Digital.ai DevOps Platform on the AWS Cloud

Quick Start Reference Deployment

QS

July 2020

AWS Quick Start Team

Visit our GitHub repository for source files and to post feedback, report bugs, or submit feature ideas for this Quick Start.

This Quick Start was created by Digital.ai in collaboration with Amazon Web Services (AWS). Quick Starts are automated reference deployments that use AWS CloudFormation templates to deploy key technologies on AWS, following AWS best practices.

Overview

Some references and Xebialabs web links appear in this document belong to Digital.ai

This Quick Start reference deployment guide provides step-by-step instructions for deploying Digital.ai DevOps Platform on the AWS Cloud.

This Quick Start is for development teams, infrastructure architects, and DevOps professionals who want to quickly get started with the Digital.ai DevOps Platform, which orchestrates releases, automates deployments, and provides performance insights for DevOps pipelines.

This Quick Start provides a secure, highly-available setup of the Digital.ai DevOps Platform running in the AWS Cloud. It is designed for Digital.ai customers who are looking to move to AWS, or for users who are test-driving the trial version of the Digital.ai DevOps Platform. The goal of this guide is to help you get started with Digital.ai release orchestration and deployment automation on AWS, even if you’re new to the Digital.ai DevOps Platform.

Amazon may share user-deployment information with the AWS Partner that collaborated with AWS on the Quick Start.

Digital.ai DevOps Platform on AWS

The Digital.ai DevOps Platform can provision and manage dynamic infrastructure running in the AWS Cloud, or in private or hybrid cloud environments. Digital.ai supports deployments to a variety of AWS products and services, including Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Service for Kubernetes (Amazon EKS), AWS Fargate, AWS Service Catalog, and more.

In addition to provisioning and managing cloud-based environments, Digital.ai orchestrates end-to-end release and deployment processes for applications running in the cloud or on premises. The Digital.ai DevOps Platform helps you build efficient, repeatable, and scalable release and deployment processes for all types of technologies, from mainframes and middleware to containers and microservices.

Model-Based Deployments and Automated Rollbacks for AWS

Digital.ai dynamically generates provisioning and deployment plans based on your infrastructure and application configuration, using logic stored in plugins. By abstracting configuration details from provisioning and deployment logic, Digital.ai can provision any cloud-based architecture and deploy to it. Changes are easy to make and propagate, and rollbacks happen automatically when needed.

Release Orchestration, Dependency Management, and Self-Service Deployments for AWS

Digital.ai release orchestration defines and automates the steps in your software delivery pipeline and connects AWS directly to that pipeline. You can deploy your code to AWS after it passes through the release process. Digital.ai tracks and enforces dependencies between complex releases and microservices, and prevents deployment conflicts.

Built-in Compliance and Reporting for AWS Release Pipelines

Digital.ai provides extensive reporting on the complete release pipeline and goal-based KPI dashboards that you can use to measure and improve your DevOps processes. It captures release status, release metrics, and data needed for compliance requirements, and displays this information in configurable dashboards and customizable reports.

AWS costs

You are responsible for the cost of the AWS services and any third-party licenses used while running this Quick Start. There is no additional cost for using the Quick Start.

The AWS CloudFormation templates for Quick Starts include configuration parameters that you can customize. Some of the settings, such as the instance type, affect the cost of deployment. For cost estimates, see the pricing pages for each AWS service you use. Prices are subject to change.

After you deploy the Quick Start, create AWS Cost and Usage Reports to deliver billing metrics to an Amazon Simple Storage Service (Amazon S3) bucket in your account. These reports provide cost estimates based on usage throughout each month and aggregate the data at the end of the month. For more information, see What are AWS Cost and Usage Reports?

Software licenses

You can deploy the Digital.ai DevOps Platform using one of the following license types:

Architecture

Deploying this Quick Start for a new virtual private cloud (VPC) with default parameters builds the following Digital.ai DevOps Platform environment in the AWS Cloud.

Architecture
Figure 1. Quick Start architecture for Digital.ai DevOps Platform on AWS

As shown in Figure 1, the Quick Start sets up the following:

  • A highly available architecture that spans two Availability Zones.*

  • A VPC configured with public and private subnets, according to AWS best practices, to provide you with your own virtual network on AWS.*

  • An internet gateway to allow access to the internet. This gateway is used by the bastion hosts to send and receive traffic.*

In the public subnets:

  • Managed network address translation (NAT) gateways to allow outbound internet access for resources in the private subnets.*

  • A Linux bastion host in an Auto Scaling group to allow inbound Secure Shell (SSH) access to EC2 instances in public and private subnets.*

In the private application subnets:

  • An Amazon Elastic Container Service (Amazon ECS) cluster running on EC2 instances for hosting the Digital.ai DevOps Platform containers that contain the Digital.ai Release and Digital.ai Deploy modules

In the ECS cluster:

  • A Digital.ai Release module set up in full cluster mode.

  • A Digital.ai Deploy module set up in high-availability (hot-standby) mode.

In the private data subnets:

  • An Amazon Aurora PostgreSQL cluster, for hosting the Digital.ai DevOps Platform data.

  • An Amazon Elastic File System (Amazon EFS) volume, for hosting the disk-based configuration and data for the Digital.ai DevOps Platform.

Amazon Elastic File System (Amazon EFS) volumes are encrypted.
  • An Application Load Balancer for routing incoming user requests to the Digital.ai DevOps Platform containers.

*The template that deploys the Quick Start into an existing VPC skips the components marked by asterisks and prompts you for your existing VPC configuration.

Planning the deployment

Specialized knowledge

This deployment requires a moderate level of familiarity with AWS services. If you’re new to AWS, see Getting Started Resource Center and AWS Training and Certification. These sites provide materials for learning how to design, deploy, and operate your infrastructure and applications on the AWS Cloud.

This Quick Start assumes familiarity with

AWS account

If you don’t already have an AWS account, create one at https://aws.amazon.com by following the on-screen instructions. Part of the sign-up process involves receiving a phone call and entering a PIN using the phone keypad.

Your AWS account is automatically signed up for all AWS services. You are charged only for the services you use.

Technical requirements

Before you launch the Quick Start, review the following information and ensure that your account is properly configured. Otherwise, deployment might fail.

Resource quotas

If necessary, request service quota increases for the following resources. You might request quota increases to avoid exceeding the default limits for any resources that are shared across multiple deployments. The Service Quotas console displays your usage and quotas for some aspects of some services. For more information, see What is Service Quotas? and AWS service quotas.

Resource This deployment uses

VPCs

1

Elastic IP addresses

1

Security groups

4

IAM roles

6

Auto Scaling groups

1

Application Load Balancers

1

Network Load Balancers

0

t2.small instances

1

Supported Regions

Code Name Opt-in Status

us-east-2

US East (Ohio)

Not required

us-east-1

US East (N. Virginia)

Not required

us-west-1

US West (N. California)

Not required

us-west-2

US West (Oregon)

Not required

ap-south-1

Asia Pacific (Mumbai)

Not required

ap-northeast-2

Asia Pacific (Seoul)

Not required

ap-southeast-1

Asia Pacific (Singapore)

Not required

ap-southeast-2

Asia Pacific (Sydney)

Not required

ap-northeast-1

Asia Pacific (Tokyo)

Not required

ca-central-1

Canada (Central)

Not required

eu-central-1

Europe (Frankfurt)

Not required

eu-west-1

Europe (Ireland)

Not required

sa-east-1

South America (São Paulo)

Not required

Certain Regions are available on an opt-in basis. For more information, see Managing AWS Regions.

IAM permissions

Before launching the Quick Start, you must sign in to the AWS Management Console with IAM permissions for the resources that the templates deploy. The AdministratorAccess managed policy within IAM provides sufficient permissions, although your organization may choose to use a custom policy with more restrictions. For more information, see AWS managed policies for job functions.

Prepare for the deployment

A trial or commercial Digital.ai DevOps Platform license. See Software licenses earlier in this document.

Deployment options

This Quick Start provides two deployment options:

  • Deploy Digital.ai DevOps Platform into a new VPC (end-to-end deployment). This option builds a new AWS environment consisting of the VPC, subnets, NAT gateways, security groups, bastion hosts, and other infrastructure components. It then deploys Digital.ai DevOps Platform into this new VPC.

  • Deploy Digital.ai DevOps Platform into an existing VPC. This option provisions Digital.ai DevOps Platform in your existing AWS infrastructure.

The Quick Start provides separate templates for these options. It also lets you configure Classless Inter-Domain Routing (CIDR) blocks, instance types, and Digital.ai DevOps Platform settings, as discussed later in this guide.

Deployment steps

Sign in to your AWS account

  1. Sign in to your AWS account at https://aws.amazon.com with an IAM user role that has the necessary permissions. For details, see Planning the deployment earlier in this guide.

  2. Make sure that your AWS account is configured correctly, as discussed in the Technical requirements section.

Launch the Quick Start

You are responsible for the cost of the AWS services used while running this Quick Start reference deployment. There is no additional cost for using this Quick Start. For full details, see the pricing pages for each AWS service used by this Quick Start. Prices are subject to change.
  1. Sign in to your AWS account, and choose one of the following options to launch the AWS CloudFormation template. For help with choosing an option, see deployment options earlier in this guide.

Deploy Digital.ai DevOps Platform into a new VPC on AWS

Deploy Digital.ai DevOps Platform into an existing VPC on AWS

If you’re deploying Digital.ai DevOps Platform into an existing VPC, make sure that your VPC has two private subnets in different Availability Zones for the workload instances, and that the subnets aren’t shared. This Quick Start doesn’t support shared subnets. These subnets require NAT gateways in their route tables, to allow the instances to download packages and software without exposing them to the internet.

Also, make sure that the domain name option in the DHCP options is configured as explained in the Amazon VPC documentation. You provide your VPC settings when you launch the Quick Start.

Each deployment takes about 40 minutes to complete.

  1. Check the AWS Region that’s displayed in the upper-right corner of the navigation bar, and change it if necessary. This is where the network infrastructure for Digital.ai DevOps Platform will be built. The template is launched in the us-east-2 Region by default.

  1. On the Create stack page, keep the default setting for the template URL, and then choose Next.

  2. On the Specify stack details page, change the stack name if needed. Review the parameters for the template. Provide values for the parameters that require input. For all other parameters, review the default settings and customize them as necessary.

+ In the following tables, parameters are listed by category and described separately for the deployment options. When you finish reviewing and customizing the parameters, choose Next.

+ NOTE: Unless you are customizing the Quick Start templates for your own deployment projects, keep the default settings for the parameters Quick Start S3 bucket name, Quick Start S3 bucket Region, and Quick Start S3 key prefix. Changing these settings automatically updates code references to point to a new Quick Start location. For more information, see the AWS Quick Start Contributor’s Guide.

+ === Launch into a New VPC .Network Configuration

Parameter label (name) Default value Description

Remote access CIDR (RemoteAccessCIDR)

Requires input

CIDR block for remote access

Availability zones (AvailabilityZones)

Requires input

List of Availability Zones (AZs) to use for the subnets in the VPC. Select two.

VPC CIDR (VPCCIDR)

10.0.0.0/19

CIDR block for the VPC

Private subnet 1 (PrivateSubnet1CIDR)

10.0.8.0/24

CIDR block for private subnet 1 located in Availability Zone 1

Private subnet 2 (PrivateSubnet2CIDR)

10.0.9.0/24

CIDR block for private subnet 2 located in Availability Zone 2

Private data subnet 1 (DataSubnet1CIDR)

10.0.16.0/24

CIDR block for private data subnet 1 located in Availability Zone 1

Private data subnet 2 (DataSubnet2CIDR)

10.0.17.0/24

CIDR block for private data subnet 2 located in Availability Zone 2

Public subnet 1 (PublicSubnet1CIDR)

10.0.1.0/24

CIDR block for the public (DMZ) subnet 1 located in Availability Zone 1

Public subnet 2 (PublicSubnet2CIDR)

10.0.2.0/24

CIDR block for the public (DMZ) subnet 2 located in Availability Zone 2

Table 1. RDS Configuration
Parameter label (name) Default value Description

Database administrator username (DBMasterUsername)

xldevops

The database admin account username

Database administrator password (DBMasterPassword)

Requires input

The database admin account password

Database backup retention period (DBBackupRetentionPeriod)

7

The number of days for which automatic DB snapshots are retained.

Database instance class (DBInstanceClass)

db.r4.large

The name of the compute and memory capacity class of the DB instance.

Table 2. HTTP Configuration
Parameter label (name) Default value Description

SSL certificate arn (SslCertificateArn)

:default

The ARN of the SSL certificate used to secure internet access to the Digital.ai DevOps Platform

The type of load balancer to deploy (either internal or public) (LoadBalancerType)

internet-facing

The type of load balancer to deploy (either internal or public)

Table 3. General Settings
Parameter label (name) Default value Description

Environment name (EnvironmentName)

xldevops

The Environment name, defaults to 'xldevops'.

Key name (KeyPairName)

Requires input

The name of an existing public/private key pair, which allows you to securely connect to your instance after it launches

Install bastion host (InstallBastionHost)

false

Whether or not to install and configure a bastion host

Table 4. Digital.ai DevOps Platform Configuration
Parameter label (name) Default value Description

XL DevOps Platform instance type (XLPlatformInstanceType)

m5.large

The instance type the XL DevOps Platform applications are created on

Install XL Deploy (InstallXLDeploy)

true

Whether XL Deploy should be installed in the ECS Cluster.

XL Deploy Docker image (XLDeployDockerImage)

xebialabs/xl-deploy

The path to the XL Deploy Docker image (registry/image)

XL Deploy version (XLDeployVersion)

Requires input

The version of XL Deploy to deploy

XL Deploy administrator password (XLDeployPassword)

Requires input

The administrator password for XL Deploy

XL Deploy cluster mode (XLDeployClusterMode)

default

Set the clustermode for XL Deploy

XL Deploy license (XLDeployLicense)

trial

The (Base64 encoded) license for XL Deploy

Install XL Release (InstallXLRelease)

true

Whether XL Release should be installed in the ECS Cluster.

XL Release Docker image (XLReleaseDockerImage)

xebialabs/xl-release

The path to the XL Release Docker image (registry/image)

XL Release version (XLReleaseVersion)

Requires input

The version of XL Release to deploy

XL Release administrator password (XLReleasePassword)

Requires input

The administrator password for XL Release

XL Release cluster mode (XLReleaseClusterMode)

default

Set the clustermode for XL Release

XL Release license (XLReleaseLicense)

trial

The (Base64 encoded) license for XL Release

Accept the Digital.ai EULA (AcceptEula)

Requires input

To deploy the stack, AcceptEula value must be set to 'yes'. Note - Irrespective of having a full license or a 30 days trial license or evaluating the product for 7 days using docker containers, you must accept EULA (End-user license agreement). https://xebialabs.com/legal/XebiaLabs-Master-Subscription-Agreement-September-2018.pdf

Table 5. AWS Quick Start Configuration
Parameter label (name) Default value Description

Quick Start S3 bucket name (QSS3BucketName)

aws-quickstart

S3 bucket name for the Quick Start assets. Quick Start bucket name can include numbers, lowercase letters, uppercase letters, and hyphens (-). It cannot start or end with a hyphen (-).

Quick Start S3 bucket region (QSS3BucketRegion)

us-east-1

The AWS Region where the Quick Start S3 bucket (QSS3BucketName) is hosted. When using your own bucket, you must specify this value.

Quick Start S3 key prefix (QSS3KeyPrefix)

quickstart-xebialabs-devops-platform/

S3 key prefix for the Quick Start assets. Quick Start key prefix can include numbers, lowercase letters, uppercase letters, hyphens (-), and forward slash (/).

Launch into an existing VPC

Table 6. Network Configuration
Parameter label (name) Default value Description

VPC ID (VPCID)

Requires input

The VPC Id

VPC CIDR (VPCCIDR)

10.0.0.0/19

Enter the CIDR Range for your VPC

Remote access CIDR (RemoteAccessCIDR)

Requires input

CIDR block for remote access

Public subnet 1 (PublicSubnet1ID)

Requires input

The first subnet the XL DevOps Platform should be deployed to

Public subnet 2 (PublicSubnet2ID)

Requires input

The second subnet the XL DevOps Platform should be deployed to

Private subnet 1 (PrivateSubnet1ID)

Requires input

The first subnet the XL DevOps Platform should be deployed to

Private subnet 2 (PrivateSubnet2ID)

Requires input

The second subnet the XL DevOps Platform should be deployed to

Private data Subnet 1 (DataSubnet1ID)

Requires input

The first subnet the Aurora database cluster should be deployed to

Private data Subnet 2 (DataSubnet2ID)

Requires input

The second subnet the Aurora database cluster should be deployed to

Table 7. RDS Configuration
Parameter label (name) Default value Description

Database administrator username (DBMasterUsername)

xldevops

The database admin account username

Database administrator password (DBMasterPassword)

Requires input

The database admin account password

Database backup retention period (DBBackupRetentionPeriod)

7

The number of days for which automatic DB snapshots are retained.

Database instance class (DBInstanceClass)

db.r4.large

The name of the compute and memory capacity class of the DB instance.

Table 8. HTTP Configuration
Parameter label (name) Default value Description

SSL certificate arn (SslCertificateArn)

:default

The ARN of the SSL certificate used to secure internet access to the Digital.ai DevOps Platform

The type of load balancer to deploy (either internal or public) (LoadBalancerType)

internet-facing

The type of load balancer to deploy (either internal or public)

Table 9. General Settings
Parameter label (name) Default value Description

Environment name (EnvironmentName)

xldevops

The Environment name, defaults to 'xldevops'

Key name (KeyPairName)

Requires input

The name of an existing public/private key pair, which allows you to securely connect to your instance after it launches

Bastion security group (BastionSecurityGroup)

Blank string

The Bastion Security Group that allows SSH access to the ECS machines

User external database? (UseExternalDB)

true

Use an external Database

Table 10. Digital.ai DevOps Platform Configuration
Parameter label (name) Default value Description

XL DevOps Platform instance type (XLPlatformInstanceType)

m5.xlarge

The instance type the XL DevOps Platform applications are created on

Install XL Release (InstallXLRelease)

true

Whether XL Release should be installed in the ECS Cluster.

XL Release Docker image (XLReleaseDockerImage)

xebialabs/xl-release

The path to the XL Release Docker image (registry/image)

XL Release version (XLReleaseVersion)

Requires input

The version of XL Release to deploy

XL Release administrator password (XLReleasePassword)

Requires input

The administrator password for XL Release

XL Release cluster mode (XLReleaseClusterMode)

default

Set the clustermode for XL Release

XL Release license (XLReleaseLicense)

trial

The (Base64 encoded) license for XL Release

Install XL Deploy (InstallXLDeploy)

true

Whether XL Deploy should be installed in the ECS Cluster.

XL Deploy Docker image (XLDeployDockerImage)

xebialabs/xl-deploy

The path to the XL Deploy Docker image (registry/image)

XL Deploy version (XLDeployVersion)

Requires input

The version of XL Deploy to deploy

XL Deploy administrator password (XLDeployPassword)

Requires input

The administrator password for XL Deploy

XL Deploy cluster mode (XLDeployClusterMode)

default

Set the clustermode for XL Deploy

XL Deploy license (XLDeployLicense)

trial

The (Base64 encoded) license for XL Deploy

EFS mount point (MountPoint)

/mnt/efs

The Linux mount point for the EFS volume

Accept the Digital.ai EULA (AcceptEula)

Requires input

To deploy the stack, AcceptEula value must be set to 'yes'. Note - Irrespective of having a full license or a 30 days trial license or evaluating the product for 7 days using docker containers, you must accept EULA (End-user license agreement). https://xebialabs.com/legal/XebiaLabs-Master-Subscription-Agreement-September-2018.pdf

Table 11. AWS Quick Start Configuration
Parameter label (name) Default value Description

Quick Start S3 bucket name (QSS3BucketName)

aws-quickstart

S3 bucket name for the Quick Start assets. Quick Start bucket name can include numbers, lowercase letters, uppercase letters, and hyphens (-). It cannot start or end with a hyphen (-).

Quick Start S3 bucket region (QSS3BucketRegion)

us-east-1

The AWS Region where the Quick Start S3 bucket (QSS3BucketName) is hosted. When using your own bucket, you must specify this value.

Quick Start S3 key prefix (QSS3KeyPrefix)

quickstart-xebialabs-devops-platform/

S3 key prefix for the Quick Start assets. Quick Start key prefix can include numbers, lowercase letters, uppercase letters, hyphens (-), and forward slash (/).

+ . On the Configure stack options page, you can specify tags (key-value pairs) for resources in your stack and set advanced options. When you’re finished, choose Next. . On the Review page, review and confirm the template settings. Under Capabilities, select the two check boxes to acknowledge that the template creates IAM resources and might require the ability to automatically expand macros. . Choose Create stack to deploy the stack. . Monitor the status of the stack. When the status is CREATE_COMPLETE, the Digital.ai DevOps Platform deployment is ready. . Use the values displayed in the Outputs tab for the stack, as shown in Figure 2, to view the created resources.

cfn_outputs
Figure 2. Digital.ai DevOps Platform outputs after successful deployment

Test the deployment

Once the deployment has succeeded, you can access the products at:

Best practices for using Digital.ai DevOps Platform on AWS

Backups

It is recommended to regularly back up the data in the Amazon RDS instance in addition to the contents of the EFS volume. This prevents data loss, if the stack is removed accidentally.

Security

The security groups and IAM roles are set up to provide minimal access to the software. You can fine-tune them to your needs. For setting up users and groups in the Digital.ai DevOps Platform itself, please refer to the product documentation at https://docs.xebialabs.com.

FAQ

Q. I encountered a CREATE_FAILED error when I launched the Quick Start.

A. If AWS CloudFormation fails to create the stack, we recommend that you relaunch the template with Rollback on failure set to No. (This setting is under Advanced in the AWS CloudFormation console, Options page.) With this setting, the stack’s state is retained and the instance is left running, so you can troubleshoot the issue. (For Windows, look at the log files in %ProgramFiles%\Amazon\EC2ConfigService and C:\cfn\log.)

When you set Rollback on failure to Disabled, you continue to incur AWS charges for this stack. Please make sure to delete the stack when you finish troubleshooting.

For additional information, see Troubleshooting AWS CloudFormation on the AWS website.

Q. I encountered a size limitation error when I deployed the AWS CloudFormation templates.

A. We recommend that you launch the Quick Start templates from the links in this guide or from another S3 bucket. If you deploy the templates from a local copy on your computer or from a location other than an S3 bucket, you might encounter template size limitations. For more information about AWS CloudFormation quotas, see the AWS documentation.

Q. Can I use the ‘latest’ tag when specifying a version for the Digital.ai DevOps Platform?

A. The ‘latest’ tag is an anti-pattern in DevOps because it precludes repeatable builds/deployments. This makes it impossible to tell which version was used for the deployment. The Digital.ai DevOps Platform is not released with a ‘latest’ tag. Rather, Digital.ai releases each new version with two tags: the exact (major.minor.patch) version number and a “latest in stream” (major.minor) version number. The “latest in stream” tag will be updated with each subsequent maintenance release of the Digital.ai DevOps Platform.

Q. Can I run the Digital.ai DevOps Platform on the AWS Free Tier?

A. No. The minimum instance sizes needed for the Digital.ai DevOps Platform are larger than the AWS Free Tier allows.

Q. How many AWS resources does the Digital.ai DevOps Platform use?

A. The Digital.ai DevOps Platform instantiates two to four EC2 hosts in a single ECS cluster for running the Digital.ai DevOps Platform containers. In addition, one EC2 host is created to provide a bastion host to access your VPC. Finally, you need one Elastic IP address to access the Digital.ai DevOps Platform.

Additional Resources

Digital.ai DevOps Platform documentation

Send us feedback

To post feedback, submit feature ideas, or report bugs, use the Issues section of the GitHub repository for this Quick Start. To submit code, see the Quick Start Contributor’s Guide.

Quick Start reference deployments

GitHub repository

Visit our GitHub repository to download the templates and scripts for this Quick Start, to post your comments, and to share your customizations with others.


Notices

This document is provided for informational purposes only. It represents AWS’s current product offerings and practices as of the date of issue of this document, which are subject to change without notice. Customers are responsible for making their own independent assessment of the information in this document and any use of AWS’s products or services, each of which is provided “as is” without warranty of any kind, whether expressed or implied. This document does not create any warranties, representations, contractual commitments, conditions, or assurances from AWS, its affiliates, suppliers, or licensors. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers.

The software included with this paper is licensed under the Apache License, version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at http://aws.amazon.com/apache2.0/ or in the accompanying "license" file. This code is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either expressed or implied. See the License for specific language governing permissions and limitations.