Systems | Development | Analytics | API | Testing

API Summit 2024: Kong News and Announcements Recap

API Summit 2024 is underway! The seventh-annual Kong event kicked off today with 7 tracks and 60+ sessions from industry trailblazers. And, of course, the two-day event is packed with Kong-related news and product updates. Looking for a quick rundown of all the big Kong news? Here's a round-up of the Kong announcements dropped today.

Success story: Brickeye Platform Enhancement

Introducing our partner Brickeye, who delivers advanced monitoring and management solutions in construction, ranging from water mitigation to concrete monitoring and environmental risk management. Brickeye teamed up with ORIL to streamline interfaces across its apps. By creating a cohesive design system, we ensured that Brickeye’s future products would maintain consistency and benefit from accelerated deployment timelines.

A CIAM Strategy to Improve Digital Experiences in Healthcare #WordsUnplugged

Customer identity and access management (CIAM) encompasses the systems and processes that handle consumer identities and their access to services. In healthcare, CIAM applies not only to patients but also to healthcare providers, administrative staff, and other stakeholders involved in care delivery. Given the complexities of healthcare, including patient data privacy and the integration of diverse systems, CIAM is vital for effective digital transformation.

Mastering Local Preview Environments: A Beginner's Guide

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

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.