gonb
Juju
gonb | Juju | |
---|---|---|
5 | 14 | |
430 | 2,307 | |
- | 0.9% | |
9.3 | 9.9 | |
18 days ago | 4 days ago | |
Go | Go | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gonb
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Go, Python, Rust, and production AI applications
I've had these strong feelings and the OP describes it really well. Despite being a polyglot programmer, I really struggle with Python, both in expression and performance (unless it's just config for GPUs).
Some of this frustration was recently an "Unpopular Opinion" on the Go Time Podcast regarding Python being great for "data exploration" but not for "data engineering": https://changelog.com/gotime/304#t=3196
I've been yearning for better interactive tooling and ML-related libraries bridge this gap and started using some even in just the last week:
* GoNB (Golang-support for Jupyter notebooks, also from a Googler) https://github.com/janpfeifer/gonb
* That uses Go-Plotly for graphs/UI: https://github.com/MetalBlueberry/go-plotly
* GoMLX (GoNB author is also on that project, many thanks Jan!) https://github.com/gomlx/gomlx
* Hidden at the end of OP is LangChainGo for LLMs, which I haven't used yet: https://github.com/tmc/langchaingo
Pick those up and let's make the Go community stronger together!
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The Golang Saga: A Coder’s Journey There and Back Again. Part 2: The Data Expedition
When I created a new Jupyter file in Go, I faced a challenge trying to replicate the development process I usually follow with Python. In Python and Jupyter Notebook I can conveniently run code in separate parts, saving previous values in memory and using cells to organize code. This flexibility was missing in Go, and it took me some time to figure out a solution. However, I came across a helpful tutorial that explained how to use caching with the Go Kernel, making the process smoother with gonb.
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The Golang Saga: A Coder’s Journey There and Back Again. Part 1: Leaving the Shire
I needed one more thing to make myself feel at home, something I usually use with Python. When working with data, I often turned to the Jupyter VSCode extension for its convenience. To my relief, I discovered that a Go kernel existed, tailored perfectly for my needs.
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GoMLX -- Accelerated ML for Go
Training library, with some pretty-printing. Including plots for GoNB Jupyter notebook.
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GoNB, a new Jupyter Notebook Kernel for Go
Tutorial (and demo) here. Source code in github.com/janpfeifer/gonb.
Juju
- Microsoft earnings are out – here are the numbers
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What is Maas and Juju And Why Using this? Explain easy concept?
Basically juju is used to deploy microservices, and other stuff too: https://juju.is/
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2023 Development Tool Map
Juju https://juju.is/
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Ask HN: A Better Docker Compose?
https://juju.is/
Each app is packaged in a charm which seems to be a yaml declaring inputs, dependencies and other meta data and optional python code that can respond to certain lifecycle hooks
https://discourse.charmhub.io/t/implementing-relations/1051
name: my-node-app
- Is docker designed to run thousands of containers ?
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NAT for Metal-as-a-Service (MAAS) GPU-Cloud
I am currently working myself through setting up our new Research GPU-Cluster where we have "sort of" managed to deploy MAAS to manage all the servers more efficiently, and on top of MAAS then use Juju to deploy the further components of the cluster. The components here are
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A Case for Databases on Kubernetes from a Former Skeptic
Kubernetes Custom Resources were created to allow the Kubernetes API to be extended for domain-specific logic, by defining new resource types and controllers. OSS frameworks like operator-sdk, kubebuilder and juju were created to simplify the creation of custom resources and their controllers. Tools built with these frameworks came to be known as Operators.
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Deploying Ubuntu
Depending on what you're trying to accomplish, Juju and MAAS, if not just automate with preseed for custom desktops.
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What type of software do you write at your workplace?
At Canonical I work on two open-source projects written in Go: Juju, a large cloud-based application deployment tool, and Pebble, a small Linux service manager. Both include CLI clients and API-based server daemons. Juju in particular is a large distributed system.
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Portainer and Canonical Expand Partnership Launching Business Charm for Charmed Kubernetes
The new Portainer charm allows users of Canonical’s Charmed Kubernetes distribution to automatically install and integrate Portainer Business as part of the Kubernetes cluster deployment process, using Juju, the Charmed Operator framework.
What are some alternatives?
fleet
kubernetes - Production-Grade Container Scheduling and Management
Docker - Notary is a project that allows anyone to have trust over arbitrary collections of data
myLG - Network Diagnostic Tool
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
ipe - An open source Pusher server implementation compatible with Pusher client libraries written in GO
toxiproxy - :alarm_clock: :fire: A TCP proxy to simulate network and system conditions for chaos and resiliency testing
Hugo - The world’s fastest framework for building websites.
SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
gomlx - GoMLX -- Accelerated ML Libraries for Go
snap - The open telemetry framework