JSON Programming Tutorials & Engineering Articles

ClickHouse Grafana plugin 4.20 brings compact query mode, click-to-filter log investigation, guided variable and annotation editors, and OpenTelemetry dashboards

WhatsApp is committed to helping people stay safe while protecting the privacy of their messages. As scam tactics evolve — from impersonation to social engineering to AI-generated lures — we’…

Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more.

This release brings speedups for GROUP BY ... ORDER BY ... LIMIT, three JOIN improvements, four vector search improvements, position-aware phrase search, EXPLAIN ANALYZE, unified URL access, and more!

Agent Plugins 1.0.0 is a new, vendor-neutral directory specification—backed by Google, Amazon, Microsoft, and others—for packaging Agent Skills and MCP servers into a single portable unit. By standardizing the manifest (plugin.json) and utilizing a fixed directory layout, it eliminates the need for developers to maintain separate wrappers or configurations to support different AI coding agents and IDEs. Google has officially joined as a Core Maintainer and already rolled out support in the Agents CLI and Data Agent Kit, allowing developers to start building and distributing interoperable plugins today.

The 2026-07-28 Model Context Protocol (MCP) specification replaces legacy stateful constraints with a fully stateless core, enabling cloud-native horizontal scaling, serverless deployments, and standard round-robin load balancing. This architectural shift introduces standardized HTTP headers for efficient routing without deep packet inspection, caching controls, and Multi Round-Trip Requests (MRTR) to handle interactive and long-running tasks without blocking connections. Developers can immediately begin migrating their agentic applications to this highly scalable infrastructure using the newly available beta SDKs for Python, TypeScript, Go, and C#.

Agent Platform's evaluation service is now generally available, providing developers with a unified engine to measure agent quality consistently across local development experiments and live production traffic. You can evaluate agents using over 20 pre-built metrics, DeepMind-backed adaptive rubrics, or custom code-based and LLM-as-a-judge metrics stored in a centralized, versioned registry. The service integrates directly into existing workflows via the Agent Platform SDK, agents-cli, and ADK, offering built-in user and environment simulators to automate complex multi-turn testing and streamline CI pipelines.

Treating a Gaggia espresso machine like a distributed system: instrumenting an ESP32 with OpenTelemetry, streaming shots and whole-house sensors into ClickHouse Cloud, and putting ClickStack (plus an LLM agent) on top to turn every pull into a queryable,

We built an agentic code review and test oracle harness that discovers vulnerabilities, proves them with real tests, and provides Shopify-tuned fixes.

How Airbnb teams build trustworthy Generative AI products by treating evaluation as a first-class engineering discipline; not an…

How a coding agent used clickhousectl to stand up a distributed ClickStack across the US, Europe, and Japan, with regional ingestion and one global view.

Recent improvements to the OpenTelemetry Collector's Datadog receiver let teams reroute telemetry from their existing Datadog agents and SDKs to ClickStack. or any OTel destination making migrations and evaluations simpler than ever.

Using ClickHouse as a webhook endpoint with HMAC verification

This post walks through the common pitfalls we see when AI generates ClickHouse schemas, drawn from real conversations with our Solutions Architecture team and patterns across dozens of customer engagements.

ClickHouse 26.2 is here! In this post, text-index and QBit data type become production-ready.

ClickHouse is fast by design, but raw database speed isn't enough. This post explores how ClickStack tightly integrates with ClickHouse to generate optimized queries — from progressive time window pagination and chunked charts to automatic use of materi

Learn how to send structured .NET logs directly to ClickHouse using Serilog — with full schema control, full-text search, and SQL queries over your log data.

High-performance full-text search, even on object storage. This deep dive from the ClickHouse engineers explains the new text index design and how it keeps queries fast at scale.