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    Kubernetes Everywhere

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    Migrating and managing Kubernetes across different cloud environments can be complex. The Kubernetes Everywhere Platform simplifies this process for customers, ensuring consistent, resource-efficient and cost-effective operation of their containerised deployments across various cloud environments, including Continent 8 Cloud and Amazon Web Services (AWS) hyper-scale cloud.
    4.5

    Overview

    Continent 8 (C8) technical resources are aligned to deliver and manage a Kubernetes as a service platform. Why Kubernetes Everywhere? With our platform, you can achieve a consistent deployment of Kubernetes workloads across hybrid and multi-cloud environments, giving you the power to manage your workloads regardless of the underlying infrastructure or Kubernetes distribution. Seamlessly manage and deploy Kubernetes across multiple platforms in multiple locations, combining native AWS EKS and ECS services with edge services such as AWS EKS Anywhere, VMware Tanzu, Nutanix NKE, Rancher, and more. Benefit from a cost-effective deployment by running Kubernetes workloads on the Continent 8 Cloud solution complemented with solutions like Database as a Service (DBaaS) and an S3-compatible API for object storage all maintained 24/7 by our Cloud Engineering team, ensuring you get the most out of your investment. Resilient cloud: Simplify Kubernetes workload replication for active/active deployments across cloud environments to enhance edge resilience, minimise outages and optimise customer uptime. Seamless migration: Migrate Kubernetes clusters from one cloud environment to another for immediate testing with minimal downtime. Why Continent 8? Trusted partner: Powering and protecting the largest brands in the betting and gaming industry for over 25 years. AWS specialised: A dedicated team of 30+ AWS certified and AWS trained experts available to deliver and support high touch AWS solutions tailored to each customer's unique requirements.

    Highlights

    • With the Kubernetes Everywhere Platform, we can easily migrate the workloads from one environment to another to quickly enable customers to start testing it out.
    • The Kubernetes Everywhere platform provides a set of tools to help the customer run their Kubernetes workloads across hybrid and multi-cloud environments.
    • With Kubernetes Everywhere we provide a cost-efficient and right-sized environment running on the C8 Cloud, directly maintained by our Cloud Engineering team 24/7

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Kubernetes Everywhere

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    Kubernetes Clusters
    Number of Kubernetes Clusters under management
    $10,000.00

    Vendor refund policy

    This product is not available for refund.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly
    By Continent 8 Technologies
    By Rafay Systems

    Accolades

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    Top
    10
    In Container Workloads
    Top
    10
    In Agile Lifecycle Management
    Top
    10
    In Storage

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    3 reviews
    Insufficient data
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    3 reviews
    Insufficient data
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    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Multi-Cloud Kubernetes Orchestration
    Manages and deploys Kubernetes workloads across hybrid and multi-cloud environments, supporting native AWS EKS, ECS, AWS EKS Anywhere, VMware Tanzu, Nutanix NKE, and Rancher distributions.
    Cross-Cloud Workload Migration
    Enables seamless migration of Kubernetes clusters between cloud environments with minimal downtime for testing and deployment purposes.
    Active-Active Deployment Architecture
    Supports Kubernetes workload replication across multiple cloud environments for active-active deployments to enhance resilience and minimize outages.
    Integrated Cloud Services
    Provides complementary Database as a Service (DBaaS) and S3-compatible object storage API alongside Kubernetes management on Continent 8 Cloud infrastructure.
    24/7 Managed Operations
    Delivers continuous platform maintenance and management through dedicated Cloud Engineering team support for Kubernetes workload operations.
    Multi-Cluster Lifecycle Management
    Enables lifecycle management and blueprinting support for managed Kubernetes services including Amazon EKS, Azure AKS, Rancher, and RedHat OpenShift across multiple regions and accounts.
    GitOps-Based Infrastructure Orchestration
    Supports infrastructure orchestration and application deployment through multi-stage, git-triggered pipelines for automated workflows.
    Zero-Trust Access Control
    Provides controlled and audited access to Kubernetes infrastructure with just-in-time service account creation and user-level credentials management for developers, SREs, and automation systems.
    Policy Management via Open Policy Agent
    Implements Kubernetes security and governance through policy management using the Open Policy Agent (OPA) framework for cluster-wide policy enforcement.
    Disaster Recovery and Migration
    Enables backup and restore capabilities for Kubernetes control plane and application data to support disaster recovery and cluster migration scenarios.
    Hybrid Cloud Management
    Single management plane enabling unified management and workload mobility across data center, public cloud, and edge environments
    Software-Defined Architecture
    Scale-out, software-defined architecture that adapts to virtual hardware and cloud options for consistent operations across multiple environments
    Workload Migration
    Workload migration capability from on-premises to cloud clusters without requiring application refactoring or code modifications
    Kubernetes Deployment
    High-availability Kubernetes cluster deployment at scale with integrated persistent storage capabilities
    Multi-Workload Support
    Platform capability to manage virtualized applications, cloud-native workloads, and AI workloads on a unified infrastructure

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.5
    4 ratings
    5 star
    4 star
    3 star
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    1 star
    50%
    50%
    0%
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    3 AWS reviews
    |
    1 external reviews
    External reviews are from PeerSpot .
    reviewer2021799

    Fault-tolerant orchestration has supported AI workloads and simplifies high-availability operations

    Reviewed on Feb 02, 2026
    Review provided by PeerSpot

    What is our primary use case?

    I cannot definitively say what the main use cases for Kubernetes Everywhere  are since it can be utilized with multiple different projects. It can be used effectively for CI/CD integration with no complexity and is easy to use, providing many benefits.

    Kubernetes Everywhere  is most beneficial when you have machine learning workloads or AI workloads, as it is particularly useful for those scenarios.

    I have very limited use cases with Kubernetes Everywhere and do not have a full scale deployment.

    What is most valuable?

    Kubernetes  has its own fault tolerance and can automatically bring up a pod whenever there are any interruptions. Kubernetes  default functions such as DaemonSets and other features services provide a rich fault tolerance.

    We use Ingress in Kubernetes Everywhere to load balance multiple workloads.

    The initial setup of Kubernetes Everywhere is good, and the documentation provides clear instructions.

    Kubernetes Everywhere is easy to operate when you have a settled environment and easy to manage. It offers high availability and fault tolerance with all high availability features, a rich support of latest technologies, vulnerability management, and easy management.

    What needs improvement?

    I have not been using Kubernetes Everywhere for a long time, but I recently came across it. I have good hands-on experience with Kubernetes from the past three to four years, but with Kubernetes Everywhere for only the past six months.

    Due to poor planning of the application developers and resource management, I have seen crashes, downtimes, and performance issues. Different scenarios have occurred where applications went offline, some applications ran into performance-related issues, and some had connectivity issues. I have to go through these situations and identify the specific case in each instance.

    I have tried to scale it up and scale it out for Kubernetes Everywhere. Unfortunately, Kubernetes Everywhere does not have an automatic scale-up tool, but I have done scaling and scaling down manually.

    It would be a great feature if Kubernetes Everywhere could provide default monitoring and alerting instead of depending on Prometheus and Grafana .

    For how long have I used the solution?

    Past one year.

    What do I think about the stability of the solution?

    Due to poor planning of the application developers and resource management, I have seen crashes, downtimes, and performance issues. Different scenarios have occurred where applications went offline, some applications ran into performance-related issues, and some had connectivity issues. I have had to identify and fix these issues in specific cases.

    How are customer service and support?

    I had issues with our private cloud, and we have a private cloud vendor, which is Mirantis Kubernetes. Multiple cases were raised with them, and unfortunately, they did not have any fixes initially. They eventually came to us with some fixes to address the issues that we encountered.

    For tech support with Kubernetes Everywhere, I would rate it between eight to nine out of ten.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    The initial setup of Kubernetes Everywhere is good, and the documentation provides clear instructions.

    What other advice do I have?

    I do not have hands-on experience with hybrid cloud for Kubernetes Everywhere. I have done some work on-premise, but I am moving toward a hybrid model that is currently in the test phase. As of now, I could not describe any benefits regarding hybrid cloud.

    Managed file transfer and Kubernetes Everywhere are two different use cases, and I do not see major differences between them. I cannot compare both products.

    My overall review rating for Kubernetes Everywhere is eight out of ten.

    reviewer2785698

    Hybrid deployments have unified multi-cloud apps and now demand simpler initial setup

    Reviewed on Dec 22, 2025
    Review from a verified AWS customer

    What is our primary use case?

    One of the main use cases for Kubernetes Everywhere  is deploying applications onto Kubernetes  using different multiple on-premises servers. I use Kubernetes Everywhere  for deploying web applications and AI/ML models.

    How has it helped my organization?

    Kubernetes Everywhere has positively impacted my organization as it can be used for deploying multiple applications, multi-tenancy, and multi-cloud infrastructure. It is very simple.

    What is most valuable?

    The best features Kubernetes Everywhere offers is the ability to deploy once and use everywhere. Deploying is somewhat difficult, but after deploying, usage is very simple and robust.

    It definitely saved a lot of time and money, and it is very effective with speed and has many features that are useful for many applications.

    Kubernetes Everywhere is based on the open-source Kubernetes  tool, so everything that is implemented by Kubernetes open-source should be implemented in Kubernetes Everywhere as well.

    It can be seamlessly integrated with all kinds of storage, security, and other tools.

    It is a very good tool with most of the features taken from Kubernetes open-source, and it works really well, is highly scalable with very low latency.

    What needs improvement?

    Deploying Kubernetes Everywhere infrastructure is somewhat difficult because there are many components that need to be deployed. However, once deployed, using it is very simple, taking the applications and directly deploying them using CI/CD pipelines. It works seamlessly with all kinds of CI/CD pipeline tools.

    For how long have I used the solution?

    I have been using Kubernetes Everywhere for the past three years.

    What do I think about the stability of the solution?

    Kubernetes Everywhere is very stable.

    What do I think about the scalability of the solution?

    Its scalability is excellent.

    How are customer service and support?

    The customer support is good. I would rate the customer support 10 out of 10 as they are really helpful in resolving all the issues when we are facing any problems.

    How would you rate customer service and support?

    Positive

    What was our ROI?

    It saved a lot of money and manpower.

    What's my experience with pricing, setup cost, and licensing?

    It is a very good tool with decent pricing, and it is not overpriced.

    Which other solutions did I evaluate?

    We did not choose any different solution or other tool for Kubernetes.

    What other advice do I have?

    I have provided all the necessary inputs. The review rating is not available.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    reviewer2784369

    Reliable mobile platform has delivered accurate retirement data and reduces incident rates

    Reviewed on Dec 03, 2025
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Kubernetes Everywhere  is for mobile integrations.

    I do not use Kubernetes Everywhere  for patients; this is for mobile channel integrations where we serve our participants financial information about their retirement.

    Kubernetes Everywhere helps with these integrations primarily regarding reliability.

    What makes Kubernetes Everywhere reliable for my team is that, since I mentioned, it's financial information, we have to provide accurate information to our participants, and it's specifically retirement; we do not want to give incorrect data. So, we rely on Kubernetes Everywhere to provide that information accurately so that our participants are not given incorrect information, and it also saves our brand reliability with our participants.

    What is most valuable?

    The best feature Kubernetes Everywhere offers is the reliability feature, which mostly impresses me.

    What makes the reliability stand out for me is uptime and error handling; also, as I mentioned previously, it's providing reliable data, which is very important for us in TIAA because it is the retirement data that we serve, and we do not want to provide anything incorrect to our participants. As this is a 100-year-old company, we want to make sure our participants are given the accurate information, reliable information that they deserve.

    Kubernetes Everywhere has impacted my organization positively by being reliable as well as providing accurate data, maintaining the uptime, which is very important, and making sure we deliver the accurate data that is required by our participants.

    I have seen specific outcomes, with incidents having definitely reduced drastically from what it was a few years back; so certainly, I can see there is more than 25 to 50% reduction in the incidents since adopting Kubernetes Everywhere.

    What needs improvement?

    At this time, I may not have any improvement suggestions; I want to explore more, so the features currently provided satisfy me, but if there is anything Kubernetes Everywhere can share with modernization, that would be great.

    Keeping up with new technologies was exactly on my mind; if we can be provided information about those new technologies that can modernize would be helpful.

    For how long have I used the solution?

    I have been using Kubernetes Everywhere for a couple of years.

    What do I think about the stability of the solution?

    Kubernetes Everywhere is stable.

    What do I think about the scalability of the solution?

    I may not have much more insight into its scalability at this time because, as I have been mentioning in the previous inputs, I'm focused on reliability; hence, at this time, I may have to dig deeper into the scalability aspect of it.

    How are customer service and support?

    The customer support for Kubernetes Everywhere is great.

    I would rate the customer support on a scale of one to ten as an eight.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I may have to check on what solution we previously used before Kubernetes Everywhere, but from the time we switched to Kubernetes Everywhere, it has been reliable and helped with incident reductions.

    How was the initial setup?

    I did purchase Kubernetes Everywhere through the AWS Marketplace .

    What about the implementation team?

    The experience with pricing, setup cost, and licensing is handled by our enterprise pricing team, but what I feel is for the reliability that it provides; I'm sure the pricing would have been according to discussions with the enterprise team.

    What was our ROI?

    I have seen a return on investment; fewer incidents are my main return on investment.

    Which other solutions did I evaluate?

    Before choosing Kubernetes Everywhere, I think we were pretty much interested in it; we went with that option, and in our organization, it's done at the enterprise level, so we were provided Kubernetes Everywhere, which was really great for us to use.

    What other advice do I have?

    My advice for others looking into using Kubernetes Everywhere is to look at its reliability options and how it can help reduce incidents and keep the environment stable. I would rate this review an eight out of ten.

    reviewer2784366

    Platform has reduced downtime and now supports flexible deployment of smaller applications

    Reviewed on Dec 03, 2025
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Kubernetes Everywhere  is just enough cloud computing, which is the main intention why we are using it. Basically, when I say just enough computing, we wanted to deploy into smaller applications and reduce the T3 or kind of servers.

    What is most valuable?

    The best features Kubernetes Everywhere  offers are its multiple ways of isolating applications and spinning them, which stand out to me the most.

    I would like to add that scalability is by default one of the things in Kubernetes Everywhere, and whenever we want, we are able to increase it, which is helping.

    Kubernetes Everywhere has impacted my organization positively because performance-wise, we don't have any downtimes, whereas earlier we used to have downtime. I don't have an estimate of how much our downtime has decreased since using Kubernetes Everywhere, but we tried very hard to minimize the downtime due to SLAs, and with Kubernetes Everywhere, it's effortless downtime avoidance, which is one of the beauties of Kubernetes Everywhere.

    What needs improvement?

    I can think of an improvement for Kubernetes Everywhere in that it should be easier to use from a developer's perspective, as it involves a lot of infrastructure numbers and DevOps. If we can make it something a developer can do, that will be great.

    For how long have I used the solution?

    I have been using Kubernetes Everywhere for the last three years.

    What do I think about the stability of the solution?

    In my experience, Kubernetes Everywhere is stable, and I haven't seen any issues.

    What do I think about the scalability of the solution?

    Regarding scalability, I haven't faced any scalability issues so far.

    How are customer service and support?

    The customer support for Kubernetes Everywhere has been very much lesser needed, and I would say support-wise, it's a 10, even though there's minimal interaction from us.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I previously used very servers before switching to Kubernetes Everywhere.

    What was our ROI?

    I have seen a return on investment with Kubernetes Everywhere in that we need fewer employees for sure, and we reduced the resources, which means money saved.

    Which other solutions did I evaluate?

    Before choosing Kubernetes Everywhere, I didn't evaluate other options much because we thought of Kubernetes , so we went ahead with that.

    What other advice do I have?

    My advice to others looking into using Kubernetes Everywhere is that it ensures scalability and is maintenance-free, meaning whenever we want, we should be able to update and all. I give this product a rating of 10.

    Which deployment model are you using for this solution?

    Private Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

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