The SSP Graphs section in RTB-Stack is a powerful tool designed to provide users with detailed visualizations of SSP performance metrics. This guide will help you navigate the various features and options available within the SSP Graphs window, ensuring you can effectively monitor and analyze SSP activities.
SSP Graphs offer several types of visual data representations to cater to different monitoring needs:
Users can select from available datacenters associated with their account via the Datacenter Dropdown. This feature allows for a more focused analysis by narrowing down the data to specific operational areas.
A dropdown menu allows users to choose one or more SSPs for which they want to view performance data. This selection is particularly useful in the Live QPS graph where performance data is critical for real-time decision-making.
Users can select from various predefined timeframes to view historical data:
For the Live QPS type, data refreshes every 5 seconds automatically, and the refresh button is disabled. For other graph types, a refresh button is enabled, allowing users to manually update the data as needed.
Users can hover over any point on the graph to see detailed data for that specific moment, enhancing the granularity of the analysis.
The Live QPS graph is prominently displayed at the top of the SSP Graphs window and provides a comprehensive overview of total QPS across all SSPs for the selected datacenter.
Each point on the graph represents one second, with a total of 300 dots covering the 5-minute timeline. Users can hover over any dot to see the current QPS value at that specific second.
Below the main Live QPS graph, individual graphs for each selected SSP are displayed. These graphs also feature:
Like the main graph, these individual graphs allow users to hover over the timeline to view second-by-second data, providing detailed insights into SSP performance.
By utilizing these features, users of RTB-Stack can effectively monitor and analyze the performance of their SSPs, making informed decisions based on real-time and historical data.
The Total Requests for Data Center graph is prominently displayed within the SSP Graphs section of RTB-Stack, providing a detailed view of total requests for a selected data center. This graph is crucial for monitoring the overall request load and understanding traffic patterns over time.
View by SSP:
Below the main Total Requests for Data Center graph, individual graphs for each selected SSP are displayed when the "View by SSP" option is chosen. These graphs provide a focused view of request activity for each SSP.
View by Endpoint:
When the "View by Endpoint" option is selected, the graph displays HTTP and filtered HTTP requests by endpoints of the SSP that have data within the selected data center.
These detailed graph views in the SSP Graphs section of RTB-Stack empower users to effectively monitor and analyze the performance of their SSPs and endpoints. The combination of real-time data visibility, flexible time period selection, and interactive features ensures that users have access to comprehensive and actionable performance metrics.
The Overlimits graph is a critical component of the SSP Graphs section within RTB-Stack, designed to monitor and analyze instances where request limits are exceeded. This graph helps users identify and address potential bottlenecks or capacity issues within their platform infrastructure.
View by SSP:
When the "View by SSP" option is selected, individual graphs for each SSP display the overlimit occurrences for that specific SSP within the selected data center.
View by Endpoint:
The "View by Endpoint" option provides a detailed breakdown of overlimit occurrences by endpoints of the SSP that have data within the selected data center.
These detailed graph views in the Overlimits section of the SSP Graphs empower users to effectively monitor and analyze the performance of their SSPs and endpoints concerning request limit exceedances. The combination of real-time data visibility, flexible time period selection, and interactive features ensures that users have access to comprehensive and actionable performance metrics to maintain optimal operation levels.