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About

Define a new, scalable cloud infrastructure. Exert control and clear structures in your cloud environment by creating separate organizations, defining relationships between users, tenants, and projects, and managing quotas and services. Provision your systems through cloud and virtualization platforms like Red Hat Enterprise Virtualization, Amazon, and Microsoft Azure, set retirement dates, and scale your environment on your terms. Take your real-world environment and simulate what-if scenarios for proactive resource planning and continuous insights into consumption levels to allow detailed chargeback, quotas, and policy creation. Get a handle on performance, capacity, and workloads through SmartState historical and trend analytics for different aspects of your cloud environment. Define the policy state for your environment, and follow up with automatic alerts and responses as your environment changes.

About

Zipher is an autonomous optimization platform specifically designed to improve the performance and cost efficiency of Databricks workloads by eliminating manual tuning and resource management and continuously adjusting clusters in real time. It uses proprietary machine learning models and the only Spark-aware scaler that actively learns and profiles workloads to adjust cluster resources, select optimal configurations for every job run, and dynamically tune settings like hardware, Spark configs, and availability zones to maximize efficiency and cut waste. Zipher continuously monitors evolving workloads to adapt configurations, optimize scheduling, and allocate shared compute resources to meet SLAs, while providing detailed cost visibility that breaks down Databricks and cloud provider costs so teams can identify key cost drivers. It integrates seamlessly with major cloud service providers including AWS, Azure, and Google Cloud and works with common orchestration and IaC tools.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Define a new, scalable cloud infrastructure

Audience

Data engineering and cloud infrastructure teams who run Databricks workloads and want to automate performance tuning and cost optimization with minimal manual effort

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Red Hat
Founded: 1993
United States
access.redhat.com/products/red-hat-cloudforms

Company Information

Zipher
Founded: 2023
United States
zipher.cloud/

Alternatives

Alternatives

Pepperdata

Pepperdata

Pepperdata, Inc.
Nerdio

Nerdio

Adar
MontyCloud DAY2

MontyCloud DAY2

MontyCloud

Categories

Categories

Integrations

Amazon Web Services (AWS)
Microsoft Azure
Apache Airflow
Azure Data Factory
Databricks Data Intelligence Platform
Google Cloud Platform
Google Compute Engine
MayaScale
Microsoft System Center
Rackspace OpenStack
Red Hat Cloud Suite
Red Hat OpenShift
Red Hat Virtualization
ServiceNow
Slack
Terraform
VMware Cloud
VMware vSphere
dbt

Integrations

Amazon Web Services (AWS)
Microsoft Azure
Apache Airflow
Azure Data Factory
Databricks Data Intelligence Platform
Google Cloud Platform
Google Compute Engine
MayaScale
Microsoft System Center
Rackspace OpenStack
Red Hat Cloud Suite
Red Hat OpenShift
Red Hat Virtualization
ServiceNow
Slack
Terraform
VMware Cloud
VMware vSphere
dbt
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Claim Red Hat CloudForms and update features and information
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