GitHub - psy0rz/zfs_autobackup: ZFS autobackup is used to periodicly backup ZFS filesystems to other locations. Easy to use and very reliable.
ZFS-autobackup tries to be the most reliable and easiest to use tool, while having all the features. You can either use it as a backup tool, replication tool or snapshot tool. You can select what to backup by setting a custom ZFS property. This makes it easy to add/remove specific datasets, or just backup your whole pool. Other settings are just specified on the commandline: Simply setup and test
Implementing Dstat with Performance Co-Pilot
Discover cloud technologiesLearn how to use our cloud products and solutions at your own pace in the Red Hat® Hybrid Cloud Console. Platformsartificial intelligence, Red Hat Enterprise Linux AI, Red Hat OpenShift AI, RHEL AI, machine learning38382025-03-12T19:43:40.963Zimage/svg+xmlRed Hat AI iconartificial intelligence, Red Hat Enterprise Linux AI, Red Hat OpenShift AI, RHEL AI, machine learningI
GitHub - gree/sysload
sysload is a measure of the amount of computational work that a Linux system performs. Designed as a substitute for load average. sysload evaluates the following three elements. The maximum value of each is 100. ALL CPU utilization disk I/O utilization CPU Utilization in which interrupt from NIC is occurring Among these values, the highest value is calculated as sysload. Therefore, for machines wi
pip を閉域環境で利用する - 日記
はじめに 今回は諸般の事情で pip というか、Python 環境を外部通信が不可能な環境で用意する必要が出てきたので、やり方を調べた時の備忘録です。 環境構築の流れ 作業順としては次のような流れです。 外部通信可能な環境で、pypi からパッケージを取得する 環境構築対象のサーバにモジュールをコピー pip install を実行する Python や pip 、virtualenv は、dpkg や rpm でがんばってインストールしてね☆ pypi からパッケージを取得からコピーまで 既に requirements.txt に必要なパッケージが書かれている状態で次のコマンドを実行します。 $ mkdir pip-cache $ pip download \ --only-binary=:all: \ --platform manylinux1_x86_64 \ --python-ve
GitHub - giampaolo/psutil: Cross-platform lib for process and system monitoring in Python
psutil (process and system utilities) is a cross-platform library for retrieving information about running processes and system utilization (CPU, memory, disks, network, sensors) in Python. It is useful mainly for system monitoring, profiling, limiting process resources, and managing running processes. It implements many functionalities offered by classic UNIX command line tools such as ps, top, f
GitHub - boto/boto: For the latest version of boto, see https://github.com/boto/boto3 -- Python interface to Amazon Web Services
At the moment, boto supports: Compute Amazon Elastic Compute Cloud (EC2) (Python 3) Amazon Elastic Map Reduce (EMR) (Python 3) AutoScaling (Python 3) Amazon Kinesis (Python 3) AWS Lambda (Python 3) Amazon EC2 Container Service (Python 3) Content Delivery Amazon CloudFront (Python 3) Database Amazon Relational Data Service (RDS) Amazon DynamoDB (Python 3) Amazon SimpleDB (Python 3) Amazon ElastiCac
Glances - An Eye on your system
An Eye on your system Glances is a cross-platform system monitoring tool written in Python. View on GitHub CPU Memory Load Process list Network interface Disk I/O IRQ / Raid Sensors Filesystem (and folders) Container (Docker and Podman supported) Monitor Alert System info Uptime Quicklook (CPU, MEM, LOAD) Cross-platform Written in Python, Glances will run on almost any plaftorm : GNU/Linux, FreeBS
3分でサーバオペレーションコマンドを作る技術
#pyconjp 2015 の LTで発表した際に利用した資料です https://pycon.jp/2015/ja/schedule/presentation/93/
GitHub - AlessandroZ/LaZagne: Credentials recovery project
The LaZagne project is an open source application used to retrieve lots of passwords stored on a local computer. Each software stores its passwords using different techniques (plaintext, APIs, custom algorithms, databases, etc.). This tool has been developed for the purpose of finding these passwords for the most commonly-used software. This project has been added to pupy as a post-exploitation mo
Logweeder
Homepage Logweeder is a log analyzer. It scans UN*X logs (syslog), categorizes common events, and discovers uncommon events automatically. In most UN*X systems, syslogs are recorded one event per line. Logweeder scans syslog outputs (e.g. /var/log/messages) and identify "uncommon" events. To detect uncommon entries, a program first learns "common" log patterns from existing log files. This is achi
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GitHub - scottchiefbaker/dool: Linux CLI tool providing real-time system resource monitoring
GitHub - jhunt/hatop: An Interactive ncurses Client for HAProxy
GitHub - trungdq88/logmine: A log pattern analyzer CLI
GitHub - hartwork/image-bootstrap: Creates Linux chroots and bootable virtual machine images; command line tool (Python 3)
GitHub - facebookarchive/StateService: StateService is a state-machine-as-a-service.
GitHub - facebookresearch/py2bpf: A python to bpf (Berkeley Packet Filter bytecode) converter
GitHub - facebookarchive/fbtftp: fbtftp is Facebook's implementation of a dynamic TFTP server framework.
http://dag.wiee.rs/home-made/dstat/
Client Challenge
running fabric script locally