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About

Application performance shines when you optimize resources across all your data centers and clouds, all with one software solution. See how your app and infrastructure dependencies affect workload performance with full-stack visibility. Get AI-assisted analytics and resource recommendations to help you proactively address issues before they harm your business. Lower costs, automate workloads and optimize application resources across IT. Our real-time decision engine for hybrid cloud environments helps you do it all, from one place. Have resource recommendations carried out automatically when you want them. Pair with Cisco AppDynamics to combine real-time awareness of business outcomes and user experience with infrastructure automation. Get more insights by integrating with third-party APM tools such as Dynatrace and New Relic. Optimize applications and workloads running on AWS.

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

IT departments in need of a solution to lower costs, automate workloads, and optimize their application resources

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

Cisco
Founded: 1984
United States
www.cisco.com/site/us/en/products/computing/hybrid-cloud-operations/intersight-workload-optimizer/index.html

Company Information

Zipher
Founded: 2023
United States
zipher.cloud/

Alternatives

Alternatives

Pepperdata

Pepperdata

Pepperdata, Inc.

Categories

Categories

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Apache Airflow
Azure Data Factory
Databricks Data Intelligence Platform
Dynatrace
Kubernetes
New Relic
Slack
Splunk AppDynamics
Terraform
dbt

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Apache Airflow
Azure Data Factory
Databricks Data Intelligence Platform
Dynatrace
Kubernetes
New Relic
Slack
Splunk AppDynamics
Terraform
dbt
Claim Cisco Intersight Workload Optimizer and update features and information
Claim Cisco Intersight Workload Optimizer and update features and information
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