micro--go-micro
c7657f73f4
goreleaser / goreleaser (push) Has been cancelled
* test(harness): read agent plan from the scoped store
The store-scoping change moved an agent's plan from the default table
key agent/{name}/plan to its own table (database "agent", table {name},
key "plan"). The plan-delegate harness tests still read the old key and
failed with 'not found'; read through store.Scope(mem, "agent", name)
like the agent does.
* docs: orient agents-first across README, landing, and docs overview
Lead with agents (then services and flows), surface MCP + A2A as the
interop story, and frame agents as services. Landing hero and feature
grid reordered agents-first with an A2A gateway card.
* v6: module path go-micro.dev/v6, TLS secure by default, NewService
Cut v6. Three breaking changes, bundled so the major bump is paid once:
- Module path go-micro.dev/v5 -> go-micro.dev/v6 across all imports + go.mod.
- TLS verification on by default (was off). MICRO_TLS_SECURE removed;
MICRO_TLS_INSECURE=true opts out for self-signed/dev.
- micro.NewService(name, opts...) is the canonical service constructor,
symmetric with NewAgent/NewFlow; micro.New kept as a deprecated alias;
the old name-less NewService(opts...) removed. Generators emit NewService.
Also ports the JWT auth token provider in-module (go-micro.dev/v6/auth/jwt/token
on golang-jwt/jwt/v5), dropping the v5-pinned github.com/micro/plugins/v5/auth/jwt
and the deprecated dgrijalva/jwt-go.
Docs/README/landing updated to v6 and @latest; v5->v6 migration guide added;
CHANGELOG cut as [6.0.0]. Blog posts left at their historical versions.
---------
Co-authored-by: Claude <noreply@anthropic.com>
Registry Cache
Cache is a library that provides a caching layer for the go-micro registry.
If you're looking for caching in your microservices use the selector.
Features
- Caching: Caches registry lookups with configurable TTL
- Stale Cache Fallback: Returns stale cached data when registry is unavailable
- Singleflight Protection: Deduplicates concurrent requests for the same service
- Adaptive Throttling: Rate limits failed lookups to prevent cache penetration (new in v5)
Interface
// Cache is the registry cache interface
type Cache interface {
// embed the registry interface
registry.Registry
// stop the cache watcher
Stop()
}
Usage
Basic Usage
import (
"github.com/micro/go-micro/registry"
"github.com/micro/go-micro/registry/cache"
)
r := registry.NewRegistry()
cache := cache.New(r)
services, _ := cache.GetService("my.service")
Advanced Configuration
import (
"time"
"github.com/micro/go-micro/registry"
"github.com/micro/go-micro/registry/cache"
)
r := registry.NewRegistry()
// Configure cache with custom options
cache := cache.New(r,
cache.WithTTL(2*time.Minute), // Cache TTL
cache.WithMinimumRetryInterval(10*time.Second), // Throttle failed lookups
)
services, _ := cache.GetService("my.service")
Adaptive Throttling
The cache implements rate limiting on ALL cache refresh attempts (not just errors) to prevent overwhelming the registry. This protects against multiple scenarios:
- Registry failures: When etcd is down/overloaded
- Rolling deployments: When all caches expire simultaneously under high QPS
- Cache expiration storms: When many services expire at once
How It Works
- Rate limiting: Refresh attempts are throttled per-service using
MinimumRetryInterval(default 5s) - Stale cache preference: If stale cache exists (even if expired), return it instead of calling registry
- No cache fallback: If no cache exists, return
ErrNotFoundand rely on gRPC retry - Singleflight deduplication: Concurrent requests are still deduplicated
- Recovery: Throttling is reset on successful registry lookup
Example Scenarios
Scenario 1: Registry Failure with Stale Cache
cache := cache.New(etcdRegistry, cache.WithMinimumRetryInterval(10*time.Second))
// Initial lookup populates cache
services, _ := cache.GetService("api") // → Calls etcd, caches result
// Cache expires after TTL
time.Sleep(2 * time.Minute)
// Etcd fails, but we have stale cache
services, err := cache.GetService("api") // → Returns stale cache WITHOUT calling etcd
// err == nil, services contains stale data
Scenario 2: Rolling Deployment Cache Storm
// Scenario: All 1000 upstream pods watch downstream service
// Downstream does rolling deployment - last pod updated
// All 1000 upstream caches expire simultaneously
// High QPS hits the system at this moment
// First request after cache expiration
services, _ := cache.GetService("downstream") // → Calls etcd, updates lastRefreshAttempt
// Next 999 requests arrive within MinimumRetryInterval
services, _ := cache.GetService("downstream") // → Returns stale cache, NO etcd call
// Rate limiting prevents 999 stampede requests to etcd
Scenario 3: No Cache Available
// First lookup when etcd is down (no cache exists yet)
_, err := cache.GetService("new-service") // → Calls etcd, fails, records attempt time
// err != nil
// Immediate retry (< 10s later, still no cache)
_, err = cache.GetService("new-service") // → Throttled, returns ErrNotFound immediately
// err == ErrNotFound
// After MinimumRetryInterval
time.Sleep(10 * time.Second)
_, err = cache.GetService("new-service") // → Allowed to retry, calls etcd again
This prevents cache penetration scenarios where thousands of concurrent requests hammer a failing or overloaded registry.