#Jaeger Distributed Tracing System Introduction

Jaeger Distributed Tracing System Introduction
In this lecture, you will learn what are Microservices, Distributed Tracing and Observability, Tools for Distributed Tracing, Introducing Jaeger and Jaeger Features
Microservices
Microservices are being adopted more in recent years. Monolith applications are being replaced with distributed system architectures. Monitoring, tracing and observability vary from monolith to microservices. This can become often complex and time-consuming to identify root causes when requests communicate across multiple services.
Traditional tracing methods involve tracing following a request through a single application domain. Monolith to microservices tracing varies with complexity of services being distributed and ephemeral. Layers of complexity across application, infrastructure and orchestration engines added for development and troubleshooting. Increased debugging and troubleshooting costs. Data-silos and cross-team efforts required to troubleshoot issues in microservices.
Distributed Tracing and Observability
Distributed Tracing 
A technique to follow a single transaction, which often requires multiple component interactions downstream capturing timing and other metadata throughout the transaction, then reassemble information to provide a complete picture of the application’s behaviour at runtime.
Observability 
A process through which a system’s internal states can be inferred from the knowledge of its external outputs, by means of incorporating telemetry, recording instrumentation. Distributed tracing enables developers to perform:
Distributed transaction monitoring. Troubleshooting and root cause analysis. Performance and latency optimization. Service dependency analysis.
Identification of the quality and reliability of software. Distributed context propagation.
Distributed Tracing Terms in Jaeger
Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber Technologies.
It is used for monitoring and troubleshooting microservices-based distributed systems, including:
Distributed transaction monitoring
Performance and latency optimization
Root cause analysis
Service dependency analysis
Distributed context propagation
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