Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Learn practical criteria for decomposing a monolithic AI agent into microservices, including how to identify service boundaries, choose communication patterns, and execute a safe migration without downtime.
Design an API gateway for AI agent microservices that handles intelligent routing, authentication, and rate limiting while keeping backend services focused on their core responsibilities.
Implement event-driven communication between AI agent microservices using Kafka, RabbitMQ, and NATS. Learn event schema design, pub/sub patterns, event sourcing, and exactly-once delivery semantics.
Compare gRPC and REST for inter-service communication in AI agent architectures. Understand protobuf schemas, streaming capabilities, code generation, and when to choose each protocol.
Implement service discovery for AI agent microservices using Kubernetes DNS, Consul, and Eureka. Learn health checking, load balancing, and failover strategies that keep agent systems resilient.
Implement distributed tracing across AI agent microservices using OpenTelemetry and Jaeger. Learn trace propagation, span design, context injection, and how to visualize end-to-end agent request flows.
Implement the database-per-service pattern for AI agent microservices with data ownership boundaries, eventual consistency through sagas, and API composition for cross-service queries.
Implement the sidecar pattern to add consistent observability to AI agent microservices without modifying application code. Learn Envoy proxy configuration, log collection, and metric export.
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