kcat
templates
kcat | templates | |
---|---|---|
18 | 12 | |
5,253 | 790 | |
- | 3.3% | |
0.0 | 7.3 | |
5 months ago | about 1 month ago | |
C | Shell | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kcat
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JR, quality Random Data from the Command line, part I
So, is JR yet another faking library written in Go? Yes and no. JR indeed implements most of the APIs in fakerjs and Go fake it, but it's also able to stream data directly to stdout, Kafka, Redis and more (Elastic and MongoDB coming). JR can talk directly to Confluent Schema Registry, manage json-schema and Avro schemas, easily maintain coherence and referential integrity. If you need more than what is OOTB in JR, you can also easily pipe your data streams to other cli tools like kcat thanks to its flexibility.
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Deploy Apache Kafka® on Kubernetes
This deployment creates a kcat container we can use to produce and consume messages.
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How to Build a Kafka Producer in Rust with Partitioning
Now we don't see any additional output. To verify it worked, let's use kafkacat to consume the topic's events. (We install kafkacat in the Dev Container. Please run the following command in VSCode's terminal)
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Apache Kafka: A Quickstart Guide for Developers
Before we come to an end here, let's explore one additional helpful tool: kcat (formerly known as kafkacat).
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AdTech using SingleStoreDB, Kafka and Metabase
Let's look at the data in the ad_events topic from the Kafka broker and see if we can identify the problem. We'll install kcat (formerly kafkacat):
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Getting Started as a Kafka Developer
kcat (formerly KafkaCat) - https://github.com/edenhill/kcat
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Your Experience Learning and Implementing Kafka
Start with multiple consumers and produce events (this gives a sense about consistency or need for reliable data) - Producer could be command line or kafkacat
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Running Apache Kafka on Containers
kcat is an awesome tool to make our life easier, it allows us to read and write from kafka topics without tons of scripts and in a more user-friendly way.
- Unreadable data/log files created by Kafka Producer
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⌨️ Pipe xlsx files into/from Kafka... From cli with (k)cat 🙀
kcat
templates
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Creating a movie finder app with Streamlit and OMDb API
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { "name": "Python 3", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye", "customizations": { "codespaces": { "openFiles": [ "README.md", "streamlit_app.py" ] }, "vscode": { "settings": {}, "extensions": [ "ms-python.python", "ms-python.vscode-pylance" ] } }, "updateContentCommand": "[ -f packages.txt ] && sudo apt update && sudo apt upgrade && sudo xargs apt install -y
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Microsoft Docker Development Container Templates
Ooo, they have one for rails + postgres!
https://github.com/devcontainers/templates/tree/main/src/rub...
- .devcontainer Containerized environment workflow
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ChatGPT Meets GitHub Codespaces: How I'm Optimizing ChatGPT Quickstart Plugins for Remote Development
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { "name": "Python 3", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/python:0-3.11-bullseye", "features": { "ghcr.io/devcontainers-contrib/features/coverage-py:2": {} } // Features to add to the dev container. More info: https://containers.dev/features. // "features": {}, // Use 'forwardPorts' to make a list of ports inside the container available locally. "forwardPorts": [5003], // Use 'postCreateCommand' to run commands after the container is created. "postCreateCommand": "pip install -r requirements.txt", "postAttachCommand": ".devcontainer/addcodespacename.sh && python main.py", // Configure tool-specific properties. "customizations": { "codespaces": { "openFiles": [ ".well-known/ai-plugin.json", "openapi.yaml" ] } } } // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "remoteUser": "root" }
- GitHub + Dev Hackathon 2023 - Self-hosted Azure Pipelines Agent Codespace/Dev Container
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How to Build a Kafka Producer in Rust with Partitioning
$ cd tracing_publisher $ mkdir .devcontainer $ cat > .devcontainer/devcontainer.json // For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/rust { "name": "Rust", "service": "rust-log-processing", "dockerComposeFile": "../docker-compose.yml", "features": { "ghcr.io/devcontainers/features/rust:1": {} }, "workspaceFolder": "/workspaces/${localWorkspaceFolderBasename}", "shutdownAction": "stopCompose" }
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Run self-hosted GitHub runners on GitHub Codespaces (Video Tutorial)
Based on a previous blog post, this devcontainer is now publicly available as a template for anyone to use at Dev Container Templates and integrated with publicly available Codespace images.
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How to get the best Conda environment experience in Codespaces
When you start a Codespace for a project, it will try to use whatever Dev Container you have specified in your repo, else it will try to use a kitchen sink container. That default kitchen sink is can be way too much and so if you will be working with Conda environments with an Anaconda or Miniconda Dev Container template instead.
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Configure Python Formatter and Linter for a VSCode Dev Container
This example uses the Docker in Docker dev container. There are others that may suit you better, feel free to customize to your needs. This example doesn’t rely on the exact type of dev container used.
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Take your development environment anywhere and on any machine with Dev Containers.
there are already built docker images for common development environment. You can either use one of them, or build one from Docker file. Using a pre-built dev container doesn't mean you are only limited to that image, because you can still add other tools, which they are called features to that image. For a list of the pre-built templates check here, and for the other features that you can add check this. You don't need a Docker file, unless you want to build your dev environment step by step.
What are some alternatives?
kafka-python - Python client for Apache Kafka
features - A collection of Dev Container Features managed by Dev Container spec maintainers. See https://github.com/devcontainers/feature-starter to publish your own
rskafka - A minimal Rust client for Apache Kafka
features - A collection of development container 'features' for machine learning and data science
librdkafka - The Apache Kafka C/C++ library
conda-devcontainer-demo - Mini Conda + Mamba dev container setup to make working with environments easy.
console - Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
docked - Running Rails from Docker for easy start to development
jr - JR: streaming quality random data from the command line
tracing-blog-post - Example code for a blog post about tracing
kubernetes - Production-Grade Container Scheduling and Management
tracing - Application level tracing for Rust.