zeebe
kestra
Our great sponsors
zeebe | kestra | |
---|---|---|
6 | 32 | |
3,030 | 6,340 | |
1.7% | 13.6% | |
10.0 | 9.9 | |
9 minutes ago | about 19 hours ago | |
Java | Java | |
- | Apache License 2.0 |
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.
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zeebe
- Is there a product that can orchestrate running jobs?
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Moving Config Docs From YAML to Markdown
You can Ctrl + F (or Command + F) your way through the file, but you have to know what you are looking for.
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Camunda's Hacktoberfest 2022
Zeebe
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Back-end for sending out emails after a certain delay
For this purpose, it's the equivalent of using a sledge hammer to crack a walnut, but I think something like Zeebe could facilitate that
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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/
[0] https://github.com/camunda-cloud/zeebe
[1] https://github.com/flowable/flowable-engine
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The Reactive Monolith – How to Move from CRUD to Event Sourcing
(I have no idea whether ES is used in temporal though… never looked at the code)
[1] https://github.com/camunda-cloud/zeebe
[2] https://temporal.io/
kestra
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A High-Performance, Java-Based Orchestration Platform
Kestra's communication is asynchronous and based on a queuing mechanism. It leverages the Micronaut framework and offers two runners: one that uses a database (JDBC) for both the message queue and resource storage, and another that uses Kafka as the message queue and Elasticsearch as the resource storage. The platform is fully extensible and plugin-based, providing a rich set of plugins for various workflow tasks, triggers, and data storage options. For those interested, the GitHub repository is available here: https://github.com/kestra-io/kestra
- Kestra is an open-source data orchestration platform for complex workflows
- YAML-based data orchestrator
- Kestra
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Introduction to Kestra, the open source data orchestration and scheduling platform
For everyone wondering https://github.com/kestra-io/kestra/discussions/468
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Snowflake data pipeline with Kestra
If you need any guidance with your Snowflake deployment, our experts at Kestra would love to hear from you. Let us know if you would like us to add more plugins to the list. Or start building your custom Kestra plugin today and send it our way. We always welcome contributions!
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Airflow's Problem
But I totally agree that a large static dag is not appropriate in the actual data world with data mesh and domain responsibility.
[0] https://github.com/kestra-io/kestra
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Ask HN: Open-source with Kafka as dependencies, is this a instant turn off?
- We have plans to add another option that will replace both dependencies with jdbc (https://github.com/kestra-io/kestra/pull/368), is theses dependencies more comfortable for you?
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ELT vs ETL: Why not both?
With Kestra's innate flexibility, and many integrations, you are not locked into the choice of one ingestion method or the other. Complex workflows can be developed, whether in parallel or sequentially, to deliver both ELT and ETL processes. Simple descriptive yaml is used to connect plugins, and to create flows. Because workflows created in Kestra are represented visually, and issues can be seen in relation to individual tasks, there is no need to fear complexity. Trouble can be traced to its source in an instant, allowing you to try new things and come up with a new solution without fear. Give it a try, and let us know what you come up with!
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Debezium Change Data Capture without Kafka Connect
Kestra is an orchestration and scheduling platform that is designed to simplify the building, running, scheduling, and monitoring of complex data pipelines. Data pipelines can be built in real-time, no matter how complex the workflow, and can connect to multiple resources as needed (including Debezium).
What are some alternatives?
Camunda BPM - Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Quarkus, Spring, Spring Boot, CDI.
conductor - Conductor is a microservices orchestration engine.
kogito-runtimes - This repository is a fork of apache/incubator-kie-kogito-runtimes. Please use upstream repository for development.
Flowable (V6) - A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
materialize - The data warehouse for operational workloads.
akhq - Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more...
eventsourcing - A library for event sourcing in Python.
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
samples-java - Temporal Java SDK samples
PowerJob - Enterprise job scheduling middleware with distributed computing ability.