Systems | Development | Analytics | API | Testing

Simplify and automate your API platform management across multiple clouds using infrastructure-as-code! In this insightful demo, learn how Kong Konnect and Terraform together enable rapid, scalable, and consistent deployment of your APIs. You'll discover how to: Deploy dedicated Kong API gateways across AWS, Azure, and GCP effortlessly Manage APIs and governance policies centrally using Terraform Eliminate configuration drift and compliance risks through automation.

In highly regulated industries like healthcare and energy, a lot is at stake if an AI system “fails” – therefore leading to a higher risk of unintended consequences that could mean life or death. These high-risk environments can teach us a lot about responsible AI, practical guardrails, and best practices overall. One of those lessons? Make AI “boring”. To dive into what that means for highly regulated industries and beyond, we’re joined by Cal Al-Dhubaib. Cal is the Head of AI and Data Science at Further and founder of Pandata (which was acquired by Further in 2024).

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Sridhar Ramaswamy, CEO of Snowflake. They discuss the impactful integration of AI with enterprise data, Snowflake's efforts to demystify AI for its customers, and future prospects for agentic AI and its potential to transform business processes.

17: Aligning API Design to Business Outcomes with James Higginbotham, LaunchAny by Moesif API Observability.

In this episode, Derric Gilling chats with James Higginbotham, founder of LaunchAny, about designing successful API strategies that drive business value. James dives into his “Align-Define-Design-Refine” (ADDR) methodology, a framework that guides organizations from initial business alignment through iterative API design and deployment. Drawing from over a decade of experience helping companies mature their API programs, he shares practical tips on blending business goals with technical execution, empowering cross-functional teams, and maintaining consistency across the API lifecycle.

Nate Lee discusses the benefits of developers using service mocks, highlighting how they allow teams to simulate APIs and external services during development and testing. This approach enables developers to work independently of backend systems, reduce dependencies, and catch issues early, ultimately improving productivity and software quality.

With Qlik’s Anomaly (Spike) analysis type, you don’t just see the obvious — you uncover the hidden outliers buried deep in your data. Just pick your measure and time field... ...and boom — hashtag#Qlik surfaces the real anomalies in seconds. You also get narrative insights showing biggest spikes. smallest drops and total anomalies. No guesswork. Just instant, actionable insight. Let Qlik do the heavy lifting — so you can move faster, smarter.

Are you struggling to predict and control Databricks costs? You're not alone—accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). Join us for this session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to remove the guesswork from forecasting costs in Databricks. You’ll gain invaluable insights into transforming your approach to cost management from reactive to proactive. With Unravel's Data Actionability Platform, you can forecast costs precisely and take immediate action to optimize spending.

Bitrise VP of Engineering & Infrastructure Arpad Kun demonstrates the newly-launch MCP Server for Bitrise. MCP is a protocol that lets you chat directly with Bitrise via your favorite AI client, such as Claude Desktop, VS Code, Cursor, Windsurf and more.