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Top 23 Python Azure Projects
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devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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prowler
Prowler is an Open Source Security tool for AWS, Azure, GCP and Kubernetes to do security assessments, audits, incident response, compliance, continuous monitoring, hardening and forensics readiness. Includes CIS, NIST 800, NIST CSF, CISA, FedRAMP, PCI-DSS, GDPR, HIPAA, FFIEC, SOC2, GXP, Well-Architected Security, ENS and more
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checkov
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
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cloud-custodian
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
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azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
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dstack
dstack is an open-source orchestration engine for running AI workloads at scale in any cloud or data center. https://discord.gg/u8SmfwPpMd
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Hunting-Queries-Detection-Rules
KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.
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optscale
FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.
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opta
The next generation of Infrastructure-as-Code. Work with high-level constructs instead of getting lost in low-level cloud configuration.
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microsoft-authentication-library-for-python
Microsoft Authentication Library (MSAL) for Python makes it easy to authenticate to Microsoft Entra ID. General docs are available here https://learn.microsoft.com/entra/msal/python/ Stable APIs are documented here https://msal-python.readthedocs.io. Questions can be asked on www.stackoverflow.com with tag "msal" + "python".
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zentral
Zentral is a high-visibility platform for controlling Apple endpoints in enterprises. It brings great observability to IT and makes tracking & reporting compliance much less manual.
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runhouse
Fast, Pythonic AI services and workflows on your own infra. Unobtrusive, debuggable, PyTorch-like APIs.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: My kernel dies when I fit my LightFm model from Microsoft Recommenders | /r/Jupyter | 2023-06-16
Project mention: Ask HN: Cloud security auditing for indie-grade projects? | news.ycombinator.com | 2023-12-04Which cloud provider?
https://github.com/prowler-cloud/prowler is easy to get going with, and gives decent results. It's much stronger at AWS than GCP or Azure.
Steampipe can be a little harder to wrap your head around, but scales really well and has broader support: https://hub.steampipe.io/mods?objectives=security
Project mention: A Deep Dive Into Terraform Static Code Analysis Tools: Features and Comparisons | dev.to | 2024-04-16Checkov Owner/Maintainer: Prisma Cloud by Palo Alto Networks (acquired in 2021) Age: First released on GitHub on March 31st, 2021 License: Apache License 2.0
Prowler and ScoutSuite are a good start for cloud stuff.
Hi all, Im not an expert at full-stack deployments and need help with a sample code from github to which I want to make changes. (Code: https://github.com/Azure-Samples/azure-search-openai-demo) If your suggestion works, I am willing to tip 15$ (please provide link). This Github code is used as frontend for our application. We pretty much want to keep it like it is but make one minor adjustment. If you chat with the model, it gives you citations: (Link). Then on the right side of the page a Analysis Bar opens and it shows the one page that this citation refers to. HERE: We need to show the WHOLE document for each citation instead of just one page. I think it has to do with an url or something that needs to be changed. Could you tell me the script names and changes (before and after) so I can overwrite it? Thanks a lot. Best
Project mention: Cutting down AWS cost by $150k per year simply by shutting things off | news.ycombinator.com | 2024-01-22> The best optimization is simply shutting things off
This is the way.
A similar idea has been bouncing around in my mind for a while now. An ideal, turnkey system would do the following:
- Execute via Lambda (serverless).
- Support automated startup and shutdown of various AWS resources on a schedule influenced by specially formatted tags.
- Enable resources to be brought back up out of schedule when demand dictates.
- Operate as a TCP/HTTP proxy that can delay clients so that a given service can be started when it is dormant or, even better, the service isn't serverless but you want it to be. This can't work for everything, but perhaps enough things such that the need to run always on services is reduced.
Cloud Custodian [1] can purportedly do some of this, but I've been reluctant to learn yet another YAML-based DSL to use it.
So this is my "make things designed to be always-on serverless instead" project and the work AWS has done to make Java apps function on Lambda keeps me thinking about the potential to take things that 1) have a relatively long startup time and 2) are designed to be long running service loops, and find a way to force them into the serverless execution model.
[1] https://cloudcustodian.io/
Project mention: How to do column projection (filtering) server-side with Azure Blob Storage (Python Client Library)? | /r/dataengineering | 2023-06-30
Project mention: Ask HN: How does deploying a fine-tuned model work | news.ycombinator.com | 2024-04-23You can use https://github.com/dstackai/dstack to deploy your model to the most affordable GPU clouds. It supports auto-scaling and other features.
Disclaimer: Iām the creator of dstack.
Project mention: Profile and instrument ML experiments and optimize their performance expenses | news.ycombinator.com | 2023-09-27
Python Azure related posts
- Runhouse
- Better GPU Cluster Scheduling with Runhouse
- Show HN: I Built an Open Source API with Insanely Fast Whisper and Fly GPUs
- Show HN: Dstack ā an open-source engine for running GPU workloads
- āØ Cursor.sh ā© - a competitor to GitHub CoPilot
- [P] I built a tool to compare cloud GPUs. How should I improve it?
- Dealing with large BloodHound datasets
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Azure projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | devops-exercises | 63,339 |
2 | recommenders | 17,942 |
3 | prowler | 9,547 |
4 | docker-android | 8,086 |
5 | metaflow | 7,586 |
6 | checkov | 6,512 |
7 | ScoutSuite | 6,159 |
8 | azure-search-openai-demo | 5,256 |
9 | cloud-custodian | 5,201 |
10 | azure-sdk-for-python | 4,265 |
11 | azure-cli | 3,851 |
12 | Azure-in-bullet-points | 1,221 |
13 | dstack | 1,087 |
14 | Hunting-Queries-Detection-Rules | 997 |
15 | kubestriker | 978 |
16 | optscale | 969 |
17 | skyplane | 968 |
18 | opta | 907 |
19 | microsoft-authentication-library-for-python | 733 |
20 | zentral | 720 |
21 | runhouse | 709 |
22 | azure-devops-cli-extension | 609 |
23 | azure-devops-python-api | 544 |
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