Packetbeat
Grafana
Packetbeat | Grafana | |
---|---|---|
15 | 380 | |
12,001 | 60,503 | |
0.3% | 0.8% | |
9.9 | 10.0 | |
1 day ago | 6 days ago | |
Go | TypeScript | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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).
Grafana
- Grafana: From Dashboards to Centralized Observability
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
What are some alternatives?
Collectd - The system statistics collection daemon. Please send Pull Requests here!
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
prometheus - The Prometheus monitoring system and time series database.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
Telegraf - Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
Heimdall - An Application dashboard and launcher
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
logstash-output-elasticsearch
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
tcollector - Data collection framework for OpenTSDB
uptime-kuma - A fancy self-hosted monitoring tool