Average Ratings 0 Ratings
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
No
API Access
Has API
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
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
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