clair
rook
clair | rook | |
---|---|---|
21 | 51 | |
10,052 | 11,949 | |
0.6% | 0.8% | |
9.2 | 9.9 | |
8 days ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | Apache 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.
clair
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I looked through attacks in my access logs. Here's what I found
Besides pointing pentester tools like metasploit at yourself, there are some nice scanners out there.
https://github.com/quay/clair
https://github.com/anchore/grype/
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General Docker Troubleshooting, Best Practices & Where to Go From Here
Clair. Vulnerability Static Analysis for Containers.
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Open source container scanning tool to find vulnerabilities and suggest best practice improvements?
https://github.com/quay/clair 9.4k stars, updated 17 hours ago
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Postgres: The Graph Database You Didn't Know You Had
It scaled well compared to a naive graph abstraction implemented outside the database, but when performance wasn't great, it REALLY wasn't great. We ended up throwing it out in later versions to try and get more consistent performance.
I've since worked on SpiceDB[1] which takes the traditional design approach for graph databases and simply treating Postgres as triple-store and that scales far better. IME, if you need a graph, you probably want to use a database optimized for graph access patterns. Most general-purpose graph databases are just bags of optimizations for common traversals.
[0]: https://github.com/quay/clair
[1]: https://github.com/authzed/spicedb
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Homelab vulnerability/virus scanner
Clair GitHub
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Implement DevSecOps to Secure your CI/CD pipeline
Open source: Trivy, Gryp and Clair are widely used open source tools for container scanning.
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Sublime Music - A FLOSS desktop client for Subsonic API servers (Airsonic, Navidrome, Gonic, etc)
Testing the image with github.com/fullhunt/log4j-scan and https://github.com/quay/clair shows no vulnerabilities
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Automatically tag your Docker images as vulnerable in ECR
Amazon Elastic Container Registry is a fully-managed Docker container registry. It makes it easy for developers to store and manage Docker images inside their AWS environment. ECR supports two types of image scanning. Enhanced image scanning requires an integration with Amazon Inspector. It will scan your repositories continuously. Basic image scanning will use the Common Vulnerabilities and Exposures (CVEs) database (open-source Clair) to find vulnerabilities in your images. You can trigger scans on image push or manually.
- Clair – Vulnerability Static Analysis for Containers
rook
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Ceph: A Journey to 1 TiB/s
I have some experience with Ceph, both for work, and with homelab-y stuff.
First, bear in mind that Ceph is a distributed storage system - so the idea is that you will have multiple nodes.
For learning, you can definitely virtualise it all on a single box - but you'll have a better time with discrete physical machines.
Also, Ceph does prefer physical access to disks (similar to ZFS).
And you do need decent networking connectivity - I think that's the main thing people think of, when they think of high hardware requirements for Ceph. Ideally 10Gbe at the minimum - although more if you want higher performance - there can be a lot of network traffic, particularly with things like backfill. (25Gbps if you can find that gear cheap for homelab - 50Gbps is a technological dead-end. 100Gbps works well).
But honestly, for a homelab, a cheap mini PC or NUC with 10Gbe will work fine, and you should get acceptable performance, and it'll be good for learning.
You can install Ceph directly on bare-metal, or if you want to do the homelab k8s route, you can use Rook (https://rook.io/).
Hope this helps, and good luck! Let me know if you have any other questions.
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Running stateful workloads on Kubernetes with Rook Ceph
Another option is to leverage a Kubernetes-native distributed storage solution such as Rook Ceph as the storage backend for stateful components running on Kubernetes. This has the benefit of simplifying application configuration while addressing business requirements for data backup and recovery such as the ability to take volume snapshots at a regular interval and perform application-level data recovery in case of a disaster.
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People who run Nextcloud in Docker: Where do you store your data/files? In a Docker volume, or on a remote server/NAS?
This is beyond your question but might help someone else: I switch from docker-compose to kubernetes for my home lab a while ago. The storage solution I've settled on is Rook. It was a bit of up-front work learning how to get it up but now that it's done my storage is automatically managed by Ceph. I can swap out drives and Ceph basically takes care of everything itself.
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Rook/Ceph with VM nodes on research cluster?
The stumbling point I am at is I want to use rook.io(Ceph) as my storage solution for the cluster. The Ceph prerequisites are one of the following:
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Asking for recommendation on remote Kubernetes storage for a small cluster and databases
Have you looked at Rook?
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Want advice on planned evolution: k3os/Longhorn --> Talos/Ceph, plus Consul and Vault
I've briefly run ceph in an external mode, you can actually use a rook deployment to manage it (sort of). Here is the documentation for doing that. For me it didn't pass my testing phase because I need better networking equipment before I can try that.
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ATARI is still alive: Atari Partition of Fear
This article explains the data corruption issue happened in Rook in 2021. The root cause lies in an unexpected place and can also occurs in all Ceph environment. It's interesting that Rook had started to encounter this problem recently even though this problem has existed for a long time. It's due to a series of coincidences. I wrote this article because the word "Atari" used in a non-historical context in 2021.
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How to Deploy and Scale Strapi on a Kubernetes Cluster 2/2
Rook (this is a nice article for Rook NFS)
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Running on-premise k8s with a small team: possible or potential nightmare?
Storage: Favor any distributed storage you know to start with for Persistent Volumes: Ceph maybe via rook.io, Longhorn if you go rancher etc
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My completely automated Homelab featuring Kubernetes
I've dealt with a lot of issues that are very close to just unplugging a node. Unfortunately on node lost, my stateful workloads using rook-ceph block storage won't migrate over to another node automatically due to an issue with rook. Stateless apps (ingress nginx, etc..) not using rook-ceph block failover to another node just fine. I've kind of accepted this for now and I know Longhorn has a feature that makes this work but I find rook-ceph to be more stable for my workloads.
What are some alternatives?
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
longhorn - Cloud-Native distributed storage built on and for Kubernetes
grype - A vulnerability scanner for container images and filesystems
ceph-csi - CSI driver for Ceph
syft - CLI tool and library for generating a Software Bill of Materials from container images and filesystems
velero - Backup and migrate Kubernetes applications and their persistent volumes
Harbor - An open source trusted cloud native registry project that stores, signs, and scans content.
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
dagda - a tool to perform static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in docker images/containers and to monitor the docker daemon and running docker containers for detecting anomalous activities
Ceph - Ceph is a distributed object, block, and file storage platform
kubescape - Kubescape is an open-source Kubernetes security platform for your IDE, CI/CD pipelines, and clusters. It includes risk analysis, security, compliance, and misconfiguration scanning, saving Kubernetes users and administrators precious time, effort, and resources.
hub-feedback - Feedback and bug reports for the Docker Hub