# Skydive Ansible deployment
These playbooks and roles will deploy skydive, a network topology and protocols
analyzer.
Official documentation for skydive can be found [here](http://skydive.network/documentation/deployment#ansible)
----
## Overview
The playbooks provide a lot of optionalities. All of the available options are
within the role `defaults` or `vars` directories and commented as necessary.
The playbooks are roles contained within this repository will build or GET
skydive depending on how the inventory is setup. If build services are
specified, skydive will be built from source using the provided checkout
(default **HEAD**). Once the build process is complete, all skydive created
binaries will be fetched and deployed to the target agent and analyzer hosts.
Skydive requires a persistent storage solution to store data about the
environment and to run captures. These playbooks require access to an existing
Elasticsearch cluster. The variable `skydive_elasticsearch_uri` must be set in a
variable file, or on the CLI at the time of deployment. *If this option is
undefined the playbooks will not run*.
A user password for `skydive` and the cluster must be defined. The option
`skydive_password` can be set in a variable file or on the CLI. *If this
option is undefined the playbooks will not run.*
Once the playbooks have been executed, the UI and API can be accessed via a web
browser or CLI on port 8082 on the nodes running the Analyzer.
### Balancing storage traffic
Storage traffic is balanced on each analyzer node using a reverse proxy/load
balancer application named Traefik. This system provides a hyper-lightweight,
API-able, load balancer. All storage traffic will be sent through **Traefik**
to various servers within the backend. This provides access to a highly
available cluster of Elasticsearch nodes as needed.
### Deploying binaries or building from source
This deployment solution provides the ability to install **skydive** from
source or from pre-constructed binaries. The build process is also available
for the **traefik** load balancer.
The cluster build process is triggered by simply having designated build nodes
within the inventory. If `skydive_build_nodes` or `traefik_build_nodes` are
defined in inventory the build process for the selected solution will be
triggered. Regardless of installation preference, the installation process is
the same. The playbooks will `fetch` the binaries and then ship them out the
designated nodes within the inventory. A complete inventory example can be seen
in the `inventory` directory.
#### Deploying | Installing with embedded Ansible
If this is being executed on a system that already has Ansible installed but is
incompatible with these playbooks the script `bootstrap-embedded-ansible.sh`
can be sourced to grab an embedded version of Ansible prior to executing the
playbooks.
``` shell
source bootstrap-embedded-ansible.sh
```
#### Deploying | Manually resolving the dependencies
This playbook has external role dependencies. If Ansible is not installed with
the `bootstrap-embedded-ansible.sh` script these dependencies can be resolved
with the `ansible-galaxy` command and the ansible-role-requirements.yml file.
``` shell
ansible-galaxy install -r ansible-role-requirements.yml
```
Once the dependencies are set make sure to set the action plugin path to the
location of the `config_template` action directory. This can be done using the
environment variable `ANSIBLE_ACTION_PLUGINS` or through the use of an
`ansible.cfg` file.
#### Deploying | The environment natively
The following example will use a local inventory and set the required options
on the CLI to run a deployment.
``` shell
ansible-playbook -i inventory/inventory.yml \
-e skydive_password=secrete \
-e skydive_elasticsearch_servers="172.17.24.8,172.17.24.9" \
site.yml
```
Tags are available for every playbook, use the `--list-tags` switch to see all
available tags.
> Because configuration for skydive **must** remain in sync it's recommended
deployers use tags whenever running isolated playbooks and not wanting to
perform a full run. This is a limitation due to the way *in memory* facts
are set and made available at run-time. In order to use `--limit` with
these playbooks fact caching must be enabled.
#### Deploying | The environment within OSA
While it is possible to integrate skydive into an OSA cloud using environment
extensions and `openstack_user_config.yml` additions, the deployment of this
system is possible through the use of an inventory overlay.
> The example overlay inventory file `inventory/osa-integration-inventory.yml`
assumes elasticsearch is already deployed and is located on the baremetal
machine(s) within the log_hosts group. If this is not the case, adjust the
overlay inventory for your environment.
``` shell
# Source the embedded ansible
source bootstrap-embedded-ansible.sh
# Run the skydive deployment NOTE: This is using multiple inventories.
ansible-playbook -i /opt/openstack-ansible/inventory/dynamic_inventory.py \
-i /opt/openstack-ansible-ops/overlay-inventories/osa-integration-inventory.yml \
-e @/etc/openstack_deploy/user_secrets.yml \
site.yml
# Disable the embedded ansible
deactivate
# If using haproxy, run the haproxy playbook using the multiple inventory sources.
cd /opt/openstack-ansible/playbooks
openstack-ansible -i /opt/openstack-ansible/inventory/dynamic_inventory.py \
-i /opt/openstack-ansible-ops/overlay-inventories/osa-integration-inventory.yml \
haproxy-install.yml
```
More on using overlay inventories can be seen in the `overlay-inventory`
directory.
##### Configuration | Haproxy (frontend)
The example overlay inventory contains a section for general haproxy
configuration which exposes the skydive UI internally.
> If the deployment has haproxy_extra_services already defined the following
extra haproxy configuration will need to be appended to the existing
user-defined variable.
``` yaml
- service:
haproxy_service_name: skydive_analyzer
haproxy_backend_nodes: "{{ groups['skydive_analyzers'] | default([]) }}"
haproxy_bind: "{{ [internal_lb_vip_address] }}"
haproxy_port: 8082
haproxy_balance_type: http
haproxy_ssl: true
haproxy_backend_options:
- "httpchk HEAD / HTTP/1.0\\r\\nUser-agent:\\ osa-haproxy-healthcheck"
- service:
haproxy_service_name: traefik
haproxy_backend_nodes: "{{ groups['skydive_analyzers'] | default([]) }}"
haproxy_bind: "{{ [internal_lb_vip_address] }}"
haproxy_port: 8090
haproxy_balance_type: http
haproxy_ssl: true
haproxy_backend_options:
- "httpchk HEAD / HTTP/1.0\\r\\nUser-agent:\\ osa-haproxy-healthcheck"
```
This config will provide access to the web UI for both **skydive** and
**traefik**.
* **Skydive** runs on port `8082`
* **Traefik** runs on port `8090`
##### OpenStack Integration
Skydive can be configured to work with OpenStack. For this to be enabled, a
`clouds.yaml` file must be present on one of the nodes used within the
deployment.
> The default check path for the `clouds.yaml` file is:
`$HOME/.config/openstack/clouds.yaml`
The playbooks will use the `clouds.yaml` file to read nessisary credentials
used to create a new user and role, which will provide the skydive-agents
access to neutron.
When OpenStack integration is enabled, all authentication will be done through
keystone. User access to the skydive UI will be restricted to only users with
the `skydive` role assigned to them.
All available options for the OpenStack integration can be found in the
`defaults/main.yml` file.
### Validating the skydive installation
Post-deployment, the skydive installation can be validated by simply running
the `validateSkydive.yml` playbook.
TODOs:
- [] Setup cert based agent/server auth