Easily visualize the source of latency within a complex network of interconnected microservices. Start with an overview of application performance across your services, and quickly drill into individual transaction to diagnose the root cause of issues.
Microservices architecture is hard to grasp at scale. Gain a system-wide view to:
Elasticsearch is Jaeger’s recommended backend. But it’s a pain to maintain the open-source at scale. Let us manage it for you
Immediately identify high-priority production incidents on your favorite notification system.
“Distributed Tracing allows our team to trace incoming request flow through our application. This gives us more information about the latency of the services along the request path so that we can understand the root cause of bottlenecks and failures and collect data for future debugging and analysis.”
Distributed tracing is a core capability within Application Performance Monitoring (APM). APM provides a more holistic view of your application performance, while distributed tracing makes it easy to analyze the performance of individual requests.
Jaeger and Zipkin are two popular choices for distributed tracing. The overall architecture is similar for both, and they both are open source tracing tools. While Zipkin is an older, more mature tool, Jaeger is faster and more flexible. Jaeger is also more performant and much easier to scale. Learn more about the differences between Jaeger and Zipkin.
Service performance monitoring is a way of assessing the health and performance of application services on cloud environments by tracking metrics that indicate response time, error rates, and other performance indicators. We believe it’s an essential component to getting full-scale observability of your platform by combining logs, metrics and distributed tracing to produce a bird’s eye view of system services’ health.
Yes, the Logz.io platform natively integrates with OpenTelemetry.