Level enables IT Professionals to remotely manage and monitor their workstations and servers from anywhere in the world. Level is the first security-focused remote monitoring and management (RMM) platform to implement peer-to-peer (P2P) connections that ensure a fully private and encrypted connection.
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Based on our record, Apache Airflow should be more popular than Level.io. It has been mentiond 67 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.
Level.io does this plus a whole lot more. As some have mentioned already, ideally there are lists of things to monitor. These can all be added to a policy along with up/down status and applied to devices. Source: 12 months ago
Level.io works from a browser, so no client needed on the controlling computer. Source: 12 months ago
With Level.io you can create a script library and then run them on one (or many) target devices. They could be run on the local client that is being used as well, which is what I believe you're asking for. This all works via an agent that checks in to the service and is responsible for the queueing and running off the scripts. Source: about 1 year ago
Take a look at level.io for RMM. Free trial, no commitment, and no need to get a quote or talk to sales. Works for Windows, Mac, and Linux. Source: about 1 year ago
I'd recommend checking out Level (https://level.io). They charge a flat $1 per endpoint. Source: about 1 year 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 / 8 days 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 1 month 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 / 4 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: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
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