Akamai CloudTest vs Speedscale comparison

Soasta's CloudTest rapidly builds realistic test scenarios using real user data, then tests, analyzes and repairs faster. CloudTest's visual test environment and real-time analytics test your website, mobile app and api backend to give you a streaming view of all your performance data while tests run from back-end systems to front end performance.

Speedscale provides a forward-thinking approach for automated testing and observability, enabling developers to enhance application performance by replicating traffic scenarios accurately and efficiently.

Speedscale empowers development teams by offering comprehensive support for cloud-native applications. By simulating production-level traffic without impacting live environments, it allows teams to identify bottlenecks and inefficiencies early in the development process. Its capabilities for capturing and replaying traffic cater to complex testing needs and environments. The seamless integration with CI/CD workflows ensures continuous improvement and optimal performance of user applications. Its insightful analytics offer valuable data to inform decisions and improve deployment strategies.

• Traffic Replay: Capture and replay real traffic scenarios to identify issues proactively.
• Automation: Integration with CI/CD pipelines facilitates automated testing.
• Scalability: Optimized for handling high volumes of traffic without performance degradation.
• Observability: Deep insights into application behavior help in pinpointing performance lags.

• Improved Performance: Early identification of issues leads to quicker resolutions.
• Time Savings: Automation reduces time spent on manual testing.
• Cost Efficiency: Early detection of problems cuts down on costly post-deployment fixes.
• Better Resource Allocation: Frees up team time to focus on innovation rather than troubleshooting.

Speedscale is widely implemented in industries such as finance, healthcare, and technology where maintaining high-stakes applications' robustness and reliability is critical. Its ability to simulate real user interactions ensures that systems can handle demand spikes and maintain operational integrity under stress.