Overview of Azure Arc enabled Kubernetes
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The document discusses Azure Arc, Microsoft's solution for extending Azure management and security capabilities to any infrastructure. Key points include: - Azure Arc allows deploying and managing Kubernetes applications across environments using DevOps techniques and ensuring consistent configuration. - It enables running data services anywhere for latency or compliance reasons and seamlessly managing data assets across on-premises, clouds and edge. - Azure Arc provides a way to centrally organize and govern Kubernetes clusters and servers that may be sprawling across clouds, datacenters and edge from a single place.
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Overview of Azure Arc enabled Kubernetes
- 4. Azure IoT Any edge device Azure Arc Any datacenter, any cloudIntegrated systems Azure Stack Microsoft Azure Management | Security + Identity | App + Data Services | Dev Tools + DevOps
- 5. Deploy and manage Kubernetes applications at scale across environments using DevOps techniques. Ensure that applications are deployed and configured consistently from source control, at scale. At-scale Kubernetes app management Deploy and manage data services where you need it for latency or compliance reasons. Always use the most current technology and seamlessly manage and secure your data assets across on-premises, clouds and edge. Run data services anywhere Get Kubernetes clusters and servers that are sprawling across clouds, datacenters and edge under control by centrally organizing and governing from a single place. Organize and govern across environments Multi-cloud Datacenter & hosted
- 6. benefits Agility Ship apps faster Portability Easily move workloads Rapid scale Scale easily to meet demand Density Achieve resource efficiency
- 7. Azure Templates | Extensions Search | Index | Groups | Tags Logs | Policy | Blueprints RBAC | Locks | Subscriptions Monitoring | Update | Containers | Backup | Security Center | More… Portal Shell Bash CLI Ecosystem Marketplace Azure Resource Manager Azure Services
- 8. Azure Templates | Extensions Search | Index | Groups | Tags Logs | Policy | Blueprints RBAC | Locks | Subscriptions Monitoring | Update | Containers | Backup | Security Center | More… Portal Shell Bash CLI Ecosystem Marketplace Azure Resource Manager Azure Services Local tools
- 9. Azure Policy Active control and governance at scale for your Azure resources Remediate existing resources at scale Automatic remediation resources at deployment time Trigger alerts when a resource is out of compliance Remediate & automate Turn on built-in policies or build custom ones for all resource types Real-time policy evaluation and enforcement Periodic & on-demand compliance evaluation VM In-Guest Policy Enforcement & compliance Apply policies to a Management Group with control across your entire organization Apply multiple policies and & aggregate policy states with policy initiatives Exclusion Scope Apply policies at scale
- 11. Application Container VM Monitoring Solutions Insights Dashboards Views Power BI Workbooks Visualize Metrics Explorer Log Analytics Analyze Alerts Autoscale Respond Event Hubs Ingest & Export APIs Logic Apps Integrate Custom Sources Application Operating System Azure Resources Azure Subscription Azure Tenant Metrics Logs Azure Monitor
- 12. Always current Elastic scale Unified management Unmatched security Cloud billing Automated updates Evergreen SQL Hyperscale on-premises Deploy in seconds Scale up, scale out Automation at scale Single view for on-prem and clouds Use familiar tools Advanced Data Security Azure Policy Role-based Access Control Cloud billing on-premises Cost efficiency Any hardware, any Kubernetes
- 13. Management experiences Azure Portal Azure CLI Azure SDK Azure Arc technologies Azure Azure Resource Manager Azure Arc data RP Azure Arc K8s RP Azure Arc server RP Azure Data Services Wave 1 • SQL • PostgreSQL Azure Arc data controller Kubernetes Azure PaaS Control Azure Arc data agent Azure Arc K8s agent Servers Azure Arc server agent Resource specific tools Cluster provisioning Cluster upgrade and patch management Cluster lifecycle management Cluster monitoring K8s Native Tools Customer locations
Editor's Notes
- #10: Azure policy sits at the core of Azure, and gives you the ability to codify your company policies into the platform. Once core benefit is that, given the rate of innovation of Azure, there are services going live quite often. In Azure, any news service will be able to be governed by Azure Policy from day 1. There are essentially three kinds of policies: Auditing is the one we recommend getting started with. This means that users can use Azure with no restrictions, but if somebody goes against policy you will be able to see the compliance state in an easy to use view. No need to run scripts every 24 hours to check the compliance status. Enforce policies is the next level where essentially you are setting guardrails. This means that if you have an enforced policy, users have to do it that way or they will get a deny error. Remediation is the last type, where you can get back to desired state the resources that are non-compliant. Imagine that you need to have monitoring in your VMs and there are multiple non-complaint ones. You can trigger a remediation policy that will append monitoring to those resources.
- #11: https://www.weave.works/technologies/gitops/
- #12: Here’s a conceptual overview of Azure Monitor. From left to right: Azure Monitor captures monitoring telemetry from a number of sources. Some of these are Azure specific but others are generic – such as app and OS information from VMs. In addition, you can also inject data from custom sources. The telemetry is stored in metrics and logs stores that is centralized, fully managed and optimized for cost and performance. With all the data in one place, Azure Monitor provides a number of value-adds on top of it. You can get the end to end insights that we discussed earlier. It could be for canonical use cases for monitoring applications, container, VM or networks. In addition, we have a range of Monitoring solutions such as SQL analytics for specialized workloads. The idea here is that as a customer, for most of your use cases, you get out of the board monitoring and diagnostics with little to no instrumentation Alternatively, hyou can choose to