Boost BigQuery with Python: Managed Python UDFs now generally available
Managed Python User-Defined Functions (UDFs) in BigQuery let you define and execute Python scalar functions directly within your BigQuery SQL queries.
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Modern Software Development For Today's Systems & Applications
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The Kubeshark Workflow That Doesn't Stop at the Dashboard
The Observability Gap shows up the moment you try to reproduce a production bug locally. Your traces tell you a request was slow. Your logs tell you which line printed. Neither tells you what was actually on the wire: the headers, the JSON body, the surprise field your client started sending last Tuesday. Until now, closing that gap meant SSHing to a node, attaching a debugger, or shipping a sidecar through change review.
From Kong Konnect to Insomnia: A Developer Workflow for Testing Gateway APIs
As API ecosystems grow, developers and platform teams often work in separate environments. Platform teams manage APIs, gateways, and governance centrally, while developers recreate those configurations locally for testing and debugging. Over time, this can lead to configuration drift, inconsistent workflows, and security gaps. The release introduces our first native Kong Konnect integration, allowing developers to discover, import, and test Gateway configurations directly from Konnect.
From Test Scripts to Test Goals: A Practical Guide to Agentic AI Testing
Is agentic AI testing more hype than substance? Clarifying what this category of software testing actually is, how it works in practice, and where it still falls short.
React Native New Architecture and OTA Updates: What Teams Need to Know in 2026
The React Native New Architecture is no longer optional. From React Native 0.82 onwards it is mandatory, the legacy architecture is gone, and every team still running it is now carrying technical debt that will need to be resolved. For most teams, the migration conversation quickly turns to tooling. Does our CI/CD pipeline still work? Does our crash reporter still integrate correctly? Do our analytics tools need updating?
Agentic Data Engineering: Self-Healing Pipelines for Real-Time Insight
Brittle pipelines and SLA firefighting hold data teams back. Agentic data engineering introduces autonomous AI agents that detect failures, fix code, and re-run pipelines—with humans in the loop guide critical decisions. This video explains how Cloudera Data Engineering and Cloudera AI enable self-healing pipelines.
Fivetran named a Leader for the fifth consecutive year in Snowflake's 2026 Modern Marketing Data Stack report
This recognition reflects the critical role automated data movement continues to play in helping organizations unify data, improve decision-making, and prepare for the future of AI.
What is Smoke Testing? Meaning, Uses, Examples, and Tools
Every QA tester knows: time is money. When something breaks on your website or web application, it can cause major issues within minutes. One way to catch those problems early is smoke testing. Smoke testing answers one practical question before your team sinks time into deeper QA: is this build stable enough to keep testing? Instead of checking every detail, a smoke test focuses on the core workflows that need to work first.
Fivetran vs. Airbyte: Features, pricing, services, and more
Compare Fivetran vs Airbyte pricing and key features. Learn how to choose the right data integration platform for you.