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Description
AppScaler CMS is designed to simplify the management, monitoring, and reporting of increasingly intricate distributed networks, enabling users to oversee multiple AppScaler devices from a single management server. This solution equips organizations, distributed enterprises, and service providers with an effective and user-friendly platform for the centralized administration and rapid deployment of AppScaler devices, while also offering real-time monitoring and detailed application performance analytics. With AppScaler CMS, users can ensure governance and adherence to policies through centrally managed configurations, which allow for easy importation of settings from AppScaler devices with just a single click. Additionally, it offers comprehensive policy management for load balancing across all AppScaler devices, along with robust options for configuration backup and restoration. The system also supports firmware upgrades, ensuring devices are consistently updated, and includes role-based access control, allowing for granular permission settings tailored to user requirements. This comprehensive approach makes AppScaler CMS an essential tool for organizations looking to optimize their network management capabilities.
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
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt
Integrations
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Databricks
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
XPoint Network
Founded
2017
Country
Hong Kong
Website
www.xpointnetwork.com
Vendor Details
Company Name
Zipher
Founded
2023
Country
United States
Website
zipher.cloud/
Product Features
Load Balancing
Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers