Practical Enterprise AI: Common Roadblocks and How to Avoid Them
Come learn what to keep in mind when implementing AI-powered applications and effective strategies for scalable, practical generative AI.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Contributing to Apache Kafka: How to Write a KIP
I’m brand new to writing KIPs (Kafka Improvement Proposals). I’ve written two so far, and my hands sweat every time I hit send on an email with ‘ KIP’ in the title. But I’ve also learned a lot from the process: about Apache Kafka internals, the process of writing KIPs, the Kafka community, and the most important motivation for developing software: our end users. What did I actually write? Let’s review KIP-941 and KIP-1020.
Web CI on Bitrise: Beta announcement
Mobile developers love using Bitrise, and we get it. But we also know your products and automation workflows extend beyond just mobile apps. That's why we're thrilled to announce Bitrise's expansion into web CI/CD! While in beta, this is your chance to help shape an industry-leading solution for your entire development process.
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.
With AI Writing Code, Will AI Replace Software Engineers?
Software developers have plenty to keep them awake at night. Their top concern is no longer how to express the latest algorithm in their favorite language (C, C++, Erlang, Java, etc.). Instead, it’s being replaced by artificial intelligence (AI). Here we take a look at the process for AI writing code and answer the question: Will AI replace programmers? Read along or jump ahead to the section that interests you the most.
Mastering mobile app quality: Rippling's CI/CD journey with Bitrise
Discover Rippling's CI/CD journey with Bitrise, as shared by Staff Software Engineer Siddhant Soni. This post dives into the technical challenges and solutions that have shaped their scalable mobile infrastructure.
Implementing iOS Universal Links for Enhanced App-Web Navigation
Universal Links are an iOS feature allowing seamless integration between web content and native iOS apps. With iOS Universal Links we can intelligently configure a specific web URL, associating it with our iOS app so it will open directly when the URL is clicked.
Everything you've wanted to ask about Event-Driven Architectures | The Duchess & The Doctor Show
For their inaugural episode, Anna McDonald (the Duchess), Matthias J. Sax (the Doctor), and their extinct friend, Phil, wax rhapsodic about all things eventing: you’ll learn why events are a mindset, why the Duchess thinks you’ll find event immutability relaxing, and why your event streams might need some windows. The Duchess & The Doctor Show features a question-driven format that delivers substantial, yet easily comprehensible answers to user-submitted questions on all things events and eventing, including Apache Kafka, its ecosystem, and beyond!
Analyzing AWS Audit Logs in Real Time Using Confluent Cloud and Amazon EventBridge
Last year, we introduced the Connect with Confluent partner program, enabling our technology partners to develop native integrations with Confluent Cloud. This gives our customers access to Confluent data streams from within their favorite applications and allows them to extract maximum value from their data.
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.