You might find something interesting here ^_^
This article explains how the open‑source Multica platform treats AI agents as teammates, detailing its four‑layer monorepo architecture, dual data‑flow design with TanStack Query and WebSocket, and the core modules that let a small team manage dozens of agents as if they were real colleagues.
The blog benchmarks Quickwit by indexing 61 billion GitHub event documents (23 TB) with 27 MB/s throughput, achieving sub‑second search latency using eight CPUs at $0.0002 per TB per query, while indexing costs about $2 per TB and storage costs $8.4 per TB per month.
Quickwit is a Rust‑based distributed search engine that enables sub‑second queries directly on cloud object storage, and its documentation details the architecture, core concepts, installation, data ingestion, log management, tracing, deployment options, configuration, and operational best practices.
The article introduces three official Grafana dashboards—Indexer, Searcher, and Metastore—for monitoring Quickwit clusters, provides direct JSON links, shows example screenshots, and explains that they rely on Prometheus metrics collected from Quickwit.
This guide walks through installing Quickwit, creating a search‑stream index on the GitHub Archive dataset, streaming matching IDs, setting up ClickHouse tables, and querying via the URL table engine, demonstrating fast full‑text search with concrete performance numbers.
This guide walks through the challenges of ingesting high‑volume sales‑point data into ClickHouse, explains why a buffering layer like Kafka is essential, compares three integration approaches—ClickHouse Kafka engine, Kafka Connect, and an external writer—and provides concrete SQL and Terraform examples to help you choose the right solution.
This article details an open‑source Binance trading bot that uses machine‑learning models and extensive feature‑engineering pipelines to generate and broadcast automated cryptocurrency buy‑sell signals via a Telegram channel, covering data acquisition, offline training, hyper‑parameter tuning, and live service deployment.
The article details Goldsky's multi‑tenant architecture that combines Redpanda, Apache Flink, and ClickHouse to stream TiB‑scale blockchain data in real time, explains the design choices, challenges, and lessons learned, and showcases a public ClickHouse dataset for the Base blockchain.
This guide outlines ClickHouse’s various techniques for loading, inferring schemas, designing, exporting, and handling different JSON formats—including NDJSON and advanced modeling—while noting the upcoming native JSON type that will replace the deprecated Object Data Type.
CryptoHouse is a free, real‑time blockchain analytics platform built on ClickHouse and Goldsky, offering SQL access to Solana and Ethereum data, with materialized views, fair‑use quotas, deduplication via ReplacingMergeTree, a lightweight UI, and detailed engineering insights.
