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About

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

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

Companies looking for a server virtualization and management solution

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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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:

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/autoscaling/

Company Information

Zipher
Founded: 2023
United States
zipher.cloud/

Alternatives

Alternatives

Pepperdata

Pepperdata

Pepperdata, Inc.
Alibaba Auto Scaling

Alibaba Auto Scaling

Alibaba Cloud
Enterpristore

Enterpristore

Logistica Solutions

Categories

Categories

Integrations

Amazon Web Services (AWS)
AWS Secrets Manager
Amazon CloudWatch
Amazon DynamoDB
Amazon EC2
Amazon Fresh
Ant Media Server
Apache Airflow
EC2 Spot
Google Cloud Platform
Jeeva eClinical Cloud
Microsoft Azure
New Relic
Observe
RadiantOne
Slack
Sweven
Terraform
WebLOAD
dbt

Integrations

Amazon Web Services (AWS)
AWS Secrets Manager
Amazon CloudWatch
Amazon DynamoDB
Amazon EC2
Amazon Fresh
Ant Media Server
Apache Airflow
EC2 Spot
Google Cloud Platform
Jeeva eClinical Cloud
Microsoft Azure
New Relic
Observe
RadiantOne
Slack
Sweven
Terraform
WebLOAD
dbt
Claim AWS Auto Scaling and update features and information
Claim AWS Auto Scaling and update features and information
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Claim Zipher and update features and information