In the cloud-native era, users are increasingly demanding cloud elasticity. In the VM era, the strength of elastic demand is still at the minute level of manual operation. In the container era, it has reached the second level requirement. In the face of different business scenarios, users' expectations and requirements for the cloud are also changing.
Therefore, Alibaba Cloud Native Team and Alibaba DAMO Academy's decision-making intelligent time series team jointly developed the AHPA (Advanced Horizontal Pod Autoscaler) elastic forecasting product. The main starting point of this product is to make "timed planning" based on the detected cycle, and achieve advanced planning through planning. The purpose of expansion is to allow you to truly realize on-demand use while ensuring business stability.
AHPA adaptation scenarios include:
- There are clearly periodic scenarios. Such as live broadcast, online education, game service scenarios, etc.
- Fixed number of instances + elastic bottom. Such as dealing with sudden traffic in normal business, etc.
- Recommended instance number configuration scenarios
So, how should AHPA be configured to unlock the best posture? At 15:00 on June 29 (Wednesday), Li Peng (Yuan Yi), senior R&D engineer of Alibaba Cloud, will announce the answer in the live broadcast room.
Live themes
Live Topic: Best Practices for AHPA Resilience Forecasting
Live time
June 29, 2022 (Wednesday) 15:00
Live guests
Li Peng (Yuan Yi), Senior R&D Engineer of Alibaba Cloud
Introduction to Live Streaming
In cloud-native scenarios, resource capacity is often difficult to predict, and using K8s-native HPA often faces elastic lag and complex configuration issues. The AHPA (Advanced Horizontal Pod Autoscaler) elastic prediction launched by Alibaba Cloud Container Service and the DAMO Academy Decision-Making Time Series Team can automatically identify elastic periods and predict capacity based on historical business indicators, helping you to plan elastically in advance and solve elastic problems. lag problem.
How can AHPA be configured to unlock the best posture? In this live broadcast, we will reveal the answer to you through AHPA resilience forecasting best practices.
you will understand
•Introduction to AHPA resilience prediction •Introduction to indicator sources and AHPA configuration parameters •Applicability of boundary protection •What can be done with noise reduction and algorithm quantile •Typical scenario: from HPA to AHPA •Typical scenario: resilience recommendation
Lock this live now
Click " here " or scan the QR code on the poster to lock the live broadcast
This live broadcast will be broadcast simultaneously on Alibaba Cloud Native Video Account and Alibaba Cloud Native B station live broadcast room, so stay tuned~
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