3:21, cab we say that the cloud providers have already built in AI ops services such as for anomaly detection we have aws cost anamoly detection , same as for cost optimization we have aws cost optimizer or trusted advisor ?
Yes, cloud providers like AWS, Azure, and GCP offer built-in AIOps services: Domain-Centric: Focused on specific areas like cost (e.g., AWS Cost Anomaly Detection, Trusted Advisor, Azure Advisor). Domain-Agnostic: General-purpose services like Amazon DevOps Guru, Azure Monitor, and GCP Operations Suite for anomaly detection and operational insights.
QUIZ TIME: Will AI Replace DevOps Engineers? 🤖
Yes 😢
I think Yes but I am sad for other people
It will replace engineers who are not using ai
Please provide some practical implementation with use cases in next video
I'm planning to cover more practical examples and use cases in my next video on AIOps
This is helpful, can we expect more ai videos on devops?
Yes.
Let's get into the trend of AI. Nice start of the millennium Nasi bro!!!!
Thanks bro!
Sir make a video on roadmap of AIops.
Nice video ❤
Glad you found it informative :)
3:21, cab we say that the cloud providers have already built in AI ops services such as for anomaly detection we have aws cost anamoly detection , same as for cost optimization we have aws cost optimizer or trusted advisor ?
Yes, cloud providers like AWS, Azure, and GCP offer built-in AIOps services:
Domain-Centric: Focused on specific areas like cost (e.g., AWS Cost Anomaly Detection, Trusted Advisor, Azure Advisor).
Domain-Agnostic: General-purpose services like Amazon DevOps Guru, Azure Monitor, and GCP Operations Suite for anomaly detection and operational insights.
Are there any specific tools that AiOps engineers should learn?
AI tools in observability space are hot in the space and worth learning.
@@cloudchamp Thank you
This video is better at 1.25x
You sound like AI yourself