Labs64 NetLicensing is a first-class solution in the Licensing-as-a-Service (LaaS) sector. Based on open standards, it provides a cost-effective, integrated and scalable platform for software vendors and developers who want to concentrate on their product’s core functionality instead of spending resources on developing an own license management software.
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NetLicensing feature set is great licensing tollbox, which can be easily adjusted to your project's needs.
Based on our record, Apache Airflow should be more popular than Labs64 NetLicensing. It has been mentiond 68 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
After the frenzied shopping madness of Black Friday and Cyber Monday at NetLicensing and GuideChimp, it is time to look back and assess campaingn and these outcomes. Source: 7 months ago
Ready to level up?! 🔝 Don't miss out! Visit netlicensing.io and let the Cyber Weeks festivities begin! Source: 8 months ago
🔸 Therefore, when utilizing NetLicensing ( https://netlicensing.io ) to prevent even a single costly failure, it proves to be an investment that pays for itself numerous times. Source: about 1 year ago
Contact us today to learn more about how we can help! - https://netlicensing.io. Source: about 1 year ago
We help software companies manage their licenses and subscriptions with ease. Our cloud-based platform lets you track usage, renewals, compliance, and revenue in one place. Want to see how it works? ➡️ https://netlicensing.io. Source: over 1 year ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 19 days ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / about 1 month ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 2 months ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 5 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 8 months ago
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