4.7 out of 5 stars
(76 Ratings)
Engineered for peak performance and efficient resource use, KrakenD can manage a staggering 70k requests per second on just one instance. Its stateless build ensures hassle-free scalability, sidelining complications like database upkeep or node synchronization.
In terms of features, KrakenD is a jack-of-all-trades. It accommodates multiple protocols and API standards, offering granular access control, data shaping, and caching capabilities. A standout feature is its Backend For Frontend pattern, which consolidates various API calls into a single response, simplifying client interactions.
On the security front, KrakenD is OWASP-compliant and data-agnostic, streamlining regulatory adherence. Operational ease comes via its declarative setup and robust third-party tool integration. With its open-source community edition and transparent pricing model, KrakenD is the go-to API Gateway for organizations that refuse to compromise on performance or scalability.
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4.5 out of 5 stars
(131 Ratings)
Virtuoso QA is a secure, agentic test automation platform for any browser-based application. Touchstone, our agentic assurance layer, turns your business requirements into tests, then runs, fixes and maintains them as your application changes. More than thirty specialised agents author, generate, triage and self-heal your functional and end-to-end tests, while a deterministic engine executes every run and your team approves every decision that matters. Every release comes with evidence of what was tested, what changed and who approved it. Release Insights shows execution risk and requirement coverage across every journey, and teams can export an Evidence Report in minutes rather than assembling one over weeks. That makes the platform a natural fit for regulated industries like financial services, insurance, healthcare, the public sector and more.
The mission is to set the standard of proof for software releases. AI generates software. Virtuoso QA generates the evidence to trust it.
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Smock-it
Smock-it is a synthetic data generator tailored for Salesforce testing, providing a streamlined solution for creating high-quality test data quickly and securely. This command-line tool allows users to generate data based on customizable templates that reflect their Salesforce schema, supporting both standard and custom objects. Smock-it eliminates the challenge of manually creating data, saving teams valuable time and improving testing accuracy. The platform is designed to scale, making it suitable for both small and large datasets, ideal for stress testing and enterprise-level operations. With built-in compliance to privacy regulations like GDPR and CCPA, Smock-it ensures that no real customer data is used, offering a secure and effective alternative to traditional test data methods. It also automates data refreshes and provides flexible output formats such as CSV, JSON, or direct insertion into Salesforce environments, making it highly versatile for any testing cycle.
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Zunoy MockAPI
Zunoy MockAPI is revolutionizing the way developers create and utilize mock APIs, eliminating the need for a complete backend setup. This tool is especially useful in scenarios where developers are eager to progress without waiting for the actual API to become available, whether for frontend development, testing, or creating prototypes. Users can quickly establish mock endpoints, specify both request and response data, and simulate the functionality of a genuine API, making it incredibly effective for development and testing.
This innovative platform significantly streamlines the workflow for teams, allowing them to work autonomously without being hindered by the readiness of the backend, thus avoiding any delays in progress. With its capabilities, users can test integrations, validate application workflows, and present product concepts, all while receiving realistic API responses. Ultimately, MockAPI serves as an invaluable resource for accelerating development cycles, facilitating app testing, and enabling the creation of prototypes, all while minimizing setbacks associated with an incomplete backend. Moreover, it fosters greater collaboration among team members by ensuring that everyone can contribute without being dependent on backend completion.
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