#python #amazon #ansible #aws #book #devops #docker #examples #jeff_geerling #kindle #kubernetes #leanpub #playbook #vagrant
https://github.com/geerlingguy/ansible-for-devops
https://github.com/geerlingguy/ansible-for-devops
GitHub
GitHub - geerlingguy/ansible-for-devops: Ansible for DevOps examples.
Ansible for DevOps examples. Contribute to geerlingguy/ansible-for-devops development by creating an account on GitHub.
#other #amazon_s3 #angular #aws #aws_amplify #aws_appsync #javascript #react #react_native
https://github.com/dabit3/awesome-aws-amplify
https://github.com/dabit3/awesome-aws-amplify
GitHub
GitHub - dabit3/awesome-aws-amplify: Curated list of AWS Amplify Resources
Curated list of AWS Amplify Resources. Contribute to dabit3/awesome-aws-amplify development by creating an account on GitHub.
#other #microsoft #services #list #google #awesome #privacy #facebook #amazon #messaging #apps #curated #awesome_list #alternatives
https://github.com/pluja/awesome-privacy
https://github.com/pluja/awesome-privacy
GitHub
GitHub - pluja/awesome-privacy: Awesome Privacy - A curated list of services and alternatives that respect your privacy because…
Awesome Privacy - A curated list of services and alternatives that respect your privacy because PRIVACY MATTERS. - pluja/awesome-privacy
#python #amazon_bypass #attack #auto_proxy #bypass #cloudflare #cloudflare_bypass #ddos #ddos_attack_script #ddos_attack_tools #ddos_attacks #ddos_script #ddos_tool #ddosguard_bypass #dns #flood #hacking_tool #layer4 #layer7_ #ovh_bypass
https://github.com/MHProDev/MHDDoS
https://github.com/MHProDev/MHDDoS
GitHub
GitHub - MatrixTM/MHDDoS: Best DDoS Attack Script Python3, (Cyber / DDos) Attack With 56 Methods
Best DDoS Attack Script Python3, (Cyber / DDos) Attack With 56 Methods - MatrixTM/MHDDoS
#other #amazon #amazon_web_services #aws #azure #cloud #cloud_computing #cloudcomputing #cloudservices #gcp #google #google_cloud_platform #microsoft #microsoft_azure #microsoft_azure_cloud #roadmap #serverless
https://github.com/milanm/Cloud-Product-Mapping
https://github.com/milanm/Cloud-Product-Mapping
GitHub
GitHub - milanm/Cloud-Product-Mapping: All major services between AWS, Azure, and GCP are mapped with links pointing to product…
All major services between AWS, Azure, and GCP are mapped with links pointing to product home pages. - GitHub - milanm/Cloud-Product-Mapping: All major services between AWS, Azure, and GCP are map...
#html #amazon_web_services #aws #aws_certified_cloud_practitioner #aws_cloud_practitioner #certification #clf_c01 #clf_c02 #cloud #cloud_practitioner #devops #practice_exams
https://github.com/kananinirav/AWS-Certified-Cloud-Practitioner-Notes
https://github.com/kananinirav/AWS-Certified-Cloud-Practitioner-Notes
GitHub
GitHub - kananinirav/AWS-Certified-Cloud-Practitioner-Notes: AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF…
AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02) - kananinirav/AWS-Certified-Cloud-Practitioner-Notes
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#python #ai #alexa #amazon_echo #anyq #asr #bci #chatgpt #google_home #gpt3 #homeassistant #muse #openai #raspeberry_pi #snowboy #speaker #tts #unit
wukong-robot is a simple, flexible, and elegant Chinese voice dialogue robot/smart speaker project. It allows makers and hackers in China to quickly create personalized smart speakers. Here are the key benefits You can customize and develop your own plugins for speech recognition, synthesis, and dialogue management.
- **Chinese Support** It supports integration with smart home protocols like Siri, 小爱音箱, and HomeAssistant, allowing voice control of smart devices.
- **Easy Installation** You can customize the robot's name, choose different speech recognition and synthesis plugins, and even use brain-computer interface (BCI) for wake-up.
- **Open API**: It provides an open API for more advanced functionalities.
Overall, wukong-robot offers a highly customizable and flexible solution for creating smart speakers, making it a great choice for those who want to personalize their smart home experience.
https://github.com/wzpan/wukong-robot
wukong-robot is a simple, flexible, and elegant Chinese voice dialogue robot/smart speaker project. It allows makers and hackers in China to quickly create personalized smart speakers. Here are the key benefits You can customize and develop your own plugins for speech recognition, synthesis, and dialogue management.
- **Chinese Support** It supports integration with smart home protocols like Siri, 小爱音箱, and HomeAssistant, allowing voice control of smart devices.
- **Easy Installation** You can customize the robot's name, choose different speech recognition and synthesis plugins, and even use brain-computer interface (BCI) for wake-up.
- **Open API**: It provides an open API for more advanced functionalities.
Overall, wukong-robot offers a highly customizable and flexible solution for creating smart speakers, making it a great choice for those who want to personalize their smart home experience.
https://github.com/wzpan/wukong-robot
GitHub
GitHub - wzpan/wukong-robot: 🤖 wukong-robot 是一个简单、灵活、优雅的中文语音对话机器人/智能音箱项目,支持ChatGPT多轮对话能力,还可能是首个支持脑机交互的开源智能音箱项目。
🤖 wukong-robot 是一个简单、灵活、优雅的中文语音对话机器人/智能音箱项目,支持ChatGPT多轮对话能力,还可能是首个支持脑机交互的开源智能音箱项目。 - wzpan/wukong-robot
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#jupyter_notebook #amazon_bedrock #amazon_titan #bedrock #embeddings #generative_ai #knowledge_base #langchain #rag
This repository provides pre-built examples to help you get started with Amazon Bedrock, a service for working with generative AI. You can learn the basics of Bedrock, how to craft effective prompts, implement AI agents, import custom models, and more. It also includes guides on responsible AI use, productionizing workloads, and improving model observability. To use these examples, ensure you have the necessary AWS IAM permissions and follow the detailed instructions in each folder. This resource helps you quickly and effectively use Amazon Bedrock for various AI tasks, making it easier to integrate generative AI into your projects.
https://github.com/aws-samples/amazon-bedrock-samples
This repository provides pre-built examples to help you get started with Amazon Bedrock, a service for working with generative AI. You can learn the basics of Bedrock, how to craft effective prompts, implement AI agents, import custom models, and more. It also includes guides on responsible AI use, productionizing workloads, and improving model observability. To use these examples, ensure you have the necessary AWS IAM permissions and follow the detailed instructions in each folder. This resource helps you quickly and effectively use Amazon Bedrock for various AI tasks, making it easier to integrate generative AI into your projects.
https://github.com/aws-samples/amazon-bedrock-samples
GitHub
GitHub - aws-samples/amazon-bedrock-samples: This repository contains examples for customers to get started using the Amazon Bedrock…
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models - aws-samples/amazon-bedrock-samples
#go #amazon_s3 #cloud #cloudnative #cloudstorage #go #k8s #kubernetes #multi_cloud #multi_cloud_kubernetes #objectstorage #s3 #storage
MinIO is a fast and scalable object storage system that works like Amazon S3. It's great for storing large amounts of data, especially for machine learning and analytics projects. MinIO is easy to use, runs on many platforms, and supports Kubernetes for easy management. It also provides strong data protection with features like erasure coding and encryption. This makes MinIO a good choice for businesses that need reliable and efficient data storage solutions.
https://github.com/minio/minio
MinIO is a fast and scalable object storage system that works like Amazon S3. It's great for storing large amounts of data, especially for machine learning and analytics projects. MinIO is easy to use, runs on many platforms, and supports Kubernetes for easy management. It also provides strong data protection with features like erasure coding and encryption. This makes MinIO a good choice for businesses that need reliable and efficient data storage solutions.
https://github.com/minio/minio
GitHub
GitHub - minio/minio: MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.
MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license. - minio/minio
#java #amazon #aws #aws_sdk #hacktoberfest #java
The AWS SDK for Java 2.0 is a major upgrade offering non-blocking I/O for faster performance, customizable HTTP implementations, and easier integration with AWS services like S3 and DynamoDB through Maven, helping developers build scalable applications efficiently.
https://github.com/aws/aws-sdk-java-v2
The AWS SDK for Java 2.0 is a major upgrade offering non-blocking I/O for faster performance, customizable HTTP implementations, and easier integration with AWS services like S3 and DynamoDB through Maven, helping developers build scalable applications efficiently.
https://github.com/aws/aws-sdk-java-v2
GitHub
GitHub - aws/aws-sdk-java-v2: The official AWS SDK for Java - Version 2
The official AWS SDK for Java - Version 2. Contribute to aws/aws-sdk-java-v2 development by creating an account on GitHub.
#rust #agent #ai #amazon_q #cli #linux #llm #macos #mcp #open_source #productivity #rust #shell #terminal #typescript
Amazon Q CLI is a powerful tool that lets you interact with AWS and your development environment using natural language right from your terminal. It helps you write code, run commands, and manage AWS resources faster by understanding your context and providing smart suggestions, autocompletion, and even translating plain English into shell commands. It supports multi-turn conversations, so you can ask follow-up questions and get real-time help without leaving the command line. This boosts your productivity by simplifying complex tasks, reducing errors, and speeding up development workflows, making it easier to manage projects and infrastructure efficiently[1][2][3].
https://github.com/aws/amazon-q-developer-cli
Amazon Q CLI is a powerful tool that lets you interact with AWS and your development environment using natural language right from your terminal. It helps you write code, run commands, and manage AWS resources faster by understanding your context and providing smart suggestions, autocompletion, and even translating plain English into shell commands. It supports multi-turn conversations, so you can ask follow-up questions and get real-time help without leaving the command line. This boosts your productivity by simplifying complex tasks, reducing errors, and speeding up development workflows, making it easier to manage projects and infrastructure efficiently[1][2][3].
https://github.com/aws/amazon-q-developer-cli
GitHub
GitHub - aws/amazon-q-developer-cli: ✨ Agentic chat experience in your terminal. Build applications using natural language.
✨ Agentic chat experience in your terminal. Build applications using natural language. - aws/amazon-q-developer-cli