Packetbeat
vector
Packetbeat | vector | |
---|---|---|
15 | 97 | |
12,028 | 16,749 | |
0.3% | 1.4% | |
9.9 | 9.9 | |
5 days ago | 4 days ago | |
Go | 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.
Packetbeat
- Sample Windows Logs
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Best practice guide metricbeat rollup jobs
Found this github issue (https://github.com/elastic/beats/issues/9252) that describes the problem. Unfortunate after 4 years this is not resolved. I almost seems that Elastic does not want you to save on disk space.
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Problems with enabling filesets in Filebeat
This is a bug in 8.x https://github.com/elastic/beats/issues/30916
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Supported OS conflict between Wazuh and Filebeat
Yet, this PR in elastic/beats repo adds clone3 syscall to solve the pthread issue and they say it starts with glibc 2.34. Basically, they added clone3 to the allowed syscalls. For those who gets the same error, they can just combine both to be safe, which I did:
- Beats – The Lightweight Shippers of the Elastic Stack
- Beats - The Lightweight Shippers of the Elastic Stack
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Filebeat vs Rsyslog
Question inspired from this issue
- Elasticsearch and kibana not in repo anymore?
- Facing 403 access denied error while connecting from logstash to amazon elasticsearch
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Filebeat modules
Over at Elasticsearch you're not seeing all the parsed fields correctly? If so, the answer lies in the Filebeat Config and the Ingest Pipeline. (taking DHCP as an example in the links - there are other modules that may be relevant to you like DNS OSCP etc).
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?
Collectd - The system statistics collection daemon. Please send Pull Requests here!
graylog - Free and open log management
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
prometheus - The Prometheus monitoring system and time series database.
agent - Vendor-neutral programmable observability pipelines.
Telegraf - Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
OpenSearch - 🔎 Open source distributed and RESTful search engine.
logstash-output-elasticsearch
tracing - Application level tracing for Rust.