Systems | Development | Analytics | API | Testing

A Deep Dive into Lakehouse Catalogs

What exactly is a Catalog, and why has it become such a critical component of the modern Lakehouse architecture and AI workloads? In this episode, we break down the differences between technical catalogs (metastores) and business catalogs, explore how catalogs enable governance and interoperability, and explain why the Iceberg REST Catalog specification became the open standard for sharing Iceberg tables across platforms without vendor lock-in.

Investor Serhii Tokarev spoke about the launch of the free BigMat platform for school pupils, which explains complex mathematical topics in simple terms

The 2025 National Multi-Subject Test (NMT) revealed that 12% of school graduates failed to meet the threshold in the mathematics section: they were unable to solve problems at the 5-6th grade level. Having analysed the main reasons for this outcome, online education studio EdEra, together with Tokarev Foundation, developed BigMat, a free platform offering accessible math education for schoolchildren, which is launching in pilot mode. This was announced by investor and IT entrepreneur Serhii Tokarev.

Best 5 Sandboxing Environment Solutions of 2026

Sandboxing has become one of the most practical ways for organizations to reduce risk while accelerating software development, technical training, product evaluation, and security testing. Rather than allowing users to interact directly with production systems, sandbox environments provide isolated spaces where applications, configurations, and workflows can be explored safely.

5 Essential Features to Look for in a Cloud Testing Platform (2026 Checklist)

Selecting a cloud testing platform is a high-stakes decision for IT managers and QA leads. The market is crowded with vendors touting AI, speed, and integration, but the real test is whether a platform delivers the core capabilities your team genuinely needs. Begin by defining your non-negotiables – features that are essential for your workflows and compliance requirements.

Schedule recurring load tests, and get alerted only when performance breaks

Performance rarely breaks on the day you run a load test. It breaks three deploys later, on a Tuesday, when nobody is looking. LoadFocus can now run your load tests for you on a recurring schedule, and email you only when a run actually starts failing. Set it once, and let it watch your app.

The API tests passed. The database didn't.

We shipped v2 of a small products API on a Thursday. Green CI. Green replay. The new search endpoint worked. I went home feeling competent. Friday morning I ran the same traffic against both builds with proxymock and compared the SQL. v2 had added 80 queries on the same HTTP script. A per-product audit COUNT was firing inside the list handler. A startup migration had run ALTER TABLE and CREATE TABLE audit_log. Total DB time was up 70 ms on a demo that should have been boring.

How to Simulate Realistic User Behavior in Load Testing Scenarios (2026 Guide)

Many teams still rely on basic load testing scenarios that generate uniform traffic or repeat scripted actions. These tests often pass without issue, but they rarely reflect the complexity of real user behavior. When unpredictable usage patterns hit production, hidden bottlenecks emerge – leading to outages or slowdowns that scripted tests failed to uncover. This gap between test results and real-world performance is a common source of frustration for engineering teams.

Introducing AI Transport v0.4.0

AI Transport v0.4.0 includes changes to optionally support database hydration. Some applications may wish to store AI conversation history in an external store, such as a database. AI Transport's support for database hydration allows applications to reconcile that stored history with the live activity in the AI session. When using database hydration, your application persists messages for completed runs to the database.