Amazon AMI Builder
The Amazon plugin is able to create Amazon AMIs. To achieve this, the plugin comes with multiple builders depending on the strategy you want to use to build the AMI.
The Amazon plugin supports the following builders at the moment:
amazon-ebs - Create EBS-backed AMIs by launching a source AMI and re-packaging it into a new AMI after provisioning. If in doubt, use this builder, which is the easiest to get started with.
amazon-instance - Create instance-store AMIs by launching and provisioning a source instance, then rebundling it and uploading it to S3.
amazon-chroot - Create EBS-backed AMIs from an existing EC2 instance by mounting the root device and using a Chroot environment to provision that device. This is an advanced builder and should not be used by newcomers. However, it is also the fastest way to build an EBS-backed AMI since no new EC2 instance needs to be launched.
amazon-ebssurrogate - Create EBS -backed AMIs from scratch. Works similarly to the
chroot
builder but does not require running in AWS. This is an advanced builder and should not be used by newcomers.
Don't know which builder to use? If in doubt, use the amazon-ebs builder. It is much easier to use and Amazon generally recommends EBS-backed images nowadays.
How to use this plugin
From Packer v1.7.0, copy and paste this code into your Packer configuration to install this plugin.
Then, run packer init
.
Amazon EBS Volume Builder
The Amazon Plugin is able to create Amazon EBS Volumes which are preinitialized with a filesystem and data.
- amazon-ebsvolume - Create EBS volumes by launching a source AMI with block devices mapped. Provision the instance, then destroy it, retaining the EBS volumes and or Snapshot.
Authentication
The AWS provider offers a flexible means of providing credentials for authentication. The following methods are supported, in this order, and explained below:
- Static credentials
- Environment variables
- Shared credentials file
- EC2 Role
Static Credentials
Static credentials can be provided in the form of an access key id and secret. These look like:
If you would like, you may also assume a role using the assume_role configuration option. You must still have one of the valid credential resources explained above, and your user must have permission to assume the role in question. This is a way of running Packer with a more restrictive set of permissions than your user.
AssumeRoleConfig lets users set configuration options for assuming a special role when executing Packer.
Usage example:
HCL config example:
JSON config example:
role_arn
(string) - Amazon Resource Name (ARN) of the IAM Role to assume.duration_seconds
(int) - Number of seconds to restrict the assume role session duration.external_id
(string) - The external ID to use when assuming the role. If omitted, no external ID is passed to the AssumeRole call.policy
(string) - IAM Policy JSON describing further restricting permissions for the IAM Role being assumed.policy_arns
([]string) - Set of Amazon Resource Names (ARNs) of IAM Policies describing further restricting permissions for the IAM Role beingsession_name
(string) - Session name to use when assuming the role.tags
(map[string]string) - Map of assume role session tags.transitive_tag_keys
([]string) - Set of assume role session tag keys to pass to any subsequent sessions.
Environment variables
You can provide your credentials via the AWS_ACCESS_KEY_ID
and
AWS_SECRET_ACCESS_KEY
, environment variables, representing your AWS Access
Key and AWS Secret Key, respectively. Note that setting your AWS credentials
using either these environment variables will override the use of
AWS_SHARED_CREDENTIALS_FILE
and AWS_PROFILE
. The AWS_DEFAULT_REGION
and
AWS_SESSION_TOKEN
environment variables are also used, if applicable:
Usage:
Shared Credentials file
You can use an AWS credentials file to specify your credentials. The default
location is $HOME/.aws/credentials
on Linux and OS X, or
%USERPROFILE%.aws\credentials
for Windows users. If we fail to detect
credentials inline, or in the environment, the Amazon Plugin will check this location. You
can optionally specify a different location in the configuration by setting the
environment with the AWS_SHARED_CREDENTIALS_FILE
variable.
The format for the credentials file is like so
You may also configure the profile to use by setting the profile
configuration option, or setting the AWS_PROFILE
environment variable:
IAM Task or Instance Role
Finally, the plugin will use credentials provided by the task's or instance's IAM role, if it has one.
This is a preferred approach over any other when running in EC2 as you can avoid hard coding credentials. Instead these are leased on-the-fly by the plugin, which reduces the chance of leakage.
The following policy document provides the minimal set permissions necessary for the Amazon plugin to work:
Note that if you'd like to create a spot instance, you must also add:
If you have the spot_price
parameter set to auto
, you must also add:
If you are using the vpc_filter
option, you must also add:
This permission may also be needed by the associate_public_ip_address
option, if specified without a subnet.
In this case the plugin will invoke DescribeVpcs
to find information about the default VPC.
When using associate_public_ip_address
without a subnet, you will also benefit from having:
This will ensure that the plugin will pick a subnet/AZ that can host the type of instance you're requesting in your template.
If you are using the deprecate_at
attribute in your templates, you will also need:
If you are using SSM to connect to the instance, and are specifying a private key file, you must also add:
If you are building a Windows AMI, and want to enable fast-launch, you will also need:
Troubleshooting
Attaching IAM Policies to Roles
IAM policies can be associated with users or roles. If you use the plugin with IAM roles, you may encounter an error like this one:
You can read more about why this happens on the Amazon Security Blog. The example policy below may help the plugin work with IAM roles. Note that this example provides more than the minimal set of permissions needed for the Amazon plugin to work, but specifics will depend on your use-case.
If using an existing instance profile with spot instances/spot pricing, the iam:CreateServiceLinkedRole
action is also required:
In case when you're creating a temporary instance profile you will require to have following IAM policies.
In cases where you are using a KMS key for encryption, your key will need the following policies at a minimum:
If you are using a key provided by a different account than the one you are using to run the Packer build, your key will also need
Checking that system time is current
Amazon uses the current time as part of the request signing process. If your system clock is too skewed from the current time, your requests might fail. If that's the case, you might see an error like this:
If you suspect your system's date is wrong, you can compare it against
http://www.time.gov/
. On Linux/OS X, you can run the date
command to get the current time. If you're
on Linux, you can try setting the time with ntp by running sudo ntpd -q
.
ResourceNotReady Error
This error generally appears as either ResourceNotReady: exceeded wait attempts
or ResourceNotReady: failed waiting for successful resource state
.
This opaque error gets returned from AWS's API for a number of reasons, generally during image copy/encryption. Possible reasons for the error include:
You aren't waiting long enough. This is where you'll see the
exceeded wait attempts
variety of this error message: We use the AWS SDK's built-in waiters to wait for longer-running tasks to complete. These waiters have default delays between queries and maximum number of queries that don't always work for our users.If you find that you are being rate-limited or have exceeded your max wait attempts, you can override the defaults by setting the following packer environment variables (note that these will apply to all AWS tasks that we have to wait for):
AWS_MAX_ATTEMPTS
- This is how many times to re-send a status update request. Excepting tasks that we know can take an extremely long time, this defaults to 40 tries.AWS_POLL_DELAY_SECONDS
- How many seconds to wait in between status update requests. Generally defaults to 2 or 5 seconds, depending on the task.
Alternatively, you can configure these settings in source section of the packer configuration file, for example:
You are using short-lived credentials that expired during the build. If this is the problem, you may also see
RequestExpired: Request has expired.
errors displayed in the Packer output:If you are using STS credentials, make sure that they expire only after the build has completed
If you are chaining roles, make sure your build doesn't last more than an hour, since when you chain roles the maximum length of time your credentials will last is an hour: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use.html
Something is wrong with your KMS key. This is where you'll see the
ResourceNotReady: failed waiting for successful resource state
variety of this error message. Issues we've seen include:- Your KMS key is invalid, possibly because of a typo
- Your KMS key is valid but does not have the necessary permissions (see above for the necessary key permissions)
- Your KMS key is valid, but not in the region you've told us to use it in.