Ansible Playbook for Cisco ASAv Firewall Topology

More about Ansible network automation with Cisco ASAv and continuous integration testing like in my previous posts using Vagrant and Gitlab-CI.

Network overview:

Here’s my Github repository where you can find the complete Ansible Playbook: https://github.com/berndonline/asa-lab-provision

Automating firewall configuration is not that easy and can get very complicated because you have different objects, access-lists and service policies to configure which all together makes the playbook complex rather than simple.

What you won’t find in my playbook is how to automate the cluster deployment because this wasn’t possible in my scenario using ASAv and Vagrant. I didn’t have physical Cisco ASA firewall on hand to do this but I might add this later in the coming months.

Let’s look at the different variable files I created; first the host_vars for asa-1.yml which is very similar to a Cisco router:

---

hostname: asa-1
domain_name: lab.local

interfaces:
  0/0:
    alias: connection rtr-1 inside
    nameif: inside
    security_level: 100
    address: 10.0.255.1
    mask: 255.255.255.0

  0/1:
    alias: connection rtr-2 outside
    nameif: outside
    security_level: 0
    address: 217.100.100.1
    mask: 255.255.255.0

routes:
  - route outside 0.0.0.0 0.0.0.0 217.100.100.254 1

I then use multiple files in group_vars for objects.ymlobject-groups.ymlaccess-lists.yml and nat.yml to configure specific firewall settings.

Roles:

  • Hostname: The task in main.yml uses the Ansible module asa_config and configures hostname and domain name.
  • Interfaces:  This role uses the Ansible module asa_config to deploy the template interfaces.j2 to configure the interfaces. In the main.yml is a second task to enable the interfaces when the previous template applied the configuration.
  • Routing: Similar to the interfaces role and uses also the asa_config module to deploy the template routing.j2 for the static routes
  • Objects: The first task in main.yml loads the objects.yml from group_vars, the second task deploys the template objects.j2.
  • Object-Groups: Uses same tasks in main.yml and template object-groups.j2 like the objects role but the commands are slightly different.
  • Access-Lists: One of the more complicated roles I needed to work on, in the main.yml are multiple tasks to load variables like in the previous roles, then runs a task to clear access-lists if the variable “override_acl” from access-lists.yml group_vars is set to “true” otherwise it skips the next tasks. When the variable are set to true and the access-lists are cleared it then writes new access-lists using the Ansible module asa_acl and finishes with a task to assigning the newly created access-lists to the interfaces.
  • NAT: This role is again similar to the objects role using a task main.yml to load variable file and deploys the template nat.j2. The NAT role uses object nat and only works if you created the object before in the objects group_vars.
  • Policy-Framework: Multiple tasks in main.yml first clears global policy and policy maps and afterwards recreates them. Similar approach like the access lists to keep it consistent.

Main Ansible Playbook site.yml

---

- hosts: asa-1

  connection: local
  user: vagrant
  gather_facts: 'no'

  roles:
    - hostname
    - interfaces
    - routing
    - objects
    - object-groups
    - access-lists
    - nat
    - policy-framework

When a change triggers the gitlab-ci pipeline it spins up the Vagrant instances and executes the main Ansible Playbook. After the Vagrant instances are booted, first the two router rtr-1 and rtr-2 need to be configured with cisco_router_config.yml, then afterwards the main site.yml will be run.

Once the main playbook finishes for the Cisco ASA a last connectivity check will be execute using the playbook asa_check_icmp.yml. Just a simple ping to see if the base configuration is applied correctly.

If everything goes well, like in this example, the job is successful:

I will continue to improve the Playbook and the CICD pipeline so come back later to check it out.

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Ansible Playbook for Cisco BGP Routing Topology

This is my Ansible Playbook for a simple Cisco BGP routing topology and using a CICD pipeline for integration testing. The virtual network environment is created on-demand by using Vagrant, see my post about Cisco IOSv and XE network simulation using Vagrant.

Network overview:

Here’s my Github repository where you can find the complete Ansible Playbook: https://github.com/berndonline/cisco-lab-provision

You can find all the variables for the interface and routing configuration under host_vars. Below is an example for router rtr-1:

---

hostname: rtr-1
domain_name: lab.local

loopback:
  address: 10.255.0.1
  mask: 255.255.255.255

interfaces:
  0/1:
    alias: connection rtr-2
    address: 10.0.255.1
    mask: 255.255.255.252

  0/2:
    alias: connection rtr-3
    address: 10.0.255.5
    mask: 255.255.255.252

bgp:
  asn: 65001
  neighbor:
    - {address: 10.0.255.2, remote_as: 65000}
    - {address: 10.0.255.6, remote_as: 65000}
  networks:
    - {network: 10.0.255.0, mask: 255.255.255.252}
    - {network: 10.0.255.4, mask: 255.255.255.252}
    - {network: 10.255.0.1, mask: 255.255.255.255}
  maxpath: 2

Roles:

  • Hostname: The task in main.yml uses the Ansible module ios_system and configures hostname, domain name and disables dns lookups.
  • Interfaces: This role uses the Ansible module ios_config to deploy the template interfaces.j2 to configure the interfaces. In the main.yml is a second task to enable the interfaces when the previous template applied the configuration.
  • Routing: Very similar to the interfaces role and uses also the ios_config module to deploy the template routing.j2 for the BGP routing configuration.

Main Ansible Playbook site.yml:

---

- hosts: all

  connection: local
  user: vagrant
  gather_facts: 'no'

  roles:
    - hostname
    - interfaces
    - routing

When a change triggers the gitlab-ci pipeline it spins up the Vagrant instances and executes the main Ansible Playbook:

After the main site.yml ran, a second Playbook is executed for basic connectivity testing cisco_check_icmp.yml. This uses the Ansible module ios_ping and can be useful in my case to validate if the configuration was correctly applied:

If everything goes well, like in this example, the job is successful:

I will continue to improve the Playbook and the CICD pipeline so come back later to check it out.

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Ansible Playbook for Cumulus Linux BGP IP-Fabric and Cumulus NetQ Validation

This is my Ansible Playbook for a Cumulus Linux BGP IP-Fabric using BGP unnumbered and Cumulus NetQ to validate the configuration in a CICD pipeline. I use the same CICD pipeline from my previous post about Continuous Integration and Delivery for Networking with Cumulus Linux but added the Cumulus NetQ validation in the production stage to check BGP and CLAG configuration.

Network overview:

Here’s my Github repository where you find the complete Ansible Playbook: https://github.com/berndonline/cumulus-lab-provision

The variables are split between group_vars and host_vars. Still need to see if I can find a better way for the variables because interface settings for spine and edge switches are in group_vars, and for leaf switches the interface configuration is per host in host_vars. Not ideal at the moment, it should be the same for all devices.

Roles:

  • Hostname: This task changes the hostname
  • Interfaces: This creates the interfaces and bridge (only leafs and edges) configuration. The task uses templates interfaces.j2 and interfaces_config.j2 to create the configuration files under /etc/network/…
  • Routing: The template frr.j2 creates the FRR (Free Range Routing) configuration file. FRR replaces Quagga since Cumulus Linux version 3.4.x
  • PTM: Uses as well an template topology.j2 to generate the topology file for the Prescriptive Topology Manager (PTM)
  • NTP: Ntp and timezone settings

In most of the cases I use Jinja2 templates to generate configuration files. The site.yml is otherwise very simple. It executes the different roles, and triggers the handlers if a change is made by a role.

---

- hosts: network
  strategy: free

  user: cumulus
  become: 'True'
  gather_facts: 'False'

  handlers:
    - name: reload networking
      command: "{{item}}"
      with_items:
        - ifreload -a
        - sleep 10

    - name: reload frr
      service: name=frr state=reloaded

    - name: apply hostname
      command: hostname -F /etc/hostname

    - name: restart netq agent
      command: netq config agent restart

    - name: reload ptmd
      service: name=ptmd state=reloaded

    - name: apply timezone
      command: /usr/sbin/dpkg-reconfigure --frontend noninteractive tzdata

    - name: restart ntp
      service: name=ntp state=restarted

  roles:
    - hostname
    - interfaces
    - routing
    - ptm
    - ntp

Like mentioned in previous posts, I use Gitlab-CI for my Continuous Integration / Continuous Delivery (CICD) pipeline to simulate changes against a virtual Cumulus Linux network using Vagrant. You can find more information about the pipeline configuration in the .gitlab-ci.yml.

Changes in the staging branch will spin-up the Vagrant environment but only executes the the Ansible Playbook:

Cumulus NetQ configuration validation in production:

The production stage in the pipeline spins-up the Vagrant environment and executes the Ansible Playbook, then continues executing the two NetQ checks netq_check_bgp.yml and netq_check_clag.yml to validate the BGP and CLAG configuration:

The result will look like this when all stages finish successfully:

I will continue to improve the Playbook and the CICD pipeline so come back later to check it out.

In my repository I have some other useful Playbooks for config backup and restore but also to collect and remove cl-support.

config_backup.yml

config_restore.yml

cl-support_get.yml

cl-support_remove.yml

Please tell me if you like it and share your feedback.

See my new post about BGP EVPN and VXLAN with Cumulus Linux

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Continuous Integration and Delivery for Networking with Cisco devices

This post is about continuous integration and continuous delivery (CICD) for Cisco devices and how to use network simulation to test automation before deploying this to production environments. That was one of the main reasons for me to use Vagrant for simulating the network because the virtual environment can be created on-demand and thrown away after the scripts run successful. Please read before my post about Cisco network simulation using Vagrant: Cisco IOSv and XE network simulation using Vagrant and Cisco ASAv network simulation using Vagrant.

Same like in my first post about Continuous Integration and Delivery for Networking with Cumulus Linux, I am using Gitlab.com and their Gitlab-runner for the continuous integration and delivery (CICD) pipeline.

  • You need to register your Gitlab-runner with the Gitlab repository:

  • The next step is to create your .gitlab-ci.yml which defines your CI-pipeline.
---
stages:
    - validate ansible
    - staging iosv
    - staging iosxe
validate:
    stage: validate ansible
    script:
        - bash ./linter.sh
staging_iosv:
    before_script:
        - git clone https://github.com/berndonline/cisco-lab-vagrant.git
        - cd cisco-lab-vagrant/
        - cp Vagrantfile-IOSv Vagrantfile
    stage: staging iosv
    script:
        - bash ../staging.sh
staging_iosxe:
    before_script:
        - git clone https://github.com/berndonline/cisco-lab-vagrant.git
        - cd cisco-lab-vagrant/
        - cp Vagrantfile-IOSXE Vagrantfile
    stage: staging iosxe
    script:
        - bash ../staging.sh

I clone the cisco vagrant lab which I use to spin-up a virtual staging environment and run the Ansible playbook against the virtual lab. The stages IOSv and IOSXE are just examples in my case depending what Cisco IOS versions you want to test.

The production stage would be similar to staging only that you run the Ansible playbook against your physical environment.

  • Basically any commit or merge in the Gitlab repo triggers the pipeline which is defined in the gitlab-ci.

  • The first stage is only to validate that the YAML files have the correct syntax.

  • Here the details of a job and when everything goes well the job succeeded.

This is an easy way to test your Ansible playbooks against a virtual Cisco environment before deploying this to a production system.

Here again my two repositories I use:

https://github.com/berndonline/cisco-lab-vagrant

https://github.com/berndonline/cisco-lab-provision

Read my new posts about Ansible Playbook for Cisco ASAv Firewall Topology or Ansible Playbook for Cisco BGP Routing Topology.

Continuous Integration and Delivery for Networking with Cumulus Linux

Continuous Integration – Continuous Delivery (CICD) is becoming more and more popular for network automation but the problem is how to validate your scripts and stage the configuration because you don’t want to deploy untested code to a production system. Especially in networking that could be pretty destructive if you made a mistake which could cause a loss in connectivity.

I spend some days working on a Cumulus Linux lab using Vagrant which I use to stage configuration. You find the basic Ansible playbook and the gitlab-ci configuration for the Cumulus lab in my Github repo: cumulus-lab-provision

For the continuous integration and delivery (CI/CD) pipeline I am using Gitlab.com and their Gitlab-runner which is running on my server. I will not get into too much detail what is needed on the server, basically it runs vargant, libvirt (kvm), virtualbox, ansible and the gitlab-runner.

  • You need to register your Gitlab-runner with the Gitlab repository.

  • The next step is to create your .gitlab-ci.yml which defines your CI-pipeline.
---
stages:
    - validate ansible
    - staging
    - production
validate:
    stage: validate ansible
    script:
        - bash ./linter.sh
staging:
    before_script:
        - git clone https://github.com/berndonline/cumulus-lab-vagrant.git
        - cd cumulus-lab-vagrant/
        - python ./topology_converter.py ./topology-staging.dot
          -p libvirt --ansible-hostfile
    stage: staging
    script:
        - bash ../staging.sh
production:
    before_script:
        - git clone https://github.com/berndonline/cumulus-lab-vagrant.git
        - cd cumulus-lab-vagrant/
        - python ./topology_converter.py ./topology-production.dot
          -p libvirt --ansible-hostfile
    stage: production
    when: manual
    script:
        - bash ../production.sh
    only:
        - master

In the gitlab-ci you see that I clone the cumulus vagrant lab which I use to spin-up a virtual staging environment and run the Ansible playbook against the virtual lab. The production stage is in my example also a vagrant environment because I had no physical switches for testing.

  • Basically any commit or merge in the Gitlab repo triggers the pipeline which I define in the gitlab-ci.

  • You can see the details in the running job. The first stage is only to validate that the YAML files have the correct syntax.

  • Here the details of the running job of staging and when everything goes well the job succeeded.

  • The last stage is production which needs to be triggered manually.

  • After the changes run through all defined stages you see that you successfully validate, staged and deployed your configuration to a cumulus production system.

This is a complete different way of working for a network engineer but the way it goes in fully automated datacenter network environments. It gets very powerful when you combine this with the Cumulus NetQ server to validate the state of your switch fabric after you run changes in production.

The next topic I am working on, is using Cumulus NetQ to validate configuration changes.

Here again my two repositories I use:

https://github.com/berndonline/cumulus-lab-vagrant

https://github.com/berndonline/cumulus-lab-provision

Read my new posts about an Ansible Playbook for Cumulus Linux BGP IP-Fabric and Cumulus NetQ Validation and BGP EVPN and VXLAN with Cumulus Linux.