This is an automated email from the ASF dual-hosted git repository. acosentino pushed a commit to branch minio-kafka-exchange-pooling in repository https://gitbox.apache.org/repos/asf/camel-performance-tests.git
commit 754b73cb7f0a0f1bb16c1d0c9b71e547350b5c9d Author: Andrea Cosentino <anco...@gmail.com> AuthorDate: Tue Oct 19 13:20:26 2021 +0200 Added Minio to Kafka Exchange Pooling profiling example, README updated --- profiling/minio-kafka-exchange-pooling/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/profiling/minio-kafka-exchange-pooling/README.md b/profiling/minio-kafka-exchange-pooling/README.md index 34a8bbd..5dc81be 100644 --- a/profiling/minio-kafka-exchange-pooling/README.md +++ b/profiling/minio-kafka-exchange-pooling/README.md @@ -1,4 +1,4 @@ -# Minio to Kafka +# Minio to Kafka with Exchange pooling First of all run the command to start Minio @@ -74,7 +74,7 @@ docker run --rm -ti \ -v $PWD/data:/etc/camel:Z \ -e CAMEL_K_CONF=/etc/camel/application.properties \ --network="host" \ - quay.io/oscerd/minio-kafka:1.0-SNAPSHOT-jvm + quay.io/oscerd/minio-kafka-exchange-pooling:1.0-SNAPSHOT-jvm ``` ## Enabling JFR @@ -86,7 +86,7 @@ docker run --rm -ti \ -v $PWD/jfr:/work/jfr:Z \ -e CAMEL_K_CONF=/etc/camel/application.properties \ --network="host" \ - quay.io/oscerd/minio-kafka:1.0-SNAPSHOT-jvm + quay.io/oscerd/minio-kafka-exchange-pooling:1.0-SNAPSHOT-jvm ``` Now you can start JFR with the following command @@ -110,7 +110,7 @@ docker run --rm -ti \ -v async_profiler_path:/work/async-profiler:Z \ -e CAMEL_K_CONF=/etc/camel/application.properties \ --network="host" \ - quay.io/oscerd/minio-kafka:1.0-SNAPSHOT-jvm + quay.io/oscerd/minio-kafka-exchange-pooling:1.0-SNAPSHOT-jvm ``` Where async profiler path is the path of your async profiler on your host machine. @@ -140,7 +140,7 @@ docker run --rm -ti \ --network="host" \ -m 128m \ --cpu-quota="25000" \ - quay.io/oscerd/minio-kafka:1.0-SNAPSHOT-jvm + quay.io/oscerd/minio-kafka-exchange-pooling:1.0-SNAPSHOT-jvm ``` In this case we are allocating 128 Mb Memory to the container and 0.25% cpus.