👀 Views: 41 💬 Answers: 1 📅 Created: 2025-09-07

microservices linux spring-boot nginx redis java

I'm updating my dependencies and I've encountered a strange issue with I'm working on a personal project and I recently switched to I'm stuck on something that should probably be simple. I'm relatively new to this, so bear with me. Currently developing a microservices architecture for a mobile application, I need to ensure our backend services are mobile-compatible. We utilize the Spring Boot framework on Ubuntu 22.04, and the API Gateway orchestrates requests to various services. One of the main challenges is ensuring that our responses are optimized for mobile devices. To achieve this, I’ve been experimenting with different content negotiation strategies, specifically using the `Accept` header to serve either JSON or a more compact format like Protocol Buffers. Here’s a snippet of how our controller handles this: ```java @GetMapping(value = "/api/data", produces = {"application/json", "application/x-protobuf"}) public ResponseEntity<?> getData(HttpServletRequest request) { String acceptHeader = request.getHeader("Accept"); if (acceptHeader.contains("application/x-protobuf")) { return ResponseEntity.ok(dataService.getProtobufData()); } return ResponseEntity.ok(dataService.getJsonData()); } ``` This controller checks the `Accept` header and serves the appropriate response format. However, performance benchmarks suggest that the response time increases when serving larger payloads. I’ve also attempted to implement caching using Redis, with the goal of reducing latency for frequently accessed data. Here’s a basic implementation: ```java @Cacheable(value = "dataCache") public List<Data> getCachedData() { return dataRepository.findAll(); } ``` After profiling the application, it seems like our Redis configuration on Linux might not be optimal. I’ve set up Redis to run as a systemd service, but occasionally it fails to start properly after a reboot, throwing a `Redis could not be started` error. The service file looks like this: ```ini [Unit] Description=Redis In-Memory Data Store After=network.target [Service] ExecStart=/usr/bin/redis-server /etc/redis/redis.conf ExecStop=/usr/bin/redis-cli shutdown User=redis Group=redis [Install] WantedBy=multi-user.target ``` I’ve been trying various configurations to resolve this, but the `network.target` dependency sometimes causes a race condition. Any best practices for ensuring Redis starts reliably on boot? Moreover, the API Gateway sometimes struggles with handling load under mobile traffic, leading to timeouts. Do you have recommendations for optimizing the performance of our Nginx API Gateway, particularly when configured to reverse proxy to multiple backend services? I’m eager to learn about effective caching strategies or load balancing configurations that have worked well for similar setups. Any insights or resources would be greatly appreciated! For context: I'm using Java on Ubuntu. Has anyone else encountered this? The project is a service built with Java. I'm developing on Windows 10 with Java. Any help would be greatly appreciated! I'm working with Java in a Docker container on Ubuntu 20.04. Is there a better approach?