This article demonstrates how we can run vLLM on Kubernetes for a centralized LLM serving engine that is production-ready and can be used by multiple applications.
From database bottlenecks to lightning-fast APIs, improve your app’s performance by implementing caching in Spring Boot with Redis and ElastiCache for microservices.
Kubernetes growth brings cluster and tool sprawl, driving complexity, cost, and security risks. Learn about emerging solutions like platform engineering and AI.
Replaced Redis rate limiter with Cloudflare Durable Objects, achieving 5ms response times (vs 150ms), 70% cost savings, and global edge performance at 500+ req/sec.
Learn about the architecture and design for building a scalable end-to-end product that can integrate front-end apps to provide a cart and payment services.
Integrated caching in Consul greatly improved SCM config delivery speed, using goroutines and checksums to reduce load, though deployment latency initially increased.
AI can accelerate development, but without guidance, it risks deepening architectural debt — with solid context and prompts, it can help strengthen architecture.
Learn how we use Redis to scale MQTT session persistence in TBMQ — replacing PostgreSQL and improving performance with Lua scripts and the Lettuce async client.
This article introduces HashiCorp Consul, a service registry and discovery tool that integrates well with Spring Boot and supports reactive programming.
AI helps organizations using microservices maintain data integrity during migrations by detecting anomalies, validating data automatically, and reducing manual errors.
AWS offers six distinct Kubernetes deployment options. Your choice should align with your operational preferences, existing investments, and expertise.