mirror of https://github.com/docker/docs.git
1.9 KiB
1.9 KiB
The categories include:
- API Management: Tools for creating, publishing, analyzing, and securing APIs.
- Content Management System: Software applications to create and manage digital content through templates, procedures, and standard formats.
- Data Science: Tools and software to support analyzing data and generating actionable insights.
- Databases & Storage: Systems for storing, retrieving, and managing data.
- Languages & Frameworks: Programming language runtimes and frameworks.
- Integrations & Delivery: Tools for Continuous Integration (CI) and Continuous Delivery (CD).
- Internet of Things: Tools supporting Internet of Things (IoT) applications.
- Machine Learning & AI: Tools and frameworks optimized for artificial intelligence and machine learning projects, such as pre-installed libraries and frameworks for data analysis, model training, and deployment.
- Message Queues: Message queuing systems optimized for reliable, scalable, and efficient message handling.
- Monitoring & Observability: Tools to track software and system performance through metrics, logs, and traces, as well as observability to explore the system’s state and diagnose issues.
- Networking: Repositories that support data exchange and connecting computers and other devices to share resources.
- Operating Systems: Software that manages all other programs on a computer and serves as an intermediary between users and the computer hardware, while overseeing applications and system resources.
- Security: Tools to protect a computer system or network from theft, unauthorized access, or damage to their hardware, software, or electronic data, as well as from service disruption.
- Web Servers: Software to serve web pages, HTML files, and other assets to users or other systems.
- Web Analytics: Tools to collect, measure, analyze, and report on web data and website visitor engagement.