Systems | Development | Analytics | API | Testing

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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.

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.

The Ultimate Guide to a Smooth Dev Environment Setup: Tips and Best Practices

Setting up a development environment can be challenging, especially for new developers or those adapting to new developer tools. A well-configured environment is crucial for efficient coding, testing, and debugging, enhancing productivity and minimizing errors. This guide will walk you through everything you need to know, from the basics to advanced customizations for different operating systems.

Automated Software Testing: A Definitive Guide

Imagine a world where your software tests run themselves, freeing you from the tedious grind of repetitive tasks, and catching bugs long before they wreak havoc on your code. This is the magic of automated software testing. Deadlines to ship software are tighter than ever. Users expect flawless experiences, and relying solely on manual testing just doesn’t cut it anymore.

Navigating Personal Data Protection Laws (PDPL) with Countly: A Comprehensive Guide

Today more than ever before, businesses must navigate a complex landscape of regulations to ensure they are compliant with various personal data protection laws. From the General Data Protection Regulation (GDPR) in Europe to the California Consumer Privacy Act (CCPA) in the United States, and the Personal Data Protection Law (PDPL) in Saudi Arabia, these regulations set the standards for how businesses collect, store, and process personal data.

Ruby on Rails 7.1: Partial Strict Locals and Their Gotchas

Rails partials have been around for years, but they can be clunky since they're just ERB snippets without a backing object structure. Recently, libraries like ViewComponent and Phlex have tried to improve the view layer by adding more semantic structure to the templates. These are great libraries and I personally reach for ViewComponent on almost every project I work on. That said, I still feel the humble Rails partial still works great for many use cases.

A New Dawn: Kong Unleashes API Technologies for the AI Era

The main fundamental question of every business today: Are you on the right side of AI? Many businesses and investors are facing the big question: will they get AI-fied and die slowly or will they be propelled by AI and grow faster? Kong API tools and the Konnect API platform will bring our customers on to the right side of AI. Every platform shift from mainframes onward has created demand for more APIs.

Kong Konnect Observability and Advanced Analytics with Dynatrace

Understanding and monitoring the performance and health of applications and systems is critical. This is where observability comes into play. Observability is about gaining a comprehensive understanding of a system's internal state by analyzing the data it generates within the context of real-time events and actions across the infrastructure.

AI in Quality Assurance: How AI is Transforming Future of Quality Assurance

‍ ‍John McCarthy, an American computer scientist, stated this belief more than 40 years ago. Surely, his commitment to understanding the human mental process led him to ideate one of the most revolutionary ideas in computer science—artificial Intelligence (AI). Since then, AI has helped us develop software, utilize it to streamline our business offerings and maintain another essential aspect of digital ecosystems—quality assurance.