docker-lvmpy VS devops-exercises

Compare docker-lvmpy vs devops-exercises and see what are their differences.

docker-lvmpy

Easily manage LVM volumes from docker containers using this Docker plugin. Written in python. Under heavy development and use by SKALE network. Stay tuned for more docs! (by skalenetwork)

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions (by bregman-arie)
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docker-lvmpy devops-exercises
1 37
9 63,339
- -
7.2 7.3
7 months ago 12 days ago
Python Python
GNU Affero General Public License v3.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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-lvmpy

Posts with mentions or reviews of docker-lvmpy. We have used some of these posts to build our list of alternatives and similar projects.
  • Jack's message [March 13, 2021]
    1 project | /r/SKALEnetwork | 13 May 2021
    Nodes in the SKALE Network are not required to have a specific amount of disk storage. There is a minimum viable quantity required, but not a set amount for a node. Variance in storage can create instability during some network functions. A collective decision was made in the community to fix the problem with software not hardware. A node could have X amount of storage, but is required to have Y amount of storage. Any excess in X over Y is now not utilized. This creates a uniform storage capacity amongst all nodes (assuming minimums are met) while not requiring the validator community to change any hardware specs. All while increasing stability and performance of the network and SKALE Chains.... ie this was a big Win!! You can see the code implemented here: https://github.com/skalenetwork/docker-lvmpy

devops-exercises

Posts with mentions or reviews of devops-exercises. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-23.

What are some alternatives?

When comparing docker-lvmpy and devops-exercises you can also consider the following projects:

homelab - Modern self-hosting framework, fully automated from empty disk to operating services with a single command.

Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.

prom2teams - prom2teams is an HTTP server built with Python that receives alert notifications from a previously configured Prometheus Alertmanager instance and forwards it to Microsoft Teams using defined connectors

DevOps-The-Hard-Way-AWS - This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS

commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:

developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.

devops-resources - DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP

kapitan - Generic templated configuration management for Kubernetes, Terraform and other things

dalle-mini - DALL·E Mini - Generate images from a text prompt

DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.

pyspark-k8s-boilerplate - Boilerplate for PySpark on Cloud Kubernetes

PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)