How Zykrr Solved Issues 30-40% Faster After Unifying Logs and APM
A fast-growing CX platform replaced noisy, disconnected monitoring with a single observability layer, enabling faster incident resolution, eliminating recurring bottlenecks, and scaling with confidence.
Results at a Glance
Logs and Metrics Lived in Different Worlds
As Zykrr's platform grew and its services became more distributed, its existing monitoring setup built around Dynatrace couldn't keep up. The team had basic tools and standalone logging, but no clear way to connect a slow transaction to the log entry that explained it.
When performance issues arose, engineers had to switch among multiple tools, manually correlate data, and piece together what happened by the time they identified the root cause, users had already felt the impact. Since application performance wasn't tied to logs, the same issues kept coming back without a clear explanation.
Key Challenges
- Basic, standalone logging with no clear link between a slow transaction and the log entry explaining it
- Engineers manually correlating data across multiple tools during every incident
- Root cause identified only after users had already felt the impact
- Recurring issues with no clear explanation, since performance data wasn't tied to logs
Unified APM and Log Monitoring
Zykrr implemented Atatus APM and Log Monitoring to bring application performance data and logs into a single observability workflow. By connecting performance traces directly to logs, the team gained complete visibility into application behavior without switching between separate monitoring tools.
With unified monitoring, engineers could trace slow requests from the user experience through backend services, databases, external dependencies, and the exact log entry associated with an issue. This reduced root cause identification time by around 35% and helped the team proactively address recurring performance problems.
Implementation Steps
- Deployed Atatus APM across distributed application services with minimal setup
- Implemented end-to-end transaction tracing across code, databases, and external calls
- Monitored slow transactions and previously hidden backend dependencies
- Centralized application and backend service logs in a single platform
- Correlated log entries directly with APM traces for faster diagnosis
- Configured performance anomaly alerts with trace context attached
- Monitored performance trends during releases and high-traffic periods
- Reduced recurring issues by 25% through earlier detection and proactive resolution
Technologies Used
Faster Resolution, Fewer Repeat Incidents
Connecting traces directly to logs removed the need for manual investigation, cutting incident resolution time and helping the team catch bottlenecks before they became recurring problems.
Key Achievements
- 30 to 40% faster incident resolution as trace-to-log correlation removed the need for manual investigation
- Around 25% reduction in recurring performance issues by catching bottlenecks early
- About 35% improvement in mean time to identify root cause (MTTI)
- Significantly lower production debugging effort, letting engineers focus on fixes instead of finding the problem
- Fewer customer-reported performance issues as problems are resolved before users notice
- More stable releases and high-traffic periods with observability that holds under pressure
"Atatus gives us the performance and log context we were missing. It has significantly improved how we troubleshoot issues and maintain reliability as we scale."