Flowable (V6)
cadence
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| Flowable (V6) | cadence | |
|---|---|---|
| 1 | 6 | |
| 5,213 | 5,999 | |
| 3.4% | 2.7% | |
| 9.5 | 9.4 | |
| 7 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.
Flowable (V6)
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Do you use Model-Driven Engineering in your jobs?
I’m doing a lot of exploratory work with BPMN right now.
I think if your business is largely transactional (think Stripe), there is a lot of value to be had by framing your development as “business process automation”.
The term (and BPMN) has a lot of enterprise baggage, but some of the tools out there [0][1] are well suited to orchestrating services (and people where necessary) as a single automated process. The the ability to build that flow visually using BPMN, and then execute it in a workflow engine where you can monitor it, audit it, and optimize over time is pretty compelling.
Here’s an interesting read on the topic: https://www.infoq.com/articles/events-workflow-automation/
cadence
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Which schedule technology you would choose for a new project?
Dear community, I will be please to get your feedback to choose a schedule engine in 2022 in microservice context. On this field they are at least 2 challengers to me, ¹ nomad from hashicorp and ² cadence from uber. While kubernetes lead this field.
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Do you know of a robust library that handles persistent job scheduling and queuing using PostgreSQL
There's cadence which is made by Uber: https://cadenceworkflow.io/
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Distributed asynchronous tasks?
Used to work with Python and Celery, and this is the closest equivalent I can think of. https://cadenceworkflow.io/ However, it does require quite a bit more DevOps, in the sense that you need to stand up a Cadence Server.
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What do you use for background jobs?
In the Ruby world, sidekiq is a popular background job server. I can see that the same company makes faktory, which is written in Go. I'm also aware of Cadence and Temporal, which are both written in Go.
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Orchestration engine recommendations
Ubers Cadence (https://cadenceworkflow.io/) maybe a good fit for you
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For those running Go in production at scale, what do you use for distributed task queues?
We use cadence https://github.com/uber/cadence
What are some alternatives?
Camunda BPM - Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Spring, Spring Boot, CDI.
Activiti - Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.
temporal - Temporal service
jbpm - a Business Process Management (BPM) Suite
Micronaut - Micronaut Application Framework
Quarkus - Quarkus: Supersonic Subatomic Java.
bucket4j - Java rate limiting library based on token-bucket algorithm.
EventBus - Event bus for Android and Java that simplifies communication between Activities, Fragments, Threads, Services, etc. Less code, better quality.
zeebe - Distributed Workflow Engine for Microservices Orchestration
gocelery - Celery Distributed Task Queue in Go
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
Java Faker - Brings the popular ruby faker gem to Java