docker
vector
docker | vector | |
---|---|---|
13 | 96 | |
567 | 16,561 | |
1.1% | 1.5% | |
6.3 | 9.9 | |
about 1 month ago | about 11 hours ago | |
Shell | Rust | |
- | 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.
docker
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Using my own domain and certificate
FWIW, SWAG also allows you to open other services, like Wallabag (to replace Pocket), etc.
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Second brain like my mymind or mem
Wallabag, if you can get it running.
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Your top 5 best self hosted apps?
Wallabag - Pocket alternative, great Android and iOS clients, native MFA
- Wallabag not persistent
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Wallabag Docker Compose Setup?
I used the default config from the official GitHub page: https://github.com/wallabag/docker
- Hosting Wallabag on Oracle Cloud
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First time selfhosting: I have problem not receiving activasion email for wallabag
I grabbed wallabag docker image, installed it, ran it accordingly ( the second SQLite command in the repo readme) .In browser wallabag asks me for registration with email and it'll complete sucessfully but the email never recieved, also the format of registration page(images, css, font style) is completely off. What am I missing?
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Trouble installing wallabag on raspberry pi docker
It looks like there is already a github issue for making this multiarch. But you should be able to build the docker image yourself on your device. As long as you have git and docker installed on your raspi, run these commands:
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And idiot and his Wallabag -
Also found (this)[https://github.com/wallabag/docker/issues/71] which suggests that the images should be saved in /var/www/Wallabag/web/assets/images in the container, but that directory is empty as well.
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dockerised selfhosted bookmarks manager that suports arm64
git clone https://github.com/wallabag/docker.git
vector
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
job "vector" { datacenters = ["dc1"] # system job, runs on all nodes type = "system" group "vector" { count = 1 network { port "api" { to = 8686 } } ephemeral_disk { size = 500 sticky = true } task "vector" { driver = "docker" config { image = "timberio/vector:0.30.0-debian" ports = ["api"] volumes = ["/var/run/docker.sock:/var/run/docker.sock"] } env { VECTOR_CONFIG = "local/vector.toml" VECTOR_REQUIRE_HEALTHY = "false" } resources { cpu = 100 # 100 MHz memory = 100 # 100MB } # template with Vector's configuration template { destination = "local/vector.toml" change_mode = "signal" change_signal = "SIGHUP" # overriding the delimiters to [[ ]] to avoid conflicts with Vector's native templating, which also uses {{ }} left_delimiter = "[[" right_delimiter = "]]" data=<
- 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 .
What are some alternatives?
Wallabag - wallabag is a self hostable application for saving web pages: Save and classify articles. Read them later. Freely.
graylog - Free and open log management
docker-dokuwiki
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨
agent - Vendor-neutral programmable observability pipelines.
FREE-Amazon-BUY-Bot - FREE Amazon BUY Bot is an Add to Cart and Auto Checkout Bot. This auto buying bot can search multiple item repeatedly on the item page using AMAZON_PRODUCT_ID. Once the desired item is available it can add to cart and checkout very fast. This auto purchasing Bot works on browsers so it can run in all Operating Systems. It can run for multiple items simultaneously.
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
Portainer - Making Docker and Kubernetes management easy.
OpenSearch - 🔎 Open source distributed and RESTful search engine.
flood - A modern web UI for various torrent clients with a Node.js backend and React frontend.
tracing - Application level tracing for Rust.