Systems | Development | Analytics | API | Testing

Test automation using Record and Play | Zephyr

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software,faster. Its Record and Play capability is a fast and easy way to build, run, and review automated tests. This short video demonstrates the full flow from recording to execution, all without writing a single line of code. You'll see how testers can review the recorded steps and verify that each interaction was accurately captured, for both traceability and visibility into the automated workflow.

Unifying Snowflake & Apache Iceberg in Logi Symphony via Simba's ODBC Driver

How do you connect Snowflake and Apache Iceberg to embedded analytics without adding complexity? In this video, we demonstrate:→ Setting up the Simba Snowflake ODBC driver via system DSN→ Why pushdown queries matter for performance→ Building governed, reusable metrics in Logi Symphony→ Delivering fast, interactive dashboards on live retail data The result: unified sales and inventory analytics without the ETL pipelines, Python scripts, and custom services that create support headaches.

Understanding Node.js' New Signal Requirement for Security Reports

Node.js has updated its vulnerability reporting policy on HackerOne, introducing a minimum Signal requirement. This change aims to improve report quality, reduce operational noise, and better support the maintainers responsible for project security. Below is an explanation of why this change happened, how it works, and what it means for the security community.

Sustained Excellence: WSO2 Again Named an Overall Leader in 2026 KuppingerCole CIAM Leadership Compass

In the rapidly shifting landscape of identity security, consistency is the ultimate measure of excellence. Today, we are proud to announce that for the fourth consecutive report, WSO2 has been recognized as an Overall Leader in the January 2026 KuppingerCole Leadership Compass for CIAM Platforms. Earning a leadership spot for many years is a significant achievement, but this 2026 recognition is particularly special.

Snowflake Build London Keynote

Tune into the BUILD London Keynote. Hear what’s new from Snowflake - Shared Workspaces and the GA release of Cortex Code to Snowflake Postgres, semantic view autopilot, and interactive workloads for low-latency analytics. See demos across Snowflake ML, including notebooks in Workspaces, model registry, and online inference, plus how Cortex Agents API and Snowflake Intelligence help teams build trusted agent apps. The keynote also covers Snowflake’s partnership with OpenAI and why governance stays central as AI moves from answers to action.

The API-First Alternative to RAG for Structured Data | DreamFactory

When it comes to integrating AI with structured data, traditional Retrieval-Augmented Generation (RAG) systems often fall short. They rely on indexing and embedding, which can lead to outdated information, security risks, and inefficiencies. Instead, an API-first approach offers a safer, more precise, and real-time solution for accessing structured enterprise data.

Top 21 API Testing Tools

If a modern application fails in production, the root cause is rarely the UI and almost always an API behaving differently than expected. As systems evolve into microservices, cloud platforms, and distributed architectures, API testing tools quietly determine whether software remains reliable or slowly breaks under real-world usage. If developers trust an API without validating it under load, edge cases, and security constraints, failures are inevitable.

What Leaders Need to Know About AI in Software Quality

The impact of AI on software quality is no longer theoretical, it’s already here. For engineering leaders, this shift represents more than a technical upgrade, it’s a cultural and strategic one. AI is transforming how teams approach quality, enabling faster decisions, improved visibility, and more intelligent prioritization across every stage of the development lifecycle. Traditionally, software quality was managed reactively. Teams waited for issues to surface and then fixed them.