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What is IBM Turbonomic?

Cut your infrastructure costs by one-third, reduce data center upgrades by a whopping 75%, and recover 30% of your engineering hours with improved resource management techniques. As applications grow more complex, they often place a heavy burden on teams striving to adapt to fluctuating demands. When application performance dips, teams frequently react too slowly, tackling issues at a pace that doesn't match the urgency required. To avoid service disruptions, businesses may end up overprovisioning resources, resulting in costly miscalculations that do not achieve the intended outcomes. The IBM® Turbonomic® Application Resource Management (ARM) platform alleviates this unpredictability, providing substantial savings in both time and costs. By automating critical actions in real-time with no need for human intervention, it maximizes the effective use of computing, storage, and network resources for your applications throughout all levels of the technology stack. This forward-thinking method empowers teams to prioritize innovation instead of merely managing maintenance tasks, ultimately fostering a more productive environment. Embracing such solutions not only enhances operational efficiency but also drives greater organizational agility.

What is Pepperdata?

Pepperdata's autonomous, application-level cost optimization achieves significant savings of 30-47% for data-heavy tasks like Apache Spark running on Amazon EMR and Amazon EKS, all without requiring any modifications to the application. By utilizing proprietary algorithms, the Pepperdata Capacity Optimizer effectively and autonomously fine-tunes CPU and memory resources in real time, again with no need for changes to application code. The system continuously analyzes resource utilization in real time, pinpointing areas for increased workload, which allows the scheduler to efficiently allocate tasks to nodes that have available resources and initiate new nodes only when current ones reach full capacity. This results in a seamless and ongoing optimization of CPU and memory usage, eliminating delays and the necessity for manual recommendations while also removing the constant need for manual tuning. Moreover, Pepperdata provides a rapid return on investment by immediately lowering wasted instance hours, enhancing Spark utilization, and allowing developers to shift their focus from manual tuning tasks to driving innovation. Overall, this solution not only improves operational efficiency but also streamlines the development process, leading to better resource management and productivity.

Media

Media

Integrations Supported

Azure Marketplace
HPE OneView
IBM Cloud Pak for Watson AIOps
Microsoft Exchange

Integrations Supported

AWS Marketplace
Amazon EKS
Amazon EMR
Apache Spark
Google Cloud Managed Service for Apache Spark

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/turbonomic

Company Facts

Organization Name

Pepperdata, Inc.

Date Founded

2012

Company Location

United States

Company Website

www.pepperdata.com

Categories and Features

AIOps

Not specified

Cloud Cost Management

Not specified

Cloud Management

Not specified

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Database Monitoring

Not specified

IT Alerting

Not specified

IT Automation

Not specified

Virtualization

Data Mobility
Desktop Virtualization
Performance Management

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Auto Scaling

Not specified

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

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