grafana prometheus

Alibabacloud.com offers a wide variety of articles about grafana prometheus, easily find your grafana prometheus information here online.

Kubernetes (k8s) and a brief introduction to the components involved

, Rugao want to have in-depth understanding, can collect other information)Docker MonitoringCadvisor (Container Advisor) is an open source tool developed by Google to analyze resource consumption and performance metrics for running containers. Cadvisor is a run-time daemon that collects, aggregates, processes, and outputs information about the container in the runtime. For each container, Cadvisor has resource isolation parameters, Resource usage history, and a histogram of complete historica

MySQL Monitoring System PMM

Tags: tor requires latest sudo get Monit SSL Docke namePMM Install # Docker install Curl-ssl https://get.daocloud.io/docker | SH # Create PMM data container Docker create-v/opt/promet Heus/data-v/opt/consul-data-v/var/lib/mysql-v/var/lib/grafana--name pmm-data percona/pmm-server:late St/bin/true # Create a PMM server container, set the login user name (server_user) and password (Server_password), and modify as needed. 80 ports are used by default an

In GitLab how we extend the database

public Grafana dashboard. Some of our pgbouncer are set up as follows: Set value default_pool_size 100 reserve_pool_size 5 reserve_pool_timeout 3 max_client_conn 2048 pool_mode Transaction server_idle_timeout 30 In addition to the foregoing, there is work to be done, such as deployment of se

Hangout with Clickhouse

= Mergetree (date, (hour, date), 8192) CREATE TABLE cms.cms_msg_all ( date date, datetime datetime, hour Int8, _uri String, _ URL string, _request_time Float32, _http_code string, _hostname string, _domain string, _ Http_x_forwarded_for string, _remote_addr string, _reference string, _data_size Int32, _method String, _ua string ) ENGINE = distributed (Bip_ck_cluster, ' cms ', ' Cms_msg ', rand ()) Conclusion In this

Why SQL is beating NoSQL, what this means for future data (reprint)

evolve into today's rich and diverse internet. We think that SQL has become the waist of data analysis. In our time of life, data is becoming "the most valuable resource in the world" (The Economist, May 2017). Therefore, we have seen the professional database (OLAP, time series, documents, charts, etc.), data processing tools (Hadoop,spark,flink), Data Bus (KAFKA,RABBITMQ) and so on, showing the Cambrian explosion-like situation. We also have more applications that need to rely on these data i

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