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What is Speedscale?

To ensure that your applications run efficiently and maintain superior quality, it's crucial to replicate real-world traffic scenarios during testing. By closely monitoring code performance, you can swiftly pinpoint problems and assure that your application functions optimally before it goes live. Crafting realistic testing environments, performing load tests, and designing intricate simulations of both external and internal backend systems will significantly improve your readiness for production. This approach eliminates the need to create costly new environments for every test, and the integrated autoscaling feature further minimizes cloud costs. You can avoid the hassle of cumbersome, custom frameworks and labor-intensive manual testing scripts, allowing you to release more code in a shorter timeframe. Rest assured that your updates can handle heavy traffic without issues, thus preventing major outages, meeting service level agreements, and ensuring user satisfaction. By effectively mimicking both external systems and internal infrastructures, you achieve testing that is both reliable and economical. There's no longer a requirement to invest in expensive, all-encompassing environments that demand extensive setup times. Transitioning away from outdated systems becomes effortless, guaranteeing a smooth experience for your customers. With these innovative strategies, your application can improve its resilience and performance under a variety of conditions, ultimately leading to a superior product. Additionally, this streamlining of processes allows for a more agile development cycle, empowering teams to innovate and adapt rapidly to changing market demands.

What is Gremlin?

Uncover the vital tools needed to build reliable software confidently using Chaos Engineering techniques. Leverage Gremlin's comprehensive array of failure scenarios to run experiments across your entire infrastructure, which includes everything from bare metal and cloud environments to containerized systems, Kubernetes, applications, and serverless frameworks. You can adjust resources by throttling CPU, memory, I/O, and disk performance, reboot machines, end processes, and even simulate time manipulation. Moreover, you can introduce delays in network traffic, create blackholes, drop packets, and mimic DNS outages, ensuring that your code can withstand unexpected issues. It's also crucial to test serverless functions for possible failures and delays to guarantee resilience. In addition, you can confine the impact of these experiments to particular users, devices, or a specified traffic percentage, allowing for targeted evaluations of your system’s strength. This method provides a comprehensive insight into how your software behaves under various stressors, ultimately leading to more robust applications. By embracing this approach, teams can better prepare for real-world challenges and enhance their system reliability over time.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Datadog
Kubernetes
Amazon EKS
CircleCI
GitHub
GitLab
Istio
JSON
Jenkins
Postman
SUSE CaaS Platform

Integrations Supported

Amazon Web Services (AWS)
Datadog
Kubernetes
Dynatrace
Graphlytic
Microsoft Azure
PuppyGraph
Slack
Sprinkle
VMware vSphere

API Availability

Has API

API Availability

Pricing Information

$0
Speedscale proxymock is a free desktop tool for traffic capture, data analysis, integration with AI coding assistants and api mocking
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Speedscale

Date Founded

2020

Company Location

United States

Company Website

speedscale.com

Company Facts

Organization Name

Gremlin

Date Founded

2016

Company Location

United States

Company Website

www.gremlin.com/product/

Categories and Features

API Testing

Functional Testing
Load Testing
Runtime and Error Detection
Security Testing
Validation Testing

Automated Testing

Not specified

Chaos Engineering

Not specified

Continuous Testing

Not specified

Performance Testing

API Testing
Benchmarking
Historical Reporting
Load Testing
Parallel Testing
Regression Testing

Categories and Features

Automated Testing

Not specified

Chaos Engineering

Not specified

IT Management

Not specified

Software Testing

Not specified

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