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

Customer Company Size
SME
Region
- America
Country
- United States
Product
- Datadog Infrastructure Monitoring
Tech Stack
- Amazon Web Services (AWS)
- Datadog API
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Software
Applicable Functions
- Product Research & Development
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
- Predictive Quality Analytics
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
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.
Case Study
Pipeline Insight Case Study: YARCDATA
YarcData faced challenges in determining the conversion rates of prospects into customers through various marketing efforts and identifying the source of its leads. They wanted to know the percentage of opportunities in the sales pipeline that came from different marketing events, web downloads, or self-sourced sales opportunities. Additionally, they needed the ability to drill down into the data to guide where to allocate more marketing dollars based on the success of previous efforts. Previously, YarcData relied heavily on spreadsheets and Salesforce.com reports, which made it difficult to extract the exact information they needed. This reliance on spreadsheets represented about 70% of their data presentation.