Systems | Development | Analytics | API | Testing

Moving Kafka between cloud providers or from on-prem to cloud? Learn why continuous replication beats the "stop everything and migrate" approach. Keep your business running while seamlessly transitioning your Kafka infrastructure.

Why mirror production Kafka data to staging environments? Test safely without risking production. Learn about data subsetting, sensitive data masking, and the emerging pattern that's revolutionizing Kafka testing workflows.

When AI needs to think faster, the architecture beneath it matters more than ever. Val Cook, Chief Software Architect at Blaize, joins The AI Forecast to unpack how today’s AI systems demand more than raw compute, but more adaptable infrastructure. He and host Paul Muller explore the critical intersection of hardware and software, the growing importance of data flow machines, and the limits of traditional architectures in real-time environments.

Visual Studio App Center’s sunset doesn’t have to stall your releases. This session shows exactly how to replace App Center, harden your mobile testing workflow, and stay compliant with Apple App Store and Google Play rules. What's inside: Speakers: Akos Birmacher, Senior Product Manager @ Bitrise Donny Wals, iOS / Swift expert Hosted by Madré Roothman from Bitrise. Jump to the section you want to watch.

Apache Iceberg unlocks the complex time travel requirements and intensive data validation needs that Affirm has as a financial company. Iceberg's write-once / read-anywhere paradigm simplifies Affirm’s governance by minimizing existing data sets — ensuring there is only ever one logical copy of a given data set, complete with a validation history, and tag-based time travel watermarks. This presentation recorded at Summit 2025 provides detail on the the way Affirm leverages Snowflake’s Open Catalog to power our Iceberg implementation, solving both operational and analytic challenges in the business.

In this live episode, recorded at WSO2Con Europe 2025, hosts *Sanjiva* and *Asanka* are joined by *Jeremy* *Schneider,* Senior Partner & Co-Head of Global Software & High-Tech Practice at McKinsey & Company, to explore the challenges and opportunities of platformless modernization and the cultural transformation required for organizations to become software-driven. They discuss the importance of leadership in understanding technology, the "build vs. buy" debate in platformless architecture, and how organizations can empower teams with autonomy while maintaining governance.

Databox CEO Pete Caputa nails a frustration most execs feel: the grind is getting harder while results feel smaller. In this clip, he shares the fork in the road every leadership team faces - and the choice that leads to predictable growth. That’s why he created a new methodology course called “Predictable Scale." Databox is Modern BI for teams that need answers now. It offers the best of business intelligence software, without the complicated setup, steep price, or long learning curve.

AI is changing how data teams operate. Is your pipeline ready? Today, data isn't just powering insights, it's fueling real-time decisions and AI/ML models. That means teams now face stricter requirements around data freshness, reliability, orchestration, and delivery speed. In this webinar, Hugo Lu, Founder & CEO at Orchestra will explore what it really means to build AI-first data operations & how leading data teams are adapting their infrastructure, workflows, and tooling to support this new era of model-driven development.

Discover how finance teams can move beyond static reporting with predictive intelligence! In this masterclass preview, see how your team can evolve into proactive advisors by leveraging leading indicators and predictive insights. Watch our Week Three Masterclass and dive deeper with the full blog: “Beyond Financial Statements: Building Predictive Intelligence” for strategies to revolutionize your finance workflows.

How can you make data complexity a thing of the past? How can your business shift from data chaos to data-driven innovation?