Systems | Development | Analytics | API | Testing

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API Development and Testing 101: Introduction to Insomnia

Are you an API developer looking to streamline your workflow and improve efficiency? Join us for this introductory webinar on Insomnia, a powerful API design and testing platform that simplifies the entire API lifecycle. In this session, we'll explore the core features of Insomnia that make it an indispensable tool for modern API development. You'll learn how to design and prototype APIs visually, send requests with a user-friendly interface, and organize your API workflows with workspaces and environments.

Introducing Keploy | Your Automated API Testing Platform: AI-Driven Edge Cases, No Hallucinations

Looking for an automated test solution that offers unparalleled accuracy? Meet Keploy, your AI-driven API test engineer. Here's a description for "Introducing Keploy | Your Automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations ".

All You Need to Know About Data Aggregation

Data aggregation is the process of combining and summarizing data from disparate sources into a cohesive dataset. It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Then, you can leverage it to gain a holistic perspective on your operations and market trends, design effective risk management practices, and make more informed decisions overall.

Enterprise-Grade Service Mesh: A Reference Architecture with OpenShift, Istio, and Kong

The service mesh architecture pattern has become a de facto standard for microservices-based projects. In fact, from the mesh standpoint, not just microservices but all components of an application should be under its control, including databases, event processing services, etc.

Accelerate Your Time Series Analytics with Snowflake's ASOF JOIN, Now Generally Available

Time series data is everywhere. It captures how systems, behaviors and processes change over time. Enterprises across industries, such as Internet of Things (IoT), financial services, manufacturing and more, use this data to drive business and operational decisions. When using time series data to perform analytics and drive decisions, it’s often necessary to join several data sets.