deckhouse
vector
deckhouse | vector | |
---|---|---|
9 | 96 | |
1,010 | 16,512 | |
1.6% | 1.5% | |
9.9 | 9.9 | |
1 day ago | 6 days ago | |
Go | Rust | |
GNU General Public License v3.0 or later | 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.
deckhouse
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K3s โ Lightweight Kubernetes
And while k3s sounds easy, it's not after even a slightly larger scale.
If one willing to have in-house k8s today I would recommend https://deckhouse.io/ (I'm not affiliated with them)
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What's your preferred tool for on-premise k8s installer?
Deckhouse
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Self-Managed Kubernetes Distributions
Check Deckhouse as well (https://github.com/deckhouse/deckhouse). Cilium integration was added there recently.
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FOSS News International #3: November 15-21, 2021
Release Deckhouse v1.26.0 ยท deckhouse/deckhouse (github.com)
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Which on-prem distribution to use?
Consider Deckhouse as another option that can be installed everywhere: bare metal, private and public clouds. It has an Open Source core offered in Community Edition, but the pricing for Enterprise Edition is also a fit for small companies. All configuration is made via Custom Resources, all routines (like updating Kubernetes versions and related system components) are automated.
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Does anybody need a Kubernetes Operator for auto renewing SSL certificates?
We use cert-manager in our K8s platform for years and it works perfectly. I don't think there is any chance today to compete with it in terms of community adoption. I also can't find any GitHub links for your project which is the most widely accepted way to become trusted by the community โ simply because it covers all the basic needs everyone got used to (in the Open Source world): we can see how the code is developed, we can contribute to it, discuss the issues and concerns we have, etc.
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Log shipper for Loki
We use Vector to ship logs to different storages (including Loki). You can even find the implementation here, however, I am not sure how useful it might be since it's quite specific (Golang hooks for addon-operator). Our manifests are available there as well.
- Deckhouse is a platform for managing Kubernetes clusters in a fully automatic and uniform fashion. It allows you to create homogeneous Kubernetes clusters anywhere and fully manages them. It supplies all necessary addons to provide observability, security, and service mesh.
- Deckhouse: NoOps Kubernetes platform
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?
kubernetes - Production-Grade Container Scheduling and Management
graylog - Free and open log management
kubespray - Deploy a Production Ready Kubernetes Cluster
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
k3s-on-prem-production - Playbooks needed to set up an on-premises K3s cluster and securize it
agent - Vendor-neutral programmable observability pipelines.
minikube - Run Kubernetes locally
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
OpenSearch - ๐ Open source distributed and RESTful search engine.
cert-manager - Automatically provision and manage TLS certificates in Kubernetes
tracing - Application level tracing for Rust.