Datadog > Case Studies > Improving Staff Productivity by Providing Developers with a Workflow-Oriented Operational Monitoring System

Improving Staff Productivity by Providing Developers with a Workflow-Oriented Operational Monitoring System

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Company Size
11-200
Region
  • America
Country
  • United States
Product
  • Datadog Infrastructure Monitoring
Tech Stack
  • Amazon Web Services (AWS)
  • Datadog API
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
  • Software
Applicable Functions
  • Business Operation
  • Product Research & Development
Use Cases
  • Predictive Quality Analytics
  • Real-Time Location System (RTLS)
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
About The Customer
Acquired by Nativo in 2019, SimpleReach is a data platform that enables businesses to measure and optimize content distribution by tracking engagement, social activity, and other key metrics. SimpleReach uses predictive analytics to project the popularity of content across different platforms, enabling marketers to develop more successful content strategies. With insight into which content drives conversions, SimpleReach programmatically amplifies the right content to targeted audiences across channels such as Facebook, Twitter, LinkedIn, Outbrain, Nativo, StumbleUpon and TripleLift. Currently tracking and processing more than 8 billion content interactions in real-time daily, the company works with leading publishers such as The New York Times, Forbes, The Huffington Post, and Fortune 500 companies including Intel and SAP, as well as startups and mid-sized marketers.
The Challenge
As SimpleReach’s platform grew, teams began spending more time tracking and comparing performance metrics during infrastructural updates. Their existing open source monitoring tools created a disconnect between development and operations teams, making it difficult to assess the performance implications of frequent changes in the production environment. The underlying problem was a familiar one: a disconnect between development and operations. “The developers didn’t realize how the changes they were making were affecting the production environment,” Lubow recalls. “Some of the impacts were significant, and the need for frequent changes in both application and system software was making the situation untenable.”
The Solution
Datadog Infrastructure Monitoring enabled SimpleReach's teams to get a unified view of real-time changes across their operating environment. Additionally, because events and metrics were automatically correlated in Datadog, engineers could get meaningful context for troubleshooting. With Datadog’s flexible dashboards and alerts, SimpleReach was able to simplify code deployment processes and improve DevOp productivity. Because SimpleReach uses a home-grown code deployment system, it was necessary to configure the Datadog system to effectively monitor all of the changes being made. Datadog’s flexibility and intuitive ease-of-use substantially simplified the effort required to translate the code deployment processes into the custom data streams needed for effective monitoring.
Operational Impact
  • Improved productivity of both developers and operators.
  • Enabled the development team to gain meaningful insight into how changes in software can impact operations.
  • Correlated different events and metrics to provide actionable insight.
  • Enhanced troubleshooting effectiveness of the development.
  • Made it easy to find and fix any machine that is behaving abnormally.
Quantitative Benefit
  • Number of daily interactions that SimpleReach tracked with Datadog: 8 Billion.
  • SimpleReach's team got Datadog up and running in 15 Minutes.
  • Number of AWS instances SimpleReach was able to monitor with Datadog: 300.

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