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@edithpuclla6188 Ай бұрын
Nigel!!
@gauravaws20 3 ай бұрын
How frequently does one spins up a cluster ?
@kubernetesbytes 2 ай бұрын
It depends on the organization. Usually, you will see people using long term clusters, for their test beds and for development. But, new clusters are spun up whenever CICD jobs are triggered for automated testing.
@ayex86 3 ай бұрын
Why 21 sec, where is the full thing?
@kubernetesbytes 3 ай бұрын
Find the link to the full episode here - kzbin.info/www/bejne/ZoaqZJKdnsinebMsi=hwosQ8TVs0K2rc26
@rsu82 6 ай бұрын
Thanks for mention JuiceFS, hope it's helpful. ❤
@kubernetesbytes 6 ай бұрын
Thanks for listening!
@michaeloleary4581 7 ай бұрын
Dan, I love the stuff you talk about. You use different terminology than me, but I see all the same trends as you do in the industry, and the need for multi-cloud, multi-cluster platforms. Great job! I might steal some of your terms :) but I often use the term "platform approach" for what you said about "K8s stop at the platform layer"
@DanDonahue-u7h 7 ай бұрын
Thank you, Michael. Feel free to re-use any term!
@BrandonGrantham-m5j 10 ай бұрын
First off, thanks so much on the session covering AI/ML/DeepLearning and touching on some of the specifics for LLMs . I did want to mention a few items that I have learned when using LLMs in my field as a Cloud Solutions Architect. When I use an LLM to summarise or focus on some text that i’m looking for a general, high level description of a subject (for example: uploading a group of manifest to validate configurations or possible explain the connection between CRDs and the Kubernetes resources), I use this pattern or prompt to confirm that the output is sufficiently valid and not inaccurate. Using the Fact check list pattern:(Definition:a pattern used to identify facts that are critically important to my question that is referring to an uploaded text file). It allows one to have the confidence that the result provided in the response is sufficient and by focusing on those key items, items that are highlighted and allow the requestor to confirm they are accurate. This pattern is one example of using the LLM as a tool to improve the results as intended.
@kubernetesbytes 10 ай бұрын
thats an interesting example. Do you use OpenAI's GPT models or do you host something on your own locally?
@brandongrantham5550 10 ай бұрын
@@kubernetesbytes I do use OpenAI's GPT model. Of course, I'm careful to scrub any manifest or other documents before uploading anything. I also turn off 'training' mode to further restrict the content that might be accessible to OpenAI. I also use the Advanced Data Analysis tool to generate slide decks from documentation or readme files as well.
@susettekloska8850 Жыл бұрын
"Promo SM" ❣️
@shravanashok745 Жыл бұрын
Always fun listening to Viktor. Thanks for this episode 😊
@kubernetesbytes Жыл бұрын
Thank you for being a listener :)
@shravanashok745 Жыл бұрын
Insightful session, thank you!
@kubernetesbytes Жыл бұрын
Thank you for the listen!
@akuityio Жыл бұрын
Thanks for the mention 👌
@kubernetesbytes Жыл бұрын
You guys do some awesome work! Would be great to have you on the pod as well!
@akuityio Жыл бұрын
@@kubernetesbytes sounds great - please reach out to Christian Hernandez on CNCF Slack :)
@brandongrantham5550 Жыл бұрын
Hi guys, Love your podcast. I think your bitly link for your slack invite is bad.
@kubernetesbytes Жыл бұрын
Weird - how about this - bit.ly/k8sbytes
@ashupednekar6989 Жыл бұрын
As an audio only person so far… I must say, Bhavin looks exactly like what I had imagined 😅 Ryan on the other hand, turned out to be much younger than I expected 😁😂
@shaikzoheb3430 Жыл бұрын
Game Changer
@anubhavgupta7155 Жыл бұрын
really enjoyed watching this 😄👍
@kubernetesbytes Жыл бұрын
Thanks for listening !
@charlottesims7196 Жыл бұрын
Promo`SM 💯