mgmt
vector
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mgmt | vector | |
---|---|---|
32 | 96 | |
3,399 | 16,427 | |
- | 5.2% | |
9.6 | 9.9 | |
6 days ago | 7 days ago | |
Go | Rust | |
GNU General Public License v3.0 only | 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.
mgmt
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Show HN: A new provisioning tool built with mgmt
This is a new provisioning tool built with https://github.com/purpleidea/mgmt/ that I hope both provides great value and also demonstrates the start of a new way to build certain kinds of software.
Thanks for reading!
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The Cell Programming Language
I've looked briefly into this project before. Some ideas are similar to what I'm doing in https://github.com/purpleidea/mgmt/ but the really weird thing is that I have no idea who's behind this language. A person? A company? A small group? Are they anonymous for some reason or am I oblivious?
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Show HN: Workflow Orchestrator in Golang
I don't generally believe in orchestrators (they miss the point, things are not single computers and neither is the world) and so I have that feedback here but also for:
> Airflow/Cadence/Temporal/Databuilderframework?
Which don't really think about modelling non-centralized things.
This of course doesn't mean they're not useful, it's just that they don't have what I believe is a good long-term value proposition.
I'm incredibly biased because I'm working on programmatic, real-time modelling of distributed systems with https://github.com/purpleidea/mgmt/
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The Claro Programming Language
The DAG concurrency stuff feels familiar to what I've been doing with our language, mcl. https://github.com/purpleidea/mgmt/
Our goal is NOT a general-purpose turing-complete language like this one is, but we do some amazing lock-free, DAG concurrency things to achieve the processing wins.
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HashiCorp Adopts Business Source License
I don't think it's good news, but why is anyone surprised? Nobody wants to pay for open source.
Companies want it for free, and individuals don't have enough luxury time to be able to do it themselves.
Prove me wrong and help patch or fund https://github.com/purpleidea/mgmt/ and you'll have an even better replacement for terraform!
- Ask HN: Could you show your personal blog here?
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I want to contribute to open-source software written in Go
Individual here, not a company. We'd love contributors to https://github.com/purpleidea/mgmt/
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On June 12th, many subreddits will be going dark to protest the killing of 3rd Party Apps! All FOSS apps are 3rd Party Apps. Will /r/linux join the strike?
Eventually decided puppet wasn't a good enough tool to be able to autonomously deploy and continuously manage such clusters. So I started working on this https://github.com/purpleidea/mgmt/ project. Not quite MVP yet, but trying to get there soon. Got distracted along the way with having to work real jobs (Red Hat, Amazon) to pay bills.
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Interactive animations
Yeah, that project is pretty much at the bottom of my list, unfortunately. My top projects these days are mgmt, klister, recursion-schemes, and hint... And that's already too much!
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Benchmarking ansible-core 2.11 vs 2.14 and python 3.9 vs 3.11 along with ara's database backends
There are certainly faster alternatives out there (mgmt comes to mind) but then, they're not Ansible.
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?
GNU Stow - GNU Stow - mirror of savannah git repository occasionally with more bleeding-edge branches
graylog - Free and open log management
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
agent - Vendor-neutral programmable observability pipelines.
Home Manager using Nix - Manage a user environment using Nix [maintainer=@rycee]
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
Chef - Chef Infra, a powerful automation platform that transforms infrastructure into code automating how infrastructure is configured, deployed and managed across any environment, at any scale
OpenSearch - 🔎 Open source distributed and RESTful search engine.
CFEngine - CFEngine Community
tracing - Application level tracing for Rust.