Building Scalable Microservices from Scratch: My Spring Boot 3 Gradle Template (Part 1/3)In the world of modern backend development, starting a new microservices project shouldn't mean reinventing the wheel—especially when you're knee-deep in production-grade platforms like talent acquisition systems or doctor assignment workflows. That's why I've created the [spring-microservices-template](https://github.com/karanjagdish/spring-microservices-template), a lean, Gradle-powered starter kit built on Spring Boot 3. Currently, it provides a clean foundation with multi-module structure for services, shared libraries, and core configs: think pre-wired dependency management for JPA/Hibernate, REST APIs via Spring Web, and Docker-ready builds out of the box. No bloat—just the essentials to spin up your first service in minutes, inspired by my 5+ years scaling AWS-backed apps at Kickdrum. In this first part of a three-part series, I'll walk you through cloning, customizing, and running your initial microservice. Stay tuned for Part 2 on integrating LocalStack for local AWS emulation, and Part 3 on adding Prometheus/Grafana monitoring for production observability. Let's bootstrap something epic—fork it today and share your tweaks in the comments!
Supercharging Local Dev: Integrating LocalStack into My Spring Microservices Template (Part 2/3)With your Spring Boot 3 foundation from Part 1 up and running, it's time to tackle one of the biggest dev hurdles: testing AWS integrations without racking up cloud costs or waiting for deploys. In this second installment, I'll guide you through seamlessly adding LocalStack to the [spring-microservices-template](https://github.com/karanjagdish/spring-microservices-template)—emulating S3, SQS, DynamoDB, and more right on your machine via Docker Compose. Drawing from my hands-on AWS migrations and event-driven workflows at Kickdrum, we'll cover profile-based configs, Spring Cloud AWS starters, and quick wins like local SQS testing for high-throughput services. Expect code snippets for zero-config spins and tips to mimic production EKS setups offline. Get ready to iterate faster than ever—clone the updated branch and let's emulate like pros. Part 3 drops monitoring magic next!
Observability Unleashed: Adding Prometheus & Grafana Monitoring to Spring Microservices (Part 3/3)You've bootstrapped (Part 1) and emulated AWS locally (Part 2)—now ensure your microservices stay healthy in the wild with rock-solid observability. Wrapping up the series on my [spring-microservices-template](https://github.com/karanjagdish/spring-micrservices-template), this final part dives into integrating Prometheus for metrics collection and Grafana for stunning dashboards, all wired into Spring Boot 3's actuator endpoints. Inspired by my production debugging with X-Ray and Grafana at Kickdrum, we'll add Micrometer exporters, custom alerts for workflows like Temporal, and Helm charts for easy K8s deploys. Plus, tie it back to LocalStack for end-to-end tracing. Walk away with a fully monitored template ready for scale—deploy it, watch the magic, and drop your dashboard screenshots below. Thanks for following along; what's your next microservice challenge?
Karan JagdishFull-Stack Engineer | Builder of Systems, Solver of Problems
I’m passionate about sharing stories, exploring innovative ideas, and building new things. My journey blends product, design, and technology.
Over the years, I’ve developed personal projects that combine creativity with technical skills. I thrive on lifelong learning and constant growth.
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