sdk-java
serverless-graphql
sdk-java | serverless-graphql | |
---|---|---|
47 | 216 | |
193 | 2,708 | |
1.6% | 0.1% | |
8.6 | 0.0 | |
6 days ago | over 1 year ago | |
Java | JavaScript | |
Apache License 2.0 | MIT License |
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.
sdk-java
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Show HN: Hatchet – Open-source distributed task queue
How does this compare against Temporal/Cadence/Conductor? Does hatchet also support durable execution?
https://temporal.io/
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When "letting it crash" is not enough
Flawless sounds a lot like https://temporal.io/ .
I'm wondering if it has the same scalability concerns - sticking everything in Postgres is fine at small-ish scale, but what happens when you outgrow Postgres, either because you have higher availability requirements (can't handle primary DB restarts) or because of the sheer volume of the workload?
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How To Collect Temporal.io Logs Using Axiom And Pino
Temporal is a scalable and reliable runtime for durable Workflow Executions. It enables you to develop as if failures don't even exist. I started exploring it over the Christmas holiday and using it for a recently open-sourced project.
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Ask HN: How have you implemented human-in-the-loop workflows?
I have my eyes on https://temporal.io/ for similar purposes.
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Which queue System you prefer for ecommerce and PS
Check out temporal.io open source project for a much cleaner solution using Durable Execution abstraction.
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StackStorm – IFTTT for Ops
Interesting to see Netflix featured both on StackStorm & https://temporal.io/ frontpages.
- Open source durable execution platform
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Leveraging Temporal for resilient remote procedure calls (RPC)
Our stack at Escape is written in multiple languages because each team has specific needs. We use TypeScript for its vibrant ecosystem, Python for cybersecurity research and Go for performance-sensitive tasks. To orchestrate cross-language task orchestration, we first developed a simple request-response protocol over HTTP, but it wasn't sustainable as the Escape codebase grew rapidly. We evaluated several technologies to replace our homegrown protocol, and two emerged as the most promising options: Connect and Temporal. The title gives it away, but the reason is far from obvious
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Ask HN: In which areas have you compared 3+ tools and formed strong preferences?
I've put a lot of time into Airflow and feel similarly that it's a huge pain and a risk to rely on it. I've replaced it with Temporal (https://temporal.io/) and while I don't have the breadth of experience with the frameworks you listed, I do think Temporal is a great replacement for Airflow.
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Inngest raises $3M seed to build the reliable workflow platform for every dev
Just to confirm my understanding; would you consider at least part of your product offering to be similar to temporal.io [1]? Your examples are reminiscent of theirs.
[1] https://temporal.io/
serverless-graphql
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How to Deploy Dart Functions to AWS Lambda
In this article, we will use Serverless Framework and Docker Desktop to deploy Dart functions to AWS Lambda. If you haven't installed them yet, please complete the installation using the following commands or links.
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Testing AWS Lambda Functions (Serverless Framework) with OpenTelemetry and Tracetest
Since then, the ecosystem has changed. Using the Serverless Framework makes deployment simpler. We released the managed Tracetest App making any serverless-based systems simpler to instrument and test. You can now test public-facing apps with no infra overhead!
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The 2024 Web Hosting Report
We see some great results from using these in conjunction with frameworks such as SST or Serverless, and also some real spaghetti from people who organically proliferate 100’s of functions over time and lose track of how they relate to each other or how to update them safely across time and service. Buyer beware!
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Deploy app to AWS by using Serverless Framework
When we think about AWS serverless service, the first thing that comes to our mind is Lambda function. Yes, the quickest way to deploy this backend Express JS app to AWS is to deploy it as a Lambda function. The easiest way is using Serverless Framework.
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Lambda Scheduling & Event Filtering with EventBridge using Serverless Framework
Serverless Framework: https://www.serverless.com/
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The Top 10 GitHub Repositories Making Waves 🌊📊
Github | Website
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Instrumenting AWS Lambda functions with OpenTelemetry SDKs
In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints.
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A Beginner's Guide to the Serverless Application Model (SAM)
Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
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🥇 The Best Serverless Framework in 2023: A Data-Driven Showdown for AWS Projects
1 - Serverless + AWS CDK + Lift: An integration that amps up the traditional Serverless Framework with Lift's static frontend construct and CDK's robust infra definition.
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Serverless Semantic Search, Free tier only
It's a bit easier in Python if you use tools like https://www.serverless.com/. I'm not sure if Rust has something similar yet.
What are some alternatives?
sdk-python - Temporal Python SDK
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
trigger.dev - Trigger.dev is the open source background jobs platform for TypeScript.
Serverless-Boilerplate-Express-TypeScript - 🚀🎉📚 Boilerplate and Starter for Serverless framework, ExpressJS, TypeScript, Prisma and MongoDB ⚡️ Made with developer experience first: Serverless framework + Live reload + Offline support + ExpressJS + TypeScript + ESLint + Prettier + Husky + Commitlint + Lint-Staged + Jest + Dotenv + esbuild + VSCode
sdk-python - Python library for Modzy Machine Learning Operations (MLOps) Platform
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
windmill - Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
inngestgo - Golang SDK for Inngest
electrodb - A DynamoDB library to ease the use of modeling complex hierarchical relationships and implementing a Single Table Design while keeping your query code readable.
litestream - Streaming replication for SQLite.
chalice - Python Serverless Microframework for AWS