Workspace is a single docker image with a number of applications and tools for specific task, such as Python development or Postgres management.
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General-purpose dockerized development environment. Fully isolated inside a docker container. Includes code editor, terminal, scheduler and filebrowser.
docker run --name space-1 -d -p 8020-8035:8020-8035 alnoda/workspace-in-docker
An alternative workspace to the workspace-in-docker but with Codeserver.
docker run --name space-1 -d -p 8020-8035:8020-8035 alnoda/codeserver-workspace
General purpose python development environment with a focus on linting, testing, auto-documentation, performance and profiling.
docker run --name space-1 -d -p 8020-8035:8020-8035 alnoda/python-workspace
Dockerized development environment for Ansible and Terraform. Workspace will help to create and manage infrastructures; visualize planned terraform changes; display ansible hosts plays; schedule and observe executions.
docker run --name space-1 -d -p 8020-8035:8020-8035 -p 9000:9000 alnoda/ansible-terraform-workspace
Great number of tools to manage PostgreSQL database, develop and schedule database scripts and applications. All in a single docker image.
docker run --name space-1 -d -p 8020-8035:8020-8035 alnoda/postgres-workspace
Docker image with Redis, Redis Commander and other Redis CLI tools. Can be used to manage cloud Redis deployments, or as Redis docker image with batteries included for local development.
docker run --name rwid-1 -d -p 8020-8035:8020-8035 alnoda/redis-workspace
Docker image with Kafka, and many tools to manage Kafka clustters in cloud, improve development experience or get started with Kafka fast.
docker run --name rwid-1 -d -p 8020-8035:8020-8035 alnoda/kafka-workspace
A tool to manage Elasticsearch/Opensearch clusters. Schedule backups of Elasticsearch indexes, migrate to other clusters, export and import Elasticsearch data to S3.
docker run --name elawid-1 -d -p 8020-8035:8020-8035 alnoda/elasticsearch-workspace
MkDocs-MagicSpace is an all-in-one tool, carefully crafted to make the development of gorgeous documentation websites like this one as easy as possible.
docker run --name space-1 -d -p 8020-8035:8020-8035 alnoda/mkdocs-magicspace
Docker as a "light-weight Virtual Machine". Get an isolated Ubuntu environment for development, testing or experimentation that requires less resources than VM.
docker run --name space-1 -d -p 8020-8030:8020-8030 alnoda/ubuntu-workspace
When used locally, workspaces help to isolate development environments and easily switch between projects. Workspaces can be moved between laptops, PCs, backed up and shared with friends.
When launched on remote server, workspaces can be used to schedule scripts and tasks, such as data ingestion.
When deployed on K8S, workspaces can be used to manage databases, create backups.
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