The Vector team is pleased to announce version 0.13.0!
This release brings a new datadog_logs
source to accept logs from dd-agents, a new
gcp_stackdriver_metrics
sink to send metrics to GCP Stackdriver, and a new
subcommand, vector tap
that allows for inspecting events flowing out of a component. It also brings a number
of smaller enhancements, particularly around the Vector Remap Language used by our
remap
, filter
, and route
transforms.
Check out the highlights and changelog for more details.
events_in_total
internal metric to sources
route
transform can now process metrics
is_TYPE
helper functions such as is_string
json
to Log
type to expose the log event as JSON
parse_regex
now suppresses the numeric capture groups by default but they can be re-added via numeric_groups: true
in the function call
channel
query parameter rather than just the X-Splunk-Request-Channel
header
datadog_logs
source
abort
statement to halt processing
parse_query_string
function
parse_linux_authorization
function
abort
statement
parse_csv
function
tap
subcommand to view events flowing out of a component
parse_nginx_log
function for parsing common nginx log formats
to_regex
function to convert strings to regexes
--no-topology
has been removed from vector validate
case_sensitive
parameter for string matching functions (like starts_with
) were updated to default to case sensitive matching to match docs
aws_s3
, aws_kinesis_firehose
, splunk_hec
, and http
sources to handle multi-part files
.
Shortly you will be able to iterate over data in VRL to:
We are hard at work at expanding the ability to run Vector as an aggregator in Kubernetes. This will allow you to build end-to-end observability pipelines in Kubernetes with Vector. Distributing processing on the edge, centralizing it with an aggregator, or both. If you are interested in beta testing, please join our chat and let us know.
This was mentioned in the release notes for 0.11.0, but didn’t quite make it for 0.12 as anticipated. We do expect it to be released in the next few months.
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