Based on our record, Apache Airflow should be more popular than Azure Key Vault. It has been mentiond 65 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.
Utilize specialized tools like AWS Secrets Manager, HashiCorp Vault, or Azure Key Vault for secrets management in your serverless environments. These tools keep sensitive data out of function code and configurations and bring advanced features to the table:. - Source: dev.to / 18 days ago
Azure Key Vault is a cloud-based service provided by Microsoft Azure that enables secure storage and management of secrets. It integrates well with Kubernetes, allowing organizations to centralize and control access to secrets within their Azure infrastructure. - Source: dev.to / 5 months ago
No Azure Key Vault[0]? Oh #1 is your product? #3 and #4 mention your product being better? It's your company? Shm [0]: https://azure.microsoft.com/en-us/products/key-vault/. - Source: Hacker News / 5 months ago
Ideally, all secrets should be stored and accessible by a secret manager (Azure Key Vault) and stored on repository only reference to right secret. On the other hand, the developer needs to use the secret's values on their configuration files (i.e. appSettings.json), so a fast way for retrieve them from Key Vault should be nice. - Source: dev.to / 10 months ago
From there, you should be able to use something like GCP HSM or Azure Key Vault (seem to be cheap enough): Https://cloud.google.com/kms/docs/hsm Https://azure.microsoft.com/en-us/products/key-vault/. Source: 11 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 / 3 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: 6 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 / 6 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 7 months ago
I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 8 months ago
AWS CloudHSM - Data Security
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Make.com - Tool for workflow automation (Former Integromat)