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Average Ratings 0 Ratings
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
API Access
Has API
Integrations
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
Integrations
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Databarracks
Founded
2003
Country
United Kingdom
Website
databarracks.com
Vendor Details
Company Name
Country
United States
Website
cloud.google.com/profiler/docs/about-profiler
Product Features
Disaster Recovery
Administration Policies
Bare-Metal Recovery
Encryption
Failover Testing
Flexible Data Capture
Multi-Platform Support
Multiple Data Type Support
Offline Storage