examples

Examples

• The postgres container image provides a preconfigured PostgreSQL database server for easy deployment in containerized environments.
• The MySQL container image provides a pre-configured and optimized environment for running the MySQL database service within a container.
• MariaDB is an open-source relational database management system (RDBMS) and a community-driven fork of MySQL, designed to be a drop-in replacement for MySQL with enhanced performance, stability, and security features, including support for advanced clustering, storage engines, and plugins.
• The Redis container image is a lightweight, open-source, and in-memory data structure store used as a cache, database, and message broker.
• The mongo container image provides a lightweight and scalable solution for running MongoDB databases in a containerized environment.
• The memcached container image provides an efficient in-memory caching system for key-value pairs.
• The influxdb container image provides a pre-configured instance of the InfluxDB database that can be easily deployed for time-series data storage and analysis.
• The RabbitMQ container image provides a scalable and highly-available message broker that supports various messaging protocols and can be easily deployed and managed in a containerized environment.
• The nats container image provides a lightweight messaging system for distributed applications running in containerized environments.
• The apachepulsar/pulsar container image provides a scalable and distributed messaging system for enterprise-grade applications.
• The nginx container image is a lightweight and high-performance web server designed to efficiently serve static and dynamic content.
• The httpd container image provides an Apache HTTP server for serving web content.
• Dynamo is a distributed key-value storage system developed by Amazon Web Services (AWS) for highly available, scalable and reliable NoSQL data storage.
• Timestream is a fully-managed, scalable time-series database service developed by Amazon Web Services (AWS) that enables users to store, process, and analyze time-series data, such as logs, sensor data, and industrial telemetry, with high precision and accuracy, and built-in analytics and visualization tools.