hyperdxio/hyperdx
HyperDX is an open source observability platform powered by Clickhouse and OpenTelemetry that centralizes and correlates logs, metrics, traces, errors, and session replays to help engineers quickly resolve production issues.
Awesome ClickHouse › Metrics and Monitoring
go-graphite/carbon-clickhouse
The project "carbon-clickhouse" is a Graphite metrics receiver that uses ClickHouse as its storage backend. It is designed to efficiently receive, store, and manage Graphite metrics data by leveraging the high-performance capabilities of ClickHouse, a columnar database management system. The project is production-ready with stable releases and offers preconfigured Docker Compose setups for easy deployment. The repository provides Docker images for quick installation and usage. Building the project requires Go 1.18 or higher. The project includes detailed instructions for configuring ClickHouse to work with carbon-clickhouse, including adding a graphite_rollup section to the ClickHouse config.xml and creating necessary tables such as graphite, graphite_index, and graphite_tagged. These tables are optimized for storing metrics data, indexing for faster searches, and handling Graphite tags respectively. Configuration options are extensive, allowing users to customize internal metric prefixes, logging, data buffering, compression, and upload settings. The project supports multiple protocols for receiving metrics, including UDP, TCP, Pickle, gRPC, Prometheus, and Telegraf HTTP JSON. It also provides options for handling timestamps, data compression, and connection security with TLS certificates. The project emphasizes performance and reliability, with features like chunk rotation and upload intervals, auto-increasing chunk intervals based on unprocessed file counts, and options to drop outdated or future-dated metrics. It supports replication and can be integrated with other tools like carbon-schema-to-clickhouse for schema generation. Overall, carbon-clickhouse is a robust solution for organizations looking to store and query large volumes of Graphite metrics efficiently using ClickHouse, with flexible configuration and support for various data ingestion protocols.
https://github.com/go-graphite/carbon-clickhouse
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