Distributed tracing is becoming a critical component of any application's performance monitoring stack. However, setting it up in-house is an arduous task, and that's why many companies prefer outside tools. Jaeger and Zipkin are two popular open-source projects used for end-to-end distributed tracing. Let us explore their key differences in this article.
13 posts tagged with "Jaeger"View All Tags
Jaeger and OpenTracing - Key concepts, use-cases and alternatives
Jaeger and OpenTracing are both open-source projects. Jaeger was originally built by teams at Uber and then open-sourced. The OpenTracing project was also started by teams at Uber, and hence they are compatible with each other. While Jaeger is an end-to-end distributed tracing tool, OpenTracing is a set of APIs and libraries that can be used to instrument your application.
Using Jaeger for your microservices
Jaeger is a popular open-source tool used for distributed tracing in a microservice architecture. In a microservice architecture, a user request or transaction can travel across hundreds of services before serving what a user wants. Distributed tracing helps to track the performance of a transaction across multiple services.
Jaeger vs SigNoz - Taking distributed tracing to the next level
Are you thinking of using Jaeger as a distributed tracing tool? What if there is a better alternative that does both distributed traces and metrics monitoring so that your engineering team does not have to use multiple tools.
OpenTelemetry and Jaeger | Key concepts, features, and differences
OpenTelemetry and Jaeger are both open-source projects under Cloud Native Computing Foundation. In this article, let us understand the key concepts involved in both projects, their features, and their differences.
Jaeger distributed tracing - complete guide
Distributed tracing has become critical for application performance monitoring in microservice-based architecture. Jaeger is a popular open-source tool used for distributed tracing. With distributed tracing, engineering teams get a central overview of how user requests perform across multiple services.
Jaeger vs Tempo - key features, differences, and alternatives
Both Grafana Tempo and Jaeger are tools aimed at distributed tracing for microservice architecture. Jaeger was released as an open-source project by Uber in 2015, while Tempo is a newer product announced in October 2020.
DataDog vs Jaeger - key features, differences and alternatives
Both DataDog and Jaeger are tools used to monitor application performance. The difference lies in what they monitor and terms of usage. Jaeger is an open-source tool focused on distributed tracing of requests in a microservice architecture. While DataDog is a SaaS APM vendor covering most monitoring needs of an application.
AWS X-Ray vs Jaeger - key features, differences and alternatives
Both AWS X-Ray and Jaeger are distributed tracing tools used for performance monitoring in a microservices architecture. Jaeger was originally built by teams at Uber and then open-sourced in 2015. On the other hand, AWS X-Ray is a distributed tracing tool provided by AWS specifically focused on distributed tracing for applications using Amazon Cloud Services.
Jaeger vs Prometheus - Key differences, use-cases and alternatives
Both Jaeger and Prometheus are popular open-source application performance monitoring tools. While Jaeger is an end-to-end distributed tracing tool, Prometheus is used as a time-series database for monitoring metrics. Let's dive in to explore their key features and differences.