Systems | Development | Analytics | API | Testing

Confluent Recognized in 2025 Gartner Magic Quadrant for Data Integration Tools

We are pleased to announce that Confluent has been recognized again as a Challenger in the 2025 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition validates the scale and reliability of our platform, acknowledging our "Ability to Execute" in powering the mission-critical data flows of the world's largest organizations.

Why Managing Your Apache Kafka Schemas Is Costing You More Than You Think

For developers building event-driven systems, schemas are essential for using schemas to define data contracts between producers and consumers in Apache Kafka, ensuring every message can be correctly interpreted. But when schema management is handled manually or through do-it-yourself (DIY) solutions, organizations face escalating expenses that compound as their deployments scale.

Infrastructure Automation And The Future Of Scalable Tech Operations

Have you thought about why some companies can seamlessly scale their technology while others have outages, delays, and an increase in operating costs? As the complexity of digital products and services increases, organizations will continue to experience a challenge—to stay competitive, they cannot rely on legacy manual infrastructure management. Organizations can move from slow provisioning to overcoming configuration errors, then to react quickly to changes in demand.

Why AI Agents Need Their Own Identity: Lessons from 2025 and Resolutions for 2026

As we close out 2025, it's time to reflect on the hard lessons learned from deploying AI agents in production environments. The promise of AI agents is compelling: autonomous systems that can handle complex tasks, make intelligent decisions, and execute actions on our behalf. But as several high-profile incidents this year have starkly demonstrated, this autonomy comes with unprecedented risks when proper identity and access management controls are absent.

Leading and Managing in Dysfunctional Organisations | Alan Richardson | Testflix2025

Leadership today is facing a serious gap. Many people step into leadership and management roles without a clear understanding of how to lead, manage, or genuinely support their teams. While the fundamentals of leadership are simple, poor leadership makes it necessary to revisit the basics. Drawing from experience as a consultant, manager, individual contributor, and leader, this session focuses on what truly works and what consistently fails.

Do Identity Intelligence Better with Snowflake and Verato

Healthcare organizations can’t achieve true Patient 360 or power accurate AI and analytics when identity data is fragmented across EHRs, EMRs, CRMs, and countless clinical and operational systems. In this video, Nick Orser shows how Verato MDM Cloud delivers industry-leading healthcare identity resolution and master data management (MDM) directly inside Snowflake to unify, enrich, and master patient and provider data with unmatched accuracy. See how the Verato Snowflake Native App simplifies data mapping, validation, and mastering so you can easily build a complete, trusted view of every patient, provider, and household.

Process Runner GLSU: SAP Finance Automation in Excel

See how Process Runner GLSU eliminates manual SAP data entry and accelerates month-end close. This 90-second demo shows how finance teams automate 40+ SAP FI transactions, process thousands of entries in minutes, and catch errors before they hit the system—all from Excel, no coding required.

Thinking Ahead: SDET Career Progression | David Ingraham | Testflix2025 | #testingcommunity

The role of the Software Development Engineer in Test has evolved far beyond just writing tests. Today, SDETs operate at the intersection of quality, development, product, and automation, creating opportunities that extend well beyond traditional testing roles. This session explores the core responsibilities of an SDET and how these skills form a strong foundation for multiple career paths.

Cost to Build a Data Streaming Platform: TCO, Risks, and Alternatives

For many organizations, the decision to adopt a data streaming architecture is a strategic imperative—critical for driving everything from instant personalization to global fraud detection. The question is no longer if they should stream, but how. This leads directly to a critical, often underestimated, financial calculation: the cost to build a data streaming platform (DSP) in-house versus the cost of subscribing to a managed service. Let’s explore key considerations in the "build vs.