List

Package list implements a doubly linked list. To iterate over a list (where l is a *List):

Package validator implements value validations based on struct tags. In code it is often necessary to validate that a given value is valid before using it for something. A typical example might be something like this. This is a simple enough example, but it can get significantly more complex, especially when dealing with structs. You get the idea. Package validator allows one to define valid values as struct tags when defining a new struct type. Then validating a variable of type NewUserRequest becomes trivial. Here is the list of validator functions builtin in the package. Note that there are no tests to prevent conflicting validator parameters. For instance, these fields will never be valid. It is possible to define custom validation functions by using SetValidationFunc. First, one needs to create a validation function. Then one needs to add it to the list of validation funcs and give it a "tag" name. Then it is possible to use the notzz validation tag. This will print "Field A error: value cannot be ZZ" To use parameters, it is very similar. And then the code below should print "Field A error: value cannot be ABC". As well, it is possible to overwrite builtin validation functions. And you can delete a validation function by setting it to nil. Using a non-existing validation func in a field tag will always return false and with error validate.ErrUnknownTag. Finally, package validator also provides a helper function that can be used to validate simple variables/values. In case there is a reason why one would not wish to use tag 'validate' (maybe due to a conflict with a different package), it is possible to tell the package to use a different tag. Then. SetTag is permanent. The new tag name will be used until it is again changed with a new call to SetTag. A way to temporarily use a different tag exists. You may often need to have a different set of validation rules for different situations. In all the examples above, we only used the default validator but you could create a new one and set specific rules for it. For instance, you might use the same struct to decode incoming JSON for a REST API but your needs will change when you're using it to, say, create a new instance in storage vs. when you need to change something. Maybe when creating a new user, you need to make sure all values in the struct are filled, but then you use the same struct to handle incoming requests to, say, change the password, in which case you only need the Username and the Password and don't care for the others. You might use two different validators. It is also possible to do all of that using only the default validator as long as SetTag is always called before calling validator.Validate() or you chain the with WithTag().

Package configservice provides the API client, operations, and parameter types for AWS Config. Config provides a way to keep track of the configurations of all the Amazon Web Services resources associated with your Amazon Web Services account. You can use Config to get the current and historical configurations of each Amazon Web Services resource and also to get information about the relationship between the resources. An Amazon Web Services resource can be an Amazon Compute Cloud (Amazon EC2) instance, an Elastic Block Store (EBS) volume, an elastic network Interface (ENI), or a security group. For a complete list of resources currently supported by Config, see Supported Amazon Web Services resources. You can access and manage Config through the Amazon Web Services Management Console, the Amazon Web Services Command Line Interface (Amazon Web Services CLI), the Config API, or the Amazon Web Services SDKs for Config. This reference guide contains documentation for the Config API and the Amazon Web Services CLI commands that you can use to manage Config. The Config API uses the Signature Version 4 protocol for signing requests. For more information about how to sign a request with this protocol, see Signature Version 4 Signing Process. For detailed information about Config features and their associated actions or commands, as well as how to work with Amazon Web Services Management Console, see What Is Configin the Config Developer Guide.

Package gofakeit is a random data generator written in go See the full list here https://godoc.org/github.com/brianvoe/gofakeit 80+ Functions!!!

Package appconfig provides the API client, operations, and parameter types for Amazon AppConfig. AppConfig feature flags and dynamic configurations help software builders quickly and securely adjust application behavior in production environments without full code deployments. AppConfig speeds up software release frequency, improves application resiliency, and helps you address emergent issues more quickly. With feature flags, you can gradually release new capabilities to users and measure the impact of those changes before fully deploying the new capabilities to all users. With operational flags and dynamic configurations, you can update block lists, allow lists, throttling limits, logging verbosity, and perform other operational tuning to quickly respond to issues in production environments. AppConfig is a tool in Amazon Web Services Systems Manager. Despite the fact that application configuration content can vary greatly from application to application, AppConfig supports the following use cases, which cover a broad spectrum of customer needs: Feature flags and toggles - Safely release new capabilities to your customers in a controlled environment. Instantly roll back changes if you experience a problem. Application tuning - Carefully introduce application changes while testing the impact of those changes with users in production environments. Allow list or block list - Control access to premium features or instantly block specific users without deploying new code. Centralized configuration storage - Keep your configuration data organized and consistent across all of your workloads. You can use AppConfig to deploy configuration data stored in the AppConfig hosted configuration store, Secrets Manager, Systems Manager, Parameter Store, or Amazon S3. This section provides a high-level description of how AppConfig works and how you get started. 1. Identify configuration values in code you want to manage in the cloud Before you start creating AppConfig artifacts, we recommend you identify configuration data in your code that you want to dynamically manage using AppConfig. Good examples include feature flags or toggles, allow and block lists, logging verbosity, service limits, and throttling rules, to name a few. If your configuration data already exists in the cloud, you can take advantage of AppConfig validation, deployment, and extension features to further streamline configuration data management. 2. Create an application namespace To create a namespace, you create an AppConfig artifact called an application. An application is simply an organizational construct like a folder. 3. Create environments For each AppConfig application, you define one or more environments. An environment is a logical grouping of targets, such as applications in a Beta or Production environment, Lambda functions, or containers. You can also define environments for application subcomponents, such as the Web , Mobile , and Back-end . You can configure Amazon CloudWatch alarms for each environment. The system monitors alarms during a configuration deployment. If an alarm is triggered, the system rolls back the configuration. 4. Create a configuration profile A configuration profile includes, among other things, a URI that enables AppConfig to locate your configuration data in its stored location and a profile type. AppConfig supports two configuration profile types: feature flags and freeform configurations. Feature flag configuration profiles store their data in the AppConfig hosted configuration store and the URI is simply hosted . For freeform configuration profiles, you can store your data in the AppConfig hosted configuration store or any Amazon Web Services service that integrates with AppConfig, as described in Creating a free form configuration profilein the the AppConfig User Guide. A configuration profile can also include optional validators to ensure your configuration data is syntactically and semantically correct. AppConfig performs a check using the validators when you start a deployment. If any errors are detected, the deployment rolls back to the previous configuration data. 5. Deploy configuration data When you create a new deployment, you specify the following: An application ID A configuration profile ID A configuration version An environment ID where you want to deploy the configuration data A deployment strategy ID that defines how fast you want the changes to take effect When you call the StartDeployment API action, AppConfig performs the following tasks: Retrieves the configuration data from the underlying data store by using the location URI in the configuration profile. Verifies the configuration data is syntactically and semantically correct by using the validators you specified when you created your configuration profile. Caches a copy of the data so it is ready to be retrieved by your application. This cached copy is called the deployed data. 6. Retrieve the configuration You can configure AppConfig Agent as a local host and have the agent poll AppConfig for configuration updates. The agent calls the StartConfigurationSessionand GetLatestConfiguration API actions and caches your configuration data locally. To retrieve the data, your application makes an HTTP call to the localhost server. AppConfig Agent supports several use cases, as described in Simplified retrieval methodsin the the AppConfig User Guide. If AppConfig Agent isn't supported for your use case, you can configure your application to poll AppConfig for configuration updates by directly calling the StartConfigurationSession and GetLatestConfigurationAPI actions. This reference is intended to be used with the AppConfig User Guide.