Cowboy Denny

Exterior Body Color: White Wheels: Hutchinson Tires: 37" BF Goodrich KO2's Interior Color: Red Wine Mechanical Engine: 383 Stroker with Holly Fuel Injection Transmission: 4L60e Suspension: 6" BDS Soft Ride Status: SOLD

Exterior Body Color: Dark Gray Wheels: -- Tires: BF Goodrich A/T Interior Color: Black Mechanical Engine: 6.6L Duramax Diesel Transmission: Allison Status: SOLD

Exterior Body Color: White Wheels: -- Tires: BF Goodrich A/T Interior Color: Black Mechanical Engine: 4.0L Transmission: 5spd Manual Status SOLD

From Lexicon DJ make sure you delete the musiclibrary and then open up Apple Music by holding the Option key and click on Music and select create library.. Change from Music 1 to just Music and when clicking Ok select yes replace. Then close Apple Music. In Lexicon DJ click Sync to Itunes which works on creating you an XML file You may learn that with Apple Music (old iTunes) that it will time out (become Not Responding) when trying to import the XML file created by Lexicon DJ. Nothing wrong with Lexicon DJ and more of an issue with large database but no worries, there is a way to fix it. Create file: split_playlist.py Copy the following and paste into that file you just created import plistlib import copy import math # Load your file with open("library.xml", "rb") as f: data = plistlib.load(f) tracks = data["Tracks"] playlists = data["Playlists"] CHUNK_SIZE = 5000 # adjust — if 5k is too many change to 200 tracks per file track_ids = list(tracks.keys()) num_chunks = math.ceil(len(track_ids) / CHUNK_SIZE) for i in range(num_chunks): chunk_ids = set(track_ids[i * CHUNK_SIZE:(i + 1) * CHUNK_SIZE]) chunk_tracks = {k: v for k, v in tracks.items() if k in chunk_ids} # Only keep playlist items that reference tracks in this chunk chunk_playlists = [] for pl in playlists: new_pl = copy.deepcopy(pl) items = pl.get("Playlist Items", []) new_pl["Playlist Items"] = [ item for item in items if str(item.get("Track ID", "")) in chunk_ids ] if new_pl["Playlist Items"]: chunk_playlists.append(new_pl) chunk_data = copy.deepcopy(data) chunk_data["Tracks"] = chunk_tracks chunk_data["Playlists"] = chunk_playlists out_file = f"playlist_chunk_{i+1}.xml" with open(out_file, "wb") as f: plistlib.dump(chunk_data, f, fmt=plistlib.FMT_XML) print(f"Wrote {out_file} with {len(chunk_tracks)} tracks")You will need to replace library.xml in the above code with the name of your playlist that you are trying to import (should still end in xml). then just run: python3 split_playlist.pyNow you will have several smaller, more acceptable, xml files that Apple Music should be able to process without any problems.

In this case we are troubleshooting specially Linux to SPLUNK running on port 6514 but the focus is on connectivity so should work for most scenarios. A common issue is firewall blocking flow so I test by running netcat using a command like this from the source Linux server nc -v 10.11.12.13 6514RESULTS: successful: no firewall blocked anything else: firewall blocking or port is not up on destination If the Firewall is not blocking traffic then check to see if you have an establish connection using netstat on the Linux box netstat -an | grep 6514 Another helpful tool in this sceanrio is to check tcpdump to see the traffic being sent to the destination server. I would typcally run something like tcpdump -nni any dst host 10.11.12.13 and dst port 6514

This is the build on my Cutlass Supreme Convertible

If you don't have docker installed yet and if you are like me are running rhel on a VM here are the instructions Installation StepsRegister Your RHEL System: Use the following command to register your system: subscription-manager registerEnable the Extras Repository: The Docker package is available in the RHEL Extras repository. Enable it with: subscription-manager repos --enable=rhel-7-server-extras-rpmsInstall Docker: Use the package manager to install Docker: yum install dockerStart Docker Service: After installation, start the Docker service: systemctl start dockerEnable Docker to Start on Boot: To ensure Docker starts automatically on system boot, use: systemctl enable dockerPost-InstallationVerify Installation: Check if Docker is installed correctly by running: docker --versionRun a Test Container: You can test your installation by running a simple container: docker run hello-worldBy following these steps, you will have Docker installed and running on your RHEL virtual machine.

To deploy Prometheus and Grafana on Docker, create a docker-compose.yml file that defines both services, mapping the necessary ports (9090 for Prometheus and 3000 for Grafana). Then, run the command docker-compose up -d to start the containers. Setting Up Prometheus and Grafana on DockerTo deploy Prometheus and Grafana using Docker, follow these steps to create a docker-compose.yml file and start the services. PrerequisitesEnsure you have Docker and Docker Compose installed on your machine. Open ports 9090 (for Prometheus) and 3000 (for Grafana) on your host. Create the Docker Compose FileCreate a directory for your project. Inside this directory, create a file named docker-compose.yml with the following content: version: '3' services: prometheus: image: prom/prometheus:latest container_name: prometheus ports: - "9090:9090" volumes: - ./prometheus.yml:/etc/prometheus/prometheus.yml command: - '--config.file=/etc/prometheus/prometheus.yml' grafana: image: grafana/grafana:latest container_name: grafana ports: - "3000:3000" volumes: - grafana-data:/var/lib/grafana volumes: grafana-data:Create the Prometheus Configuration FileIn the same directory, create a file named prometheus.yml with the following content: global: scrape_interval: 15s scrape_configs: - job_name: 'prometheus' static_configs: - targets: ['localhost:9090'] Start the ServicesRun the following command in your terminal to start Prometheus and Grafana: docker-compose up -dAccess the ServicesPrometheus: Open your web browser and go to http://localhost:9090. Grafana: Open your web browser and go to http://localhost:3000. The default login credentials are admin/admin. Verify the SetupCheck that both services are running correctly by navigating to their respective URLs. You should see the Prometheus interface and the Grafana login page.