Engineer documents deploying a Rust A2A agent to AWS Lightsail

A2A — the Agent-to-Agent protocol Google introduced as a counterpart to Anthropic's MCP — is starting to accumulate practitioner tutorials, a leading indicator of real-world adoption. This walkthrough builds an A2A-speaking agent in Rust and deploys it onto AWS Lightsail, the low-cost VM tier sitting beneath EC2. The choice of Rust + Lightsail (versus Python + EC2) is itself telling: developers are reaching for performance-tier languages and budget-tier hosts, suggesting A2A agents are being prototyped as long-running services rather than one-off scripts.

The protocol context: this week saw Meta launch an MCP server for its ads platform, Anthropic ship MCP tunnels for Claude Managed Agents, and Microsoft's Rampart/Clarity slot into MCP-style integrations. A2A and MCP are increasingly viewed as complementary rather than competing — MCP for agent-to-tool, A2A for agent-to-agent — and the Rust + Lightsail tutorial shows builders are now combining them in real deployments.

The broader signal is that the agent-infrastructure ecosystem has reached the 'tutorials proliferate' phase. GLIA (proposed holographic memory layer for coding agents like Cline, Claude, Cursor — addressing session-amnesia in long-running agents), MCP servers everywhere, A2A walkthroughs on budget cloud tiers — these are the artifacts of an ecosystem where the spec wars are mostly settled and the work is in plumbing.

Watch: whether AWS introduces first-party A2A tooling for Lightsail/EC2 (a tell on whether AWS will back A2A or stay neutral), how A2A and MCP interop converges in production deployments, and whether memory layers like GLIA become as standard as vector DBs for agentic systems.