Datadog Case Studies Provide a Flexible Solution to Suit a Service-Based Architecture and Scale With a Rapidly Growing Business

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	Provide a Flexible Solution to Suit a Service-Based Architecture and Scale With a Rapidly Growing Business Datadog

Provide a Flexible Solution to Suit a Service-Based Architecture and Scale With a Rapidly Growing Business

Datadog

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Airbnb was able to standardize their systems as they scaled their customer base and infrastructure.
Impact #2	The implementation of Datadog and PagerDuty provided comprehensive monitoring, reliable alerting, and on-call management.
Impact #3	The tools could be customized to enhance their ease-of-use and effectiveness.

Impact #1

Airbnb was able to standardize their systems as they scaled their customer base and infrastructure.

Impact #2

The implementation of Datadog and PagerDuty provided comprehensive monitoring, reliable alerting, and on-call management.

Impact #3

The tools could be customized to enhance their ease-of-use and effectiveness.

Benefit #1	Reduced the time it takes to act on and ultimately resolve critical issues.

Benefit #1

Reduced the time it takes to act on and ultimately resolve critical issues.

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Overview

Provide a Flexible Solution to Suit a Service-Based Architecture and Scale With a Rapidly Growing Business

Operational Impact

Quantitative Benefit