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Datadog: Enhancing Security and Performance with Signal Sciences
Technology Category
- Application Infrastructure & Middleware - Event-Driven Application
- Cybersecurity & Privacy - Application Security
Applicable Industries
- Glass
- National Security & Defense
Applicable Functions
- Maintenance
Use Cases
- Tamper Detection
- Traffic Monitoring
Services
- Cloud Planning, Design & Implementation Services
The Challenge
Datadog, a monitoring and security platform service for cloud applications, faced a significant challenge as it continued to grow. The company's homegrown application security tools were not scalable enough to support its rapidly expanding customer base. The organization needed to adopt a Web Application Firewall (WAF), but it had specific requirements. The WAF needed to provide flexibility in modern cloud architectures, support rapid code changes and deployments in a CI/CD pipeline without extensive tuning, and not consume unnecessary resources across security, SRE, and development teams. The challenge was finding a solution that could meet these requirements while keeping up with the pace of Datadog's growth.
About The Customer
Datadog is a leading monitoring and security platform service for cloud applications. Founded in 2010, the company has rapidly scaled to serve its global customers by embracing the value of modern engineering and architecture practices. Thousands of customers rely on Datadog to see metrics and events from software across their DevOps stack, such as cloud and security monitoring, alerts, logs, and more. As a leader in the DevOps space, Datadog champions cloud-native applications built with the latest tools and best practices. The company pushes code dozens of times per day to meet customer needs.
The Solution
Datadog found its solution in Signal Sciences, the only vendor that could keep up with their pace while filling their gaps. Signal Sciences offered flexible deployment options that allowed Datadog to quickly and easily install their patented technology exactly where they needed it. This solution was particularly beneficial for Datadog as it allowed them to continue delivering on their value proposition of providing a single pane of glass for all app monitoring needs. Signal Sciences protected Datadog by immediately filtering and blocking attacks without extensive or ongoing rules tuning. This gave Datadog's security team the breathing room they needed to focus on high-priority tasks and projects. Furthermore, Signal Sciences had no performance impact on the application or the organization. After deploying Signal Sciences, Datadog reported zero performance issues across the board.
Operational Impact
Quantitative Benefit
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