edeNFed

receivers:
  filelog:
    include: [ /root/emojivoto/emoji.log, /root/emojivoto/voting.log, /root/emojivoto/web.log ]
    operators:
      - type: regex_parser
        regex: '^(?P<msg>.*)$'
  otlp:
    protocols:
      grpc:
        endpoint: localhost:4319

edeNFed

apiVersion: apps/v1
kind: Deployment
metadata:
  name: emoji
  namespace: emojivoto
  labels:
    app.kubernetes.io/name: emoji
    app.kubernetes.io/part-of: emojivoto
    app.kubernetes.io/version: v11
spec:

edeNFed

autoscaler:
  image:
    repository: keyval/autoscaler
    tag: v0.1.4

scheduler:
  image:
    repository: keyval/scheduler
    tag: v0.1.4

edeNFed

CMD rm -rf /tmp \
    && ln -s /proc/1/root/tmp / \
    && java -cp .:${JAVA_HOME}/lib/tools.jar Log4jHotPatch

edeNFed

#!/usr/bin/python
# @lint-avoid-python-3-compatibility-imports
#
# profile  Profile CPU usage by sampling stack traces at a timed interval.
#          For Linux, uses BCC, BPF, perf_events. Embedded C.
#
# This is an efficient profiler, as stack traces are frequency counted in
# kernel context, rather than passing every stack to user space for frequency
# counting there. Only the unique stacks and counts are passed to user space
# at the end of the profile, greatly reducing the kernel<->user transfer.