mtail
prometheus
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mtail | prometheus | |
---|---|---|
23 | 381 | |
3,740 | 52,748 | |
0.9% | 1.4% | |
8.7 | 9.9 | |
7 days ago | about 8 hours ago | |
Go | Go | |
Apache License 2.0 | Apache 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.
mtail
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i need to visualize all logs from remote dir
You can do that with something like mtail. Basically write expressions that match your logs and produce metrics.
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Tool to scrape (semi)-structured log files (e.g. log4j)
mtail is a standard tool for this.
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Free netflow collector that forwards messages to a syslog server?
I use goflow2 to do something like this. I don't specifically use syslog itself for this, but mtail to generate the metrics.
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How to easily gather IPv6 VS IPv4 usage on a web server?
I can recommend mtail. Here is a good example nginx script.
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Nginx upstream_response_time average per API route?
If not, https://github.com/google/mtail might be a good option.
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Sorting a custom metric by multiple labels
Count the lines with mtail. You can regexp match the values out into labels.
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Alternatives to ELK (filebeat, logstash, kibana, elasticsearch)
If you want to extract whitebox metrics from logs, maybe all you need is mtail.
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Prometheus Custom Query/Metric based on STDOUT
You can use mtail (https://github.com/google/mtail) for this. You'll need to figure out how to plug it into your setup, but mtail will do the metrics from logs thing.
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open-source tools to monitor JSON logs for unexpected patterns?
Convert your logs to metrics with mtail.
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Server metrics monitoring and reporting for centos?
For nginx, you'll need to setup a log parser like mtail because it doesn't really have much for metrics to begin with.
prometheus
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Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance
WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and
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Tools for frontend monitoring with Prometheus
Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.
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The power of the CLI with Golang and Cobra CLI
Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.
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On Implementation of Distributed Protocols
Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.
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Monitoring, Observability, and Telemetry Explained
Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.
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Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Prometheus
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Top 5 Docker Container Monitoring Tools in 2024
Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.
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Install and Setup Grafana & Prometheus on Ubuntu 20.04 | 22.04/EC2
wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
What are some alternatives?
loki - Like Prometheus, but for logs.
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
prometheus-cpp - Prometheus Client Library for Modern C++
skywalking - APM, Application Performance Monitoring System
Sloth - Mac app that shows all open files, directories, sockets, pipes and devices in use by all running processes. Nice GUI for lsof.
Jolokia - JMX on Capsaicin
sloth - 🦥 Easy and simple Prometheus SLO (service level objectives) generator
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
scriggo - The world’s most powerful template engine and Go embeddable interpreter
JavaMelody - JavaMelody : monitoring of JavaEE applications
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.
Glowroot - Easy to use, very low overhead, Java APM