Provide a Flexible Solution to Suit a Service-Based Architecture and Scale With a Rapidly Growing Business
Customer Company Size
Large Corporate
Country
- United States
Product
- Datadog
- PagerDuty
- Amazon Web Services
- Relational Database Service (RDS)
Tech Stack
- Amazon Web Services
- Relational Database Service (RDS)
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
- Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Functions
- Business Operation
Use Cases
- Infrastructure Inspection
- Remote Collaboration
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
Airbnb is a leading community-driven hospitality company where people can list, discover, and book unique accommodations around the world. The company offers a platform for travelers to book accommodations in more than 34,000 cities in 190 countries. Airbnb connects people to unique travel experiences, whether they want an apartment for a night, a castle for a week, or a villa for a month. The company is known for its inviting website and world-class customer service, making it the easiest way for people to monetize their spare space and showcase it to an audience of millions.
The Challenge
Airbnb, a leading community-driven hospitality company, faced the challenge of maintaining the reliability of their services while adapting quickly to new business opportunities. They developed a service-based architecture for some components of the site, while other components continued to be part of their main application. Separate engineering teams were created to support the separate components and features. Over time, they added many different systems for monitoring, some reporting to the central dashboard application, others being more standalone. This approach became difficult to scale, leading them to look for a comprehensive and more holistic operations performance solution.
The Solution
Airbnb decided to standardize their systems as they scaled their customer base and infrastructure. They chose to implement Datadog and PagerDuty, as these tools provided comprehensive monitoring, reliable alerting, and on-call management, and could also be customized to enhance their ease-of-use and effectiveness. The published APIs made it easy for engineers to write their own plugins and integrate these into the combined system. Airbnb was able to collect and correlate metrics from 15 different systems into Datadog dashboards, and then aggregate incidents from any system in PagerDuty and notify the right person at the right time. This helped them reduce the time it takes to act on and ultimately resolve critical issues.
Operational Impact
Quantitative Benefit
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