kcat
vector
kcat | vector | |
---|---|---|
18 | 97 | |
5,283 | 16,672 | |
- | 2.5% | |
0.0 | 9.9 | |
5 months ago | 7 days ago | |
C | Rust | |
GNU General Public License v3.0 or later | Mozilla Public License 2.0 |
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
vector
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What is a low/reasonable cost solution for service log storage and querying?
I am thinking about using https://vector.dev/ but would also love opinions on the best deal for lower or reasonable cost storage/querying of logs. Thanks!
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
job "vector" { datacenters = ["dc1"] # system job, runs on all nodes type = "system" group "vector" { count = 1 network { port "api" { to = 8686 } } ephemeral_disk { size = 500 sticky = true } task "vector" { driver = "docker" config { image = "timberio/vector:0.30.0-debian" ports = ["api"] volumes = ["/var/run/docker.sock:/var/run/docker.sock"] } env { VECTOR_CONFIG = "local/vector.toml" VECTOR_REQUIRE_HEALTHY = "false" } resources { cpu = 100 # 100 MHz memory = 100 # 100MB } # template with Vector's configuration template { destination = "local/vector.toml" change_mode = "signal" change_signal = "SIGHUP" # overriding the delimiters to [[ ]] to avoid conflicts with Vector's native templating, which also uses {{ }} left_delimiter = "[[" right_delimiter = "]]" data=<
- FLaNK AI Weekly 18 March 2024
- Vector: A high-performance observability data pipeline
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Hacks to reduce cloud spend
we are doing something similar with OTEL but we are looking at using https://vector.dev/
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About reading logs
We don't pull logs, we forward logs to a centralized logging service.
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Self hosted log paraer
opensearch - amazon fork of Elasticsearch https://opensearch.org/docs/latestif you do this an have distributed log sources you'd use logstash for, bin off logstash and use vector (https://vector.dev/) its better out of the box for SaaS stuff.
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creating a centralize syslog server with elastic search
I have done something similar in the past: you can send the logs through a centralized syslog servers (I suggest syslog-ng) and from there ingest into ELK. For parsing I am advice to use something like Vector, is a lot more faster than logstash. When you have your logs ingested correctly, you can create your own dashboard in Kibana. If this fit your requirements, no need to install nginx (unless you want to use as reverse proxy for Kibana), php and mysql.
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Show HN: Homelab Monitoring Setup with Grafana
I think there's nothing currently that combines both logging and metrics into one easy package and visualizes it, but it's also something I would love to have.
Vector[1] would work as the agent, being able to collect both logs and metrics. But the issue would then be storing it. I'm assuming the Elastic Stack might now be able to do both, but it's just to heavy to deal with in a small setup.
A couple of months ago I took a brief look at that when setting up logging for my own homelab (https://pv.wtf/posts/logging-and-the-homelab). Mostly looking at the memory usage to fit it on my synology. Quickwit[2] and Log-Store[3] both come with built in web interfaces that reduce the need for grafana, but neither of them do metrics.
- [1] https://vector.dev
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Retaining Logs generated by service running in pod.
Log to stdout/stderr and collect your logs with a tool like vector (vector.dev) and send it to something like Grafana Loki.
What are some alternatives?
kafka-python - Python client for Apache Kafka
graylog - Free and open log management
rskafka - A minimal Rust client for Apache Kafka
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
librdkafka - The Apache Kafka C/C++ library
agent - Vendor-neutral programmable observability pipelines.
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.
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
templates - Repository for Dev Container Templates that are managed by Dev Container spec maintainers. See https://github.com/devcontainers/template-starter to create your own!
OpenSearch - 🔎 Open source distributed and RESTful search engine.
jr - JR: streaming quality random data from the command line
tracing - Application level tracing for Rust.