A collection of higher-level reusable cdk constructs
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Dynamic DynamoDB provides auto scaling for AWS DynamoDB
Upload files directly to AWS S3, Google Cloud Storage and others in meteor
Go application GitHub repository template.
- golang
- go
- golangci-lint
- vscode
Write your pipelines in C# !
- build
- build-system
- build-tool
- build-tools
Deployment tool for Phoenix apps
Warden is a CLI utility for orchestrating Docker based developer environments
Powerful open-source CLI to audit security, costs, and best practices in AWS. 🩺 ☁️
- aws
- aws-billing
- aws-cli
- aws-cost-explorer
Easy command line access to Amazon EC2, S3, SQS, ELB, and SDB
Tools and Documentation about using Auto Scaling
mkdkr = Makefile + Docker
Easy, powerful, and extendable configuration tooling for releases.
- elixir
- configuration
- configuration-management
setup and manage continuous delivery pipelines for code libraries in multiple languages
Plan and apply Terraform/OpenTofu via PR automation, using best practices for secure and scalable IaC workflows.
Python installable command line utiltity for mitigation of host and key compromises.
Transcode media files in an epic manner
- transcoding
- ffmpeg
- distributed
The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups – up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.
The CLI for working with JSON Schema. Covers formatting, linting, testing, bundling, and more for both local development and CI/CD pipelines
- json
- json-schema
- jsonschema
- openapi
Visually build and edit family trees online. Genea is a completely serverless solution for consuming and authoring GEDCOM genealogy data.
- genea
- family-tree
- gedcom
- genealogy
40K, small memory footprint, single binary that run list of commands in parallel and waits for their termination
Visualize your multi-stage Dockerfiles
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Easy way to deploy your git repo to an AWS S3 bucket
Latest Nginx with LUA support based on AlmaLinux, Alpine Linux, Amazon Linux, Debian, Fedora, and Ubuntu.