The development team often implements features that do not fully address the customer's needs, leading to rework, increased costs, and delayed project timelines.
We’re thrilled to announce the General Availability of the Moesif Developer Portal , a major leap forward enabling you to deploy a seamless experience for developers to subscribe and pay for your APIs. With a complete refactor and upgrade, we’ve brought substantial improvements that make productizing and monetizing APIs even easier. The developer portal provides a secure path for customers to get started with your APIs and has integrations for popular identity providers Okta and Auth0.
With the rise of AI-driven tools, the debate of ‘ChatGPT vs Copilot’ has become central for developers seeking productivity boosts in coding and testing. In this blog, we will dive into the key features, strengths, limitations, and use cases of these tools to help you understand their differences and make an informed decision on which one suits your programming needs the most. So, let’s get started!
We talked a bit about the Software Development Life Cycle (SDLC) in a recent post, but today, we’re going to dig a little deeper into one particular and crucial element in the testing phase, particularly for Agile development: regression testing.
In the fast-evolving world of data analytics and data models/machine learning applications, the power of a well-structured ETL (Extract, Transform, Load) pipeline cannot be overstated. Data analysts in mid-market companies often grapple with transforming large data sets from disparate data sources into actionable insights. Here’s where ETL platforms like Integrate.io emerge as the unsung heroes, simplifying complexities with low-code and scalable solutions.
Artificial Intelligence promises to transform lives and business as we know it. But what does that future look like? The AI Forecast: Data and AI in the Cloud Era, sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large.
Producer retries in Apache Kafka can make or break message delivery, especially during broker events like updates or failures. Use the idempotent producer, and configure delivery timeouts, in order to avoid common pitfalls that lead to lost messages or broken ordering.
Don’t rely on players to find bugs in your video games. There’s a smarter way forward. And it involves using AI agents and shift-left testing. Here’s why AI bots are game-changers: Automated Playtesting: Advanced AI agents now handle repetitive playthroughs, catching issues early and reducing developer crunch in alpha and beta phases. Comprehensive Coverage: These bots don’t just mimic players; they explore every inch of the game, uncovering bugs that would take traditional QA departments hours.
Keboola, the self-service data management platform, develops a comprehensive platform that simplifies Environmental, Social and Governance (ESG) data management. It automates data collection, monitors key performance indicators (KPIs), and provides real-time insights across all client entities. By replacing manual processes, it ensures precision, uniformity, and adherence to ever-changing regulations.