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Go client for the Docker Engine API.
The main features of fsouza/go-dockerclient are: Infrastructure and Deployment, API Clients, API Clients And Plugins.
Projects with overlapping indexed features include: docker/docker-py — docker-py is a Python library and SDK that serves as a programmatic client for the Docker Engine API. It provides a… apocas/dockerode — Dockerode is a Node.js library that provides programmatic management of Docker containers, images, and volumes by… abians/docker-db-manager — A desktop application for managing Docker database containers. aliyuncontainerservice/log-pilot — Collect logs for docker containers. andreivmaksimov/aws-eks-spot-instances-serverless-framework-demo — This is Serverless framework code demo for article Serverless Framework - Run your Kubernetes Workloads on Amazon EC2… alexcasalboni/aws-lambda-power-tuning — This project is a performance optimizer and resource benchmarker for AWS Lambda. It analyzes the trade-off between…
docker-py is a Python library and SDK that serves as a programmatic client for the Docker Engine API. It provides a programmatic interface for controlling containers, images, and clusters, allowing for the automation of containerized applications and engine resources. The library enables remote Docker administration through various transport methods, including Unix domain sockets, TCP ports, and encrypted SSH tunnels. It handles real-time data links by using WebSockets to stream input and output from active containers. The project covers container lifecycle control, image management for buil
Dockerode is a Node.js library that provides programmatic management of Docker containers, images, and volumes by acting as a wrapper for the Docker Remote API. It enables JavaScript applications to interact with a Docker engine via Unix sockets or TCP network interfaces. The project covers container lifecycle management, including launching instances and executing commands with bidirectional input and output streaming. It also provides capabilities for building container images, pulling images from registries, and configuring virtual networks. Additional functionality includes the coordinat
A desktop application for managing Docker database containers
This project is a performance optimizer and resource benchmarker for AWS Lambda. It analyzes the trade-off between execution speed and cost by testing various memory configurations to identify the most cost-effective settings and minimize operational spending. The tool utilizes an AWS Step Functions orchestrator to automate the execution and data collection of multiple function test runs across different power levels. It simulates production workloads by injecting custom static or remote data and using weighted payload distribution to mimic real-world traffic patterns. The suite covers sever