目录
输入和输出集成概述
Jenkins 插件通过其 API 从 Jenkins 实例收集关于作业和节点的关键信息,从而促进全面的监控和分析。
Telegraf 的 SQL 插件允许在 SQL 数据库中无缝存储指标。当配置为 Snowflake 时,它采用专门的 DSN 格式和动态表创建,以将指标映射到适当的模式。
集成详情
Jenkins
Jenkins Telegraf 插件允许用户从 Jenkins 实例收集指标,而无需在 Jenkins 本身安装任何额外的插件。通过利用 Jenkins API,该插件检索关于 Jenkins 环境中运行的节点和作业的信息。此集成提供了 Jenkins 基础设施的全面概述,包括可用于监控和分析的实时指标。主要功能包括用于作业和节点选择的可配置过滤器、可选的 TLS 安全设置以及有效管理请求超时和连接限制的能力。这使其成为依赖 Jenkins 进行持续集成和交付的团队的必备工具,确保他们拥有维护最佳性能和可靠性所需的洞察力。
Snowflake
Telegraf 的 SQL 插件被设计为通过基于传入数据创建表和列来动态地将指标写入 SQL 数据库。当配置为 Snowflake 时,它采用 gosnowflake 驱动程序,该驱动程序使用 DSN,DSN 以紧凑的格式封装凭据、帐户详细信息和数据库配置。此设置允许自动生成表,其中每个指标都记录有精确的时间戳,从而确保详细的历史跟踪。尽管此集成被认为是实验性的,但它利用了 Snowflake 强大的数据仓库功能,使其适用于可扩展的、基于云的分析和报告解决方案。
配置
Jenkins
[[inputs.jenkins]]
## The Jenkins URL in the format "schema://host:port"
url = "http://my-jenkins-instance:8080"
# username = "admin"
# password = "admin"
## Set response_timeout
response_timeout = "5s"
## Optional TLS Config
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Use SSL but skip chain & host verification
# insecure_skip_verify = false
## Optional Max Job Build Age filter
## Default 1 hour, ignore builds older than max_build_age
# max_build_age = "1h"
## Optional Sub Job Depth filter
## Jenkins can have unlimited layer of sub jobs
## This config will limit the layers of pulling, default value 0 means
## unlimited pulling until no more sub jobs
# max_subjob_depth = 0
## Optional Sub Job Per Layer
## In workflow-multibranch-plugin, each branch will be created as a sub job.
## This config will limit to call only the lasted branches in each layer,
## empty will use default value 10
# max_subjob_per_layer = 10
## Jobs to include or exclude from gathering
## When using both lists, job_exclude has priority.
## Wildcards are supported: [ "jobA/*", "jobB/subjob1/*"]
# job_include = [ "*" ]
# job_exclude = [ ]
## Nodes to include or exclude from gathering
## When using both lists, node_exclude has priority.
# node_include = [ "*" ]
# node_exclude = [ ]
## Worker pool for jenkins plugin only
## Empty this field will use default value 5
# max_connections = 5
## When set to true will add node labels as a comma-separated tag. If none,
## are found, then a tag with the value of 'none' is used. Finally, if a
## label contains a comma it is replaced with an underscore.
# node_labels_as_tag = false
Snowflake
[[outputs.sql]]
## Database driver
## Valid options: mssql (Microsoft SQL Server), mysql (MySQL), pgx (Postgres),
## sqlite (SQLite3), snowflake (snowflake.com), clickhouse (ClickHouse)
driver = "snowflake"
## Data source name
## For Snowflake, the DSN format typically includes the username, password, account identifier, and optional warehouse, database, and schema.
## Example DSN: "username:password@account/warehouse/db/schema"
data_source_name = "username:password@account/warehouse/db/schema"
## 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} - table name as a quoted identifier
table_exists_template = "SELECT 1 FROM {TABLE} LIMIT 1"
## Initialization SQL (optional)
init_sql = ""
## 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
## Metric type to SQL type conversion
## Defaults to ANSI/ISO SQL types unless overridden. Adjust if needed for Snowflake compatibility.
#[outputs.sql.convert]
# integer = "INT"
# real = "DOUBLE"
# text = "TEXT"
# timestamp = "TIMESTAMP"
# defaultvalue = "TEXT"
# unsigned = "UNSIGNED"
# bool = "BOOL"
输入和输出集成示例
Jenkins
-
持续集成监控:使用 Jenkins 插件,通过收集作业持续时间和失败率的指标来监控持续集成管道的性能。这可以帮助团队识别管道中的瓶颈并提高整体构建效率。
-
资源分配分析:利用 Jenkins 节点指标来评估不同代理之间的资源使用情况。通过了解资源是如何分配的,团队可以优化他们的 Jenkins 架构,可能重新分配代理或调整作业配置以获得更好的性能。
-
作业执行趋势:分析历史作业性能指标,以识别作业执行随时间变化的趋势。有了这些数据,团队可以主动解决潜在问题,并在问题扩大之前进行调整,根据需要调整作业或其配置。
-
作业失败警报:实现利用 Jenkins 作业指标的警报,以便在作业失败时通知团队成员。这种主动方法可以提高运营意识并加快对失败的响应时间,确保有效监控关键作业。
Snowflake
-
基于云的数据湖集成:利用该插件将来自各种来源的实时指标流式传输到 Snowflake,从而创建集中式数据湖。此集成支持云数据上的复杂分析和机器学习工作流程。
-
动态商业智能仪表板:利用该插件从传入的指标自动生成表,并将它们馈送到 BI 工具中。这允许企业创建动态仪表板,可视化性能趋势和运营洞察,而无需手动模式管理。
-
可扩展的 IoT 分析:部署该插件以捕获来自 IoT 设备的高频数据到 Snowflake。此用例有助于传感器数据的聚合和分析,从而实现大规模的预测性维护和实时监控。
-
用于合规性的历史趋势分析:使用该插件在 Snowflake 中记录和存档详细的指标数据,然后可以查询这些数据以进行长期趋势分析和合规性报告。此设置确保组织可以维护强大的审计跟踪,并在需要时执行取证分析。
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任何错误,我们欢迎并鼓励您提出意见。请在 InfluxDB 社区 Slack 中提交您的反馈。