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Scaling Security Where Performance is Critical with Signal Sciences

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 Scaling Security Where Performance is Critical with Signal Sciences - IoT ONE Case Study
Technology Category
  • Cybersecurity & Privacy - Cloud Security
Applicable Functions
  • Maintenance
Use Cases
  • Cybersecurity
  • Cybersecurity Services
The Customer
About The Customer

Datadog is an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

The Challenge

Datadog is a monitoring and security platform service for cloud applications. 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. Founded in 2010, the company rapidly scaled to serve its global customers by embracing the value of modern engineering and architecture practices.

As the organization continued to grow, Datadog’s security team knew that their homegrown application security tools would not scale at the rate required to support a rapidly growing customer base. Adopting a WAF was the next move, but Datadog required one that provided flexibility in modern cloud architectures, supported a rapid CI/CD pipeline’s code changes and deployments without extensive tuning, and didn’t unnecessarily consume resources across security, SRE, and development teams.

The Solution

The Only Next-Gen WAF for Modern Applications

As a leader in the DevOps space, Datadog has championed cloud-native applications built with the latest tools and best practices. Their organization needed a security solution that can easily adapt to their bespoke architectures: Signal Sciences was the only vendor that could keep up with their pace while filling their gaps.

Low TCO with No Tuning or Maintenance

Datadog delivers on its value proposition—a single pane of glass for all your app monitoring needs—by pushing code dozens of times per day to meet customer needs. The security team knew it would be too difficult for a legacy WAF to understand and tune to the constant changes in their application. 

No Performance Impact on Application or Organization

One of the main complaints about legacy WAF is the negative impact across the organization. Whether it’s blocking legitimate users from accessing a site, slowing applications, or using up DevOps resources to triage emergencies, performance issues are a top priority for teams evaluating WAFs. After deploying Signal Sciences, Datadog has reported zero performance issues across the board. 


Operational Impact
  • [Data Management - Cyber Security]

    Stakeholders from Security, DevOps, and Site Reliability Engineer (SRE) teams reported no false positive issues, resulting in zero negative impact on legitimate traffic.

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