debug-toolkit
Grafana
debug-toolkit | Grafana | |
---|---|---|
24 | 380 | |
56 | 60,503 | |
- | 0.8% | |
2.8 | 10.0 | |
about 2 months ago | 1 day ago | |
Python | 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.
debug-toolkit
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Ask HN: Companies of one, what is your tech stack?
We're very much not a company of one anymore, but I used Unicorn Platform for our startups website (http://robusta.dev)
It's optimized for building a decent looking startup website in half an hour.
We now have an in house designer and frontend team so the whole thing will be replaced soon... But it got us fairly far.
- Ask HN: What podcasts are you listening to?
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GitHub: Private Profiles
I use it all the time when hiring!
We're open source (https://robusta.dev) and very involved in the kubernetes ecosystem so GitHub history is extremely relevant when we look at candidates.
We'll hire people with no GitHub activity too, but when it's available it's great
- Come home to it like this?? Hard reset doesnt do anything.
- KOPF for operators in python?
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"kubectl get sleep" t-shirts (free k8s give-away)
Github: https://github.com/robusta-dev/robusta Marketing site: http://robusta.dev/ Docs: https://docs.robusta.dev/master/
- GitHub - robusta-dev/debug-toolkit: A modern code-injection framework for Python. Like Pyrasite but Kubernetes-aware.
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Hikaru 0.9.0b released
We're using Hikaru extensively in Robusta. The best part (well, other then the ease of use) is that Tom is super responsive to issues on GitHub and always happy to help.
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My self-hosting infrastructure, fully automated
To everyone saying that Kubernetes is unnecessary, try implementing autoscaling, service discovery, secrets management, and autohealing in a vendor independent way without it.
Of course none of that is necessary for a self hosted home lab, but neither is gitops.
This is a very nice example of how to set stuff up properly.
OP, I would love to see Robusta (https://robusta.dev) as part of this too. It's definitely in line with your vision of automating everything, as it let's you automate the response to alerts and other events in your cluster. (Disclaimer: I'm one of the maintainers)
- Run script in the pod like a cron job.
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?
robusta - Kubernetes observability and automation, with an awesome Prometheus integration
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
batgrl - badass terminal graphics library
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
opentelemetry-python-contrib - OpenTelemetry instrumentation for Python modules
Heimdall - An Application dashboard and launcher
hyperpaper-planner - Dayplanner pdf for large e-readers (eg Remarkable 2, Supernote, Boox)
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow
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.
profile
uptime-kuma - A fancy self-hosted monitoring tool