traefik
Grafana
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traefik | Grafana | |
---|---|---|
183 | 378 | |
47,638 | 60,196 | |
1.3% | 1.3% | |
9.2 | 10.0 | |
8 days ago | 6 days ago | |
Go | 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.
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.
traefik
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How to securely reverse-proxy ASP.NET Core web apps
However, it's very unlikely that .NET developers will directly expose their Kestrel-based web apps to the internet. Typically, we use other popular web servers like Nginx, Traefik, and Caddy to act as a reverse-proxy in front of Kestrel for various reasons:
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Deploying Web Apps with Caddy: A Beginner's Guide Caddy
Not as good though. Case in point: https://github.com/traefik/traefik/issues/5472#issuecomment-... (that's just from this morning)
I'm speak objectively here. Of course, any built-in auto HTTPS that works (more or less) is better than none. Traefik uses an ACME library that was originally written for Caddy. After the original author left that project, Traefik team started maintaining it. Caddy's users' requirements exceeded what the library was capable of, but unfortunately there was friction in getting it to achieve our requirements. So I ended up writing a new ACME client library in Go and, together with upgrades in CertMagic (Caddy's auto-TLS lib), Caddy has the more flexible, robust, and capable auto-HTTPS functionality.
That is to say, not all auto-HTTPS functionalities are the same.
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Security Workshop Part 1 - Put up a gate
We'll use Traefik, an open source cloud native gateway that can plug into a Kubernetes cluster. It has the concept of "middleware" that can process API requests before passing them through to a backend. We can configuring a rate limit for all of our API endpoints by matching on the request path:
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Install plugin in k8s cluster running in Kind
I did the same question here and here
- The Tailscale Universal Docker Mod
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Set Default Config in traefik.toml and overwrite with specific container config
Sadly there is currently no way of doing so. https://github.com/traefik/traefik/issues/6999
- Istio moved to CNCF Graduation stage
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Docker Services question
Traefik is another widely used system that has automatic configuration and offers support for more things like swarm/kubernetes/etc.
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nginx alternatives
I have a webapp which I currently have deployed by running nginx in a container. Works as it should, however I am intersted in adding more observability to the webapp and found this reverse-proxy https://github.com/traefik/traefik which seems to expose some nice metrics which can be useful for observability.
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Make traefik only accessible over tailscale
``` more details in this (github issue)[https://github.com/traefik/traefik/issues/5059]
Grafana
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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.
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Teach Yourself Programming in Ten Years (1998)
I completely agree but do feel it needs qualifying. The problems beginners run into aren't usually the same as the problems experienced devs run into when adopting a language new to them, but where I see the two overlap I know something is a serious hazard in a language.
Java as a first language: won't like the boilerplate but won't have any point of comparison anyway, will get a few NPEs, might use threads and get data races but won't experience memory unsafety.
Go as a first language: much less boilerplate, but will still get nil panics, will be encouraged to use goroutines because every tutorial shows off how "easy" they are, will get data races with full blown memory unsafety immediately.
Rust as a first language: `None` // no examples found
I think Go as a beginner language would be better if people were discouraged from using goroutines instead of actively encouraged (the myth of "CSP solves everything"), otherwise I think it needs much better tooling to save people from walking off a cliff with their goroutines. And no, -race clearly isn't it, especially not for a beginner.
And in one respect I've found Go more of a hazard for experienced devs than beginners: the function signature of append() gives you the intuition of a functional programming append that never modifies the original slice. This has literally resulted in CVEs[1] even by experienced devs, especially combined with goroutines. Beginners won't have an intuition for this and will hopefully check the documentation instead of assuming.
[1] https://github.com/grafana/grafana/security/advisories/GHSA-...
What are some alternatives?
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
Caddy - Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
ingress-nginx - Ingress-NGINX Controller for Kubernetes
Heimdall - An Application dashboard and launcher
Squid - Squid Web Proxy Cache
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
envoy - Cloud-native high-performance edge/middle/service proxy
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.
socks5-proxy-server - SOCKS5 proxy server
uptime-kuma - A fancy self-hosted monitoring tool