Red Hat multi-cluster management & what's new in OpenShift
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The document discusses the features and benefits of Red Hat Advanced Cluster Management for Kubernetes, including improved developer productivity, enhanced application lifecycle management, and centralized control across hybrid cloud environments. It highlights the challenges of managing multiple cloud infrastructures and presents Red Hat's solutions for security and compliance. Additionally, it covers architectural components, deployment processes, and the integration of tools like Quarkus for efficient application development.
Red Hat multi-cluster management & what's new in OpenShift
- 1. 1 February 25th, 2020 Red Hat Advanced Cluster Management for Kubernetes Dieter De Moitié Senior Solution Architect The Kubernetes platform for big ideas Ludovic Aelbrecht Business Development Manager
- 2. 2 Disclaimer The content set forth herein is Red Hat confidential information and does not constitute in any way a binding or legal agreement or impose any legal obligation or duty on Red Hat. This information is provided for discussion purposes only and is subject to change for any or no reason. Disclaimer
- 3. 3 Agenda ▸ What’s new in OpenShift ▸ Introducing Red Hat Advanced Cluster Management for Kubernetes ▸ Demo ▸ Wrap up
- 4. ACM What’s new in OpenShift
- 5. OpenShift Container Platform Developer productivity Cluster services Install ⠇Operators ⠇Over-the-air updates ⠇Monitoring ⠇Logging ⠇Registry ⠇ Storage ⠇Networking ⠇Security | Ingress routing 5 Kubernetes Developer CLI ⠇IDE Plugins & Extensions ⠇ Cloud-native IDE ⠇ Local developer sandbox Service Mesh Serverless ⠇Builds CI/CD Pipelines Log Management ⠇ Cost Management Languages & Runtimes API Mgmt ⠇ Integration⠇ Messaging ⠇ Process Automation Platform services Application services Developer services Build cloud-native apps Manage workloads Multi-cluster management Inventory ⠇Policy ⠇Compliance ⠇Configuration ⠇Workloads Data driven insights Databases ⠇Cache Data Ingestion & Preparation Data Analytics ⠇AI/ML Data Mgmt & Resilience Data services Physical Virtual Private cloud Public cloud Edge OpenShift Kubernetes Engine Advanced Cluster Management OpenShift Container Platform Red Hat Enterprise Linux CoreOS 5
- 6. OpenShift offers the broadest set of hybrid cloud services 6 Red Hat OpenShift Service on AWS Azure Red Hat OpenShift Red Hat OpenShift on IBM Cloud On-premises Red Hat OpenShift Red Hat Managed OCP Customer Managed Developer Efficiency Business Productivity Enterprise Ready Red Hat OpenShift Dedicated Joint offerings with Cloud Provider Offered as a Native Console offering on equal parity with cloud provider Kubernetes service or OCP Customer Managed OpenShift Container Platform
- 7. Containerized virtual machines 7 ● Inherit many features and functions from Kubernetes ○ Scheduling, high availability, attach/detach resources ● Containerized virtual machines have the same characteristics as non-containerized ○ CPU, RAM, etc. limitations dictated by libvirt and QEMU ○ Linux and Windows guest operating systems ● Storage ○ Use Persistent Volumes Claims (PVCs) for VM disks ○ Containerized Data Importer (CDI) import VM images ● Network ○ Inherit pod network by default ○ Multus enables direct connection to external network VMs Containers Red Hat OpenShift Container Platform Red Hat Enterprise Linux CoreOS Physical machine OpenShift Virtualization
- 8. Compact 3-node Clusters on Bare Metal (only) Compact clusters for the Edge ● Allows minimal footprint clusters to be used for developer and Edge deployments ○ Reduces hardware costs and power requirements ● Comprised of just 3 control plane nodes without the need for any additional worker nodes ○ Application workloads are schedulable on the control plane nodes ○ Control plane remains highly available supporting upgrades ● Requires: ○ Setting worker replicas to 0 in install-config will configure master nodes as workers as well (any other value will set them as masters) ○ Temporary bootstrap node for initial cluster bring-up ○ External DNS and LB services ○ HAProxy for *.apps needs to be reconfigured to target masters (ensure health checks are enabled) ● Minimum system resource requirements for each control plane node are cumulative of master and worker requirements: ○ 6 vCPU, 24GB RAM, 200GB Storage ● Additional workers nodes can be added on Day 2 # Edit ‘install-config.yaml’ and ensure worker node replicas is set to ‘0’: - compute: name: worker platform: {} replicas: 0 $ ./openshift-install create ignition-configs --dir=<installation_directory> INFO Consuming Install Config from target directory WARNING Making control-plane schedulable by setting MastersSchedulable to true for Scheduler cluster settings # Install using documented workflow 8
- 9. 9 Control plane Windows application Windows virtual machine Red Hat OpenShift Virtualization Linux containers .NET core containers Linux containers Red Hat Enterprise Linux CoreOS Windows traditional .NET framework containers Windows containers Microsoft Windows Windows App Modernization Windows application Windows virtual machine VMware or other hypervisor 1 2 3
- 10. 10 Windows Machine Config Operator Architecture WMCB CNI Kubelet Kube-proxy Hybrid-overlay Payload Windows machine config operator Watches Windows MachineSet Windows machine Kube-proxy CNI Hybrid-overlay Kubelet Windows virtual machine Windows machine config bootstrapper (WMCB) Configures Installs operator Results in creation of virtual machines Cluster admin On cluster OperatorHub Cluster admin Copy binaries configure services
- 11. Supersonic, Subatomic Java with Quarkus • Optimized Java framework with low memory consumption and blazingly fast first response times • Allows developers to get their job done faster with a low learning curve • Unifies imperative and reactive programming models • Compatible with popular frameworks like Eclipse MicroProfile, select Spring APIs, Hibernate, and more Quarkus provides an effective solution for running Java applications that deal in serverless, microservices, containers, Kubernetes, Serverless, or cloud in general. 11
- 12. 12 When you adopt Quarkus, you will be productive from day one since you don’t really need to learn new technologies. -TalkDesk We could run 3x denser deployments without sacrificing availability and response times of service. -Lufthansa Technik Our trust of Red Hat combined with its credibility in the software market gave us the assurance that we were making the right choice by selecting Quarkus, whose sponsor is Red Hat. -Vodafone Greece
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- 14. 14 Red Hat Advanced Cluster Security for Kubernetes The first Kubernetes-native security platform Secure supply chain Extend scanning and compliance into development (DevSecOps) Secure infrastructure Leverage built-in Kubernetes CSPM to identify and remediate risky configurations Secure workloads Maintain and enforce a “zero-trust execution” approach to workload protection
- 15. ACM Introducing Red Hat Advanced Cluster Management For Kubernetes
- 16. Reasons for deploying clusters Red Hat Advanced Cluster Management for Kubernetes Application availability Reduced latency Address industry standards Geopolitical data residency guidelines Disaster recovery Edge deployments CapEx cost reduction Avoid vendor lock-in 16
- 17. IDC Survey of 200 US-based $1B companies actively using two or more “infrastructure clouds” for production applications 81% Hybrid Multi-Cloud management is really hard 17 Source: DC Multicloud Management Survey, 2019: Special Study, Doc # US45020919, April 2019 *IDC Survey of 200 US-based $1B companies actively using two or more “infrastructure clouds” for production applications As organizations deploy more across multiple clouds, new challenges arise. ▸ Difficult and error prone to manage at scale ▸ Inconsistent security controls across environments ▸ Overwhelming to verify components, configurations, policies, and compliance Using multiple infrastructure clouds* 93% Using multiple public clouds and one or more private/dedicated clouds* Red Hat Advanced Cluster Management for Kubernetes
- 18. Key personas 18 Red Hat Advanced Cluster Management for Kubernetes SRE/DevOps IT Operations SecOps
- 19. Architecture overview 19 Hub architecture and components Red Hat Advanced Cluster Management uses the multicluster-hub operator and runs in the open-cluster-management namespace Managed cluster architecture and components Red Hat Advanced Cluster Management managed clusters use the multicluster-endpoint operator which runs in the open-cluster-management namespace Cluster Lifecycle Red Hat Advanced Cluster Management for Kubernetes IT Operations
- 20. 20 Hub Cluster ● Requires OCP 4.4.x - 4.6.x ○ (managed cluster can be 3.11) ● Operator based installation ● Available on OperatorHub High Availability ● Supports OCP Availability Zone Backup/Restore ● Backup/Restore etcd database of hub OpenShift cluster Installation and foundation Red Hat Advanced Cluster Management for Kubernetes IT Operations
- 21. 21 Robust. Proven. Award winning. Multicluster lifecycle management Policy driven governance, risk, and compliance Advanced application lifecycle management Red Hat Advanced Cluster Management for Kubernetes Multicluster observability for health and optimization
- 22. 22 22 • Centrally create, update and delete Kubernetes clusters across multiple private and public clouds • Search, find and modify any kubernetes resource across the entire domain. • Quickly troubleshoot and resolve issues across your federated domain Unified Multi-Cluster Management Single Pane for all your Kubernetes Clusters
- 23. 23 23 ● Full Management of OCP Kubernetes ○ Install OCP 4.4-4.6 on public cloud, bare metal or vsphere ○ Import any existing OCP 3.11 to 4.6.x ● Public cloud managed kubernetes: EKS, AKS, GKE, IKS, ROKS ● Wizard or YAML based create cluster flow ● Launch to an OCP Console from ACM ● Access cluster login credentials and download kubeadmin configuration Creating & Importing Clusters Multi-Cluster Lifecycle Management IT Operations DevOps/SRE
- 24. 24 ● Troubleshooting across clusters via relationships ● See all unhealthy pods ● See related application models to those pods ● See related Persistent Volumes ● See related secrets ● See related any kube resource object category Multi-Cluster Lifecycle Management Dynamic Search IT Operations DevOps/SRE
- 25. 25 ● Interactive terminal combines command input with visual output ● One Terminal for all ● Works with helm, kubectl, oc, istioctl ● Single interface for multi-cluster ● Drive ops directly from dashboards ● Bash commands allow for grep Multi-Cluster Lifecycle Management Visual Web Terminal IT Operations DevOps/SRE
- 26. 26 26 Policy based Governance, Risk and Compliance • Set and enforce policies for security, applications, & infrastructure • Deep visibility for auditing configuration of apps and clusters • Unique policy capabilities around compliance • Categorize violations based on your standards for immediate visibility into your compliance posture Don’t wait for your security team to tap you on the shoulder Security Ops IT Operations
- 27. 27 27 Policy based Governance, Risk and Compliance ● Standard Policies out of the box ○ FISMA ○ HIPAA ○ NIST ○ PCI ● Leverage Different Categories to Represent more standards (if Needed) ● Use Labels to enforce policies against clusters ● Use inform to view policy violations ● Use enforce to view violations and automatically remediate Don’t wait for your security team to tap you on the shoulder Security Ops IT Operations
- 28. 28 28 Advanced Application Lifecycle Management • Deploy Applications at Scale • Deploy Applications from Multiple Sources and Clusters • Quickly Visualize Application Relationships • Integrate with the Red Hat Ansible Automation Platform Simplify your Application Lifecycle IT Operations DevOps/SRE
- 29. 29 29 Advanced Application Lifecycle Management ● Create, modify & delete, just as you would any source code. Git becomes your source of truth controlling your data center. ● Have a record of who, what & when for every change precipitated in your environments ● Through code Reviews & Approvals, take full control of all changes to your data center(s) ● Restore your environment, via the Git commit history (system of record) GitOps as the source of truth https://github.com/open-cluster-management/demo-subscription-gitops IT Operations DevOps/SRE
- 30. 30 30 Advanced Application Lifecycle Management ● Extending the best of Enterprise into a desired state methodology ● Time Windows: New releases during your maintenance windows ● Rolling Updates: Control the rate and load on your growing infrastructure Subscriptions Bring Enterprise to Kubernetes CHANNELS Objectstorage Kubernetes Resource Templates (deployables) IT Operations DevOps/SRE
- 31. Architecture Overview 31 for Application Lifecycle
- 32. 32 ● Global Query view with Grafana ○ Out of the Box multi cluster health monitoring dashboards ○ PromQL compliant - Build your own queries ● Centralized Database ○ Optimized set of metrics collected from managed clusters ○ Focused on Cluster Management ● Unlimited Data Retention ○ Observe Metric trends ○ Set Alert Patterns ○ Supported Object Storage ■ AWS S3 (and compatible) ■ Ceph for on-premise ■ Google Cloud Storage ■ Azure Storage Multi-Cluster Observability Overview
- 33. ACM Demo
- 34. ACM Wrap up
- 35. Policies can be written by the security team and enforced at each cluster, allowing environments to conform to your policy. Ease compliance Red Hat OpenShift and Red Hat Advanced Cluster Management for Kubernetes Benefits 35 Placement rules can allow quick deployment of clusters across distributed locations for availability, capacity, and security reasons. Increase application availability Self-service provisioning allows app dev teams to request clusters directly from a catalog removing central IT as a bottleneck. Accelerate development to production Centralized management of clusters reduces operational cost, makes the environment consistent, and removes the need to manually manage individual clusters. Reduce costs Red Hat Advanced Cluster Management for Kubernetes
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