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Description
Auto Scaling is a service designed to dynamically adjust computing resources in response to fluctuations in user demand. When there is an uptick in requests, it seamlessly adds ECS instances to accommodate the increased load, while conversely, it reduces the number of instances during quieter times to optimize resource allocation. This service not only adjusts resources automatically based on predefined scaling policies but also allows for manual intervention through scale-in and scale-out options, giving you the flexibility to manage resources as needed. During high-demand periods, it efficiently expands the available computing resources, ensuring optimal performance, and when demand wanes, Auto Scaling efficiently retracts ECS resources, helping to minimize operational costs. Additionally, this adaptability ensures that your system remains responsive and cost-effective throughout varying usage patterns.
Description
Zipher is an innovative optimization platform that autonomously enhances the performance and cost-effectiveness of workloads on Databricks by removing the need for manual tuning and resource management, all while making real-time adjustments to clusters. Utilizing advanced proprietary machine learning algorithms, Zipher features a unique Spark-aware scaler that actively learns from and profiles workloads to determine the best resource allocations, optimize configurations for each job execution, and fine-tune various settings such as hardware, Spark configurations, and availability zones, thereby maximizing operational efficiency and minimizing waste. The platform continuously tracks changing workloads to modify configurations, refine scheduling, and distribute shared compute resources effectively to adhere to service level agreements (SLAs), while also offering comprehensive cost insights that dissect expenses related to Databricks and cloud services, enabling teams to pinpoint significant cost influencers. Furthermore, Zipher ensures smooth integration with major cloud providers like AWS, Azure, and Google Cloud, and is compatible with popular orchestration and infrastructure-as-code (IaC) tools, making it a versatile solution for various cloud environments. Its ability to adaptively respond to workload changes sets Zipher apart as a crucial tool for organizations striving to optimize their cloud operations.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Databricks
F5 Distributed Cloud DDoS Mitigation Service
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt
Integrations
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Databricks
F5 Distributed Cloud DDoS Mitigation Service
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Alibaba Cloud
Founded
2009
Country
China
Website
www.alibabacloud.com/product/auto-scaling
Vendor Details
Company Name
Zipher
Founded
2023
Country
United States
Website
zipher.cloud/
Product Features
Server Virtualization
Audit Management
Health Monitoring
Live Machine Migration
Multi-OS Virtual Machines
Patching / Backup
Performance Log
Performance Optimization
Rapid Provisioning
Security Management
Type 1 / Type 2 Hypervisor
