Complete Logging Pipeline for Microservices | System Design Interview
🚀 In this episode of Zero To Architect, we design a complete
production-grade logging pipeline from scratch — Spring Boot,
Fluent Bit, Elasticsearch, Prometheus, and Grafana — all running
locally with a single Docker Compose File.
This pipeline is completely framework agnostic. We use Spring Boot
here, but the same setup works with Python, Node.js, C#, Go, or
any language that can write to a TCP socket.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⏱ CHAPTERS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
00:00 Intro — Logging Pipeline Design & Architecture
00:18 Why Fluent Bit — Reliable Logging & Architectural Benefits
05:10 Complete Logging Flow Explained
07:13 Live Demo — Code & Browser in Action
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔗 LinkedIn
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
/ tanvir-ahmed-40150b36
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🛠 TECH STACK IN THIS EPISODE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Spring Boot 3.2 + Gradle
• Fluent Bit 3.0
• Elasticsearch 8.12
• Prometheus 2.50
• Grafana 10.3
• Docker Compose
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📌 WHAT YOU WILL LEARN
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Why Fluent Bit instead of sending logs directly to Elasticsearch
✅ How the full logging pipeline works end-to-end
✅ Zero log loss with disk buffering
✅ Central log enrichment with record_modifier filter
✅ Keyword field mapping to fix Grafana Fielddata errors
✅ Prometheus metrics from Fluent Bit out of the box
✅ Sidecar pattern vs DaemonSet in Kubernetes
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💼 GREAT FOR INTERVIEWS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Understanding how a logging pipeline works end-to-end is one of
the most common system design topics in backend and DevOps
interviews. After watching this episode, you will be able to
confidently answer questions like:
→ How would you design a logging pipeline for microservices?
→ How do you ensure zero log loss in production?
→ What is the difference between Fluent Bit and Fluentd?
→ How does structured logging work with Elasticsearch?
→ How do you observe your logging pipeline with Prometheus?
This knowledge directly applies to roles in Backend Engineering,
DevOps, Platform Engineering, and Site Reliability Engineering.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔔 If you found this useful — like, subscribe, and drop a comment
telling me what to cover next. New episode every week.
#FluentBit #SpringBoot #Observability #Logging #Docker
#Elasticsearch #Grafana #Prometheus #Kubernetes #ZeroToArchitect
#SoftwareArchitecture #BackendDevelopment #DevOps #Java
#SystemDesign #interviewprep
© 2026 Zero To Architect — Tanvir Ahmed. All rights reserved.
Unauthorised reproduction or distribution is prohibited.