Datadog > Case Studies > Monitoring that Scales with a Decentralizing and Growing Development Team

Monitoring that Scales with a Decentralizing and Growing Development Team

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Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • Datadog
Tech Stack
  • Cloud Services
  • Custom Metrics
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Retail
Applicable Functions
  • Business Operation
  • Product Research & Development
Use Cases
  • Factory Operations Visibility & Intelligence
  • Predictive Maintenance
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
About The Customer
Bazaarvoice offers solutions that enable the world’s largest retailers and global brands to turn social media into social commerce. By creating a place where hundreds of millions of shoppers around the world can share opinions, experiences, and genuine stories about products, Bazaarvoice leverages the authentic voice of consumers to help businesses build customer loyalty and increase profits. Bazaarvoice had grown its product line from a single customer ratings and reviews offering to a suite of social depth platforms that allowed customers to turn user generated content into actionable insights. As a result, the development team had ballooned from 30 to over 200 in just a few years. Maintaining this aggressive growth required that Bazaarvoice find ways to accelerate product innovation and sustainably scale their development team.
The Challenge
Bazaarvoice was in need of a monitoring solution that can support their evolving and decentralized approach to development. Scaling their existing monitoring systems would have required each team to not only host and manage their own observability tools, but also learn specific domain expertise in infrastructure monitoring. Bazaarvoice was already using a number of different monitoring solutions on their legacy systems. Scaling the existing monitoring systems would have required each team to not only run their own monitoring server, but also, to learn specific domain expertise in infrastructure monitoring. For Bazaarvoice, this would have involved more than 50 different monitoring servers, each with their own custom setup, metrics, and naming conventions. Maintaining easy and effective operations on such a disjointed system would have been nearly impossible for a team that was doubling in size every 6 to 9 months. Bazaarvoice required a monitoring solution that could support their evolving and decentralized approach to development.
The Solution
Datadog’s OOTB vendor integrations and easy-to-use interface allow Bazaarvoice to get seamless visibility into the wide variety of tools used by their development teams. Datadog also eliminated the need to relearn a specialized language each time they add a new custom setup. Bazaarvoice leverages Datadog to easily correlate metrics from their on-prem, public, and private cloud services and provides each team the flexibility to create custom, individualized dashboards. As Bazaarvoice evolved to a more decentralized IT department, they quickly realized how important it was to give each team the flexibility to monitor what was important for each specific environment. Some teams wanted dashboards that could be used as a heads up displays to watch key performance and business metrics. Other teams only wanted to log in and evaluate metrics when they ran into an issue. With Datadog, Bazaarvoice has empowered each of its product teams to create custom metrics and dashboards for their individual systems in an automated fashion.
Operational Impact
  • Datadog provides a single place for all product teams and other stakeholders to easily track and understand performance data.
  • With Datadog, Bazaarvoice has a unified monitoring solution across all of their tools and services.
  • Bazaarvoice uses Datadog to collect, monitor, and alert on key custom metrics for each individual system.

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