#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