Systems | Development | Analytics | API | Testing

%term

Assert in Python: A Very Cool Guide

Have you ever wanted to make sure your assumptions about your code are correct? That’s where assertions come in. In programming, an assertion is a simple way to verify that certain conditions hold true in your code, helping you catch potential errors early before they snowball into bigger problems. Imagine building a house—you wouldn’t start putting up walls without first making sure the foundation is solid, right? Assertions work the same way in your code.

Chatbot Development Cost in 2024

In the tech-friendly era of customer service and business operations, one technological revolution has swept through like wildfire- It’s the era of ‘Mighty Chatbots’! We know that your mind must be brimming with several questions like- Before talking about the cost, let us clarify the fact about why chatbots have swiftly become an indispensable tool for every business out there and are clamoring to integrate.

15 Best API Monitoring Tools

Application programming interfaces (APIs) power countless applications and services in today’s world. However, the complexity and scale of modern API ecosystems often create a blind spot for developers and operations teams. API monitoring can solve a lot of these challenges. In this article, we discuss some core concepts and the benefits of API monitoring, along with key API metrics you should track.

Using DreamFactory for High-Performance API Needs

As applications increasingly rely on APIs to drive critical functionalities, the demand for high-performance, scalable, and secure API management solutions has never been greater. DreamFactory, an on-premise API generation and management platform, is designed to meet these needs by providing robust features such as rate limiting, caching, SQL function integration, and multi-tier architecture.

The Secret to Smarter Development with AI and Streamlined Shift Left

Shifting left to put more on developers? They you have to find the right balance between automation and simplicity. Otherwise, you'll end up with complexity that slows everything down instead of speeding it up. @David Morgenthaler says tools like static analysis and AI-driven tests are shaping the future of software quality: Watch the latest episode of Test Case Scenario to explore how automation can streamline processes without overcomplicating development. It’s working for @Indeed.

Transforming the Insurance Industry with Process Intelligence: Key Trends and Insights

Insurance companies have long relied on data to assess risk, underwrite policies, and handle claims. However, as the volume of data grows, so does the need for sophisticated tools to turn that information into actionable insights. Simply having access to data is no longer enough. To succeed, insurers must be able to harness the power of their data—transforming it into a strategic asset that drives both operational efficiency and improved customer outcomes.

Data Actionability: Boost Productivity with Unravel's New DataOps AI Agent

Right now, 88% of companies surveyed are turning to AI to improve bug-fixing effectiveness. Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel introduces the new DataOps AI Agent. Learn how this new AI agent enables teams to go beyond observing data pipelines and errors to taking immediate action with purpose-built AI and automation.

Telematics: Redefining the Future of Insurance

IoT technologies are poised to transform traditional insurance business models, from how insurers engage with customers to the core risk assessment and management processes. In today’s hyperconnected world, the sheer volume of data available for risk pricing is growing unprecedentedly. With the proliferation of sensor-based smartphones, wearables, and smart home devices, the expanding IoT landscape offers insurers numerous business opportunities.