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Description
Assessing the performance of production systems is widely recognized as a challenging task. Efforts to evaluate performance in testing environments often fail to capture the true strain present in a production setting. While micro-benchmarking certain components of your application can sometimes be done, it generally does not reflect the actual workload and behavior of a production system effectively. Continuous profiling of production environments serves as a valuable method for identifying how resources such as CPU and memory are utilized during the service's operation. However, this profiling process introduces its own overhead: to be a viable means of uncovering resource usage patterns, the additional burden must remain minimal. Cloud Profiler emerges as a solution, offering a statistical, low-overhead profiling tool that continuously collects data on CPU usage and memory allocations from your live applications. This tool effectively connects that data back to the specific source code that produced it, allowing for better insights into resource utilization. By utilizing such a profiler, developers can optimize their applications while maintaining system performance.
Description
Reduce your infrastructure expenses by a third, cut data center upgrades by 75%, and reclaim 30% of your engineering time through enhanced resource management strategies. As applications become increasingly intricate, they can overwhelm your teams as they struggle to meet ever-changing demands. Often, when application performance falters, teams find themselves responding too late, addressing issues at a human pace. To prevent service interruptions, businesses may resort to overprovisioning resources, which can lead to expensive miscalculations that fail to yield the desired results. The IBM® Turbonomic® Application Resource Management (ARM) platform helps eliminate this uncertainty, leading to significant savings in both time and finances. By automating essential actions in real-time without the need for human oversight, it ensures the optimal utilization of compute, storage, and network resources for your applications across all layers of the technology stack. Ultimately, this proactive approach allows teams to focus on innovation rather than maintenance.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
HPE OneView
IBM Cloud Pak for Watson AIOps
Microsoft Exchange
Integrations
Azure Marketplace
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
HPE OneView
IBM Cloud Pak for Watson AIOps
Microsoft Exchange
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
Country
United States
Website
cloud.google.com/profiler/docs/about-profiler
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/turbonomic
Product Features
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Cloud Cost Management
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Data Center Management
Audit Trail
Behavior-Based Acceleration
Cross Reference System
Device Auto Discovery
Diagnostic Testing
Import / Export Data
JCL Management
Multi-Platform
Multi-User
Power Management
Sarbanes-Oxley Compliance
Database Monitoring
Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting
IT Alerting
Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications
Virtualization
Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring