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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.

GitHub Actions runners on your own machines, one fresh container or VM per job. Completely eliminate your cloud CI bill.

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.

drom is a wrapper over opam/dune in an attempt to provide a cargo-like user experience. It can be used to create full OCaml projects with sphinx and odoc documentation. It has specific knowledge of Github and will generate files for Github Actions CI and Github pages.

Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.

  • ruby
  • peer-reviews
  • rails-application
  • students

Know the risk of merging a pull request, and where it lives. Free, open-source CLI and GitHub Action: after your AI review, farol shows the riskiest files, what they reach, diff coverage and contract breaks. TypeScript/React, Go, Python.

Run performance tests in Kubernetes cluster with Kangal

  • kangal
  • open-source
  • wiz-foundations-release-engineering

High-performance configuration management framework for Go applications with zero-allocation performance, universal format support (JSON, YAML, TOML, HCL, INI, Properties), and an ultra-fast CLI powered by Orpheus.

IBM Cloud Paks are enterprise-grade containerized software by combining container images with enterprise capabilities for deployment in production use cases with integrations for management and lifecycle operations. Features such as pre-configured deployments based on product expertise, rolling upgrades, and management of production workloads.