xg2xg
Grafana
Our great sponsors
xg2xg | Grafana | |
---|---|---|
15 | 379 | |
14,071 | 60,395 | |
- | 1.7% | |
1.0 | 10.0 | |
29 days ago | 2 days ago | |
TypeScript | ||
- | 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.
xg2xg
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An ex-Googler's guide to dev tools
What about Mendel and Streamz? I don't see those in https://github.com/jhuangtw/xg2xg
- A lookup table of similar tech and services by ex-googlers
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To the people trying to get into FAANG
Infact most of the tech stack that the world uses is also used by these companies but in the form of internal tools so I don't think there should be a problem switching. Here is an example for Google https://github.com/jhuangtw/xg2xg
- [GitHub] jhuangtw/xg2xg: by ex-googlers, for ex-googlers - a lookup table of similar tech & services
- GitHub - jhuangtw/xg2xg: by ex-googlers, for ex-googlers - a lookup table of similar tech & services
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I feel like I’m only learning the company tools and no actual skills. Is that common?
Was able to find it yes :) https://github.com/jhuangtw/xg2xg
- Company internal tools
- Open Source Alternative To
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I recently joined a data engineering team, and my boss wants to consolidate all of our projects into one single git repository. Is this a bad practice?
Google first did their monorepo presentation back in 2015. Also, look at xg2xg to understand how much customize internal tooling Google has.
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Will it be difficult for me to find job in my future?
Tools could be anything like Unix command line tools, build tools, frameworks, other libraries, or some of the larger pieces of infrastructure like those listed at xg2xg.
Grafana
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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:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products 🚀
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
xy2xy - A list of technologies similar to inner Yandex technologies
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
hiring-without-whiteboards - ⭐️ Companies that don't have a broken hiring process
Heimdall - An Application dashboard and launcher
ansible-role-docker - Ansible Role - Docker
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
mongodb-cheatsheet - Kick start with mongodb
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.
naming-cheatsheet - Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.
uptime-kuma - A fancy self-hosted monitoring tool