SmartBear Releases LoadComplete 4.4
September 21, 2016

SmartBear Software released improvements to LoadComplete, a performance and load testing tool for web applications and sites.

Load testing is typically performed using multiple transactions depicting different usages through the application under test. With LoadComplete 4.4, users can now view the performance of individual transactions in real time as the application is being load tested. This allows for the detection of errors and degradations for particular use cases under stress. Additionally, LoadComplete has expanded support to include load generation from all regions on Amazon’s Elastic Compute Cloud (Amazon EC2). SmartBear continues to make investments to deliver an easy to use load testing solution while remaining cost-effective.

“As test teams increasingly shoulder the added responsibility of carrying out load testing in a rapid development and delivery setting, they need an easy-to-use platform to detect problems quickly,” said Anand Sundaram, VP of Products, Performance Testing and Monitoring. “With this release, LoadComplete provides additional insights in real time to help identify issues before the application goes live.”

Load generation using cloud based instances allows organizations to generate massive amounts of load without complex setup and by avoiding the expenses associated with setting up and owning load testing labs. It also allows for the elastic generation of additional load to simulate traffic spikes with relative ease. LoadComplete customers can now access all Amazon EC2 regions for load generation.

Share this

Industry News

April 03, 2025

StackGen has partnered with Google Cloud Platform (GCP) to bring its platform to the Google Cloud Marketplace.

April 03, 2025

Tricentis announced its spring release of new cloud capabilities for the company’s AI-powered, model-based test automation solution, Tricentis Tosca.

April 03, 2025

Lucid Software has acquired airfocus, an AI-powered product management and roadmapping platform designed to help teams prioritize and build the right products faster.

April 03, 2025

AutonomyAI announced its launch from stealth with $4 million in pre-seed funding.

April 02, 2025

Kong announced the launch of the latest version of Kong AI Gateway, which introduces new features to provide the AI security and governance guardrails needed to make GenAI and Agentic AI production-ready.

April 02, 2025

Traefik Labs announced significant enhancements to its AI Gateway platform along with new developer tools designed to streamline enterprise AI adoption and API development.

April 02, 2025

Zencoder released its next-generation AI coding and unit testing agents, designed to accelerate software development for professional engineers.

April 02, 2025

Windsurf (formerly Codeium) and Netlify announced a new technology partnership that brings seamless, one-click deployment directly into the developer's integrated development environment (IDE.)

April 02, 2025

Opsera raised $20M in Series B funding.

April 02, 2025

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, is making significant updates to its certification offerings.

April 01, 2025

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the Golden Kubestronaut program, a distinguished recognition for professionals who have demonstrated the highest level of expertise in Kubernetes, cloud native technologies, and Linux administration.

April 01, 2025

Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade internal developer portal based on the Backstage project.

April 01, 2025

Platform9 announced that Private Cloud Director Community Edition is generally available.

March 31, 2025

Sonatype expanded support for software development in Rust via the Cargo registry to the entire Sonatype product suite.

March 31, 2025

CloudBolt Software announced its acquisition of StormForge, a provider of machine learning-powered Kubernetes resource optimization.