sdk-java
Asynq
sdk-java | Asynq | |
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47 | 32 | |
193 | 8,648 | |
1.6% | - | |
8.6 | 7.0 | |
6 days ago | 7 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
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Show HN: Hatchet ā 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 ā 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/
Asynq
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Looking for a language agnostic Go task queue with Redis
EDIT : I think the best for my case will be to use the asynq library with a custom js client, it's quite easy to implement (Detailed here)
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I have a web app that requires allowing users to schedule a recurring task at their own specified time/interval. How would you go about it?
Asynq does this pretty nicely https://github.com/hibiken/asynq/wiki/Periodic-Tasks
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Examples of using task scheduler with Go?
Asynq looks promising. Never used it myself. https://github.com/hibiken/asynq
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Recommendation for a selfhosted worker/task queue runner?
Never used it, but it appears to fit most of the criteria. https://github.com/hibiken/asynq
- How to run periodic tasks?
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What would you rewrite in Golang?
https://github.com/hibiken/asynq is pretty close
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Suggestions for CRON jobs queue tool
I tried it 2 months ago and it was not suitable for dynamic CRON job enqueue scheduling
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Iām looking for a suggestion for a queuing library
My current best option is AsynQ (https://github.com/hibiken/asynq but it uses redid and not Postgres for the db
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What is the best task queue?
Hi, I'm starting a new project that involves distributing task on different (and possibly distributed) workers in Golang. So I'm looking for the best task queue library to use; for now the ones I like are the following (in no particular order): - asynq - machinery - taskq
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Distributed queue(redis) go
Asynq might do what you need https://github.com/hibiken/asynq
What are some alternatives?
sdk-python - Temporal Python SDK
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
trigger.dev - Trigger.dev is the open source background jobs platform for TypeScript.
work - Process background jobs in Go
sdk-python - Python library for Modzy Machine Learning Operations (MLOps) Platform
Faktory - Language-agnostic persistent background job server
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.
NATS - Golang client for NATS, the cloud native messaging system.
inngestgo - Golang SDK for Inngest
temporal - Temporal service
litestream - Streaming replication for SQLite.
nsq - A realtime distributed messaging platform