also removed the notion of tags from the redshift security group and
parameter group documentation until that has been implemented
Redshift Cluster CRUD and acceptance tests
Removing the Acceptance test for the Cluster Updates. You cannot delete
a cluster immediately after performing an operation on it. We would need
to add a lot of retry logic to the system to get this test to work
Adding some schema validation for RedShift cluster
Adding the last of the pieces of a first draft of the Redshift work - this is the documentation
Changed the aws_redshift_security_group and aws_redshift_parameter_group
to remove the tags from the schema. Tags are a little bit more
complicated than originally though - I will revisit this later
Then added the schema, CRUD functionality and basic acceptance tests for
aws_redshift_subnet_group
Adding an acceptance test for the Update of subnet_ids in AWS Redshift Subnet Group
A "Layer" is a particular service that forms part of the infrastructure for
a set of applications. Some layers are application servers and others are
pure infrastructure, like MySQL servers or load balancers.
Although the AWS API only has one type called "Layer", it actually has
a number of different "soft" types that each have slightly different
validation rules and extra properties that are packed into the Attributes
map.
To make the validation rule differences explicit in Terraform, and to make
the Terraform structure more closely resemble the OpsWorks UI than its
API, we use a separate resource type per layer type, with the common code
factored out into a shared struct type.
"Stack" is the root concept in OpsWorks, and acts as a container for a number
of different "layers" that each provide some service for an application.
A stack isn't very interesting on its own, but it needs to be created before
any layers can be created.
Here we add an OpsWorks client instance to the central client bundle and
establish a new documentation section, both of which will be fleshed out in
subsequent commits that add some OpsWorks resources.
AWS provides three different ways to create AMIs that each have different
inputs, but once they are complete the same management operations apply.
Thus these three resources each have a different "Create" implementation
but then share the same "Read", "Update" and "Delete" implementations.
With so many AWS provider resources, the docs are getting pretty hard
to navigate. This is particularly true due to the mismatch of some
resources encoding the service name (like aws_route53_record) but some
others ignoring it (like aws_subnet) or using a generic prefix (like
aws_db_instance), which causes an alphabetical ordering to muddle
up all of the services.
Since the AWS UI and docs are themselves oriented around services, most
users should be familiar with the service brands and understand which
resources belong to which service. Thus this categorization follows the
primary categorization used within the AWS Console, preferring EC2-VPC
over EC2-Classic-style bucketing.
Radek Simko