This is an automated email from the ASF dual-hosted git repository. acosentino pushed a commit to branch kafka-azure-stor-blob in repository https://gitbox.apache.org/repos/asf/camel-performance-tests.git
commit 5245d28d0f1d2c24d322a447a1ca25c2e7f578cd Author: Andrea Cosentino <[email protected]> AuthorDate: Wed Nov 3 07:55:49 2021 +0100 Kafka to Azure Storage Blob: Fixed README --- profiling/kafka-azure-storage-blob/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/profiling/kafka-azure-storage-blob/README.md b/profiling/kafka-azure-storage-blob/README.md index ace83b1..2305c80 100644 --- a/profiling/kafka-azure-storage-blob/README.md +++ b/profiling/kafka-azure-storage-blob/README.md @@ -1,6 +1,6 @@ -# camel-k-runtime-example-kafka-s3 +# Kafka to Azure Storage Blob -In the routes.yaml file, set correctly the AWS credentials for your S3 bucket. +In the routes.yaml file, set correctly the Azure credentials for storage blob. Also you'll need to run a Kafka cluster to point to. In this case you could use an ansible role like https://github.com/oscerd/kafka-ansible-role @@ -38,7 +38,7 @@ docker run --rm -ti \ -v $PWD/data:/etc/camel:Z \ -e CAMEL_K_CONF=/etc/camel/application.properties \ --network="host" \ - quay.io/oscerd/kafka-s3:1.0-SNAPSHOT-jvm + quay.io/oscerd/kafka-azure-storage-blob:1.0-SNAPSHOT-jvm ``` You'll need a running Kafka broker locally on your host. @@ -52,7 +52,7 @@ docker run --rm -ti \ -v $PWD/jfr:/work/jfr:Z \ -e CAMEL_K_CONF=/etc/camel/application.properties \ --network="host" \ - quay.io/oscerd/kafka-s3:1.0-SNAPSHOT-jvm + quay.io/oscerd/kafka-azure-storage-blob:1.0-SNAPSHOT-jvm ``` You'll need a running Kafka broker locally on your host. @@ -78,7 +78,7 @@ 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/kafka-s3:1.0-SNAPSHOT-jvm + quay.io/oscerd/kafka-azure-storage-blob:1.0-SNAPSHOT-jvm ``` Where async profiler path is the path of your async profiler on your host machine. @@ -108,7 +108,7 @@ docker run --rm -ti \ --network="host" \ -m 128m \ --cpu-quota="25000" \ - quay.io/oscerd/kafka-s3:1.0-SNAPSHOT-jvm + quay.io/oscerd/kafka-azure-storage-blob:1.0-SNAPSHOT-jvm ``` In this case we are allocating 128 Mb Memory to the container and 0.25% cpus.
