DevOps & Containers

Docker Desktop is collaborative containerization software for developers on desktop computers.

Docker Hub is a container image registry for developers to find, use, and share container images.

Docker provides containers and secure sandboxes for AI agents and application workloads.

Use Argo Workflows to programmatically define, schedule, and execute workflows on Kubernetes.

Analyze web server logs in real time with GoAccess, an interactive viewer for terminals or browsers.

Apache Airflow lets users author, schedule, and monitor workflows programmatically.

This GitHub Action retrieves a website’s agent readiness score and can fail a CI run below a chosen threshold.

envd creates reproducible setups for developing software with people and AI agents.

Kurtosis packages and launches blockchain infrastructure using a workflow compared to Docker Compose.

Docker containers can be viewed and controlled through oxker, a terminal interface.

Containers and Kubernetes can be managed with Podman Desktop, an open-source graphical tool.

Thanos provides a highly available Prometheus setup with long-term storage capabilities.

Docker containers can be managed from a self-hosted web interface with Isaiah.

Diun sends notifications when an image is updated on a Docker registry.

This Docker build script packages Deluge with Privoxy and OpenVPN on an Arch Linux base.

Trigger.dev helps developers build durable TypeScript tasks and AI agents with retries, queues, and observability.

Container logs from Docker, Swarm, and Kubernetes can be viewed live with Dozzle.

Docker image contents and layers can be explored with Dive, a command-line tool.

OCI containers and pods can be managed with Podman, an open-source container tool.

DockerDL provides a deep learning Docker image intended to simplify setup of a deep learning environment.

Unhealthy Docker containers can be monitored and restarted by Docker AutoHeal.

Argo provides a workflow engine for running and coordinating jobs on Kubernetes clusters.

Kueue schedules and manages queued workloads in Kubernetes clusters for resource management.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.