Technique for reusing unchanged layers when building or pulling container images, improving build and deployment speed.

Strategies for reducing the size and number of layers in container images, improving storage efficiency and pull times.

Metadata file describing the contents and configuration of a container image, crucial for image distribution and deployment.

Standardized format for container image manifests, supporting multi-architecture images and content-addressable layers.

Process of moving container images through different environments (e.g., dev, staging, production) in a controlled manner.

Process of downloading container images from a registry to a local environment or container runtime.

Process of uploading locally built container images to a remote registry for distribution and deployment.

Rules defining how long container images are kept in a registry, balancing storage costs with availability needs.

Automated process of analyzing container images for vulnerabilities, misconfigurations, and compliance issues.

Cryptographic process of digitally signing container images to ensure their integrity and authenticity during distribution.

End-to-end process of cryptographically signing container images and verifying their authenticity before deployment.

Technique of combining multiple layers of a container image into a single layer, potentially reducing image size and complexity.

Process of assigning human-readable labels to container images, facilitating version management and deployment workflows.

Automated security analysis of container images to identify known vulnerabilities in installed packages and dependencies.

Component in container runtimes responsible for managing image-related operations like pulling, pushing, and local storage.

Practice of replacing entire container instances instead of modifying existing ones, enhancing consistency and reliability.

Approach to deploying containerized applications by directly specifying the desired actions, as opposed to declarative methods.

Distributed data management systems optimized for high-performance data processing in containerized environments.

Technique for updating containerized applications or infrastructure components without full redeployment, minimizing downtime.

Built-in plugins in Kubernetes for various functionalities, as opposed to out-of-tree or external plugins.

Technique for optimizing container image distribution by allowing partial and on-demand loading of image layers.

Automated testing of infrastructure definitions, ensuring consistency and reliability in container deployments.

Kubernetes API object managing external access to services in a cluster, typically HTTP, providing load balancing and SSL termination.

Components implementing the Ingress resource in Kubernetes, managing the routing of external traffic to internal services.

Entry point for external traffic in service mesh architectures, providing routing, security, and observability for incoming requests.