Sold by: SpeedscaleÂ
Understand your dependencies, autogenerate realistic mock environments, and simulate production load based on actual traffic.
Overview
Speedscale is a Production Traffic Replication platform that helps engineers build resilient cloud apps. Developers can simulate production conditions, generate load, or simulate 3rd party backends.
Highlights
- Preview kubernetes app performance and spot problems before release
- Autogenerate tests and mocks from sanitized user traffic
- Understand how your application is used by examining user traffic patterns and payloads
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Units | 1 GB of ingest | $115.00 |
Vendor refund policy
Usage-based pricing
Legal
Vendor terms and conditions
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Speedscale
By Appvance
By ShadowTraffic
AI generated from product descriptions
Traffic Replication
Captures and replays actual production traffic for comprehensive system testing
Kubernetes Performance Simulation
Enables performance preview and problem identification in Kubernetes application environments
Test Automation
Automatically generates tests and mock environments from sanitized user traffic data
Traffic Pattern Analysis
Examines user traffic patterns and payload characteristics for detailed system insights
Application Dependency Mapping
Identifies and simulates dependencies between application components and third-party backends
AI-Driven Test Generation
Generative AI technology that autonomously navigates applications and creates thousands of test scripts in minutes
Autonomous Testing Capability
AI Blueprint independently explores and tests websites, web-based apps, mobile applications across all possible user flows
Low-Code Test Automation
Machine learning-assisted test creation with self-healing capabilities and fallback accessors that adapt during test execution
Multi-Level Testing Support
Comprehensive testing across UI, API, microservices, database, IoT, and multi-level datasets with drag & drop and IDE interfaces
Continuous Test Execution
Supports data-driven test scenarios on-demand, scheduled, or triggered in CI/CD pipelines with parallel test execution and cross-browser capabilities
Traffic Simulation
Declaratively generate synthetic data that mimics production traffic across multiple backend systems
Data Generation Capabilities
Supports data generation for Kafka, S3, Postgres, SQL Server, local file systems, cloud storage, and webhooks
Relational Data Modeling
Core library understands relationships between data sets to produce statistically sensible and contextually relevant synthetic data
Configurable Data Generation
Provides controls for volume, velocity, and variety of synthetic data to model real-world traffic patterns
Visual Debugging Interface
Includes built-in Studio visual debugger for inspecting and understanding generated data without terminal log analysis
Standard contract
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