## Best practices for building Kubernetes Operators Patryk Wasielewski ## About me DevOps Consultant at Amazon Web Services (AWS) - 6 years professional experience as DevOps / SRE / Developer • Cloud-native Agenda • Controllers, Operators? What are Those? • Validation & Defaulting Finalizers • Local Clusters and testing units • Loose thoughts? • Useful links ## Controllers, Operators? What are those? resource path per CRD version CRDs/Resources are CRUD • CR can be named space or cluster-structured • CRDs are cluster-scoped • Deleting a namespace with CRs results with cascading deletion of those

## Scaling a Multi-Tenant k8s Cluster in a Telco Pablo Moncada eBPF Summit October 28, 2020 ## About MasMovil group • 4th telecom company in Spain - Provides voice and broadband services to +12M customers

1.1. 关于此版本 ..... 3 1.1.1. 致谢 ..... 3 1.1.2. 已过时的功能 ..... 3 1.2. 新功能及功能增强 ..... 5 1.2.1. Operators ..... 5 1.2.1.1. Operator Lifecycle Manager (OLM) ..... 5 1.2.2. 安装和升级 ..... 5 1.2.2.1. OperatorHub 6 1.2.4. 扩展 ..... 6 1.2.4.1. 集群的限制 ..... 6 1.2.4.2. Node Tuning Operator ..... 7 1.2.5. Cluster Monitoring ..... 7 1.2.5.1. 基于定制的 metrics API 对 pod 进行横向的自动扩展 (技术预览) ..... 7 1.2.5.2. 新的提示用户界面 7. Registry ..... 8 1.2.7.1. registry 现在由一个 Operator 管理 ..... 8 1.2.8. 网络 ..... 8 1.2.8.1. Cluster Network Operator (CNO) ..... 8 1.2.8.2. OpenShift SDN ..... 8 1.2.8.3. Multus ..... 8 1.2.9

RKE Kubernetes cluster using CSI Driver on DELL EMC PowerFlex September 2021 H18899 White Paper ## Abstract This white paper describes the deployment of a SUSE Rancher Kubernetes Cluster on the Dell SUSE Rancher Kubernetes cluster .....13 PowerFlex Container Storage Interface driver .....25 Steps to install CSI drives for PowerFlex .....26 Rancher Kubernetes Cluster Data Protection using PowerProtect applications within a Kubernetes cluster, that can survive the lifetime of a pod or the node it is running on. SUSE Rancher is a Kubernetes management platform that simplifies the cluster installation and operations

Objects • 4. Operators • 4.1. Assignment operator 4.2. Arithmetic operators o 4.3. Compound assignment operators o 4.4. Comparison operators o 4.5. Range operators • 4.6. Logical operators • 5. Conditionals 4. Operators We can use a wide set of operators to operate on values. We can divide operators in many categories. The first is the number of targets: 1 for unary operators, 2 for binary operators or can divide operators based on the kind of operation they perform: • assignment operator • arithmetic operators • compound assignment operators • comparison operators • range operators • logical operators

Greenplum Kubernetes 101 Greenplum for Kubernetes Components Greenplum Operator Greenplum Cluster Demo ## Greenplum ## Massively Parallel Postgres ## Run your analytics anywhere you need it Kubernetes ## Massively Parallel Postgres on Kubernetes ## Components • Greenplum Operator • Greenplum Cluster ## Greenplum Operator  Greenplum Cluster ## Greenplum Cluster master-0 master-1 ![Image](/uploads/documents/0/5/3/c/053c197024780d67e29f372a5b9149ee/p17_1

Analytics Spring 2020 2/11: Windows and Triggers Vasiliki (Vasia) Kalavri vkalavri@bu.edu ## Window operators • Practical way to perform operations on unbounded input • e.g. joins, holistic aggregates • addSource(...) } } ### Keyed vs. non-keyed windows Window operators can be applied on a keyed or a non-keyed stream: • Window operators on keyed windows are evaluated in parallel • Non-keyed windows

Brokers 12 1.4 Tasks 16 1.5 Groups 24 1.6 Iterable 26 1.7 Chains 28 1.8 Schedules 30 1.9 Cluster 33 1.10 Monitor 35 1.11 Admin pages 38 1.12 Architecture 41 1.13 Examples 43 Python Module groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: module by Giampaolo Rodola', is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster

Brokers 12 1.4 Tasks 15 1.5 Groups 23 1.6 Iterable 25 1.7 Chains 27 1.8 Schedules 28 1.9 Cluster 32 1.10 Monitor 34 1.11 Admin pages 37 1.12 Architecture 40 1.13 Examples 42 Python Module groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: module by Giampaolo Rodola', is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster

org) 1 Features 3 1.1 Installation 3 1.2 Configuration 4 1.3 Tasks 7 1.4 Schedules 13 1.5 Cluster 16 1.6 Monitor 21 1.7 Admin pages 24 1.8 Examples 26 Python Module Index 31 Django Q is hooks and groups • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis broker • Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django module by Giampaolo Rodola', is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster