Systems | Development | Analytics | API | Testing

Confluent Cloud for Apache Flink: Engine for Mission-Critical, Real-Time Operational Systems and dbt/SQL-Native Home for Data Science and AI

Organizations today are under immense pressure to deliver on two critical fronts: building mission-critical, real-time operational systems and powering the next generation data science and artificial intelligence (AI) workflows with analytics-ready data. Historically, achieving both meant navigating a divided, complex architecture.

New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot

A customer writes in asking where their order is. The AI support agent checks the account, sees the order marked shipped, and sends a reply. The order was cancelled forty minutes ago. The agent wasn't wrong about anything it could see. It was reasoning over stale data that refreshes every six hours. This is why AI projects stall. Not because the models aren't capable, but because they lack AI-ready data and a reliable view of the current state of the business.

Build Custom, AI-Ready API Endpoints Without Writing Backend Code

Auto-generated APIs changed how fast teams ship. Point DreamFactory at a database and you get a complete REST API in seconds: every table, full CRUD, live documentation, role-based security. For thousands of teams, that is the whole job. But auto-generated APIs mirror your schema. Your applications, and increasingly your AI agents, want something more deliberate: clean paths, shaped responses, and endpoints that match how the consumer thinks rather than how the database is laid out.

Snowflake RBAC: How to Manage Who Accesses What in Your Pipelines

Your data engineer just accidentally deleted the production customer table. Again. This scenario plays out in organizations worldwide, not because of malicious intent, but because of poorly configured access controls. With data breaches and compliance violations, managing who can access what in your Snowflake data warehouse isn't optional: it's essential.

How to Improve Interoperability in Healthcare: A Practical Roadmap (2026)

Healthcare interoperability enables clinical, administrative, and financial systems to exchange usable health information securely. It connects EHRs, payer platforms, laboratories, pharmacies, medical devices, and patient applications. In 2026, interoperability requires more than transferring data between disconnected systems. Healthcare organizations must standardize data models, resolve patient identities, govern access, maintain semantic consistency, and support real-time API-based workflows.

More tests won't fix your SAP releases

ABAP turned 43 this year — “an unusually long run,” as Sonja Liénard, head of ABAP platform at SAP, put it in a recent interview. SAP’s proprietary language has been reinvented numerous times, from procedural code to today’s ABAP Cloud, to keep up with market demands. The same cannot be said for ABAP testing. Most SAP teams are deciding what to test the way they did twenty years ago: run the full regression suite and hope it holds.

5 Ways Automation Is Improving Food Manufacturing Quality and Safety

Food manufacturers have always operated under intense pressure to deliver products that are both consistent and safe. A single contamination event or a batch of mislabeled allergens can trigger recalls, damage brand trust, and put consumers at risk. As production volumes grow and supply chains stretch across borders, manual inspection processes are struggling to keep pace. That's where automation is stepping in, transforming how food is monitored, tested, and cleared for shelves. Continue reading to learn more about how automation improves food manufacturing.

Chaos Monkey Won't Find Your Bug

We shipped a chaos feature that never caused any chaos. Our mock server has had a fault-injection effect for years with a straightforward job: withhold the response entirely and see whether the caller copes. Last week I audited it against the actual code path. It had never withheld anything. The handler returned early without writing a response. Go’s net/http then did what it is designed to do, which is synthesize a 200 OK and flush the recorded body.

Why Determinism & Realism Are So Critical in Enterprise Synthetic Data

Generating synthetic data is one thing. Trusting it is another. As enterprises adopt synthetic data for development and testing, important questions quickly emerge: Can it be reproduced consistently? Does it accurately reflect real-world business scenarios? In fact, our survey of enterprise leaders found that “consistent, high-quality test data to reduce defects” was their priority in test data automation at 43%.

Where AI Delivers Real ROI in Brokerage and Listing Platforms

Two AI features can cost the same to build and land on opposite sides of the P&L. Add a chatbot to a listing page, and you get a support-deflection number that plateaus in a quarter. Rework search ranking so a buyer who types “quiet street, near a school, room for an office” gets the right ten homes instead of 400 filtered results, and you move search-to-contact conversion, which sits at the top of every revenue metric downstream.