#hcl #action_runner #actions_runner #aws #cicd #github #github_actions #hacktoberfest #lambda #scalable #self_hosted #serverless #terraform
https://github.com/philips-labs/terraform-aws-github-runner
https://github.com/philips-labs/terraform-aws-github-runner
GitHub
GitHub - philips-labs/terraform-aws-github-runner: Terraform module for scalable GitHub action runners on AWS (MOVED)
Terraform module for scalable GitHub action runners on AWS (MOVED) - philips-labs/terraform-aws-github-runner
#javascript #api #automation #browser #grpc #http #lambda #load #playwright #serverless #stress #testing #typescript
https://github.com/artilleryio/artillery
https://github.com/artilleryio/artillery
GitHub
GitHub - artilleryio/artillery: The complete load testing platform. Everything you need for production-grade load tests. Serverless…
The complete load testing platform. Everything you need for production-grade load tests. Serverless & distributed. Load test with Playwright. Load test HTTP APIs, GraphQL, WebSocket, and mo...
#python #alb #api_gateway #aws #aws_lambda #bottle #django #flask #hacktoberfest #lambda #pyramid #serverless #serverless_framework #zappa
https://github.com/zappa/Zappa
https://github.com/zappa/Zappa
GitHub
GitHub - zappa/Zappa: Serverless Python
Serverless Python . Contribute to zappa/Zappa development by creating an account on GitHub.
👍1
#other #aws #azure #cloud #cloud_computing #cloud_providers #free_hosting #free_tier_offers #freebie #freebies #gcp #google_cloud #google_cloud_platform #hacktoberfest #ibm_cloud #oci #oracle #postgresql #serverless
https://github.com/cloudcommunity/Cloud-Free-Tier-Comparison
https://github.com/cloudcommunity/Cloud-Free-Tier-Comparison
GitHub
GitHub - cloudcommunity/Cloud-Free-Tier-Comparison: Comparing the free tier offers of the major cloud providers like AWS, Azure…
Comparing the free tier offers of the major cloud providers like AWS, Azure, GCP, Oracle etc. - cloudcommunity/Cloud-Free-Tier-Comparison
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#rust #component_model #distributed_systems #durable_computing #durable_execution #fault_tolerance #high_reliability #serverless #wasi #wasm #wasm_component
Golem is a tool that lets you run WebAssembly components in a cloud environment. You can start using Golem on your local machine with Docker containers. Once set up, you can use the `golem-cli` tool to add and run your own code components. This makes it easy to test and deploy your applications in a distributed cloud setting. The benefit is that you can develop and test your applications locally before deploying them to the cloud, making it simpler and faster to get your projects up and running.
https://github.com/golemcloud/golem
Golem is a tool that lets you run WebAssembly components in a cloud environment. You can start using Golem on your local machine with Docker containers. Once set up, you can use the `golem-cli` tool to add and run your own code components. This makes it easy to test and deploy your applications in a distributed cloud setting. The benefit is that you can develop and test your applications locally before deploying them to the cloud, making it simpler and faster to get your projects up and running.
https://github.com/golemcloud/golem
GitHub
GitHub - golemcloud/golem: Golem is an open source durable computing platform that makes it easy to build and deploy highly reliable…
Golem is an open source durable computing platform that makes it easy to build and deploy highly reliable distributed systems. - golemcloud/golem
#rust #containers #minimalist #open_source #oversubscription #rust #sandbox #serverless #virtual_machine #virtualization
Firecracker is a technology that helps run container and function workloads securely and efficiently. It uses lightweight virtual machines called microVMs, which combine the security of hardware virtualization with the speed of containers. This makes it faster to start up and more secure, as it reduces the attack surface area. Firecracker is open source and was developed by Amazon Web Services to improve services like AWS Lambda and AWS Fargate. Using Firecracker benefits users by providing a secure, fast, and efficient way to manage serverless workloads, making it ideal for multi-tenant environments.
https://github.com/firecracker-microvm/firecracker
Firecracker is a technology that helps run container and function workloads securely and efficiently. It uses lightweight virtual machines called microVMs, which combine the security of hardware virtualization with the speed of containers. This makes it faster to start up and more secure, as it reduces the attack surface area. Firecracker is open source and was developed by Amazon Web Services to improve services like AWS Lambda and AWS Fargate. Using Firecracker benefits users by providing a secure, fast, and efficient way to manage serverless workloads, making it ideal for multi-tenant environments.
https://github.com/firecracker-microvm/firecracker
GitHub
GitHub - firecracker-microvm/firecracker: Secure and fast microVMs for serverless computing.
Secure and fast microVMs for serverless computing. - firecracker-microvm/firecracker
#java #baas #clickhouse #crud #databricks #elasticsearch #hadoop #hive #influxdb #low_code #lowcode #milvus #nocode #oracle #postgresql #postgresql_database #serverless #snowflake #sqlserver #tdengine #tidb
APIJSON is a powerful tool that simplifies the development of APIs and reduces the workload for both front-end and back-end developers. Here are the key benefits APIJSON provides automatic generation of APIs and documentation, eliminating the need for manual coding of CRUD (Create, Read, Update, Delete) operations and documentation.
- **Customizable** It significantly reduces development and communication costs, simplifies the development process, and shortens the development cycle.
- **Compatibility** APIJSON automatically manages versions, controls permissions, and prevents SQL injection attacks.
- **Community Support**: It has a strong community with extensive documentation, video tutorials, and a large number of contributors and users from major companies like Tencent, Huawei, and Baidu.
Overall, APIJSON streamlines API development, making it faster, more efficient, and less prone to errors.
https://github.com/Tencent/APIJSON
APIJSON is a powerful tool that simplifies the development of APIs and reduces the workload for both front-end and back-end developers. Here are the key benefits APIJSON provides automatic generation of APIs and documentation, eliminating the need for manual coding of CRUD (Create, Read, Update, Delete) operations and documentation.
- **Customizable** It significantly reduces development and communication costs, simplifies the development process, and shortens the development cycle.
- **Compatibility** APIJSON automatically manages versions, controls permissions, and prevents SQL injection attacks.
- **Community Support**: It has a strong community with extensive documentation, video tutorials, and a large number of contributors and users from major companies like Tencent, Huawei, and Baidu.
Overall, APIJSON streamlines API development, making it faster, more efficient, and less prone to errors.
https://github.com/Tencent/APIJSON
GitHub
GitHub - Tencent/APIJSON: 🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码,前端(客户端) 定制返回 JSON 的数据和结构 🏆 Real-Time coding-free, powerful and secure…
🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码,前端(客户端) 定制返回 JSON 的数据和结构 🏆 Real-Time coding-free, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and the returned JSON of API can ...
#go #cloud_native #database #distributed_database #distributed_transactions #go #hacktoberfest #htap #mysql #mysql_compatibility #scale #serverless #sql #tidb
TiDB is an open-source database that combines transactional and analytical processing. It is compatible with MySQL, scalable, consistent, and highly available. This means you can handle a lot of data and queries efficiently without worrying about the database crashing. You can try it online through the TiDB Playground or start using it with a quick start guide. The community is active, so you can get help from forums, Discord, Slack, and Stack Overflow. This makes it easier to use and maintain, benefiting users by providing a reliable and powerful database solution.
https://github.com/pingcap/tidb
TiDB is an open-source database that combines transactional and analytical processing. It is compatible with MySQL, scalable, consistent, and highly available. This means you can handle a lot of data and queries efficiently without worrying about the database crashing. You can try it online through the TiDB Playground or start using it with a quick start guide. The community is active, so you can get help from forums, Discord, Slack, and Stack Overflow. This makes it easier to use and maintain, benefiting users by providing a reliable and powerful database solution.
https://github.com/pingcap/tidb
GitHub
GitHub - pingcap/tidb: TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications. - pingcap/tidb
#go #containers #event_driven #kubernetes #microservice #microservices #pubsub #serverless #sidecar #state_management
Dapr is a tool that helps developers build strong, scalable, and reliable microservices easily. It works with any programming language and framework, making it very flexible. Dapr adds a small side-car to your application that handles complex tasks like state management, messaging, and event triggers, so you don't have to worry about these details. This means you can focus on writing your code without getting bogged down in low-level details. Dapr also runs on various platforms, including cloud, edge devices, and local machines, making it very versatile. Overall, Dapr simplifies building distributed applications and makes them more consistent and portable.
https://github.com/dapr/dapr
Dapr is a tool that helps developers build strong, scalable, and reliable microservices easily. It works with any programming language and framework, making it very flexible. Dapr adds a small side-car to your application that handles complex tasks like state management, messaging, and event triggers, so you don't have to worry about these details. This means you can focus on writing your code without getting bogged down in low-level details. Dapr also runs on various platforms, including cloud, edge devices, and local machines, making it very versatile. Overall, Dapr simplifies building distributed applications and makes them more consistent and portable.
https://github.com/dapr/dapr
GitHub
GitHub - dapr/dapr: Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven…
Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration. - dapr/dapr
#typescript #agents #ai_agents #ai_agents_framework #anthropic_claude #aws #aws_bedrock #aws_cdk #aws_lambda #chatbot #framework #generative_ai #machine_learning #openai #openaiapi #orchestrator #python #serverless #typescript
The Multi-Agent Orchestrator is a powerful tool that helps manage multiple AI agents to handle complex conversations. It intelligently routes user queries to the most suitable agent based on context and content, ensuring coherent interactions. Here are the key benefits Automatically directs user queries to the right agent.
- **Context Management** Supports both streaming and non-streaming responses, and can run on various platforms including AWS Lambda and local environments.
- **Customization** Comes with ready-to-use agents and classifiers for quick deployment.
This makes it ideal for applications ranging from simple chatbots to sophisticated AI systems, providing efficient and scalable solutions.
https://github.com/awslabs/multi-agent-orchestrator
The Multi-Agent Orchestrator is a powerful tool that helps manage multiple AI agents to handle complex conversations. It intelligently routes user queries to the most suitable agent based on context and content, ensuring coherent interactions. Here are the key benefits Automatically directs user queries to the right agent.
- **Context Management** Supports both streaming and non-streaming responses, and can run on various platforms including AWS Lambda and local environments.
- **Customization** Comes with ready-to-use agents and classifiers for quick deployment.
This makes it ideal for applications ranging from simple chatbots to sophisticated AI systems, providing efficient and scalable solutions.
https://github.com/awslabs/multi-agent-orchestrator
GitHub
GitHub - awslabs/agent-squad: Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Flexible and powerful framework for managing multiple AI agents and handling complex conversations - awslabs/agent-squad
#typescript #chatbot #cot #graphrag #knowledge_graph #mysql #rag #serverless #vector_database
TiDB.AI is a free and open-source tool that helps you find information easily. It uses a Knowledge Graph built on top of TiDB Vector, LlamaIndex, and DSPy. You can use it to search for information in a conversational way, similar to talking to a person. It also allows you to edit the knowledge graph to make sure the information is accurate. You can even add a search widget to your website with just a few lines of code. This makes it easier for users to get quick answers to their questions, improving their overall experience.
https://github.com/pingcap/autoflow
TiDB.AI is a free and open-source tool that helps you find information easily. It uses a Knowledge Graph built on top of TiDB Vector, LlamaIndex, and DSPy. You can use it to search for information in a conversational way, similar to talking to a person. It also allows you to edit the knowledge graph to make sure the information is accurate. You can even add a search widget to your website with just a few lines of code. This makes it easier for users to get quick answers to their questions, improving their overall experience.
https://github.com/pingcap/autoflow
GitHub
GitHub - pingcap/autoflow: pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless…
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai - pingcap/autoflow
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#rust #actor #actors #bevy #cloudflare_durable_objects #deno #durable_objects #foundationdb #game_development #godot #multiplayer #partykit #realtime #rust #serverless #unreal_engine
Rivet helps you build and scale real-time applications easily. It has features like Remote Procedure Calls (RPC), automatic state management, and real-time event handling. Rivet actors can scale automatically to handle large numbers of users and reduce latency by running close to your users. It also includes built-in monitoring, supports data localization, and is powered by reliable technologies like Rust and FoundationDB. This makes it easier and more efficient to develop collaborative applications, game servers, chat apps, and more. You can get started quickly with their easy installation guides and various deployment options.
https://github.com/rivet-gg/rivet
Rivet helps you build and scale real-time applications easily. It has features like Remote Procedure Calls (RPC), automatic state management, and real-time event handling. Rivet actors can scale automatically to handle large numbers of users and reduce latency by running close to your users. It also includes built-in monitoring, supports data localization, and is powered by reliable technologies like Rust and FoundationDB. This makes it easier and more efficient to develop collaborative applications, game servers, chat apps, and more. You can get started quickly with their easy installation guides and various deployment options.
https://github.com/rivet-gg/rivet
GitHub
GitHub - rivet-dev/rivet: Rivet Actors: long-lived, in-memory processes. It's what you reach for when you hit the limitations of…
Rivet Actors: long-lived, in-memory processes. It's what you reach for when you hit the limitations of HTTP, databases, or queues. - rivet-dev/rivet
#hcl #ansible #aws #devops #gcp #kubernetes #packer #serverless #sre #terraform
You can watch a new video on YouTube by clicking the link provided. If you need help or support, you can get mentorship, on-the-job support, or consulting by emailing me@antonputra.com. There are also playlists available, such as Performance Benchmarks, and you can find more lessons in the contents section. You can follow on various social media platforms like YouTube, LinkedIn, Twitter/X, Instagram, or contact directly via email. This helps you learn new things, get support when needed, and stay connected with valuable resources.
https://github.com/antonputra/tutorials
You can watch a new video on YouTube by clicking the link provided. If you need help or support, you can get mentorship, on-the-job support, or consulting by emailing me@antonputra.com. There are also playlists available, such as Performance Benchmarks, and you can find more lessons in the contents section. You can follow on various social media platforms like YouTube, LinkedIn, Twitter/X, Instagram, or contact directly via email. This helps you learn new things, get support when needed, and stay connected with valuable resources.
https://github.com/antonputra/tutorials
GitHub
GitHub - antonputra/tutorials: DevOps Tutorials
DevOps Tutorials. Contribute to antonputra/tutorials development by creating an account on GitHub.
#lua #ai #ai_gateway #api_gateway #api_management #apis #artificial_intelligence #cloud_native #consul #devops #docker #kong #kubernetes #kubernetes_ingress #kubernetes_ingress_controller #luajit #microservice #microservices #nginx #reverse_proxy #serverless
Kong API Gateway is a powerful tool that helps manage and secure your APIs. It offers features like advanced routing, load balancing, health checking, and authentication, making it easier to handle API traffic. Kong is highly scalable and can run on various platforms, including Kubernetes. It also supports plugins for additional functionalities such as AI traffic management and custom extensions. By using Kong, you can centralize your API management, focus on other important tasks, and ensure your APIs are secure and perform well. You can get started quickly with a free trial or by following the easy installation steps.
https://github.com/Kong/kong
Kong API Gateway is a powerful tool that helps manage and secure your APIs. It offers features like advanced routing, load balancing, health checking, and authentication, making it easier to handle API traffic. Kong is highly scalable and can run on various platforms, including Kubernetes. It also supports plugins for additional functionalities such as AI traffic management and custom extensions. By using Kong, you can centralize your API management, focus on other important tasks, and ensure your APIs are secure and perform well. You can get started quickly with a free trial or by following the easy installation steps.
https://github.com/Kong/kong
GitHub
GitHub - Kong/kong: 🦍 The Cloud-Native Gateway for APIs & AI
🦍 The Cloud-Native Gateway for APIs & AI. Contribute to Kong/kong development by creating an account on GitHub.
#cplusplus #arduino #data_over_sound #ecc #fsk #internet_of_things #modem #pairing #python #qrcode #serverless #sound_library #ultrasound
**ggwave** is a small library that lets you send and receive data using sound. It works with devices like smartphones and microcontrollers, allowing them to communicate without needing the internet. This can be useful for sharing files or sending commands between devices in the same room. The library uses a special way of encoding data into sound waves, making it robust against background noise. Users can test it easily with apps like Waver on Android, iOS, or even in a web browser[1][3].
https://github.com/ggerganov/ggwave
**ggwave** is a small library that lets you send and receive data using sound. It works with devices like smartphones and microcontrollers, allowing them to communicate without needing the internet. This can be useful for sharing files or sending commands between devices in the same room. The library uses a special way of encoding data into sound waves, making it robust against background noise. Users can test it easily with apps like Waver on Android, iOS, or even in a web browser[1][3].
https://github.com/ggerganov/ggwave
GitHub
GitHub - ggerganov/ggwave: Tiny data-over-sound library
Tiny data-over-sound library. Contribute to ggerganov/ggwave development by creating an account on GitHub.
👏1
#java #ai #apache_kafka #aws #azure #cloud #cloud_first #cloud_native #ebs #gcp #kafka #llm #messaging #minio #s3 #serverless #spot #streaming
AutoMQ provides a cloud-native alternative to Apache Kafka that runs on S3 storage, cutting costs by up to 90% while enabling instant scaling and eliminating cross-zone traffic fees. It offers high reliability, serverless operation, and full Kafka compatibility, making it easier and cheaper to manage large-scale data streaming without sacrificing performance or features.
https://github.com/AutoMQ/automq
AutoMQ provides a cloud-native alternative to Apache Kafka that runs on S3 storage, cutting costs by up to 90% while enabling instant scaling and eliminating cross-zone traffic fees. It offers high reliability, serverless operation, and full Kafka compatibility, making it easier and cheaper to manage large-scale data streaming without sacrificing performance or features.
https://github.com/AutoMQ/automq
GitHub
GitHub - AutoMQ/automq: AutoMQ is a diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds.…
AutoMQ is a diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability. - AutoMQ/automq
#jupyter_notebook #a2a #agentic_ai #dapr #dapr_pub_sub #dapr_service_invocation #dapr_sidecar #dapr_workflow #docker #kafka #kubernetes #langmem #mcp #openai #openai_agents_sdk #openai_api #postgresql_database #rabbitmq #rancher_desktop #redis #serverless_containers
The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4].
https://github.com/panaversity/learn-agentic-ai
The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4].
https://github.com/panaversity/learn-agentic-ai
GitHub
GitHub - panaversity/learn-agentic-ai: Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native…
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kuberne...