mirrord
vector
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mirrord | vector | |
---|---|---|
78 | 95 | |
3,372 | 16,366 | |
3.4% | 4.8% | |
9.6 | 9.9 | |
7 days ago | 6 days ago | |
Rust | Rust | |
MIT License | Mozilla Public 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.
mirrord
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The Traffic Police 🚨 - Controlling outgoing traffic with mirrord
So, you've been using mirrord to simplify your development process (if you haven’t, go here!). Naturally, you want the traffic from the app you're debugging to go through the cluster environment, so your app can communicate with its clustery pals. There is a problem though: your latest change adds some new columns to the database, and you don’t want to modify the database in the cluster and affect everyone else working on it. You do have a local instance of the database that you can modify, so your app can use that, but you still want it to talk to all the other components in the cluster. So what now? The new outgoing traffic filter feature is here to solve exactly this type of problem!
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Mirrord trick to get on hackernews
I had the pleasure of talking to Eyal @ CTO at Metalbear and the maintainer of Mirrord. I got some crazy insights.
- mirrord | Develop Locally with Your Kubernetes Environment
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mirrord VS gefyra - a user suggested alternative
2 projects | 3 Oct 2023
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mirrord as an alternative to Telepresence
If you want to take mirrord for a spin, check out the quick start guide. We’d love to hear about your experience or just general thoughts - chat us up on our Discord or open an issue or discussion on GitHub.
We're building an open-source tool called mirrord which lets you run a local process in the context of a pod in your cloud environment. We often get asked how mirrord is different from Telepresence and so we decided to write a short blog post about it, which we hope would be valuable to those interested in local Kubernetes development:
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Hands-on Tutorial of mirrord - Rawkode Academy
Hands-on tutorial of mirrord.dev with the creators and Rawkode!
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Projects to contribute to?
if you are interested in k8s, iptables, hooking libc, asm etc https://github.com/metalbear-co/mirrord
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Weekly: Share your victories thread
I gave my first CNCF talk in Toronto yesterday, talking about https://github.com/metalbear-co/mirrord , how all the features work, and how it's engineered!
vector
- FLaNK AI Weekly 18 March 2024
- Vector: A high-performance observability data pipeline
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Hacks to reduce cloud spend
we are doing something similar with OTEL but we are looking at using https://vector.dev/
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About reading logs
We don't pull logs, we forward logs to a centralized logging service.
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Self hosted log paraer
opensearch - amazon fork of Elasticsearch https://opensearch.org/docs/latestif you do this an have distributed log sources you'd use logstash for, bin off logstash and use vector (https://vector.dev/) its better out of the box for SaaS stuff.
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creating a centralize syslog server with elastic search
I have done something similar in the past: you can send the logs through a centralized syslog servers (I suggest syslog-ng) and from there ingest into ELK. For parsing I am advice to use something like Vector, is a lot more faster than logstash. When you have your logs ingested correctly, you can create your own dashboard in Kibana. If this fit your requirements, no need to install nginx (unless you want to use as reverse proxy for Kibana), php and mysql.
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Show HN: Homelab Monitoring Setup with Grafana
I think there's nothing currently that combines both logging and metrics into one easy package and visualizes it, but it's also something I would love to have.
Vector[1] would work as the agent, being able to collect both logs and metrics. But the issue would then be storing it. I'm assuming the Elastic Stack might now be able to do both, but it's just to heavy to deal with in a small setup.
A couple of months ago I took a brief look at that when setting up logging for my own homelab (https://pv.wtf/posts/logging-and-the-homelab). Mostly looking at the memory usage to fit it on my synology. Quickwit[2] and Log-Store[3] both come with built in web interfaces that reduce the need for grafana, but neither of them do metrics.
- [1] https://vector.dev
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Retaining Logs generated by service running in pod.
Log to stdout/stderr and collect your logs with a tool like vector (vector.dev) and send it to something like Grafana Loki.
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Lightweight logging on RPi?
I would recommend that you run vector as a systems service so you don't have to worry about managing it. Here is a basic config to do that - https://github.com/vectordotdev/vector/blob/master/distribution/systemd/vector.service .
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Monitoring traefik access logs easily
You could have a look at Grafana Loki, it's easy to run (single binary for a small setup). Shipping your logs can be done by Promtail or something like Vector. They're both lightweight log shippers with support for Loki.
What are some alternatives?
telepresence - Local development against a remote Kubernetes or OpenShift cluster
graylog - Free and open log management
Furiko - Kubernetes cron and batch job platform
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
validator - Simple validation for Rust structs
agent - Vendor-neutral programmable observability pipelines.
diesel_async - Diesel async connection implementation
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
Cargo - The Rust package manager
OpenSearch - 🔎 Open source distributed and RESTful search engine.
taffy - A high performance rust-powered UI layout library
tracing - Application level tracing for Rust.