Docker 和 MySQL 集成

通过易于集成的强大性能,由 InfluxData 构建的开源数据连接器 Telegraf 提供支持。

info

对于大规模实时查询,这不是推荐的配置。为了实现查询和压缩优化、高速摄取和高可用性,您可能需要考虑 Docker 和 InfluxDB

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时间序列数据库
来源:DB Engines

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贡献者

目录

强大的性能,无限的扩展

收集、组织和处理海量高速数据。当您将任何数据视为时间序列数据时,它都会更有价值。InfluxDB 是排名第一的时间序列平台,旨在与 Telegraf 一起扩展。

查看入门方法

输入和输出集成概述

Docker 输入插件允许您使用 Docker Engine API 从 Docker 容器中收集指标,从而增强容器化应用程序的可见性和监控。

Telegraf SQL 插件允许您将来自 Telegraf 的指标直接存储到 MySQL 数据库中,从而更轻松地分析和可视化收集的指标。

集成详情

Docker

Telegraf 的 Docker 输入插件从 Docker Engine API 收集有价值的指标,从而深入了解正在运行的容器。此插件利用官方 Docker 客户端与 Engine API 交互,允许用户监控各种容器状态、资源分配和性能指标。通过按名称和状态过滤容器的选项,以及可自定义的标签,此插件支持在各种环境中监控容器化应用程序的灵活性,无论是在本地系统上还是在 Kubernetes 等编排平台中。此外,它通过要求访问 Docker 守护进程的权限来解决安全问题,并强调在容器化环境中部署时的正确配置。

MySQL

Telegraf 的 SQL 输出插件旨在通过基于传入指标动态创建表和列,将指标数据无缝写入 SQL 数据库。当配置为 MySQL 时,该插件利用 go-sql-driver/mysql,这需要启用 ANSI_QUOTES SQL 模式以确保正确处理带引号的标识符。这种动态模式创建方法确保每个指标都存储在自己的表中,其结构源自其字段和标签,从而提供系统性能的详细、带时间戳的记录。该插件的灵活性使其能够处理高吞吐量环境,使其成为需要强大、精细的指标日志记录和历史数据分析的场景的理想选择。

配置

Docker

[[inputs.docker]]
  ## Docker Endpoint
  ##   To use TCP, set endpoint = "tcp://[ip]:[port]"
  ##   To use environment variables (ie, docker-machine), set endpoint = "ENV"
  endpoint = "unix:///var/run/docker.sock"

  ## Set to true to collect Swarm metrics(desired_replicas, running_replicas)
  ## Note: configure this in one of the manager nodes in a Swarm cluster.
  ## configuring in multiple Swarm managers results in duplication of metrics.
  gather_services = false

  ## Only collect metrics for these containers. Values will be appended to
  ## container_name_include.
  ## Deprecated (1.4.0), use container_name_include
  container_names = []

  ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
  source_tag = false

  ## Containers to include and exclude. Collect all if empty. Globs accepted.
  container_name_include = []
  container_name_exclude = []

  ## Container states to include and exclude. Globs accepted.
  ## When empty only containers in the "running" state will be captured.
  # container_state_include = []
  # container_state_exclude = []

  ## Objects to include for disk usage query
  ## Allowed values are "container", "image", "volume" 
  ## When empty disk usage is excluded
  storage_objects = []

  ## Timeout for docker list, info, and stats commands
  timeout = "5s"

  ## Whether to report for each container per-device blkio (8:0, 8:1...),
  ## network (eth0, eth1, ...) and cpu (cpu0, cpu1, ...) stats or not.
  ## Usage of this setting is discouraged since it will be deprecated in favor of 'perdevice_include'.
  ## Default value is 'true' for backwards compatibility, please set it to 'false' so that 'perdevice_include' setting
  ## is honored.
  perdevice = true

  ## Specifies for which classes a per-device metric should be issued
  ## Possible values are 'cpu' (cpu0, cpu1, ...), 'blkio' (8:0, 8:1, ...) and 'network' (eth0, eth1, ...)
  ## Please note that this setting has no effect if 'perdevice' is set to 'true'
  # perdevice_include = ["cpu"]

  ## Whether to report for each container total blkio and network stats or not.
  ## Usage of this setting is discouraged since it will be deprecated in favor of 'total_include'.
  ## Default value is 'false' for backwards compatibility, please set it to 'true' so that 'total_include' setting
  ## is honored.
  total = false

  ## Specifies for which classes a total metric should be issued. Total is an aggregated of the 'perdevice' values.
  ## Possible values are 'cpu', 'blkio' and 'network'
  ## Total 'cpu' is reported directly by Docker daemon, and 'network' and 'blkio' totals are aggregated by this plugin.
  ## Please note that this setting has no effect if 'total' is set to 'false'
  # total_include = ["cpu", "blkio", "network"]

  ## docker labels to include and exclude as tags.  Globs accepted.
  ## Note that an empty array for both will include all labels as tags
  docker_label_include = []
  docker_label_exclude = []

  ## Which environment variables should we use as a tag
  tag_env = ["JAVA_HOME", "HEAP_SIZE"]

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

MySQL

[[outputs.sql]]
  ## Database driver
  ## Valid options: mssql (Microsoft SQL Server), mysql (MySQL), pgx (Postgres),
  ##  sqlite (SQLite3), snowflake (snowflake.com) clickhouse (ClickHouse)
  driver = "mysql"

  ## Data source name
  ## The format of the data source name is different for each database driver.
  ## See the plugin readme for details.
  data_source_name = "username:password@tcp(host:port)/dbname"

  ## Timestamp column name
  timestamp_column = "timestamp"

  ## Table creation template
  ## Available template variables:
  ##  {TABLE} - table name as a quoted identifier
  ##  {TABLELITERAL} - table name as a quoted string literal
  ##  {COLUMNS} - column definitions (list of quoted identifiers and types)
  table_template = "CREATE TABLE {TABLE}({COLUMNS})"

  ## Table existence check template
  ## Available template variables:
  ##  {TABLE} - tablename as a quoted identifier
  table_exists_template = "SELECT 1 FROM {TABLE} LIMIT 1"

  ## Initialization SQL
  init_sql = "SET sql_mode='ANSI_QUOTES';"

  ## Maximum amount of time a connection may be idle. "0s" means connections are
  ## never closed due to idle time.
  connection_max_idle_time = "0s"

  ## Maximum amount of time a connection may be reused. "0s" means connections
  ## are never closed due to age.
  connection_max_lifetime = "0s"

  ## Maximum number of connections in the idle connection pool. 0 means unlimited.
  connection_max_idle = 2

  ## Maximum number of open connections to the database. 0 means unlimited.
  connection_max_open = 0

  ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
  ## plugin definition, otherwise additional config options are read as part of the
  ## table

  ## Metric type to SQL type conversion
  ## The values on the left are the data types Telegraf has and the values on
  ## the right are the data types Telegraf will use when sending to a database.
  ##
  ## The database values used must be data types the destination database
  ## understands. It is up to the user to ensure that the selected data type is
  ## available in the database they are using. Refer to your database
  ## documentation for what data types are available and supported.
  #[outputs.sql.convert]
  #  integer              = "INT"
  #  real                 = "DOUBLE"
  #  text                 = "TEXT"
  #  timestamp            = "TIMESTAMP"
  #  defaultvalue         = "TEXT"
  #  unsigned             = "UNSIGNED"
  #  bool                 = "BOOL"
  #  ## This setting controls the behavior of the unsigned value. By default the
  #  ## setting will take the integer value and append the unsigned value to it. The other
  #  ## option is "literal", which will use the actual value the user provides to
  #  ## the unsigned option. This is useful for a database like ClickHouse where
  #  ## the unsigned value should use a value like "uint64".
  #  # conversion_style = "unsigned_suffix"

输入和输出集成示例

Docker

  1. 监控容器化应用程序的性能:使用 Docker 输入插件来跟踪在 Docker 容器中运行的应用程序的 CPU、内存、磁盘 I/O 和网络活动。通过收集这些指标,DevOps 团队可以主动管理资源分配、排除性能瓶颈并确保跨不同环境的最佳应用程序性能。

  2. 与 Kubernetes 集成:利用此插件收集由 Kubernetes 编排的 Docker 容器的指标。通过滤除不必要的 Kubernetes 标签并专注于关键指标,团队可以简化其监控解决方案并创建仪表板,从而深入了解 Kubernetes 集群中运行的微服务的整体健康状况。

  3. 容量规划和资源优化:使用 Docker 输入插件收集的指标来执行 Docker 部署的容量规划。分析使用模式有助于识别未充分利用的资源和过度配置的容器,从而指导根据实际使用趋势进行向上或向下扩展的决策。

  4. 容器异常的自动警报:根据通过 Docker 插件收集的指标设置警报规则,以通知团队资源使用量异常激增或服务中断。这种主动监控方法有助于维护服务可靠性并优化容器化应用程序的性能。

MySQL

  1. 实时 Web 分析存储:利用该插件捕获网站性能指标并将其存储在 MySQL 中。此设置使团队能够监控用户交互、分析流量模式并根据实时数据洞察动态调整站点功能。

  2. 物联网设备监控:利用该插件从物联网传感器网络收集指标,并将它们记录到 MySQL 数据库中。此用例支持设备健康状况和性能的持续监控,从而实现预测性维护和对异常的即时响应。

  3. 金融交易日志记录:记录带有精确时间戳的高频金融交易数据。此方法支持强大的审计跟踪、实时欺诈检测以及全面的历史分析,以用于合规性和报告目的。

  4. 应用程序性能基准测试:将插件与应用程序性能监控系统集成,以将指标记录到 MySQL 中。这有助于随着时间的推移进行详细的基准测试和趋势分析,使组织能够有效地识别性能瓶颈并优化资源分配。

反馈

感谢您成为我们社区的一份子!如果您有任何一般性反馈或在这些页面上发现了任何错误,我们欢迎并鼓励您的意见。请在 InfluxDB 社区 Slack 中提交您的反馈。

强大的性能,无限的扩展

收集、组织和处理海量高速数据。当您将任何数据视为时间序列数据时,它都会更有价值。InfluxDB 是排名第一的时间序列平台,旨在与 Telegraf 一起扩展。

查看入门方法

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