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{"id":2799,"date":"2019-12-05T08:46:19","date_gmt":"2019-12-05T08:46:19","guid":{"rendered":"http:\/\/minervadb.com\/?p=2799"},"modified":"2020-01-05T18:51:28","modified_gmt":"2020-01-05T18:51:28","slug":"building-infrastructure-for-clickhouse-performance","status":"publish","type":"post","link":"http:\/\/minervadb.com\/index.php\/2019\/12\/05\/building-infrastructure-for-clickhouse-performance\/","title":{"rendered":"Building Infrastructure for ClickHouse Performance"},"content":{"rendered":"

Tuning Infrastructure for ClickHouse Performance \u00a0<\/span><\/h1>\n
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When \u00a0you are building a very large \u00a0Database System for analytics on ClickHouse you have to carefully build and operate infrastructure for performance and scalability. Is there any one magic wand to take care of the full-stack performance ? Unfortunately, the answer is no ! \u00a0If you are not proactively monitoring and sizing the database infrastructure, you may be experiencing severe performance bottleneck or sometimes the total database outage causing serious revenue impact and all these may happen during the peak business hours or season, So where do we start planning for the infrastructure of ClickHouse operations ? As your ClickHouse database grows, the complexity of the queries also increases so we strongly advocate for investing in observability \/ monitoring infrastructure to troubleshoot more efficiently \/ proactively, We at MinervaDB use Grafana (\u00a0https:\/\/grafana.com\/grafana\/plugins\/vertamedia-clickhouse-datasource<\/a><\/span> ) to monitor ClickHouse Operations and \u00a0record every performance counters from CPU, Network, Memory \/ RAM and Storage .This blog post is about knowing and monitoring the infrastructure component’s performance to build optimal ClickHouse operations.<\/p>\n

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Table of Contents<\/p>\n<\/i><\/a><\/span><\/div>\n