Pinned Repositories
apache-directory-studio
Package apache-directory-studio with Docker
cx_oracle
System packages required to install the Python module cx_Oracle
docker-devpi
dyntftpd
A simple, extendable Python implementation of a TFTP server
hooktftp
Hook based tftp server written in Go (golang)
links
natasha
Natasha is a fast, DPDK powered, stateless NAT44 packet processor
the-ultimate-ps-utility
snippets
Snippets to use Scaleway services
brmzkw's Repositories
brmzkw/docker-devpi
brmzkw/dyntftpd
A simple, extendable Python implementation of a TFTP server
brmzkw/apache-directory-studio
Package apache-directory-studio with Docker
brmzkw/links
brmzkw/grpc-simple
Basic example to understand gRPC
brmzkw/koyeb-distributed-app
brmzkw/miam
Recettes
brmzkw/plakar-ui
brmzkw/hooktftp
Hook based tftp server written in Go (golang)
brmzkw/natasha
Natasha is a fast, DPDK powered, stateless NAT44 packet processor
brmzkw/beta.gouv.fr
Le site public de l'Incubateur de Services Numériques de l'État
brmzkw/brmzkw.info
Content of niluje.fr, niluje.com and brmzkw.info
brmzkw/challenges
brmzkw/conf
brmzkw/console
brmzkw/dind
brmzkw/docs.plakar.io
brmzkw/homebrew-core
:beers: Core formulae for the Homebrew package manager
brmzkw/naseliga
brmzkw/nomad
Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
brmzkw/nomad-autoscaler
Nomad Autoscaler brings autoscaling to your Nomad workloads.
brmzkw/nomad-exercise
brmzkw/pgfs
fs on pg for the lolz
brmzkw/prometheus-remote-write
example how to use prometheus + remote_write
brmzkw/qovery-test
brmzkw/realworld-nestjs-medium-blog
Backend APIs for Medium Clone (Conduit, RealWorld) - NestJS, TypeORM - Hexagonal Architecture - RealWorld Spec compliant
brmzkw/requests
A simple, yet elegant HTTP library.
brmzkw/test-compose
brmzkw/test-koyeb
brmzkw/turicreate
Turi Create simplifies the development of custom machine learning models.