Let's look at how to integrate Redis with message brokers by leveraging Redis as a fast in-memory data store. Redis can work as both a message broker and a data store.
API management as code is a declarative approach to managing APIs at scale, providing benefits like automation, consistency, collaboration, and scalability.
Nginx in microservices faces scalability, configuration, and automation challenges. Use Ansible, Prometheus, and CI/CD for better performance and management.
Micronaut is efficient, lightweight, and fast, making it a strong alternative, but Spring Boot remains dominant due to its robust, mature ecosystem and community support.
Efficient multimodal data processing using GPU-accelerated pipelines, neural networks, and hybrid storage for scalable, low-latency AI-driven applications.
Build a Rate-Professor AI assistant with OpenAI, Pinecone, and Next.js, with real-time chat and context-aware responses. Deploy easily on Vercel or Netlify.
Using a message broker as a router to handle requests between your apps and LLMs simplifies integration, improves reliability, and scales easily for AI-driven apps.
API Mesh simplifies API management across distributed systems by unifying orchestration, enhancing security, optimizing routing, and improving scalability.
A BFF is a back-end service tailored to a specific user interface or experience. Instead of using one API for all platforms, each client has its own dedicated backend.
This article discusses using a Kubernetes sidecar for container checkpointing: build, push, deploy to K8s, and trigger checkpoints via API for state management.
Enterprise dev isn’t just coding — it’s chaos management. From legacy systems to scaling for 80k users, learn to build apps that solve problems without breaking.
Optimize database interactions in middleware with caching, parallelism, write batching, and connection pooling to boost performance and scalability effectively.