Agentic Future Ready With BigQuery: Continually Improving Price-Performance, Zero Effort
Learn about the latest innovations to help improve BigQuery price-performance with autonomous query processing.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
We built our own status page with AI, replacing a $65k SaaS product
Two engineers used AI coding agents to design, build, and ship a production-ready status page — here's what worked, what didn't, and what we'd do differently.
Bring AI to Your Data, From Prototype to Production | Cloudera AI Inference
Most enterprise AI projects stall when teams try to move experiments into production—where costs, governance, data security, and scale all get real. In this demo, see how Cloudera AI Inference helps turn foundation models into secure, governed, production-ready AI services. You’ll learn how to: Chapters: Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.
React Native OTA updates: Bitrise CodePush demo
From our CodePush webinar: a practical walkthrough of setting up and managing CodePush for over-the-air (OTA) updates on Bitrise using a React Native application. Staff Solutions Engineer Atanas Chanev shows you how updates are handled by pushing a direct update via the command-line interface, promoting a staging release to production, and executing an emergency rollback to a previous version using the API.
Enterprise Regression Testing: Architecting Continuous Validation for High-Velocity SDLCs
Engineering leadership faces a persistent dilemma: accelerating release velocity or protecting platform stability. As microservice architectures scale and daily commit volumes grow, test suite execution times stretch from minutes into hours. Flaky scripts and unstable UI locators break build pipelines, forcing senior engineers to spend sprint cycles debugging false positives.
AI is Writing Your Code Faster Than Anyone Can Check It
AI is writing more of your codebase every quarter. A new Sauce Labs report surveying 400 U.S. executives and engineering leaders shows most organizations still can't verify it's safe to ship, and the incidents are piling up.
Open Data Infrastructure needs context engineering to unify data use cases
A single source of truth doesn’t just come from centralizing data. You have to engineer context from it, too.
How to Build a Self-Healing Data Pipeline with AI Agents (Step by Step)
Your data pipeline breaks at 2 AM. Again. By morning, corrupted data has cascaded through dashboards, reports sit empty, and your team spends half the day tracking down root causes instead of building features. This scenario plays out across organizations daily. Data engineers spend 44% of their time firefighting pipeline failures rather than delivering value.
What Is Agentic iPaaS? The Next Evolution of Integration Platforms
Traditional integration platforms were built for a world of predictable, human-configured workflows. But with enterprise software rapidly incorporating agentic AI capabilities, that world is changing fast. Agentic iPaaS represents a fundamental architectural shift where intelligent agents reason, adapt, and execute integrations autonomously, moving beyond simple "if-then" automation to goal-oriented systems that make real-time decisions.
Case Study 2026: Scaling a SaaS Platform with AI-Powered Load Testing Insights
Consider a SaaS provider experiencing a sudden surge in demand. After years of steady expansion, a viral integration sends active user sessions soaring – tripling overnight. Onboarding speeds up, clients invite their own users, and the platform expands into new regions. With this momentum, the risks escalate: any downtime or performance issue now threatens not only revenue but also customer trust and regulatory standing.