Watermelon

Watermelon Software provides enterprises with an AI-based, no-code platform designed to build and manage software reliability across the application lifecycle, ensuring consistent reliability at all times.

The platform is purpose-built for enterprises operating at scale. Their platform is trusted by some of the largest organisations, including regulators, banks, insurance companies, and payment systems.

Software reliability is fundamental to all businesses. Their platform enables enterprises to achieve reliability in a holistic manner, covering all core areas of the Software Development Lifecycle (SDLC), including design, code, testing, release, and operations. The platform's comprehensive capabilities around Functional Testing, API Testing, Service Virtualisation, Chaos Engineering and Autonomous Ops (SLO) ensures a seamless experience and reliable outcomes.

Their focus with AI is both viable and valuable. The AI capabilities of their platform are tailored to deliver practical outcomes that fundamentally assist users while maintaining a strong emphasis on information security and data governance.

Key Benefits of Watermelon Software:

• Complete and Unified: Covers all aspects of the SDLC—design (architecture), code, testing, release, and operations— bridging silos.
• No-Code Platform: Since it's absolutely no code, it lowers barriers to entry, encouraging widespread usage and adoption.
• Scalable Solution: Supports a wide range of users concurrently without compromising performance.
• Simple Licensing: Designed to promote adoption through straightforward licensing mechanisms.
• Continuous Innovation: Customer feedback and suggestions are carefully evaluated and, when feasible, incorporated into the product roadmap.
• Valuable and Viable AI: The AI capabilities of their platform are tailored to deliver practical outcomes that fundamentally assist users while maintaining a strong emphasis on information security and data governance that enterprises are usually subjected to.

Watermelon Software is a global company with offices in Singapore, India and the United States of America. Their support is global and adopts the “follow the sun policy” to make sure support is available at all times to customers globally across different time zones.

They aim to achieve the above objectives while introducing new ways to work keeping the Site Reliability Engineering principles in mind. Key practices that they will embed into their technology ecosystem are shared below.

AI Driven Functional Testing

Their no-code testing module sets new industry benchmarks with advanced AI-powered solutions for Web, Mobile, Mainframes/AS400, Desktop, and Legacy applications. It not only addresses common testing hurdles but enhances the entire process with a focus on reliability, leveraging state-of-the-art Observability Driven Testing principles. This is a transformative step toward achieving software excellence across platforms.

Key Features:

• A versatile no-code testing module for Web, Mobile, Mainframes/AS400, Desktop, and Legacy systems.
• AI-driven capabilities for quick test creation and effortless maintenance.
• Early performance insights paired with automated regression testing.
• Data-driven testing to ensure accuracy and adaptability.
• No-code workflows supporting hundreds of complex actions (beyond UI testing) for seamless application interactions.

No Code API Testing

Watermelon’s AI-powered API module offers a no-code solution for thorough testing, covering both technical and business validations. It simplifies the process with data-driven and chained API testing while automatically generating test cases across six categories, ensuring efficient and effective testing without the need for coding.

Key features include:

• Functional and integration testing of APIs through a user-friendly interface.
• Support for chained testing, data-driven scenarios, and automated test case generation.
• Handling complex data types and formats seamlessly.

Chaos Engineering

Watermelon's Chaos Engineering module identifies system vulnerabilities early in the lifecycle with over 200 failure injection scenarios spanning on-premise and cloud platforms. It simulates failures in intricate business processes and automatically links them to customer experience, ensuring robust and reliable systems.

Key features include:

• Simulation of real-world failures across IT systems to evaluate application resilience.
• Composite and complex Failure injection across on-premise systems, AWS, Azure, GCP, OpenShift/Kubernetes.
• A library of 200+ pre-configured experiments.
• Seamless integration with functional testing, enabling parallel execution with chaos experiments.
• Reliability scoring and deep performance insights out-of-the-box.

SLO Management

Watermelon's advanced SLO Management platform harnesses data from APM tools, log ingestion systems, databases, and cloud monitoring solutions to proactively ensure the reliability of business journeys. By focusing on Service Level Objectives (SLOs), it provides valuable insights and drives processes to achieve robust system reliability.

Key features include:

• Monitoring Service Level Objectives (SLOs) through seamless data integration from APM tools, logs, and databases.
• Over 15 Observability data connectors to collect, harmonize and generate insights to manage Reliability proactively.
• Managing SLOs across services, groups of services and journeys with data spanning multiple Observability tools seamlessly.
• Tracking service reliability and anticipating incidents before they happen.

Service Virtualisation

Watermelon’s Service Virtualisation (SV) module allows organisations to simulate and test dependent systems, such as REST and SOAP services, without needing access to the actual systems. By virtualising these services, teams can accelerate development, testing, and deployment processes while minimising dependency/ environment-related risks and costs. WM SV provides high-fidelity replication of the functionality, performance, and behaviour of target services. It enables testing environments to simulate dependencies, supporting parallel development and testing cycles (both functional and performance) efficiently.