| name | temporal-golang-pro |
| description | Use when building durable distributed systems with Temporal Go SDK. Covers deterministic workflow rules, mTLS worker configs, and advanced patterns. |
| risk | safe |
| source | self |
| date_added | 2026-02-27 |
Temporal Go SDK (temporal-golang-pro)
Overview
Expert-level guide for building resilient, scalable, and deterministic distributed systems using the Temporal Go SDK. This skill transforms vague orchestration requirements into production-grade Go implementations, focusing on durable execution, strict determinism, and enterprise-scale worker configuration.
When to Use This Skill
- Designing Distributed Systems: When building microservices that require durable state and reliable orchestration.
- Implementing Complex Workflows: Using the Go SDK to handle long-running processes (days/months) or complex Saga patterns.
- Optimizing Performance: When workers need fine-tuned concurrency, mTLS security, or custom interceptors.
- Ensuring Reliability: Implementing idempotent activities, graceful error handling, and sophisticated retry policies.
- Maintenance & Evolution: Versioning running workflows or performing zero-downtime worker updates.
Do not use this skill when
- Using Temporal with other SDKs (Python, Java, TypeScript) - refer to their specific
-pro skills.
- The task is a simple request/response without durability or coordination needs.
- High-level design without implementation (use
workflow-orchestration-patterns).
Step-by-Step Guide
- Gather Context: Proactively ask for:
- Target Temporal Cluster (Cloud vs. Self-hosted) and Namespace.
- Task Queue names and expected throughput.
- Security requirements (mTLS paths, authentication).
- Failure modes and desired retry/timeout policies.
- Verify Determinism: Before suggesting workflow code, verify against these 5 Rules:
- No native Go concurrency (goroutines).
- No native time (
time.Now, time.Sleep).
- No non-deterministic map iteration (must sort keys).
- No direct external I/O or network calls.
- No non-deterministic random numbers.
- Implement Incrementally: Start with shared Protobuf/Data classes, then Activities, then Workflows, and finally Workers.
- Leverage Resources: If the implementation requires advanced patterns (Sagas, Interceptors, Replay Testing), explicitly refer to the implementation playbook and testing strategies.
Capabilities
Go SDK Implementation
- Worker Management: Deep knowledge of
worker.Options, including MaxConcurrentActivityTaskPollers, WorkerStopTimeout, and StickyScheduleToStartTimeout.
- Interceptors: Implementing Client, Worker, and Workflow interceptors for cross-cutting concerns (logging, tracing, auth).
- Custom Data Converters: Integrating Protobuf, encrypted payloads, or custom JSON marshaling.
Advanced Workflow Patterns
- Durable Concurrency: Using
workflow.Go, workflow.Channel, and workflow.Selector instead of native primitives.
- Versioning: Implementing safe code evolution using
workflow.GetVersion and workflow.GetReplaySafeLogger.
- Large-scale Processing: Pattern for
ContinueAsNew to manage history size limits (defaults: 50MB or 50K events).
- Child Workflows: Managing lifecycle, cancellation, and parent-child signal propagation.
Testing & Observability
- Testsuite Mastery: Using
WorkflowTestSuite for unit and functional testing with deterministic time control.
- Mocking: Sophisticated activity and child workflow mocking strategies.
- Replay Testing: Validating code changes against production event histories.
- Metrics: Configuring Prometheus/OpenTelemetry exporters for worker performance tracking.
Examples
Example 1: Versioned Workflow (Deterministic)
func SubscriptionWorkflow(ctx workflow.Context, userID string) error {
v := workflow.GetVersion(ctx, "billing_logic", workflow.DefaultVersion, 2)
for i := 0; i < 12; i++ {
ao := workflow.ActivityOptions{
StartToCloseTimeout: 5 * time.Minute,
RetryPolicy: &temporal.RetryPolicy{MaximumAttempts: 3},
}
ctx = workflow.WithActivityOptions(ctx, ao)
err := workflow.ExecuteActivity(ctx, ChargePaymentActivity, userID).Get(ctx, nil)
if err != nil {
workflow.GetLogger(ctx).Error("Payment failed", "Error", err)
return err
}
sleepDuration := 30 * 24 * time.Hour
if v >= 2 {
sleepDuration = 28 * 24 * time.Hour
}
if err := workflow.Sleep(ctx, sleepDuration); err != nil {
return err
}
}
return nil
}
Example 2: Full mTLS Worker Setup
func RunSecureWorker() error {
cert, err := tls.LoadX509KeyPair("client.pem", "client.key")
if err != nil {
return fmt.Errorf("failed to load client keys: %w", err)
}
caPem, err := os.ReadFile("ca.pem")
if err != nil {
return fmt.Errorf("failed to read CA cert: %w", err)
}
certPool := x509.NewCertPool()
if !certPool.AppendCertsFromPEM(caPem) {
return fmt.Errorf("failed to parse CA cert")
}
c, err := client.Dial(client.Options{
HostPort: "temporal.example.com:7233",
Namespace: "production",
ConnectionOptions: client.ConnectionOptions{
TLS: &tls.Config{
Certificates: []tls.Certificate{cert},
RootCAs: certPool,
},
},
})
if err != nil {
return fmt.Errorf("failed to dial temporal: %w", err)
}
defer c.Close()
w := worker.New(c, "payment-queue", worker.Options{})
w.RegisterWorkflow(SubscriptionWorkflow)
if err := w.Run(worker.InterruptCh()); err != nil {
return fmt.Errorf("worker run failed: %w", err)
}
return nil
}
Example 3: Selector & Signal Integration
func ApprovalWorkflow(ctx workflow.Context) (string, error) {
var approved bool
signalCh := workflow.GetSignalChannel(ctx, "approval-signal")
s := workflow.NewSelector(ctx)
s.AddReceive(signalCh, func(c workflow.ReceiveChannel, _ bool) {
c.Receive(ctx, &approved)
})
s.AddReceive(workflow.NewTimer(ctx, 72*time.Hour).GetChannel(), func(c workflow.ReceiveChannel, _ bool) {
approved = false
})
s.Select(ctx)
if !approved {
return "rejected", nil
}
return "approved", nil
}
Best Practices
- โ
Do: Always handle errors from
ExecuteActivity and client.Dial.
- โ
Do: Use
workflow.Go and workflow.Channel for concurrency.
- โ
Do: Sort map keys before iteration to maintain determinism.
- โ
Do: Use
activity.RecordHeartbeat for activities lasting > 1 minute.
- โ
Do: Test logic compatibility using
replayer.ReplayWorkflowHistoryFromJSON.
- โ Don't: Swallow errors with
_ or log.Fatal in production workers.
- โ Don't: Perform direct Network/Disk I/O inside a Workflow function.
- โ Don't: Rely on native
time.Now() or rand.Int().
- โ Don't: Apply this to simple cron jobs that don't require durability.
Troubleshooting
- Panic: Determinism Mismatch: Usually caused by logic changes without
workflow.GetVersion or non-deterministic code (e.g., native maps).
- Error: History Size Exceeded: History limit reached (default 50K events). Ensure
ContinueAsNew is implemented.
- Worker Hang: Check
WorkerStopTimeout and ensure all activities handle context cancellation.
Limitations
- Does not cover Temporal Cloud UI navigation or TLS certificate provisioning workflows.
- Does not cover Temporal Java, Python, or TypeScript SDKs; refer to their dedicated
-pro skills.
- Assumes Temporal Server v1.20+ and Go SDK v1.25+; older SDK versions may have different APIs.
- Does not cover experimental Temporal features (e.g., Nexus, Multi-cluster Replication).
- Does not address global namespace configuration or multi-region failover setup.
- Does not cover Temporal Worker versioning via the
worker-versioning feature flag (experimental).
Resources
Related Skills
grpc-golang - Internal transport protocol and Protobuf design.
golang-pro - General Go performance tuning and advanced syntax.
workflow-orchestration-patterns - Language-agnostic orchestration strategy.