sdk-java
watermill
sdk-java | watermill | |
---|---|---|
47 | 23 | |
193 | 6,777 | |
1.6% | 1.9% | |
8.6 | 7.1 | |
6 days ago | 6 days ago | |
Java | Go | |
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
-
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/
-
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?
-
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.
-
Ask HN: How have you implemented human-in-the-loop workflows?
I have my eyes on https://temporal.io/ for similar purposes.
-
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.
-
StackStorm – IFTTT for Ops
Interesting to see Netflix featured both on StackStorm & https://temporal.io/ frontpages.
- Open source durable execution platform
-
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
-
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.
-
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/
watermill
-
Microservices communication
I’ve successfully worked on projects using an asynchronous event-driven way of connecting services. I really like the decoupling of business logic and the events triggering it. I highly recommend https://github.com/ThreeDotsLabs/watermill to be more flexible when it comes to choosing the actual technology driving the async patter. It might be NATS today but requirements might change and you need to change. Watermill prepares you for this.
-
Public chatroom websocket project in Go
Highly recommend https://watermill.io lib for building async apps (using among others pub/sub patterns). It greatly decouples your code from the underlying technology and gives you the freedom to choose depending on the environment (e.g dev, prod). For dev or small scale purposes, it supports pub/sub purely based on go channels.
-
How did you solve the problem of transactions between different databases and services?
Look at this library: https://github.com/ThreeDotsLabs/watermill
-
Examples of using task scheduler with Go?
Watermill is a good pubsub abstraction. You can start with native go channels and grow into a cloud pubsub or Kafka/Pulsar if you need to.
-
Small EDA/Micro service Project
These conditions have led me to discover two packages watermill.io and go-kit. Both of these seem to do what I want and I am thinking of implementing the project using watermill and go Chanels and deploying to a server or some sort.
-
Event Observer Pattern in Go
github.com/ThreeDotsLabs/watermill package provides a framework for building event-driven applications. It allows easy communication between independent components by decoupling the sender and the receiver.
-
I've just started learning Golang, and I'm struggling to choose a framework.
My personal favorite tools: - https://github.com/go-kit/ for building services (although it's not necessary a great tool for prototyping) - https://github.com/gorilla/mux router (although it's been recently deprecated, so I'm looking for a similar, maintained library) - https://entgo.io/ ORM - https://watermill.io/ for messaging
- How to handle events: an interactive example of consumer groups
- I’m looking for a suggestion for a queuing library
-
Looking for a mature distributed task queuer/scheduler in go
Checkout https://watermill.io/
What are some alternatives?
sdk-python - Temporal Python SDK
eventhorizon - Event Sourcing for Go!
trigger.dev - Trigger.dev is the open source background jobs platform for TypeScript.
go-kit - A standard library for microservices.
sdk-python - Python library for Modzy Machine Learning Operations (MLOps) Platform
Benthos - Fancy stream processing made operationally mundane
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.
pulse - ☁EventBus on Portable Pub/Sub Components☄
inngestgo - Golang SDK for Inngest
wild-workouts-go-ddd-example - Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
litestream - Streaming replication for SQLite.
go-rabbitmq - A wrapper of streadway/amqp that provides reconnection logic and sane defaults