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What is IBM Cloud Automation Manager?

IBM® Cloud Automation Manager serves as a dynamic, self-service management tool tailored for multi-cloud ecosystems, functioning on IBM Cloud Private and empowering both developers and administrators to meet the demands of their organizations. This solution facilitates efficient management and service delivery through extensive automation, enabling developers to build applications that comply with corporate standards. By harnessing the capabilities of IBM Watson®, users can enhance their operational environment in mere moments. The platform offers the essential adaptability needed for hybrid IT configurations, boosts productivity through self-service options, and guarantees governance with strong, enforceable policies along with valuable insights to uphold a secure and compliant IT landscape. Additionally, developers benefit from easy self-service access and the capacity to automate the complete application lifecycle using prebuilt automation packs, which ultimately cultivates a more agile and responsive development atmosphere. With these robust features, organizations can simplify their operations while also safeguarding the security and compliance of their IT practices. Furthermore, this comprehensive solution allows for continuous improvement in efficiency, ensuring that businesses can rapidly adapt to changing market demands.

What is AWS Control Tower?

For businesses overseeing multiple AWS accounts and teams, managing cloud configuration and governance can quickly become complex and time-consuming, ultimately obstructing the innovation they strive to enhance. AWS Control Tower presents an efficient approach for creating and overseeing a secure multi-account AWS environment, commonly referred to as a landing zone. By utilizing AWS Organizations, AWS Control Tower not only establishes this landing zone but also supports continuous account governance and management, integrating best practices drawn from AWS’s vast experience with many clients migrating to the cloud. With AWS Control Tower, developers can easily set up new AWS accounts in just a few clicks, ensuring that these accounts comply with broader company policies. Additionally, AWS customers can implement AWS Control Tower to extend governance over both new and existing accounts, while quickly obtaining insights into their compliance status. This functionality allows organizations to shift their focus back to innovation, reducing the burden of operational challenges. Ultimately, AWS Control Tower empowers teams to achieve greater agility and efficiency in their cloud operations.

Media

Media

Integrations Supported

IBM Cloud
Kion
Terraform

Integrations Supported

IBM Cloud
Kion
Terraform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.001 per evaluation
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/us-en/marketplace/cognitive-automation

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/controltower/

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Categories and Features

Cloud Workload Protection

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity

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