize data in a manner and speed it believes would not be possible without Redis Enterprise.
The Solution
Since its implementation at Malwarebytes, NoSQL Redis Enterprise has become an essential part of the backbone of the company’s real-time streaming layer. Malwarebytes relies on several standout Redis features uniquely suited to its challenging use cases. In-memory processing Redis has been benchmarked to handle over one million read/write operations per second. The blazing fast performance of in-memory Redis is critical in addressing Malwarebytes’ incredibly high throughput, requirement for real-time streaming joins, and need to access massive amounts of data at caching speeds. They tried DynamoDB, but it wasn’t fast enough, and other options like Kafka’s K-tables were fast enough but problematic and difficult to debug and ensure data consistency. Redis’ built-in data structures were another big draw for Malwarebytes. The database’s Set, Hash, and Geo Set data structures optimize the complex time series and geospatial analyses that power Malwarebytes’ dashboards. Redis provided the much-needed real-time indexing and retrieval capability for creating joins on streaming data. Malwarebytes had originally been running Amazon ElastiCache for Redis but decided it needed true high availability, scalability, and reliability, as well as an expert support team. Redis Labs and its enterprise-grade Redis brought all of those things to the table and something else: an engineering mindset. Redis Labs was willing to help Malwarebytes architect and engineer the best solution before production, ensuring a high-performing production system.
Operational Impact
  • Redis Enterprise provided Malwarebytes with the high availability and scaling needed to move from a conceptual prototype to a high-performing production system.
  • The in-memory processing capabilities of Redis Enterprise allowed Malwarebytes to handle over one million read/write operations per second, addressing their high throughput and real-time streaming join requirements.
  • Redis’ built-in data structures, such as Set, Hash, and Geo Set, optimized the complex time series and geospatial analyses that power Malwarebytes’ dashboards.
Quantitative Benefit
  • Redis Enterprise can handle over one million read/write operations per second.
  • Malwarebytes processes billions of records of malware detection information in real-time.

Related Case Studies.

Contact us

Let's talk!

* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.