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A Proactive Approach to Data-Driven Observability
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - API Integration & Management
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Software Design & Engineering Services
- System Integration
The Challenge
Compass, a real estate brokerage company, was experiencing exponential growth and needed a sustainable monitoring strategy that could scale along with the engineering organization. They were using a suite of different monitoring products, which meant that engineers typically had to loop through multiple tools to solve one problem. This constant context switching created friction between teams and contributed to engineer burnout. Additionally, their point solution for monitoring the frontend stack introduced excessive administrative overhead due to its poor support for user provisioning and often generated false positives due to poor configuration. As Compass quickly expanded its engineering team, this process became a bottleneck and was no longer acceptable.
About The Customer
Compass is a real estate brokerage company founded in 2012. It helps agents and clients improve the way they buy, sell, and rent homes in the United States. The company has established a first-mover advantage in the real estate industry by building technology to provide an intelligent and seamless experience for its agents. After raising over $1 billion in capital, Compass began furthering its growth initiatives by acquiring some of the best brokerages around the country. To continue attracting the best real estate agents, renters, buyers, and sellers, Compass built a customer-centric technology platform that would simplify and automate day-to-day tasks that exist in the real estate market. One of Compass's differentiating features is private exclusives: off-market homes that agents can share directly with their buyers.
The Solution
Compass turned to Datadog's infrastructure monitoring solution and expanded their usage as they saw the value of monitoring all of their metrics, traces, and logs in the same platform. They replaced their frontend point solution with Datadog Synthetic Monitoring, which allowed them to get full-stack visibility by seamlessly correlating synthetic test results with backend performance data in a single pane of glass. With Datadog’s web recorder, teams were able to create multi-step browser tests to simulate user journeys, and configure them to execute from various locations around the globe. This allowed them to confirm that failed test results would automatically get sent to the correct individuals. Datadog Synthetic Monitoring was pivotal for helping Compass transition from a reactive to a proactive monitoring strategy. Now, on-call engineers get notified when a synthetic monitoring check fails, and can quickly get the end-to-end context they need to answer questions that used to take days on end to investigate.
Operational Impact
Quantitative Benefit
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