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序数据时,它都更有价值。使用 InfluxDB,这个排名第一的时序平台,它与 Telegraf 一起构建以实现扩展。
查看入门方法
输入和输出集成概述
Syslog 插件允许使用标准网络协议从各种来源收集 syslog 消息。此功能对于需要有效监控和记录系统的环境至关重要。
Telegraf 的 SQL 插件使用简单的表架构和动态列生成将收集的指标发送到 SQL 数据库。当配置为 ClickHouse 时,它会调整 DSN 格式和类型转换设置,以确保无缝数据集成。
集成详情
Syslog
Telegraf 的 Syslog 插件捕获通过各种协议(如 TCP、UDP 和 TLS)传输的 syslog 消息。它支持 RFC 5424(较新的 syslog 协议)和较旧的 RFC 3164(BSD syslog 协议)。此插件作为服务输入运行,有效启动一个服务,监听传入的 syslog 消息。与传统插件不同,服务输入可能无法使用标准间隔设置或 CLI 选项(如 `--once`)。它包括用于设置网络配置、套接字权限、消息处理和连接处理的选项。此外,与 Rsyslog 的集成允许转发日志消息,使其成为实时收集和中继系统日志的强大工具,从而无缝集成到监控和日志系统中。
Clickhouse
Telegraf 的 SQL 插件旨在通过基于传入指标动态创建表和列,将指标数据写入 SQL 数据库。当配置为 ClickHouse 时,它使用 clickhouse-go v1.5.4 驱动程序,该驱动程序采用独特的 DSN 格式和一组专门的类型转换规则,将 Telegraf 的数据类型直接映射到 ClickHouse 的原生类型。这种方法确保了在高吞吐量环境中实现最佳的存储和检索性能,使其非常适合实时分析和大规模数据仓库。动态模式创建和精确的类型映射实现了详细的时序数据日志记录,这对于监控现代分布式系统至关重要。
配置
Syslog
[[inputs.syslog]]
## Protocol, address and port to host the syslog receiver.
## If no host is specified, then localhost is used.
## If no port is specified, 6514 is used (RFC5425#section-4.1).
## ex: server = "tcp://localhost:6514"
## server = "udp://:6514"
## server = "unix:///var/run/telegraf-syslog.sock"
## When using tcp, consider using 'tcp4' or 'tcp6' to force the usage of IPv4
## or IPV6 respectively. There are cases, where when not specified, a system
## may force an IPv4 mapped IPv6 address.
server = "tcp://127.0.0.1:6514"
## Permission for unix sockets (only available on unix sockets)
## This setting may not be respected by some platforms. To safely restrict
## permissions it is recommended to place the socket into a previously
## created directory with the desired permissions.
## ex: socket_mode = "777"
# socket_mode = ""
## Maximum number of concurrent connections (only available on stream sockets like TCP)
## Zero means unlimited.
# max_connections = 0
## Read timeout (only available on stream sockets like TCP)
## Zero means unlimited.
# read_timeout = "0s"
## Optional TLS configuration (only available on stream sockets like TCP)
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Enables client authentication if set.
# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
## Maximum socket buffer size (in bytes when no unit specified)
## For stream sockets, once the buffer fills up, the sender will start
## backing up. For datagram sockets, once the buffer fills up, metrics will
## start dropping. Defaults to the OS default.
# read_buffer_size = "64KiB"
## Period between keep alive probes (only applies to TCP sockets)
## Zero disables keep alive probes. Defaults to the OS configuration.
# keep_alive_period = "5m"
## Content encoding for message payloads
## Can be set to "gzip" for compressed payloads or "identity" for no encoding.
# content_encoding = "identity"
## Maximum size of decoded packet (in bytes when no unit specified)
# max_decompression_size = "500MB"
## Framing technique used for messages transport
## Available settings are:
## octet-counting -- see RFC5425#section-4.3.1 and RFC6587#section-3.4.1
## non-transparent -- see RFC6587#section-3.4.2
# framing = "octet-counting"
## The trailer to be expected in case of non-transparent framing (default = "LF").
## Must be one of "LF", or "NUL".
# trailer = "LF"
## Whether to parse in best effort mode or not (default = false).
## By default best effort parsing is off.
# best_effort = false
## The RFC standard to use for message parsing
## By default RFC5424 is used. RFC3164 only supports UDP transport (no streaming support)
## Must be one of "RFC5424", or "RFC3164".
# syslog_standard = "RFC5424"
## Character to prepend to SD-PARAMs (default = "_").
## A syslog message can contain multiple parameters and multiple identifiers within structured data section.
## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"]
## For each combination a field is created.
## Its name is created concatenating identifier, sdparam_separator, and parameter name.
# sdparam_separator = "_"
Clickhouse
[[outputs.sql]]
## Database driver
## Valid options include mssql, mysql, pgx, sqlite, snowflake, clickhouse
driver = "clickhouse"
## Data source name
## For ClickHouse, the DSN follows the clickhouse-go v1.5.4 format.
## Example DSN: "tcp://localhost:9000?debug=true"
data_source_name = "tcp://localhost:9000?debug=true"
## 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 for ClickHouse.
## The conversion maps Telegraf metric types to ClickHouse native data types.
[outputs.sql.convert]
conversion_style = "literal"
integer = "Int64"
text = "String"
timestamp = "DateTime"
defaultvalue = "String"
unsigned = "UInt64"
bool = "UInt8"
real = "Float64"
输入和输出集成示例
Syslog
-
集中式日志管理:使用 Syslog 插件将来自多台服务器的日志消息聚合到中央日志记录系统中。此设置可以通过从不同来源收集 syslog 数据,帮助监控整体系统健康状况、有效排除故障并维护审计跟踪。
-
实时警报:将 Syslog 插件与警报工具集成,以便在检测到特定日志模式或错误时触发实时通知。例如,如果日志中出现关键系统错误,则可以向运维团队发送警报,从而最大限度地减少停机时间并执行主动维护。
-
安全监控:利用 Syslog 插件进行安全监控,方法是从防火墙、入侵检测系统和其他安全设备捕获日志。这种日志记录能力增强了安全可见性,并通过分析捕获的 syslog 数据,帮助调查潜在的恶意活动。
-
应用程序性能跟踪:利用 Syslog 插件通过收集来自各种应用程序的日志来监控应用程序性能。这种集成有助于分析应用程序的行为和性能趋势,从而帮助优化应用程序流程并确保更顺畅的运行。
Clickhouse
-
高容量数据的实时分析:使用该插件将来自大型系统的流式指标馈送到 ClickHouse 中。此设置支持超快的查询性能和近乎实时的分析,非常适合监控高流量应用程序。
-
时序数据仓库:将插件与 ClickHouse 集成以创建强大的时序数据仓库。此用例允许组织存储详细的历史指标,并执行复杂的查询以进行趋势分析和容量规划。
-
分布式环境中的可扩展监控:利用该插件在 ClickHouse 中为每种指标类型动态创建表,从而更轻松地管理和查询来自大量分布式系统的数据,而无需预先定义模式。
-
物联网部署的优化存储:部署该插件以将来自 IoT 传感器的数据摄取到 ClickHouse 中。其高效的模式创建和原生类型映射有助于处理海量数据,从而实现实时监控和预测性维护。
反馈
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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序数据时,它都更有价值。使用 InfluxDB,这个排名第一的时序平台,它与 Telegraf 一起构建以实现扩展。
查看入门方法