Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS Config is a service that allows for the assessment, auditing, and evaluation of the configurations of AWS resources. By continuously monitoring and documenting these configurations, Config facilitates the automation of evaluating recorded settings against desired benchmarks. Users can examine changes in configurations and the interrelationships between AWS resources, explore comprehensive histories of resource configurations, and assess compliance with their internal standards. This functionality streamlines processes related to compliance auditing, security evaluations, change management, and operational issue resolution. Furthermore, AWS Config serves as a key resource for conducting configuration audits and compliance checks for both AWS and external resources. Additionally, it allows for the integration and publication of configurations from third-party resources, including GitHub repositories, Microsoft Active Directory, or any on-premises servers, thereby enhancing the breadth of compliance oversight. Overall, the versatility and capabilities of AWS Config make it an essential tool for managing resource configurations effectively.
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
AWS App Mesh
Alert Logic
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
BOSCO
Bitcanopy
CardinalOps
CorralData
Databricks
Integrations
AWS App Mesh
Alert Logic
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
BOSCO
Bitcanopy
CardinalOps
CorralData
Databricks
Pricing Details
$0.001 per rule evaluation
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/config/
Vendor Details
Company Name
Zipher
Founded
2023
Country
United States
Website
zipher.cloud/
Product Features
Configuration Management
Access Control / Permissions
Application Deployment
Automated Provisioning
Infrastructure Automation
Node Management
Orchestration
Reporting Analytics / Visualization
Task Management