Uprise’s “Monitoring on Steroids” with Anodot
Product
- Anodot
Tech Stack
- Machine Learning Algorithms
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
- Analytics & Modeling - Predictive Analytics
Applicable Functions
- Discrete Manufacturing
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Uprise is an ad-tech company that specializes in performance-advertising. The company uses its machine learning algorithms to target the best performing ad placements for its customers. Uprise develops its software using the 'continuous delivery' approach, which means that the team pushes around 20 new software releases into production each day. The company needs to keep track of hundreds of thousands of metrics, which is the lifeblood of its business. Each new release can affect the ad-tech platform’s performance (positively or negatively), so it is crucial to monitor results in a timely fashion to determine if the new release should be kept in production or rolled back.
The Challenge
Uprise, an ad-tech company, uses a 'continuous delivery' approach for its software development, pushing around 20 new software releases into production each day. Each new release can affect the platform’s performance, making it crucial to monitor results in a timely fashion to determine if the new release should be kept in production or rolled back. The ad tech environment itself has many moving parts, each of which is a potential point of failure. These can include server issues, changes at the ad affiliates, introduction of ad blocking software, or even fraud. Whenever a problem occurs, isolating the source can require complex, time-consuming analysis. Identifying issues in the first place is also tricky, since network traffic behaves seasonally. With the traffic naturally reaching various peaks and valleys throughout the day, noticing a 20% loss or gain at any given point is next to impossible.
The Solution
Uprise uses Anodot to track KPIs such as revenue, spend, fill-rate, and performance. With Anodot, Uprise can monitor everything, letting Anodot do the work of identifying anomalies. Anodot alerts much earlier since it is looking for the metric anomalies, rather than relying on static thresholds. Anodot provides the exact timestamp where an anomaly began, so the Uprise team can correlate it to a specific software release. Anodot is so easy to use that every single Uprise employee has a login to Anodot – from R&D to devops/IT to business intelligence – and most are using it all the time.
Operational Impact
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