magic-trace
Grafana
| magic-trace | Grafana | |
|---|---|---|
| 29 | 382 | |
| 4,465 | 60,729 | |
| 1.1% | 1.2% | |
| 6.8 | 10.0 | |
| 23 days ago | 5 days ago | |
| OCaml | TypeScript | |
| MIT License | 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.
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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.
magic-trace
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When Optimising Code, Measure
I really like magic-trace [0].
https://github.com/janestreet/magic-trace
Not that the exact tracing relies on Intel PT - support for AMD was added recently but uses perf so suffers from the same sampling/skew issues, but is still very useful.
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Grafana Phlare, open source database for continuous profiling at scale
Would love to see this integrate with magic trace [1]. I'll need to look at the code for the flamegraph plugin, because handling nanosecond timestamps in flamegraphs seems to break most tools due to float precision.
(1) https://github.com/janestreet/magic-trace
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How to break into Hudson River Trading?
As for inner workings, have you looked into magic trace? I want to play around with it but last I checked, it doesn't work on macs.
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Brendan Intel.com
I really hope he can work with cloud vendors and Intel to make Processor Trace a more popular and easier to use capability.
It's unfortunate how https://github.com/janestreet/magic-trace and PMUs in general can't be used by lots of people using cloud VMs.
- GitHub - janestreet/magic-trace: magic-trace collects and displays high-resolution traces of what a process is doing
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Hacker News top posts: Apr 23, 2022
Magic-trace – High-resolution traces of what a process is doing\ (133 comments)
- Magic-trace – High-resolution traces of what a process is doing
- Magic-trace - 高分辨率跟踪一个进程正在做什么 (Magic-trace – High-resolution traces of what a process is doing)
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?
viztracer - VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
perfetto - Frontend for magic-trace; forks https://ui.perfetto.dev
Heimdall - An Application dashboard and launcher
linux - Linux kernel source tree
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
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.
memray - Memray is a memory profiler for Python
uptime-kuma - A fancy self-hosted monitoring tool