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Average Ratings 0 Ratings

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ease
features
design
support

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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

Have you ever considered how Windows allocates physical memory, the extent of file data stored in RAM, or the amount of RAM utilized by the kernel and device drivers? RAMMap simplifies the process of obtaining these insights. It is a sophisticated utility for analyzing physical memory usage that is compatible with Windows Vista and later versions. By utilizing RAMMap, you can gain clarity on Windows' memory management practices, scrutinize the memory consumption of applications, or address specific queries regarding RAM allocation. Moreover, RAMMap features a refresh option that allows you to update the information displayed, and it supports the saving and loading of memory snapshots for further examination. Additionally, you can find definitions for the various labels used within RAMMap and delve into the physical memory allocation strategies employed by the Windows memory manager, enhancing your understanding of system performance and resource distribution.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)

Integrations

Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Google

Country

United States

Website

cloud.google.com/profiler/docs/about-profiler

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

docs.microsoft.com/en-us/sysinternals/downloads/rammap

Product Features

Product Features

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