Effectively hey everybody, it’s been a minute (or many) since my final weblog put up, however I’m excited to say that the most important mission I’ve been engaged on for the final 18+ months has come to a conclusion (effectively, for me not less than 😉 ) and I’m wanting ahead to investing extra time in blogs, movies, and getting again on the market.
I’ve a number of subjects I’m seeking to dive into, however getting back from Cisco Dwell in Vegas final week, I figured I would as effectively leap on the AI hype practice, chugga chugga chugga, and share a little bit of my very own ideas on the subject.
Let me begin by saying that I’m simply starting to actually dip my toe into the AI pool. There are numerous different engineers already means out within the deep finish, and I hope to swim out and be part of them quickly.
Cisco Dwell 2024 in Vegas was simply the compelling occasion I wanted to step down on step one (to maintain up the metaphor), and I included AI in two of my talks in the course of the week. There was Tips on how to be a Community Engineer in an Synthetic Age within the Cisco U. Theater, an replace to my discuss, “Tips on how to be a Community Engineer in a Programmable Age,” that I first delivered at Cisco Dwell in 2017. After eight years, it felt slightly bittersweet to go away the programmable age behind, however thrilling to be coming into a brand new age. Synthetic Intelligence additionally made a last-minute “bonus” look in my breakout “Programmability Abilities for Engineers Who Don’t Need to Code.”
For these talks, I spent a while pondering by means of how community engineers ought to be enthusiastic about and utilizing AI proper now, and what to probably anticipate for the longer term. I’m not going to undergo all the main points on this weblog put up, however relatively, I wish to focus in on one particular use case that I discovered stunning and a bit thrilling: Utilizing AI to look evaluate your work. Buckle in, and let’s test it out.
Bridget takes Hank to Community Engineering Faculty
One of many examples in “Programmability Abilities for Engineers Who Don’t Need to Code” revolves round creating IPSEC VPN configurations for routers primarily based on a configuration template and spreadsheet of knowledge. I first present how one can use formulation inside the spreadsheet to create the configurations, and later use Ansible and Jinja2 templates to do the identical factor.
As I used to be rehearsing the session, I questioned… May AI do the identical work?
If I’m sincere, I figured it will get shut, however have to be fastened/completed to be achieved. So I crafted this immediate and despatched it to Cisco’s ChatGPT implementation often called “BridgeIT”.
Utilizing the info from the under CSV information,
vpn_name,tunnel_interface,side_1_public_ip,source_network,source_mask,side_2_outside,tunnel_destination,destination_network,destination_mask,preshared_key
VPN_101,GigabitEthernet0/1,203.0.113.101,10.98.128.0,0.0.3.255,GigabitEthernet1/1,198.51.100.33,172.28.11.0,0.0.0.255,ZA788I
VPN_102,GigabitEthernet0/1,203.0.113.102,10.98.128.0,0.0.3.255,GigabitEthernet1/1,198.51.100.34,172.28.12.0,0.0.0.255,AM285I
generate a configuration from every row primarily based on the under jinja2 template
! VPN {{ vpn_name }}
crypto isakmp coverage 10
encryption aes
hash sha256
authentication pre-share
group 14
crypto ipsec transform-set vpn_transform esp-aes esp-sha256-hmac
access-list 100 allow ip {{ source_network }} {{ source_mask }} {{ destination_network }} {{ destination_mask }}
crypto isakmp key {{ preshared_key }} deal with {{ tunnel_destination }}
crypto map {{ vpn_name }} 10 ipsec-isakmp
set peer {{ tunnel_destination }}
set transform-setvpn_transform
match deal with 100
interface {{ tunnel_interface }}
crypto map {{ vpn_name }}
I despatched it away and waited… and waited… and waited. However then this reply got here again:
Primarily based on the offered Jinja2 template and the CSV information, listed here are the generated configurations for every VPN:
For VPN_101:
! VPN VPN_101
crypto isakmp coverage 10
encryption aes
hash sha256
authentication pre-share
group 14
crypto ipsec transform-set vpn_transform esp-aes esp-sha256-hmac
access-list 100 allow ip 10.98.128.0 0.0.3.255 172.28.11.0 0.0.0.255
crypto isakmp key ZA788I deal with 198.51.100.33
crypto map VPN_101 10 ipsec-isakmp
set peer 198.51.100.33
set transform-set vpn_transform
match deal with 100
interface GigabitEthernet0/1
crypto map VPN_101
For VPN_102:
! VPN VPN_102
crypto isakmp coverage 10
encryption aes
hash sha256
authentication pre-share
group 14
crypto ipsec transform-set vpn_transform esp-aes esp-sha256-hmac
access-list 100 allow ip 10.98.128.0 0.0.3.255 172.28.12.0 0.0.0.255
crypto isakmp key AM285I deal with 198.51.100.34
crypto map VPN_102 10 ipsec-isakmp
set peer 198.51.100.34
set transform-set vpn_transform
match deal with 100
interface GigabitEthernet0/1
crypto map VPN_102
I used to be duly impressed. Bridget (as BridgeIT is affectionately often called) understood precisely what I wished and was capable of create the configurations for me completely. Rating one for our artificially clever robotic overlords.
However wait… she wasn’t achieved. The message continued:
Please observe that there’s a typo within the Jinja2 template, particularly within the line the place it says:
set transform-setvpn_transform
There ought to be an area earlier than “vpn_transform”. Right here’s the corrected line that ought to seem within the template:
set transform-set vpn_transformOh man… I had a typo in my template? Inconceivable!!! I rapidly went and checked my immediate and the supply Jinja2 template that I copied for the immediate—a template I’ve utilized in my Ansible demo on this presentation for 2 years.
Positive sufficient, I had a typo. Whoops… boy, did I really feel embarrassed. And should you return and have a look at the configurations that Bridget offered to my immediate, you’ll see that she truly fastened the error and despatched the right configs. Very, very effectively achieved. Rating two and three.
However she nonetheless wasn’t achieved…
Moreover, you would possibly face a difficulty when making use of two completely different crypto maps to the identical interface. Normally, a bodily interface solely helps one crypto map. If it is advisable to help a number of VPNs on the identical interface, you’d sometimes use the identical crypto map identify with completely different sequence numbers for every peer.
Right here’s how one can modify the second crypto map to make use of the identical crypto map identify with a unique sequence quantity (assuming you wish to use the crypto map identify VPN_MAP for each):
For VPN_102 (with a revised crypto map identify and sequence quantity):
! VPN VPN_102
crypto isakmp coverage 10
encryption aes
hash sha256
authentication pre-share
group 14
crypto ipsec transform-set vpn_transform esp-aes esp-sha256-hmac
access-list 102 allow ip 10.98.128.0 0.0.3.255 172.28.12.0 0.0.0.255
crypto isakmp key AM285I deal with 198.51.100.34
crypto map VPN_MAP 20 ipsec-isakmp
set peer 198.51.100.34
set transform-set vpn_transform
match deal with 102
interface GigabitEthernet0/1
crypto map VPN_MAPDiscover that the entry checklist quantity for VPN_102 has been modified to 102 to keep away from battle with the entry checklist for VPN_101. The crypto map sequence quantity for VPN_102 has been set to twenty, differentiating it from the sequence quantity 10 used for VPN_101. When you comply with this method, be sure that all of your VPNs use the identical crypto map identify (VPN_MAP on this case) with completely different sequence numbers.
Okay… this reveals some severe community understanding. Combining a CSV file and a Jinja2 template collectively isn’t that removed from the code help and co-pilot use instances which have been in place for awhile—not likely that a lot of a stretch. And discovering a typo in a configuration template that’s in all probability current in a whole lot of public Web documentation, weblog posts, and coaching examples? Additionally not likely that stunning.
However making this ultimate leap associated to community structure and design… this was actually fairly stunning. I didn’t inform Bridget that every of those configurations can be deployed on particular person routers, so she fairly “fearful” that I used to be seeking to deploy the configs on the identical gadget. And if I did that, it WOULD be a difficulty. Her prompt resolution is cheap, although admittedly follows examples which are additionally effectively documented on the Web.
So what does this imply for us community engineers?
I used to be discussing this instance throughout Cisco Dwell with some attendees, and the analogy of a “peer evaluate” was introduced up. This was a use case for AI in community engineering that I hadn’t formalized in my head but, however had been dancing round with different examples.
There’s a very actual threat of engineers utilizing AI-generated configurations “as is” of their community. It is a dangerous concept for a similar purpose as copying and pasting code from Stackoverflow or one other untrusted Web supply. Earlier than utilizing configurations generated by Bridget or one other generative AI instrument, it’s important to confirm the accuracy. In any other case, you threat turning into one other sufferer to hallucinations or simply inaccuracies from overconfident AI assistants.
Nevertheless, I believe there may be actual potential in utilizing AI as a peer reviewer for configurations and different artifacts we create. Right here, WE, the community engineers, use our data, abilities, and expertise to construct an answer. Then, we ask AI to have a look and supply some suggestions, much like sending it to a co-worker, companion, or Cisco TAC.
This second-set-of-eyes use case is one which I believe engineers ought to take into account making an attempt out for themselves—with a few essential caveats:
- Test together with your firm and group’s AI insurance policies. Lots of the publicly accessible AI instruments take any immediate info despatched to them and use it for future coaching and fine-tuning. Community configurations are thought-about confidential for a lot of firms as there’s a severe safety threat in sharing them publicly.
- I’d nonetheless advocate having one other “natural intelligence” evaluate any important configurations. I’m excited by the potential of AI, and we doubtless will get to some extent the place AI is so correct we are able to depend on it for a lot of use instances, however let’s take the sluggish method to get there.
Effectively, what are your ideas on this use of AI for community engineering? What different use instances are you exploring in your each day work as an engineer? Let me know within the feedback. And keep tuned for extra from me as I proceed to swim into the Synthetic Age!
PS… This weblog put up was written by me, Hank Preston, and never by Bridget or one other AI instrument 🙂
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