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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Rotating a secret in AWS Secrets Manager does not automatically update the copy already held by a running Go process. To avoid a restart, coordinate two changes: rotate the credential at the backend, then have the application retrieve the new value and safely reconfigure the clients that use it. You can orchestrate retrieval yourself, use AWS’s Go caching component, or use Mamori’s documented Watch workflow to react to changes at runtime.
What “rotation without a restart” requires
AWS defines rotation as periodically updating a secret and its corresponding credential in a database or service. AWS supports managed rotation for selected services, managed external rotation for supported partners, and Lambda-based rotation for other secret types. The rotation changes the backend credential; it does not push the new value into every running application process. AWS’s rotation guide explains the available approaches.
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Your Go service therefore needs its own refresh path. It must retrieve the updated value, validate it, and arrange for dependent resources—such as a database connection pool—to use the new credential. Updating a configuration variable alone does not change credentials on connections that are already open.
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Choose how the Go process will refresh the secret
| Approach | Refresh control | Implementation and API trade-offs | How consumers adopt the value |
|---|---|---|---|
| Direct AWS SDK retrieval | Your application decides when to call GetSecretValue or BatchGetSecretValue. |
Gives you explicit orchestration, but you must implement refresh timing, error handling, and any caching. Frequent calls can add latency and API cost; AWS generally recommends client-side caching. See the Go SDK retrieval guide. | Your code must validate the retrieved value and explicitly update or replace dependent clients. |
| AWS Go caching component | Refresh is governed by a configurable cache interval. The documented default is one hour. | Less cache-management code than direct retrieval, but freshness depends on the interval. AWS states: “The cache implementation does not include cache invalidation.” See the Go client-side caching documentation. | The application still needs to notice or read the refreshed value and reconfigure any clients that use it. |
Mamori Watch |
A watch and change callback provide a path for reacting to updates at runtime. | Requires provider setup and integration with the service’s configuration flow. The vendor documents an aws-sm:// source and typed snapshots; assess how that fits your application. |
Your callback can validate the new configuration and initiate consumer reconfiguration. Mamori documents runtime reconciliation without a process restart; this is vendor-documented behavior, not an independent performance test. See the quick start and introduction. |
Build a safe refresh and reconfiguration flow
- Configure backend rotation. Set up the appropriate Secrets Manager rotation method for the secret and its service. Rotation cadence and mechanism are separate from the Go process’s refresh cadence.
- Grant the workload least-privilege access. For AWS’s Go caching component, the documented permissions include
secretsmanager:DescribeSecretandsecretsmanager:GetSecretValue. Scope access to the secrets the workload needs. Review AWS Secrets Manager IAM policies and the cache documentation; AWS notes that the cache is not security hardened, so evaluate the exposure of secrets held in process memory. - Load and parse the current value. Retrieve the secret through the selected mechanism and parse it into a candidate configuration. Do not publish partially parsed or invalid settings to live consumers.
- Validate before switching. Check required fields and, where practical, verify that a new client can authenticate with the candidate credential. Keep the active configuration unchanged if validation fails.
- Reconfigure dependent resources. Build a replacement database pool or other client with the candidate credential, then switch new work to it. Drain or close the old resource according to the client’s lifecycle and the application’s availability needs. Secret refresh alone does not replace established connections.
- Handle errors without discarding a working state. If retrieval, validation, or client creation fails, log the failure without exposing the secret, retain the last known-good configuration where safe, and retry with controlled backoff. Alert on prolonged refresh failures so the service does not silently run indefinitely with stale credentials.
Plan for the rotation window
Refresh timing must fit the rotation process and the tolerance of the downstream service. A one-hour cache default is not a one-hour rotation interval, and it does not promise immediate pickup; configure the interval to match your freshness and API-call requirements. With AWS managed rotation, applications can retrieve the previous credential during rotation. AWS recommends least-privilege application database users and describes alternating users as a high-availability strategy. Design the consumer to tolerate that transition window, validate credentials, and retry appropriately. See AWS’s managed rotation documentation.
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Where Mamori fits
Mamori’s documentation describes watching an AWS Secrets Manager source using an aws-sm:// URI and receiving typed snapshots and change callbacks through Watch. That provides an application with a runtime reconciliation hook, so the service can respond to a changed secret without restarting. The callback still needs application-specific logic: validate the new configuration, construct or rotate dependent resources, and decide what to do if those steps fail. Treat the watch as the change-notification and reconciliation mechanism, not as proof that every database pool or client will update itself.
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Practical decision
- Choose direct SDK calls when refresh timing and orchestration must be explicit and you are prepared to manage caching, retries, and API usage.
- Choose AWS’s Go caching component for a straightforward local cache when its configurable refresh interval fits your freshness needs and your application can handle consumer reconfiguration.
- Consider Mamori’s
Watchapproach when typed runtime change handling is useful and you can connect its callbacks to a safe, application-owned client replacement process.
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