deploy: update prod to v1.7.4 (#1226)
## Summary Promotes [v1.7.4](https://github.com/modelcontextprotocol/registry/releases/tag/v1.7.4) (#1225) to production: registry pod memory request `256Mi → 512Mi`, limit `512Mi → 1Gi`. ## Why #1221 doubled pgxpool `MaxConns` 30→60 per pod without bumping the registry pod memory limit. pgxpool keeps per-connection state in the Go process (prepared statement cache, scratch buffers, row iteration state) so peak per-pod memory shifted from ~330 MB to ~450 MB against the 512 MiB limit. Pod `tx49f` was OOMKilled at 17:01 UTC on 2026-04-29. ## Validation so far - Staging deployed cleanly via `deploy-staging.yml` after #1225 merged - Both staging pods running with `req=512Mi limit=1Gi` ✓ - Rolling update was clean — no failed health checks during the transition - Both pods spread across nodes (q716 + 7exo) ## Deployment **Zero downtime** — Deployment template change only, rolling update with `maxSurge: 1, maxUnavailable: 0`. No PG involvement (no `max_connections` change, no shared_preload_libraries change). ## Test plan - [x] v1.7.4 release built and pushed (`ghcr.io/modelcontextprotocol/registry:1.7.4`) - [x] Staging deployed cleanly with new limits - [ ] Prod Pulumi run applies cleanly; rolling update completes - [ ] Prod pods come up with `req=512Mi limit=1Gi` - [ ] After 24h: no OOMKills on either pod, peak memory stays under ~600 MB 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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config:
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mcp-registry:environment: prod
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mcp-registry:provider: gcp
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mcp-registry:imageTag: 1.7.3 # Set specific image tag for production (change this to deploy different versions)
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mcp-registry:imageTag: 1.7.4 # Set specific image tag for production (change this to deploy different versions)
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gcp:project: mcp-registry-prod
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mcp-registry:githubClientId: Iv23liUydBbI7Z2Q9bOZ
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mcp-registry:githubClientSecret:
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