Systems | Development | Analytics | API | Testing

Setting Up a Free/Paid Plan With Moesif and Stripe: A Guide to Frictionless Onboarding of Customers to Your Platform

This guide walks you through setting up a Free/Paid plan for your customers using a supported payment platform integrated with Moesif, focusing on tracking usage and managing upgrades to paid tiers. While the steps in this guide are specifically for Stripe, they can be adapted for other supported payment platforms.

Using GitLab With Helix QAC

The cloud-based GitLab CI/CD platform allows development teams to streamline their Continuous integration (CI) and Continuous Delivery (CD) pipelines and accelerate their Software Development Lifecycle (SDLC). Adding strict, compliance-based static analysis — as provided by Helix QAC — as new stages to existing GitLab CI/CD pipelines will enhance the SDLC still further, and move your DevOps workflows from Continuous Integration to Continuous Compliance.

Using GitLab With Helix QAC

There are many ways to integrate Helix QAC static analysis within a continuous integration system like GitLab. Helix QAC's full CI/CD integration accelerates the development pipeline and provides maximum flexibility across the entire organization. In this video, we demonstrate the GitLab and Helix QAC integration with a merge request example. Watch to see how easy it is to compare branches, find and fix issues, and automate CI analysis during key phases of development.

Enhancing AI Customer Experience: A Practical Guide

Organizations are harnessing the power of AI to revolutionize products and services across industries. But AI-powered solutions have been getting more sophisticated. We need to redesign and amend our approach to understanding how customers experience these solutions. Unlike traditional products, AI solutions are dynamic, continuously learning and adapting. Traditional metrics may fall short of capturing the nuances of how users interact with AI.

Q&A with Bitrise's CSO on Gartner's Magic Quadrant: What's next for DevOps?

The DevOps landscape continues to evolve rapidly. As more organizations embrace DevOps to stay competitive, the landscape is shifting to include more diverse players and specialized offerings. But what's next for the space? Gartner's latest Magic Quadrant for DevOps Platforms report highlights the latest developments and standout players in the space, including Bitrise's growing impact on mobile DevOps.

EP11: Cell-Based Architecture

In this special edition, hosts Sanjiva and Asanka are joined by WSO2 co-founder Paul Fremantle for an in-person recording in the studio. Sanjiva leads the discussion, while Paul and Asanka, co-authors of the cell-based architecture, share their insights and experiences. Together, they explore the core principles of cell-based architecture, its practical applications, and how it reshapes modern software architecture.

How Developers Can Use Generative AI to Improve Data Quality

It sounds counterintuitive—using a technology that has trust issues to create more trustworthy data. But smart engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications.

Achieving Success in Pharmaceutical Commercialization

For life sciences organizations, the key to success is the ability to bring the highest quality products to market quickly and cost-effectively. However, the commercialization process is filled with hurdles that hinder time to market, such as complex regulatory requirements and managing cross-functional collaboration. These challenges require a strategic and well-coordinated approach for successful commercialization.

A Complete Guide to Test Driven Development

Test driven development (TDD) is a software development process and programming methodology in which small, automated tests are written before the actual code. TDD is important because it ensures that code is thoroughly tested, leading to higher-quality software. It is crucial for reducing bugs early in the development process, leading to more reliable and maintainable code over time.

4 Essential Facts About Data Fabric Architecture

What is data fabric architecture? The case for data fabric 4 key facts about data fabric architecture Data fabric architecture can modernize and future-proof your data approach Data fabric architecture is a virtual data layer that connects any number of external systems together to provide unified access and a complete, 360-degree view of an organization’s data. Whether your data lives in legacy systems or multi-cloud environments, a data fabric can connect these systems together for a unified view.