Parade Status
Real-time updates of Parade issues and outages
Parade status is Partially Degraded Service
Parade Broker TMS Integrations
Aljex Integration
McLeod Capacity Creator Integration
McLeod DFM Public APIs
Internal Integration APIs
McLeod DFM Carrier Sync
Mcleod DFM Load Sync
Active Incidents
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.
Recently Resolved Incidents
No recent incidents
Parade Outage Survival Guide
Parade Components
Parade Core
Broker Portal APIs
Broker Portal UI
Carrier Identity
Load Quickview
Smart Lanes APIs
Advantage APIs
Load Magic Links
Advantage RPA API
Parade Broker TMS Integrations
Aljex Integration
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.
McLeod Capacity Creator Integration
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.
McLeod DFM Public APIs
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.
Internal Integration APIs
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.
McLeod DFM Carrier Sync
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.
Mcleod DFM Load Sync
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.
Turvo Integration
Overview: Our load integration payload processing is currently experiencing performance degradation, resulting in slower-than-usual processing speeds at certain moments during the day. This issue appears to stem from inefficiencies in the processing pipeline, causing delays despite the overall queue size remaining within normal limits. Initial analysis suggests that a recent change in processing logic introduced unintended overhead, contributing to the degradation.