Sold by: ProphetStor Data Services, Inc.
Deployed on AWS
Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications.
4.6
Overview
Enterprises often lack understanding of the resources needed to support their applications. This leads to either excessive over-provisioning or under-provisioning of resources (CPU, memory, storage). Using machine learning, Federator.ai determines the optimal cloud resources needed to support any workload on OpenShift and helps users find the best-cost instances from cloud providers for their applications.
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Multi-layer workload prediction Using machine learning and math-based algorithms, Federator.ai predicts containerized application and cluster node resource usage as the basis for resource recommendations at application level as well as at cluster node level. Federator.ai supports prediction for both physical/virtual CPUs and memories.
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Auto-scaling via resource recommendation Federator.ai utilizes the predicted resource usage to recommend the right number and size of pods for applications. Integrated with Datadog's WPA, applications are automatically scaled to meet the predicted resource usage.
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Application-aware recommendation execution Optimizing the resource usage and performance goals, Federator.ai uses application specific metrics for workload prediction and pod capacity estimation to auto-scale the right number of pods for best performance without overprovisioning.
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Multi-cloud Cost Analysis With resource usage prediction, Federator.ai analyzes potential cost of a cluster on different public cloud providers. It also recommend appropriate cluster nodes and ins
Highlights
- Up to 70% resource savings
- Increased operational efficiency
- Reduced manual configuration time with digital intelligence
Details
Delivery method
Supported services
Delivery option
FederatorAI-Operator v5.1.1
FederatorAI-Operator v5.1.0-p1
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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Pricing
Pricing is based on a fixed subscription cost. You pay the same amount each billing period for unlimited usage of the product. Pricing is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- Monthly subscription
- $2,000.00/month
Vendor refund policy
We do not currently support refunds, but you can cancel the subscription at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
FederatorAI-Operator v5.1.1
Supported services: Learn more
- Amazon EKS
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Supported Metrics Data Sources
- Prometheus
- Datadog
- Sysdig
- VMware vCenter
- AWS CloudWatch
Supported Platforms
- Kubernetes v1.16.x or later
- Red Hat OpenShift v4.6-4.9
- Amazon AWS/EKS
- Google GCP/GKE
- Microsoft Azure/AKS
- Rancher v2.4.8, 2.5.8, 2.5.9, 2.6.3
- VMware vCenter 5.5, 6.x, 7.x
- IBM Cloud/IKS
- Alicloud
Enhancements in Release 5.1
- Alert notifications monitor clusters, nodes, namespaces, applications, and controllers for a variety of conditions, based on predicted usage. Alerts can be emailed when triggered in addition to being viewed in the portal.
- Automatically discover all namespaces and controllers in a cluster to simplify the process of adding an application.
- Provide the ability to back up and restore the system configuration.
- Define custom price books to calculate hourly operating costs for CPU, memory, and storage for onpremises clusters.
- Support Spot instance recommendations for local VM clusters and AWS clusters without AWS Auto Scaling groups.
- KEDA integration enables Horizontal Pod Autoscaling (HPA) in remote Kubernetes clusters to scale the number of replicas of a container based on the recommendations of Federator.ai.
- Display the CPU, memory, network bytes received, and number of network bytes transmitted resource distribution among different controllers and cluster nodes.
- Various UI enhancements including the addition of tabs on the Predictions and Planning pages to select the resource level.
Additional details
Usage instructions
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Subscribe to the product
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To install Federator.ai, run the command in kubectl client environment with cluster admin privilege. export ECR_URL="709825985650.dkr.ecr.us-east-1.amazonaws.com/prophetstor-data-services/federatorai-standalone:v5.1.1-b2164"; curl -sL https://raw.githubusercontent.com/containers-ai/prophetstor/master/deploy/federatorai-launcher.sh | bash
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Add Inbond Rule TCP/31012 in the Security Group to allow the access of port 31012 and obtain the URL/IP address from the Amazon Container Services console to access the UI later.
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Access the UI using the random generated password in the output of the installation. You can now access GUI through https://<YOUR IP/URL>:31012 The default login credential is admin/<YOUR PASSWORD>
*Refer to the documents for more information:
https://www.prophetstor.com/wp-content/uploads/datasheets/Federator.ai.pdf https://prophetstor.com/wp-content/uploads/documentation/Federator.ai/Latest%20Version/ProphetStor%20Federator.ai%20Quick%20Installation%20Guide.pdf https://prophetstor.com/wp-content/uploads/2022/05/ProphetStor-Federator.ai-v5.1-Installation-Guide.pdf https://prophetstor.com/wp-content/uploads/2022/05/Federator.ai-5.1-User-Guide.pdf https://prophetstor.com/wp-content/uploads/2022/05/Federator.ai-5.1-Release-Notes.pdf
Resources
Vendor resources
Support
Vendor support
ProphetStor provides 24x7x365 support through email. support@prophetstor.com
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.
Similar products
Federator.ai helps enterprises optimize cloud resources, maximize application performance, and save significant cost without excessive over-provisioning or under-provisioning of resources, meeting the service-level requirements of their applications.
Customer reviews
juihsiang C.
Best tool for cloud migration on multi-cloud
Reviewed on Mar 09, 2023
Review provided by G2
What do you like best about the product?
The comparison of potential savings in the multi-cloud environment is based on its accurate application workload predictions. It made a meaningful cost comparison and streamlined our decision-making process for workload migration between different cloud service providers.
What do you dislike about the product?
I really haven't found anything to dislike about Federator.ai. It saves a lot of time for our team on the cloud migration issue.
What problems is the product solving and how is that benefiting you?
It benefits us a lot in cloud migration assessment and resource planning. The setup was easy and I enjoyed their awesome technical support.
ChungHsiung C.
Good experience
Reviewed on Jan 30, 2023
Review provided by G2
What do you like best about the product?
The predictions its machine learning-based engine provides are pretty awesome! Quick, accurate but few resources consumed.
What do you dislike about the product?
Um… I don’t appreciate its console in a dark black color. Haha..
Actually, I like its features and most of its design in the console to provide information.
Actually, I like its features and most of its design in the console to provide information.
What problems is the product solving and how is that benefiting you?
Cost savings of course! Its recommendations fit the demand of applications with minimal resources. Give the thumbs up.
Jason H.
amazing software!!
Reviewed on Jan 18, 2023
Review provided by G2
What do you like best about the product?
Cost savings is the most stunning benefit. Federator.ai shows us cost savings opportunities by avoiding the over-provisioning of resources through its machine-learning predictions and comparing the pricing of resources our operations require from different public clouds.
What do you dislike about the product?
In practice, every siloed business unit has access to the console, which is good for helping unify the business objectives. But we do need multi-tenancy support for avoiding our parameters being touched by other units.
What problems is the product solving and how is that benefiting you?
Thanks to Federator.ai, my team can be warned ahead of time of potential resource shortage before it occurs, which prevents application performance degradation.
Sally L.
A great tool for cloud optimization
Reviewed on Dec 20, 2022
Review provided by G2
What do you like best about the product?
It is impressive to provide visibility of the correlations between applications the resources with quantified figures. It provides a solid base for actionable optimization.
What do you dislike about the product?
Role-based access control to the software is needed so that accounts involved in the project can be managed by different access privileges. It would be better to be multitenant.
What problems is the product solving and how is that benefiting you?
Optimization for cost and performance. The current utilization of resources and its predictions can minimize idle resources but supply enough resources for operations.
David W.
Great AIOps Tool
Reviewed on Dec 19, 2022
Review provided by G2
What do you like best about the product?
Its self-evolved machine-learning algorithms can pretty much accurately capture application workloads. It gives me the confidence to follow its timely recommendations to allocate cloud resources.
What do you dislike about the product?
It’s not a SaaS application, it’s a standalone containerized application running on Kubernetes. Some industries with a strict information security policy, such as banking or telecom, will love it, but I personally prefer SaaS.
What problems is the product solving and how is that benefiting you?
In my company, we’ve got both VM (on-prem) and Kubernetes (cloud) environments, and it is difficult to have a comprehensive view of resource utilization. Federator.ai do release the drudgery of resource management. Resource utilization can be clearly monitored and easily optimized on both on-prem and cloud environments.