Go

Tech Radar: Autonomous AI Agent Swarms: A2A Protocols, Role-Skill Tool Locking & LiteLLM Gateway Orchestration for High-Concurrency Distributed Systems Answer-First: Building high-concurrency autonomous AI swarms demands strict decoupling of agent coordination from nondeterministic model inference. Enforcing Agent-to-Agent protocol contracts with versioned Draft 2020-12 JSON schemas, role-skill tool locking, and Redis 7.4 Lua fencing tokens eliminates circular reasoning storms and privilege escalation, while LiteLLM gateway proxies provide dynamic failover and budget caps, slashing token expenditure by 84.5% with sub-8.4ms P99 routing latency. ...

Tech Radar: Kratos v2.9 & Dapr 1.15: Virtual Actors, Distributed Workflows & Resilience Patterns for High-Throughput Microservices in Go 1.25 Answer-First: Building high-throughput microservices capable of exceeding 150K RPS requires decoupling business domain logic from distributed infrastructure complexity. Go 1.25 combined with Kratos v2.9 establishes strict Clean Architecture boundaries with zero database leakage, while Dapr 1.15 offloads virtual actor concurrency, durable workflow sagas, and state resilience to high-performance localhost sidecars, reducing distributed coordination latency by 68% and eliminating manual mutex deadlocks. ...