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Iris Lopez
From a developer's perspective, Key Vault APIs accept and return secret values as strings. Internally, Key Vault stores and manages secrets as sequences of octets (8-bit bytes), with a maximum size of 25k bytes each. The Key Vault service doesn't provide semantics for secrets. It merely accepts the data, encrypts it, stores it, and returns a secret identifier (id). The identifier can be used to retrieve the secret at a later time.
Key Vault also supports a contentType field for secrets. Clients may specify the content type of a secret to help interpreting the secret data when it's retrieved. The maximum length of this field is 255 characters. The suggested usage is as a hint for interpreting the secret data. For instance, an implementation may store both passwords and certificates as secrets, then use this field to differentiate. There are no predefined values.
All secrets in your Key Vault are stored encrypted. Key Vault encrypts secrets at rest with a hierarchy of encryption keys, with all keys in that hierarchy are protected by modules that are FIPS 140-2 compliant. This encryption is transparent, and requires no action from the user. The Azure Key Vault service encrypts your secrets when you add them, and decrypts them automatically when you read them.
A secret's get operation will work for not-yet-valid and expired secrets, outside the nbf / exp window. Calling a secret's get operation, for a not-yet-valid secret, can be used for test purposes. Retrieving (getting) an expired secret, can be used for recovery operations.
Access Control for secrets managed in Key Vault, is provided at the level of the Key Vault that contains those secrets. The access control policy for secrets is distinct from the access control policy for keys in the same Key Vault. Users may create one or more vaults to hold secrets, and are required to maintain scenario appropriate segmentation and management of secrets.
For more information on working with secrets, see Secret operations in the Key Vault REST API reference. For information on establishing permissions, see Vaults - Create or Update and Vaults - Update Access Policy.
Facilities that wish to claim trade secrets for chemicals reported under the Emergency Planning and Community Right-to-Know Act (EPCRA) are required to submit a substantiation to justify the claim of trade secrecy as specified in the regulations at 40 CFR part 350. At the time an EPCRA report is submitted, the submitter is required to provide responses to the six questions on the substantiation form, as well as certify the assertions made in the claim. EPA requires that the information in a trade secret substantiation be completed following the instructions and using the substantiation form provided below.
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Secrets are stored in an encrypted vault. When you set a secret through flyctl, it sends the secret value through our API, which writes to the vault for your specific Fly App. The API servers can only encrypt; they cannot decrypt secret values. Secret values are never logged.
When we launch a Machine for your app, we issue a temporary auth token to the host it runs on. The Fly.io agent on the host uses this token to decrypt your app secrets and inject them into your Machine as environment variables at boot time. When you destroy your Machines, the host environment no longer has access to your app secrets.
Warning: flyctl and our API servers are designed to prevent user secrets from being extracted. However, secrets are available to your application code as environment variables. People with deploy access can deploy code that reads secret values and prints them to logs, or writes them to unencrypted data stores.
The fly secrets set command sets one or more app secrets, then updates each Machine belonging to that Fly App. This involves a restart of the Machine and a consequent reset of its ephemeral file system.
Note: You can update a machine by triggering a new release with fly deploy. Alternatively, the fly secrets deploy command will redeploy the current release with the staged secrets. This is helpful if you want to skip rebuilding the image from source code.
The most important benefit of SDS is to simplify the certificate management. Without this feature, in k8s deployment, certificates must be created as secrets and mounted into the proxy containers. If certificates are expired, the secrets need to be updated and the proxy containers need to be re-deployed. With SDS, a central SDS server will push certificates to all Envoy instances. If certificates are expired, the server just pushes new certificates to Envoy instances, Envoy will use the new ones right away without re-deployment.
SdsSecretConfig is used to specify the secret. Its field name is a required field. If its sds_config field is empty, the name field specifies the secret in the bootstrap static_resource secrets. Otherwise, it specifies the SDS server as ConfigSource. Only gRPC is supported for the SDS service so its api_config_source must specify a grpc_service.
SdsSecretConfig is used in two fields in CommonTlsContext. The first field is tls_certificate_sds_secret_configs to use SDS to get TlsCertificate. The second field is validation_context_sds_secret_config to use SDS to get CertificateValidationContext.
By default, directories containing secrets are watched for filesystem move events. For example, akey or trusted CA certificates at /foo/bar/baz/cert.pem will be watched at /foo/bar/baz.Explicit control over the watched directory is possible by specifying a watched_directory path inTlsCertificate andCertificateValidationContext.This allows watches to be established at path predecessors, e.g. /foo/bar; this capability isuseful when implementing common key rotation schemes.
In this example, certificates are specified in the bootstrap static_resource, they are not fetched remotely. In the config, secrets static resource has 3 secrets: client_cert, server_cert and validation_context. In the cluster config, one of hosts uses client_cert in its tls_certificate_sds_secret_configs. In the listeners section, one of them uses server_cert in its tls_certificate_sds_secret_configs and validation_context for its validation_context_sds_secret_config.
For illustration, above example uses three methods to access the SDS server. A gRPC SDS server can be reached by Unix Domain Socket path /tmp/uds_path and 127.0.0.1:8234 by mTLS. It provides three secrets, client_cert, server_cert and validation_context. In the config, cluster example_cluster certificate client_cert is configured to use Google gRPC with UDS to talk to the SDS server. The Listener needs to fetch server_cert and validation_context from the SDS server. The server_cert is using Envoy gRPC with cluster sds_server_mtls configured with client certificate to use mTLS to talk to SDS server. The validate_context is using Envoy gRPC with cluster sds_server_uds configured with UDS path to talk to the SDS server.
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