Ansible vs Tf vs Cf: Disaster Recovery
At this point, I am working on my disaster recovery plan by developing templates of my school's current resources. I have come to understand that CloudFormation is great if you are only working with AWS resources. Terraform works well with AWS but also with other cloud providers, so if you are multi-cloud or opposed to vendor lock in, then Terraform makes a lot of sense. As for Ansible... I can configure servers with it, but deploying cloud resources is not as easy as I would like, and I think that is why everywhere I interview, CF & TF are for Infrastructure as Code, and Ansible is for configuration management. However, I am still working on replicating my resource stacks in all three languages, just for the practice. Today, I am making some serious headway with CloudFormation.
My first task was to get a sense of what is deployed in my organization's region. This was greatly aided by CloudFormer. I ran the template for the CloudFormer server, then changed it for a larger instance, since it seemed to be grinding on the size of our DNS record stacks. Once I did that, I walked through the interface and was rewarded with about 7K lines of yaml code that declared everything that was built. I ran it two more times, splitting the DNS records (2700 lines) from the main output file (4600 lines). This gave me a good understanding of what all I had built in the console over the last three years. Now I have a baseline from which to build a copy for another region. I am also considering deploying it in the current region and rebuilding all the resources, then deleting the old resources, clearing out the cruft of experimentation.
The next step was to recreate the VPC stack. This began my first use of the !Ref intrinsic function to refer to the parameters I added to the template:
Parameters:
EnvironmentName:
Description: An environment name that will be prefixed to resource names
Type: String
Default: DR-Prod
VpcCIDR:
Description: Please enter the IP range (CIDR notation) for this VPC
Type: String
Default: 10.0.0.0/16
PublicSubnet1CIDR:
Description: Please enter the IP range (CIDR notation) for the public subnet in the first Availability Zone
Type: String
Default: 10.0.0.0/24
## truncated for example
Resources:
VPC:
Type: AWS::EC2::VPC
Properties:
CidrBlock: !Ref VpcCIDR
EnableDnsSupport: true
EnableDnsHostnames: true
Tags:
- Key: Name
Value: !Ref EnvironmentName
InternetGateway:
Type: AWS::EC2::InternetGateway
Properties:
Tags:
- Key: Name
Value: !Ref EnvironmentName
InternetGatewayAttachment:
Type: AWS::EC2::VPCGatewayAttachment
Properties:
InternetGatewayId: !Ref InternetGateway
VpcId: !Ref VPC
# subnets
PublicSubnet1:
Type: AWS::EC2::Subnet
Properties:
VpcId: !Ref VPC
AvailabilityZone: !Select [ 0, !GetAZs '' ]
CidrBlock: !Ref PublicSubnet1CIDR
MapPublicIpOnLaunch: true
Tags:
- Key: Name
Value: !Sub ${EnvironmentName} Public Subnet (AZ1)
# routing
PublicRouteTable:
Type: AWS::EC2::RouteTable
Properties:
VpcId: !Ref VPC
Tags:
- Key: Name
Value: !Sub ${EnvironmentName} Public Routes
DefaultPublicRoute:
Type: AWS::EC2::Route
DependsOn: InternetGatewayAttachment
Properties:
RouteTableId: !Ref PublicRouteTable
DestinationCidrBlock: 0.0.0.0/0
GatewayId: !Ref InternetGateway
PublicSubnet1RouteTableAssociation:
Type: AWS::EC2::SubnetRouteTableAssociation
Properties:
RouteTableId: !Ref PublicRouteTable
SubnetId: !Ref PublicSubnet1
## truncated for example
This also allowed me to use the !Select function to get the availability zones without having to name them explicitly, and the !Sub function to add some variety to my tags.
As I began to build other stacks, such as the security stack, I found that I needed to use dynamically generated values like resource IDs, which lead me to the Outputs section, which I had only ever used to generate a URL as part of a tutorial.
Outputs:
VPC:
Description: A reference to the created VPC
Value: !Ref VPC
Export:
Name: VP
PublicSubnet1:
Description: A reference to the public subnet in the 1st Availability Zone
Value: !Ref PublicSubnet1
Export:
Name: PublicSubnet1
Each named value is then available to other stacks in the region, so you can use the !ImportValue function to retrieve them for your follow on scripts. Here's part of the security stack, which handles security groups and ingress rules. Later I'll add a NACLs set, which will be good practice for my Networking Specialty exam coming up.
Description: "This template applies the network security stack, implementing security groups, egress and ingress rules, network access control lists, sets up the bastion host, and applies the NAT and route rules for the private subnets."
Resources:
# security groups and ingress rules
# mdm security groups
sgMdmProd:
Type: AWS::EC2::SecurityGroup
Properties:
GroupDescription: Mdm server in production
VpcId: !ImportValue VPC
Tags:
- Key: Name
Value: MdmProd
# all access 8443
ingressMdmProd01:
Type: AWS::EC2::SecurityGroupIngress
Properties:
GroupId: !Ref sgMdmProd
IpProtocol: tcp
FromPort: '8443'
ToPort: '8443'
CidrIp: 0.0.0.0/0
# ldap 389 only to ldap server
ingressMdmProd05:
Type: AWS::EC2::SecurityGroupIngress
Properties:
GroupId: !Ref sgMdmProd
IpProtocol: tcp
FromPort: '389'
ToPort: '389'
SourceSecurityGroupId: !Ref sgOdProd
SourceSecurityGroupOwnerId: '<redacted>'
# truncated for examples
I exported my security groups so they could be used by other scripts that create resources which require security groups. The best part about having the network stack separate is that I can look at it closely and make sure there are no extraneous rules, and that no traffic is incoming from anywhere I don't want.
As my list of stacks got larger and larger, I learned about nested stacks and DependsOn conditions. This is my root stack example:
AWSTemplateFormatVersion: '2010-09-09'
Description: "disaster recovery / automatic failover"
Resources:
DrVpc:
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: https://s3.amazonaws.com/<redacted>/DrVpc.yaml
TimeoutInMinutes: '5'
DrSecGroupRules:
Type: AWS::CloudFormation::Stack
DependsOn: DrVpc
Properties:
TemplateURL: https://s3.amazonaws.com/<redacted>/DrSecurityRules.yaml
TimeoutInMinutes: '5'
DrRds:
Type: AWS::CloudFormation::Stack
DependsOn: DrSecGroupRules
Properties:
TemplateURL: https://s3.amazonaws.com/<redacted>/DrRds.yaml
TimeoutInMinutes: '20'
Normally, CloudFormation will try to build all the stacks at the same time. If one stack requires the IDs of resources from another stack, the DependsOn directive will cause CloudFormation to wait to create that stack until after the required stack is finished.
The TimeoutInMinutes property value was so that I would not wait an hour for a stack to fail. I had a situation where a resource in the Vpc stack was not getting created, but not failing. I think the default wait time in CloudFormation is 60 minutes before declaring a failure ( I think that was a test question somewhere), so I lowered it to reduce the suspense. As I tested each stack individually, I took note of how long it took to build each stack of resources, and set my timeouts accordingly. The RDS stack took the longest, with each database taking about 5 minutes to spin up, which is important to know :-)
At present, I have stacks for VPC, security, load balancers, EFS volumes and databases. I'm working on the individual server stacks, trying to figure out how to get the necessary data from the backups to the EFS volumes and the databases. I may have to build some lambda functions to auto copy AMIs over and update the scripts with the AMI IDs. That bears some consideration, and probably some googling :-)
My disaster recovery drill is scheduled for Friday night, so I have three more days to finish these CloudFormation templates. We'll see how it goes, and as I learn about helper functions and init scripts I'll post it here. Once the CF scripts are done, time to do it all over again in Terraform!