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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The Corosync Cluster Engine serves as a robust group communication system equipped with features that facilitate high availability for various applications. This initiative offers four distinct application programming interface capabilities in C. It includes a closed process group communication model that ensures extended virtual synchrony, allowing for the creation of replicated state machines; a straightforward availability manager designed to restart application processes upon failure; an in-memory database for configuration and statistics that enables the setting, retrieval, and notification of changes in information; and a quorum system that alerts applications when a quorum is either established or lost. Our framework is utilized by several high-availability projects, including Pacemaker and Asterisk. We continuously seek developers and users who are passionate about clustering and wish to engage with our project, encouraging a collaborative environment for innovation and improvement.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Asterisk Yes 
C Yes 
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 
Nango Yes 

Integrations

Asterisk No 
C No 
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 
Nango No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook 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 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Corosync

Website

corosync.github.io/corosync/

Vendor Details

Company Name

Google

Country

United States

Website

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

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