Cloud Load Testing
WebLOAD’s flexible deployment options include on-premises, in the cloud or hybrid deployments, allowing R&D and QA organizations to scale their infrastructure for ad-hoc or seasonal needs of load testing. WebLOAD provides three options for running distributed, cloud load testing. These include:
Webload Saas – Fully Managed Cloud Load Testing
Using the WebLOAD SaaS, you can perform cloud load testing without having to install any component in your data center. You log into the WebLOAD SaaS and create or upload scripts, define load plans and execute.
Using our web tools, you can follow the load test execution progress in the Web UI, generate different reports, and analyze performance statistics when the tests complete running.
All components are stored on the WebLOAD SaaS, including your scripts and reports, and can be consumed at any point.
Webload Saas – Private Instance
In addition to the regular SaaS offering, we can create a private WebLOAD instance dedicated to you but fully managed by our team.
The private instance can be set up on RadView’s cloud or alternately on your company’s account with a cloud provider, where you handle the infrastructure costs.
A dedicated instance allows our team to tailor the infrastructure settings and product deployment specifically for your needs. While this offering is typically more expensive it allows much more flexible pricing models.
As with the full SaaS option above, our team manages and maintains the WebLOAD software deployed without you having to install or manage anything on-premises.
Cloud Load Generators With On-Premise Webload
Even if you need WebLOAD installed on premises and managed by your team, you can generate load from the cloud utilizing WebLOAD’s cloud load generators.
In this configuration, the WebLOAD software (development environment, console, reporting) will be installed in your data center, but the load can be generated from any cloud provider, using our load generators.
This entails a fixed cost for the cloud infrastructure and maintaining the software yourself, but it saves you the infrastructure for the load generators which are allocated on demand for ad-hoc or seasonal needs.
