Systems | Development | Analytics | API | Testing

Stop GenAI Rate Limits: Model Routing & Token Throttling with WSO2 AI Gateway

Learn how to mitigate skyrocketing AI costs and prevent model outages using the WSO2 AI Gateway. This step-by-step tutorial shows you how to move beyond simple request limits and implement smart, token-based usage policies. We also demonstrate "Adaptive Model Routing" showing you how to automatically switch between models when rate limits are hit, and how to distribute traffic using weighted round-robin to optimize for cost and performance.

AI Input vs. Output: Why Token Direction Matters for AI Cost Management

In the burgeoning intelligence economy, AI tokens are a metered utility, but enterprise profitability now hinges on a critical distinction: output tokens can cost up to 10x more than inputs, creating a new, invisible risk for cost overruns, particularly with Agentic AI. Learn how Kong AI Gateway and Konnect Metering & Billing provide the essential financial control plane to enforce directional guardrails, protect margins, and turn token consumption into realized revenue.

Confluent Cloud for Government Achieves FedRAMP Moderate: Mission-Ready Data Streaming for Federal Agencies

Federal agencies must perform a high-stakes balancing act: Modernize legacy systems, break down data silos, and deliver real-time citizen services—all while operating under strict security and compliance requirements with constrained budgets and staff. Today, we're announcing that Confluent Cloud for Government (CCG) is now available on the FedRAMP Marketplace, with FedRAMP Moderate authorization achieved through the competitive FedRAMP 20x Pilot program.

From Dumb Pipes to a Smart Data Plane: Introducing Schema IDs in Apache Kafka Headers

Apache Kafka powers massive, mission-critical data streams at enterprises worldwide. But in many organizations, those streams still behave like dumb pipes: raw JSON or bytes flowing between services, limited governance, weak contracts between teams, and data that’s hard to reuse for analytics or artificial intelligence (AI).

The CIO's guide to agentic AI: A message from Kevin Thompson & David Colwell

How do you scale AI without losing control? Tricentis CEO, Kevin Thompson and VP of AI, David Colwell, discuss the strategic vision behind the industry’s first end-to-end enterprise agentic quality engineering platform. In this video, they address the core challenges facing today's CIOs: balancing the breakneck speed of AI development with the necessity of enterprise-grade governance.

Introducing the Tricentis Agentic Quality Engineering Platform

The Tricentis Agentic Quality Engineering Platform, powered by the new Tricentis AI Workspace and team of AI agents, enables you to scale quality at the speed of AI with built-in governance & human oversight! This is a trusted, secure platform that is not a collection of disconnected tools, but a coordinated, intelligent system, designed to evolve as enterprises move toward fully autonomous. This platform is where you can build your agentic future!

Ship React Native updates in minutes: CodePush on Bitrise is now live

React Native teams ship fast. App store reviews do not. Today, CodePush officially launched on Bitrise, giving React Native teams the ability to deliver JavaScript and asset updates directly to users in minutes, without waiting for App Store or Play Store approval.

AI Test Automation vs. Manual Testing

Software bugs are rarely small problems; they often lead to costly disruptions for both users and development teams. When issues reach production, they can trigger support tickets, emergency fixes, and lost revenue. The real challenge in software testing isn’t that bugs exist; it’s that they’re often discovered too late. Without strong quality assurance, teams end up fixing problems after release when the cost and effort are much higher.