Systems | Development | Analytics | API | Testing

Reliably syncing database and frontend state: A realtime competitor analysis

Ably’s LiveSync product is now available as a public alpha release. LiveSync allows you to automatically keep data in sync across servers and clients, in realtime. This is a hard distributed systems problem. In this post, we’re going to have a look at four existing solutions to realtime data synchronization, the different technical designs, and the tradeoffs they make.

5 Ways Advertising, Media and Entertainment Companies are Using Gen AI

The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024, gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.

Understanding The Different Levels Of The Software Testing Pyramid

We all know what a "software" is, but then what is software testing or why is it even important? Let me answer your doubts- Software Testing is a process that involves evaluating software components to ensure they meet specified requirements and are defect-free. The main goal of software testing is to verify that the actual software matches the expected requirements, enhancing the product quality and customer satisfaction.

The Essentials of API Development: A Comprehensive Guide

Navigating API development is essential for creating seamless software interactions. This guide strips back the complexity, offering a clear pathway through the intricacies of API creation, from brass-tacks design principles to advanced security and documentation. Among the APIs we’ll explore for their role in simplifying software interactions is the REST API. This model emphasizes functions like GET, PUT, and DELETE to interact with server data efficiently and statelessly.

Transforming Integration: Harnessing the Power of API as a Product for Business Growth

Transform your application programming interfaces into dynamic revenue generators—this is the essence of treating ‘API as a product’. This concise guide provides fundamental insights into how APIs transcend their traditional roles to become standalone products, opening new avenues for customer interaction and business growth.

Evelyn's Final Episode: Advice and Encouragement for a Career in Automated Testing

Today’s show is bittersweet as we bid farewell to our beloved co-host, Evelyn Coleman. She’s been instrumental in shaping our conversations and challenging our perspectives. We’ll reflect on Evelyn’s impact on the podcast, share lessons from her career, and discuss the ways automated testing is about so much more than just code. Press play for an episode of insights, farewells, and of course, a little humor.

A Software Engineer's Tips and Tricks #4: Collaborating on Visual Studio Code with Live Share

Hey there! We're back for our third edition of Tips and Tricks, our new mini series where we share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Catch up on the previous posts: All of our posts are super short reads, just a couple of minutes tops. If you don’t like one of the posts, no problem! Just skip it and check out the next one. If you enjoy any of the topics, I encourage you to check out the "further reading" links.

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 ".

What Separates Hybrid Cloud and 'True' Hybrid Cloud?

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate.