Here is the config
@Prashant Shahi -
receivers:
filelog/dockercontainers:
include: [ "/var/lib/docker/containers/*/*.log" ]
start_at: end
include_file_path: true
include_file_name: false
operators:
- type: json_parser
id: parser-docker
output: extract_metadata_from_filepath
timestamp:
parse_from: attributes.time
layout: '%Y-%m-%dT%H:%M:%S.%LZ'
- type: regex_parser
id: extract_metadata_from_filepath
regex: '^.*containers/(?P<container_id>[^_]+)/.*log$'
parse_from: attributes["log.file.path"]
output: parse_body
- type: move
id: parse_body
from: attributes.log
to: body
output: time
- type: remove
id: time
field: attributes.time
opencensus:
endpoint: 0.0.0.0:55678
otlp/spanmetrics:
protocols:
grpc:
endpoint: localhost:12345
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
cors:
allowed_origins:
-
https://app.3dcerts.tech # URL of your Frontend application
-
https://admin.3dcerts.tech
-
http://admin.3dcerts.tech
-
https://validation.3dcerts.tech
-
https://app.3dcerts.tech/react
-
http://172.31.52.68:3000
-
http://103.212.147.18:3000
-
http://10.8.0.3:3000
-
http://172.19.0.1:3000
-
http://10.8.0.1:3000
jaeger:
protocols:
grpc:
endpoint: 0.0.0.0:14250
thrift_http:
endpoint: 0.0.0.0:14268
# thrift_compact:
# endpoint: 0.0.0.0:6831
# thrift_binary:
# endpoint: 0.0.0.0:6832
hostmetrics:
collection_interval: 60s
scrapers:
cpu: {}
load: {}
memory: {}
disk: {}
filesystem: {}
network: {}
processors:
batch:
send_batch_size: 10000
send_batch_max_size: 11000
timeout: 10s
signozspanmetrics/prometheus:
metrics_exporter: prometheus
latency_histogram_buckets: [100us, 1ms, 2ms, 6ms, 10ms, 50ms, 100ms, 250ms, 500ms, 1000ms, 1400ms, 2000ms, 5s, 10s, 20s, 40s, 60s ]
dimensions_cache_size: 10000
dimensions:
- name: service.namespace
default: default
- name: deployment.environment
default: default
# memory_limiter:
# # 80% of maximum memory up to 2G
# limit_mib: 1500
# # 25% of limit up to 2G
# spike_limit_mib: 512
# check_interval: 5s
#
# # 50% of the maximum memory
# limit_percentage: 50
# # 20% of max memory usage spike expected
# spike_limit_percentage: 20
# queued_retry:
# num_workers: 4
# queue_size: 100
# retry_on_failure: true
resourcedetection:
# Using OTEL_RESOURCE_ATTRIBUTES envvar, env detector adds custom labels.
detectors: [env, system] # include ec2 for AWS, gce for GCP and azure for Azure.
timeout: 2s
override: false
extensions:
health_check:
endpoint: 0.0.0.0:13133
zpages:
endpoint: 0.0.0.0:55679
pprof:
endpoint: 0.0.0.0:1777
exporters:
clickhousetraces:
datasource:
tcp://clickhouse:9000/?database=signoz_traces
clickhousemetricswrite:
endpoint:
tcp://clickhouse:9000/?database=signoz_metrics
resource_to_telemetry_conversion:
enabled: true
prometheus:
endpoint: 0.0.0.0:8889
# logging: {}
clickhouselogsexporter:
dsn:
tcp://clickhouse:9000/
timeout: 5s
sending_queue:
queue_size: 100
retry_on_failure:
enabled: true
initial_interval: 5s
max_interval: 30s
max_elapsed_time: 300s
service:
telemetry:
metrics:
address: 0.0.0.0:8888
extensions:
- health_check
- zpages
- pprof
pipelines:
traces:
receivers: [jaeger, otlp]
processors: [signozspanmetrics/prometheus, batch]
exporters: [clickhousetraces]
metrics:
receivers: [otlp]
processors: [batch]
exporters: [clickhousemetricswrite]
metrics/hostmetrics:
receivers: [hostmetrics]
processors: [resourcedetection, batch]
exporters: [clickhousemetricswrite]
metrics/spanmetrics:
receivers: [otlp/spanmetrics]
exporters: [prometheus]
logs:
receivers: [otlp, filelog/dockercontainers]
processors: [batch]
exporters: [clickhouselogsexporter]
#http:
#cors:
#allowed_origins:
# -
https://app.3dcerts.tech # URL of your Frontend application
# -
https://admin.3dcerts.tech
# -
https://validation.3dcerts.tech