Description
Our Application Tracing Setup provides deep observability into microservice-based or distributed systems using OpenTelemetry SDKs for telemetry collection and Jaeger or Tempo for tracing and visualization. We help you trace every request—from user interface to backend systems—identifying where latency, bottlenecks, and failures occur. Tracing spans and context propagation are configured for frameworks like Spring Boot, Node.js, .NET, Python, and Go, capturing metadata such as service name, method, response time, and status. This setup supports root cause analysis, SLA validation, service dependency mapping, and performance optimization. Integrations with Grafana, Zipkin, or cloud-native observability platforms like AWS X-Ray and GCP Cloud Trace are available. For high-volume systems, we implement sampling, aggregation, and secure ingestion pipelines using OTLP and gRPC. Tracing is critical for incident response, debugging, and improving user experience by pinpointing latency sources across services and APIs.
Oluwabunmi –
The application tracing setup using OpenTelemetry and Jaeger has provided invaluable insights into our system’s performance. We can now easily pinpoint bottlenecks and understand the flow of requests across our services, leading to faster troubleshooting and improved overall efficiency. This has significantly enhanced our ability to monitor and maintain a healthy, responsive application environment, allowing us to deliver a better experience for our users.
Fatima –
The application tracing setup with OpenTelemetry and Jaeger has provided us with invaluable insights into our system’s performance. We can now easily visualize request flows, pinpoint latency bottlenecks, and understand how our services interact, leading to faster issue resolution and a more reliable user experience. This has significantly improved our team’s efficiency and the overall quality of our software.
Awawu –
The application tracing setup using OpenTelemetry and Jaeger has been invaluable in providing deep visibility into our complex microservices architecture. Identifying bottlenecks and performance issues is now significantly easier, allowing us to proactively address problems and optimize our system for improved responsiveness and reliability. The detailed insights into request flows have streamlined our debugging process and empowered our teams to collaborate more effectively.
Saheed –
The application tracing setup with OpenTelemetry and Jaeger has been incredibly valuable. We now have much better visibility into the performance of our distributed system and can quickly identify and resolve bottlenecks. The team was knowledgeable, efficient, and a pleasure to work with, providing a solution that’s significantly improved our monitoring capabilities and sped up our troubleshooting process.