Opt for lighter base images: Choose base images that are as lightweight as possible to avoid using excessively large ones.
Reduce the number of container layers: Try to consolidate multiple related services into one container to minimize the number of layers and resource consumption.
Adjust the resource limits of the container: appropriately adjust the resource limits of the container based on actual needs, including CPU, memory, and disk allocation.
Utilize caching: Utilize Docker’s build caching mechanism to avoid building the same image repeatedly and increase build speed.
By using multi-stage building, the final image size can be reduced and the container startup speed can be improved.
Use Docker networks wisely: avoid excessive use of Docker networks and set reasonable limits on network usage.
Using a mirror accelerator: using a domestic mirror accelerator can speed up the process of pulling images.
Avoid frequent container start-stop: Frequent container start-stop operations will increase resource consumption, try to minimize unnecessary container start-stop operations.
Utilize performance monitoring tools to monitor the performance of Docker containers, promptly identifying and resolving any performance issues.
Choose a storage driver that meets your needs, such as using the overlay2 driver to improve disk performance.
