After working on AI-powered applications for a while now, we applied a lot of the lessons learned in building our own bot. Johnny, our DevOps chatbot, enables the release manager skip the confusing discussions with the tekkies and master the release process. It’s using NLP, so you don’t feel like talking to a bot, rather to a teammate. In this session you will learn about the building blocks of Johnny, dive into how each plays its part (pointing out reasoning behind our design decisions), and then we’ll get to do a live demo to see how all fits together. A bot framework is used to pass on information to “the brain”, which decodes your message using Natural Language Processing, and if it’s below a configurable certitude threshold comes and asks you for confirmation/clarification. Once the task to be executed is understood, the “brain” goes on to execute it and hand you over the results. Here are some questions you may ask Johnny: “What tickets are ready for QA?”,“Prepare a release candidate and deploy it to QA”,“When did we last install the API in staging?”,“How did the traffic look for the last 36 hours?”,“How many sales are there today compared with last week?”,“What version of the API is installed in production?”,“How many servers are we using now in the integration environment?”,“What is the medium load across the cluster in the last three days.”,“List the last three deployments in the QA environment.”,“Who ordered the update on the CMS in staging?”
gbtekkie
kojiasai
soudai
hide212131
cyberagentdevelopers
minorun365
linkers_tech
kazzpapa3
sugiim
shinichirokawano
non97
bermonpainter
tanoku
hannesfritz
lara
jnunemaker
davidbonilla
philhawksworth
addyosmani
bluesmoon
eileencodes
keathley
jakevdp
![‹#› QUESTIONS? } Efficient architecture. Performance oriented. AI enhanced. [email protected]](https://files.speakerdeck.com/presentations/d8d0a1b7389f4191bdc0e63f12b1e32b/slide_42.jpg){kind=link}