A developer builds a Unicode character explorer using binary search over HTTP range requests, with AI assistance.
A developer builds a Unicode character lookup tool using binary search over HTTP range requests, with AI assistance.
A detailed guide on upgrading a Raspberry Pi-based home surveillance server using the new Exaviz Cruiser CM5 carrier board and a DeskPi mini rack case.
Guide to running Claude Code as a VSCode plugin on OpenShift and integrating it with AI models via vLLM for local development.
Learn how to use the built-in Trace feature in Azure API Management to debug and troubleshoot API policies step-by-step.
Analysis of the current tech consulting market downturn, exploring causes like AI adoption and economic uncertainty based on a LinkedIn poll.
A daily roundup of tech links covering Azure, VS Code, .NET, AI, web dev, and Windows updates from February 2026.
A monthly roundup of tech links focusing on data engineering, Kafka, AI, and software development, including personal articles and industry news.
Explores .NET in-process synchronization APIs for managing concurrency and thread safety in multi-threaded applications.
![VMUGCZ Online Event Recap: vSAN File Services (Deeper Dive) [CZ] — Jiří Viktorin (Feb 26, 2026)](https://allblogs.blob.core.windows.net/alldevblogs/thumbs/article-452ea8e5a16c-full-db2fe30f.webp)
A deep dive into vSAN File Services architecture, deployment prerequisites, configuration, and troubleshooting for VMware administrators.
A daily tech reading list covering AI agents, cloud development, software engineering trends, and new tools like Gemini CLI and jQuery v4.
Introduces Skill Eval, a TypeScript framework for testing and benchmarking AI coding agent skills to ensure reliability and correct behavior.
A guide to designing reliable, fault-tolerant data pipelines with architectural principles like idempotency, observability, and DAG-based workflows.
Explains Data Vault data modeling, its core components (Hubs, Links, Satellites), and the problems it solves for complex, evolving data sources.
A comprehensive guide to data modeling, explaining its meaning, three abstraction levels, techniques, and importance for modern data systems.
A practical, tool-agnostic checklist of essential best practices for designing, building, and maintaining reliable data engineering pipelines.
Explains how a semantic layer enforces data governance by embedding policies directly into the query path, ensuring consistent metrics and access control.
Explains idempotent data pipelines, patterns like partition overwrite and MERGE, and how to prevent duplicate data during retries.
Explains how data virtualization and a semantic layer enable querying distributed data without copying, reducing costs and improving freshness.
Argues that data quality must be enforced at the pipeline's ingestion point, not patched in dashboards, to ensure consistent, reliable data.
