Cloud Run deploys containerised workloads as serverless services on Google Cloud. Articles cover Cloud Run deployment patterns for multi-agent AI, A2A endpoint exposure, and the operational practices for running Go services on Cloud Run with predictable cold-start behaviour.
2 posts tagged with cloud run. ← All posts
Running agents on Cloud Run, exposing via A2A, and wiring into production systems.
Deploy Microsoft Agent Framework multi-agent systems on Cloud Run with A2A agent-to-agent communication, autoscaling, load balancing, and production observability dashboards.
100K+ votes, 10K+ concurrent users during a live AFL Brownlow Medal broadcast. The architecture: Go on Cloud Run, GraphQL + gRPC behind a CDN, vote integrity through Cloud KMS + Security Command Center. Notes on what makes a live-broadcast load shape unusual.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.