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    Red Hat Advanced Cluster Management for Kubernetes

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    Sold by: Red Hat 
    Deployed on AWS
    For North America and regions outside EMEA, Red Hat Advanced Cluster Managment for Kubernetes enables manage your cluster lifecycle, deploy applications, govern configuration with policies and observe and troubleshoot issues in your environment.
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    Overview

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    Cloud-native applications, built with multiple components that can span clusters and even cloud providers, are quickly replacing monolithic applications. As application workloads move from development to production, IT often requires multiple fit-for-purpose Kubernetes clusters to support continuous integration/continuous delivery (CI/CD) of modern software pipelines.

    Cluster sprawl continues as organizations add new clusters configured for specific workloads, placing an increasing strain on traditional IT processes and methodologies. Operations teams need to address a number of scenarios, including:

    • Distributed applications that require fast response time and low latency.
    • Meeting industry standards and geopolitical requirements associated with data residency.
    • Disaster recovery plans that include application movement with data sync.
    • Edge deployments.
    • Capital expenditure (CapEx) cost reduction.
    • Avoiding vendor lock-in.

    Whether organizations are getting started with a single cluster or are already operating in a multicluster environment, there are many challenges.

    Single Cluster: Organizations may want to define configurations and allow multiple team members access to the cluster. This can lead to configuration drift, making them difficult to enforce as organizations scale. Building and deploying applications to a production cluster is typically a manual and error-prone step.

    Multiple Clusters: It is time-consuming, error prone, and difficult to manage clusters and their configurations, as organizations contend with multiple consoles, distributed business applications, and inconsistent security controls across diverse clusters deployed on-premise and in public clouds.

    Geographically Distributed Clusters: Complexity grows when dealing with regional and geo-specific regulations. Organizations need to holistically manage their fleet, whether it is a small business always catering to the local market or a multinational financial institution with many datacenters and geo-political boundaries to navigate.

    Red Hat Advanced Cluster Management for Kubernetes offers end-to-end management, visibility, and control of your Kubernetes investment. It allows you to control the full application lifecycle and desired state configuration and security across multiple datacenters and public cloud environments. Clusters and containerized applications are all visible and managed from a single console, with preconfigured security policies that can be applied consistently, anywhere in the open hybrid cloud. Deploy, run, and move applications automatically across public and private domains based on your specific metadata. Run your operations from anywhere on Red Hat OpenShift, and manage other supported Kubernetes clusters in your fleet.

    Highlights

    • Unified Multicluster Lifecycle Management Customers can create, update, and destroy Red Hat OpenShift and import and manage *KS clusters reliably, consistently, and at-scale using an open source programming model that supports and encourages Infrastructure as Code (IaC) best practices and design principles via GitOps.
    • Customers can apply a Kubernetes desired state policy-based governance approach to automatically monitor and ensure best practices for controls related to security, resiliency, and software engineering. These controls are linked to industry compliance standards using built-in templates or self-imposed corporate standards, and convey security audit posture to the Security Operations team.
    • Customers can give operations teams a better experience with multicluster dashboards from industry-standard open source tooling and provide an overview of fleet health and optimization. Get an overview of multicluster health and optimization using out-of-the-box multicluster dashboards with the ability to store long-term data Get an aggregated view of cluster metrics and alerts centralized at the hub, along with the ability to customize the metrics and dashboards.

    Details

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    Pricing

    Red Hat Advanced Cluster Management for Kubernetes

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (2)

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    Dimension
    Description
    Cost/12 months
    Overage cost
    acm_vcpu_hours
    units of vCPU for ACM
    $62.50
    premium_support
    Premium Support is included. Please use this for on-demand PayGo billing.
    $0.00
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    AI Insights

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    Dimensions summary

    This listing uses contract pricing built around two units. You pay for acm_vcpu_hours, which meters the vCPU capacity used to run the platform across your managed clusters. As your cluster fleet and workloads grow, your vCPU consumption scales, and your cost scales with it. The premium_support unit is a separate line billed on demand through pay-as-you-go, so support charges track actual usage rather than a fixed term. The two units work independently: one covers platform capacity, the other covers support. Together they let you match spending to both your compute footprint and your support needs.

    Top-of-mind questions for buyers

    An acm_vcpu_hour meters one vCPU of capacity used to run the platform for one hour. As you add or manage more clusters and workloads, your vCPU consumption rises. A single hub can manage up to 3,500 OpenShift clusters, and each managed cluster's vCPU usage feeds into your total.
    The two units bill independently and appear together on the same invoice. Acm_vcpu_hours track your platform capacity across managed clusters. Premium_support bills separately on demand through pay-as-you-go. Your platform usage typically drives the larger share, since it scales with your full cluster fleet.
    Yes. The platform manages clusters across datacenter, public cloud, and edge environments from one control plane, including several cloud providers and hypervisors. The acm_vcpu_hours unit meters the vCPU capacity used to run the platform, regardless of where your managed clusters reside.
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    Ratings and reviews

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    1 external reviews
    External reviews are from G2 .
    Computer Software

    Single management dashboard for multiple native or third party cloud clusters.

    Reviewed on Feb 12, 2024
    Review provided by G2
    What do you like best about the product?
    This gives us a single unified dashboard for managing all our Kubernetes clusters, simplifying operations across diverse environments. It provides tools for managing applications across various clusters, supporting DevOps practices and enhancing automation and speed.
    What do you dislike about the product?
    This comes with a price and i feel there should be a free version for small enterprises.
    What problems is the product solving and how is that benefiting you?
    We have Kubernetes clusters across multiple cloud providers and RHACM help me manage them from a single dashboard, reducing time, effort and hassle to mange them seperately. I also use it for enforcing policies across clsuters to ensure compliance.
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