DaGeRe

Live Translated Captions (German)

Building the project requires two components: The translation service and the livecaptions project.

Starting the Translation Service

In one folder:

• python3 -m venv .
• source bin/activate
• pip install fastapi uvicorn transformers accelerate sentencepiece

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To start Valetudo locally (with a mocked robot), execute the following commands:

1. Clone and build the backend
``` 
git clone git@github.com:Hypfer/Valetudo.git
cd Valetudo/
npm install
npm run start:dev --workspace=backend
``` 

DaGeRe

Running llama.cpp on RX 480

Even though the RX 480 is not a very recent GPU, the 8 GB VRAM are quite decent and make it possible to run LLMs much faster than with the CPU.

To make it running, three steps are necessary: Installing vulkan, building shaderc and finally building lama.cpp including the vulkan backend (assuming git, a c compiler, cmake, ninja, etc. are installed on a sufficiently recent Ubuntu).

Step 1: Installing Vulkan

Run sudo apt install libvulkan-dev vulkan-tools glslang-tools.

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OpenTelemetry Kieker Demo

To run the OpenTelemetry demo using Kieker, run the following steps:

1. Start the kieker listener:

git clone -b GH-13-GetOERFromProto git@github.com:kieker-monitoring/kieker.git
cd kieker/
cd tools/otel-transformer
../../gradlew assemble

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Starting with Kieker Instrumentation

• Download the spring instrument library: wget https://repo1.maven.org/maven2/org/springframework/spring-instrument/6.1.14/spring-instrument-6.1.14.jar
• Kieker 2.0.2-SNAPSHOT is currently in the repo. If Kieker should be updated, please the following lines to the dependencies in the main build.gradle:

  aspectJarConfig "ch.qos.logback:logback-classic:$libLogbackVersion"
  aspectJarConfig "ch.qos.logback:logback-core:$libLogbackVersion"

• Build: mvn clean package -DskipTests=true
• Start: java -Dkieker.monitoring.writer.filesystem.FileWriter.customStoragePath=monitoring-logs -Dkieker.monitoring.skipDefaultAOPConfiguration=true -javaagent:spring-instrument-6.1.14.jar -javaagent:kieker-2.0.2-SNAPSHOT-aspectj.jar -jar target/t2-modulith.war

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Running t2 Project Locally

The following describes the steps that are needed to run the t2 store locally. Before you start, please install the following things:

• A recent JDK (17 or above)
• Developer tools like git, wget, etc.
• Apache JMeter (wget https://dlcdn.apache.org//jmeter/binaries/apache-jmeter-5.6.3.tgz && tar -xvf apache-jmeter-5.6.3.tgz, now you can start JMeter using java -jar apache-jmeter-5.6.3/bin/ApacheJMeter.jar)
• Please download the project using git clone --recurse-submodules -j8 https://github.com/t2-project/t2-project.git and please replace the modulith submodule be its fork: cd t2-project/modulith/ && git remote add fork https://github.com/DaGeRe/t2-modulith.git && git pull fork with-mysql && git checkout with-mysql

Start MongoDB

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#!/bin/bash

# This script aims for cloning all my-company projects (https://ivans-innovation-lab.github.io/projects/) and building them

set -e

for project in my-company-common my-company-project-domain my-company-team-domain my-company-blog-materialized-view my-company-project-materialized-view my-company-team-materialized-view
do
	if [ ! -d $project ]
	then

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Prerequisites

Please make sure you install the following tools:

• Make sure you got JDK 11 or above installed and $JAVA_HOME set correctly.
• Make sure you got JMeter installed and $JMETER_HOME pointing to its folder.
• Make sure you got Kieker (https://github.com/kieker-monitoring/kieker) downloaded (e.g. git clone https://github.com/kieker-monitoring/kieker.git) and built via ./gradlew assemble -x test -x check -x apidoc (we use the current 2.0.0-SNAPSHOT - please file an issue if you have a problem with this steps in a newer version). Set $KIEKER_HOME to the root folder of your built Kieker.
• My fork of the TeaStore: https://github.com/DaGeRe/TeaStore (git clone --branch kieker-debug https://github.com/DaGeRe/TeaStore.git) In the forks folder:
  • Deactivate the FileWriter: `sed -i "s/kieker.monitoring.writer=kieker.monitoring.writer.filesystem.FileWriter/#kieker.monitoring.writer=kieker.monitoring.writer.filesystem.FileWriter/g" utilities/tools.descartes.teastore.dockerbase/kieker.monitor

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if [ -z "${DISL_HOME}" ]; then
        echo "\$DISL_HOME needs to be defined."
        exit 1
fi


echo "======="
echo "SI"
git checkout optimization-sourceInstrumentation
./setup.sh &> setup_si.txt

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Experiment 1: Examination of different $RECURSION_DEPTH and $TOTAL_NUM_OF_CALLS

The following steps are necessary for measurement:

git clone https://github.com/kieker-monitoring/moobench.git
cd moobench
git checkout binaryNoLoggingExamination-experiment-1
./setup.sh
cd frameworks/Kieker-java