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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
dotMemory serves as a memory profiler for .NET that can be integrated directly into Visual Studio, utilized as an add-on in JetBrains Rider, or operated as an independent application. It enables users to analyze applications compatible with various versions of the .NET Framework, .NET Core, ASP.NET web applications, IIS, IIS Express, Windows services, Universal Windows Platform apps, and more. For macOS and Linux users, dotMemory is available exclusively as a part of JetBrains Rider or as a command-line tool. Furthermore, it allows for the importation of raw memory dumps from Windows, which can be sourced through task manager or process explorer and examined like standard memory snapshots. This capability allows users to leverage advanced features, including automatic inspections and retention diagrams, to enhance their analysis. Gaining insight into memory retention within your application is crucial for effective optimization. In this context, the hierarchy of dominators, which represents objects that solely hold other objects in memory, is visually represented using a sunburst chart, providing a clear overview of memory usage patterns. This visualization aids developers in understanding memory relationships and identifying potential areas for improvement.
API Access
Has API
API Access
Has API
Integrations
.NET
ASP.NET
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
Microsoft IIS
Rider
Visual Studio
Integrations
.NET
ASP.NET
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
Microsoft IIS
Rider
Visual Studio
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$469 per year
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
JetBrains
Country
Czech Republic
Website
www.jetbrains.com/dotmemory/features/
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