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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Cloud computing serves as an excellent solution for disaster recovery. Often, the need for computing resources can fluctuate significantly, remaining low for extended periods before suddenly increasing for brief intervals. With Disaster Recovery as a Service (DRaaS), you incur costs only when these resources are actively needed. The principle is quite straightforward; historically, IT disaster recovery involved duplicating your entire physical setup and switching to it during outages. In contrast, we now focus on replicating essential systems and data, activating additional resources only during necessary times, such as for testing or failover events. This modern approach not only reduces expenses but also enhances speed, efficiency, and adaptability. Ultimately, leveraging cloud solutions for disaster recovery allows businesses to respond more effectively to unexpected challenges while managing costs.

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

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 

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 

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) Yes 
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

Databarracks

Founded

2003

Country

United Kingdom

Website

databarracks.com

Vendor Details

Company Name

Google

Country

United States

Website

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

Product Features

Disaster Recovery

Administration Policies No 
Bare-Metal Recovery Yes 
Encryption No 
Failover Testing Yes 
Flexible Data Capture Yes 
Multi-Platform Support Yes 
Multiple Data Type Support No 
Offline Storage No 

Product Features

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