The total number of errors stemming from communication with the Docker daemon. The command execution duration in seconds. The total number of times a command has been executed. The duration spent collecting of metrics for this component. The total number of metrics collections completed for this component. The total number of errors identifying files via checksum. This metric is deprecated in favor of component_errors_total. The total number of errors writing checkpoints. Contains build information such as Rust and Vector versions. The number of events sent by this buffer. The number of events received by this buffer. The number of bytes received by this buffer. The number of events currently in the buffer. The number of events dropped by this non-blocking buffer. The number of bytes current in the buffer. The number of times the Vector GraphQL API has been started.
The number of flushes done by the aggregate transform. The number of failed metric updates, incremental adds, encountered by the aggregate transform. The number of events recorded by the aggregate transform. The observed round-trip time (RTT) for requests. The concurrency limit that the adaptive concurrency feature has decided on for this current window. The number of outbound requests currently awaiting a response. The average round-trip time (RTT) for the current window. Here’s an example configuration that delivers Vector’s metrics to a Prometheus remote write endpoint. Internal logs, you can configure an internal_metrics source and use the piped-in metrics You can monitor metrics produced by Vector using the internal_metrics source. You can enable full error backtraces by setting the RUST_BACKTRACE=full environment variable. Must be one of trace, debug, info, warn, error, off. The table below details these options: Method You can set a different level when starting up your instance using eitherĬommand-line flags or the VECTOR_LOG environment variable. Vector logs at the info level by default. ''' type = "clickhouse" inputs = host = " table = "vector-log-data" Configuring logs timestamp = to_unix_timestamp!(to_timestamp!(.timestamp)) Type = "internal_logs" type = "remap" inputs = # Reformat the timestamp to Unix time source = '''
0 kommentar(er)
