Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
VisualVM is a powerful tool used for monitoring and troubleshooting Java applications from version 1.4 onwards, supporting a variety of technologies such as jvmstat, JMX, Serviceability Agent (SA), and Attach API from different vendors. It is designed to meet the diverse needs of application developers, system administrators, quality engineers, and end users alike. For each running process, VisualVM displays essential runtime details including the process ID (PID), main class, arguments supplied to the Java process, JVM version, JDK home directory, JVM flags, and system properties. Additionally, it tracks various performance metrics such as CPU usage, garbage collection (GC) activity, heap and metaspace memory usage, the number of loaded classes, and the count of currently running threads. VisualVM also includes basic profiling features that allow for in-depth analysis of application performance and memory management, offering both sampling and instrumentation profiling options to cater to different analysis needs. This comprehensive set of tools makes VisualVM an invaluable resource for anyone looking to optimize their Java applications effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
Google Cloud Dataflow
Yes
Google Cloud Managed Service for Apache Spark
Yes
Google Cloud Platform
Yes
Google Compute Engine
Yes
Google Kubernetes Engine (GKE)
Yes
Java
No
Integrations
Google Cloud Dataflow
No
Google Cloud Managed Service for Apache Spark
No
Google Cloud Platform
No
Google Compute Engine
No
Google Kubernetes Engine (GKE)
No
Java
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Country
United States
Website
cloud.google.com/profiler/docs/about-profiler
Vendor Details
Company Name
VisualVM
Website
visualvm.github.io