GSoC 2020 Apache Proposal Apache RocketMQ Scaler for KEDA Application Name : Hien Nguyen University : Haaga-Helia University of Applied Sciences - Bachelor of Information Technology - (Location: Distributed system, Cloud(AWS, Azure) , Golang, Maven, Docker, Kubernetes GSoC - Apache RocketMQ Scaler for KEDA proposal Context KEDA allows for fine-grained autoscaling (including to/from zero) KEDA project for new feature request for scaler for Apache RocketMQ. KEDA is written in Go (gPRC). KEDA has ScaledObject for the service, Metrics adapter, Scaler, Controller. RocketMQ operator deployment

This report documents the results of a security assessment targeting the Vitess software database scaler. Funded by the CNCF / The Linux Foundation, this project was carried out by Cure53 in February 2019 this Cure53 assessment funded by CNCF / The Linux Foundation certify that the Vitess database scaler is secure and robust. This very good outcome is achieved by limiting the attack surface final test report. In light of this February 2019 project, Cure53 concludes that the Vitess database scaler is mature and secure. Therefore, it is deemed fit-for-purpose as far as deployment in modern scalable

Application Component B Component C Component D Component A Component Trait traits manual-scaler ingress For assigning operational features to instances of components. Trait Application Configuration C Component D Trait Trait Trait Component A Trait ApplicationConfiguration name: manual-scaler Defines a configuration of an application, its traits, and additional scopes, such as network

使⽤Scikit-learn进⾏数据标准化 from sklearn.preprocessing import StandardScaler 构建转换器实例 scaler = StandardScaler() 拟合及转换 scaler.fit_transform(X_train) 数据预处理 Z-Score标准化 ?∗ = ? − ? ? ?2 = 1 ? ෍ ?=1 ? (

h>( channelsPerPixel); } FactoryImpl class has the only method. This method creates the scaler object and returns it via the abstract interface. Pay attention that create() method has no generic # with the corresponding compiler flags ko_compile_for_all_implementations(__per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl (x86_64) set(__per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl.cpp) endif() # ... set(kritapigment_SRCS # ... ${__per_arch_rgb_scaler_factory_objs} # ... ) Now

using below code: x_train_scaled = preprocessing.scale(x_train) scaler = preprocessing.StandardScaler().fit(x_train) x_test_scaled = scaler.transform(x_test) Here, we have normalized the training data

h>( channelsPerPixel); } FactoryImpl class has the only method. This method creates the scaler object and returns it via the abstract interface. Pay attention that create() method has no generic # with the corresponding compiler flags ko_compile_for_all_implementations(__per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl (x86_64) set(__per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl.cpp) endif() # ... set(kritapigment_SRCS # ... ${__per_arch_rgb_scaler_factory_objs} # ... ) Now

扩展Workload 可发现、可管理的运维能力：OAM Traits System 发现运维能力 查看能力用法 绑定能力给应用 提前暴露冲突 kubectl get traits crob-scaler –o yaml kubectl apply -f example.yaml 从 CRD 到 Trait CronHPA CRD CronHPA Trait apiVersion: core

h>( channelsPerPixel); } FactoryImpl class has the only method. This method creates the scaler object and returns it via the abstract interface. Pay attention that create() method has no generic # with the corresponding compiler flags ko_compile_for_all_implementations(__per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl (x86_64) set(__per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl.cpp) endif() # ... set(kritapigment_SRCS # ... ${__per_arch_rgb_scaler_factory_objs} # ... ) Now

h>( channelsPerPixel); } FactoryImpl class has the only method. This method creates the scaler object and returns it via the abstract interface. Pay attention that create() method has no generic # with the corresponding compiler flags ko_compile_for_all_implementations(_�per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl (x86_64) set(_�per_arch_rgb_scaler_factory_objs KoOptimizedPixelDataScalerU8ToU16FactoryImpl.cpp) endif() # ��� set(kritapigment_SRCS # ��� ${_�per_arch_rgb_scaler_factory_objs} # ��� )