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Based on our record, Apache Airflow should be more popular than Amazon EC2 Systems Manager. It has been mentiond 75 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.
Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / about 2 months ago
Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 3 months ago
Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 4 months ago
This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 5 months ago
This "protection" layer of our sensitive value is based on the composition of two AWS services: Key Management Service is the one responsible for creating the private key which will be used to encrypt our value, then Secret Manager or System Manager: Parameters Store allow us to accomplish the same functionality but they differ on some caveats, since the chosen one will be used for saving the secured encrypted... - Source: dev.to / about 2 years ago
AWS Systems Manager is a service that allows you to manage and automate tasks across your AWS resources. One powerful feature of Systems Manager is the ability to set up automated remediation tasks, which can help you quickly resolve issues without manual intervention. For example, you can set up a remediation task that automatically restarts an EC2 instance if its CPU utilization exceeds a certain threshold. Source: about 2 years ago
Instead, it uses an SSM Agent. And this agent will register itself to the AWS Systems Manager. It will use the attached instance profile to do that. From that point on when you request a shell from the Session Manager. The agent will react on this response and establish the connection. - Source: dev.to / over 2 years ago
AWS Systems Manager: you can centralize access to VMs through the service and automate security patching using the tool also. - Source: dev.to / over 2 years ago
You can find more about AWS Systems Manager here. - Source: dev.to / over 3 years ago
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