Airflow is well-suited for data engineering pipelines, creating scheduled workflows, and working with various data sources. You can implement almost any kind of DAG for any use case using the different operators or enforce your operator using the Python operator with ease. The MLOps feature of Airflow can be enhanced to match MLFlow-like features, making Airflow the go-to solution for all workloads, from data science to data engineering.
Microsoft Azure Logic Apps was a perfect solution for us to integrate the apps and products we used in our business to create automated workflows which were also complex and very advanced. This was a very new feature for us, and also it reduced our software costs massively and also saved us a lot of time. With the crisis, we were in back then Azure turned out to be the best cost-friendly solution because we only had to pay for what we used!
Apache Airflow is one of the best Orchestration platforms and a go-to scheduler for teams building a data platform or pipelines.
Apache Airflow supports multiple operators, such as the Databricks, Spark, and Python operators. All of these provide us with functionality to implement any business logic.
Apache Airflow is highly scalable, and we can run a large number of DAGs with ease. It provided HA and replication for workers. Maintaining airflow deployments is very easy, even for smaller teams, and we also get lots of metrics for observability.
UI/Dashboard can be updated to be customisable, and jobs summary in groups of errors/failures/success, instead of each job, so that a summary of errors can be used as a starting point for reviewing them.
Navigation - It's a bit dated. Could do with more modern web navigation UX. i.e. sidebars navigation instead of browser back/forward.
Again core functional reorg in terms of UX. Navigation can be improved for core functions as well, instead of discovery.
Microsoft Azure should be unclouded with its pricing. We don't always know how much an inclusion will affect the monthly price. So we have to speculate where we are with the price and if we can afford to include another asset.
For its capability to connect with multicloud environments. Access Control management is something that we don't get in all the schedulers and orchestrators. But although it provides so many flexibility and options to due to python , some level of knowledge of python is needed to be able to build workflows.
I found them easy to use and adapt to different scenarios, from Azure management to link processes between REST APIs. Together with Function Apps, they're probably the most useful resource type for Azure. Today, I use them in production, and that's a key component: stable, secure, easy to manage, and maintain.
Azure Logic Apps are backed by Azure and Microsoft. There is a wealth of information on the internet about both of these platforms. In addition to this Microsoft has a huge bush to using this platform and have offered many solutions and support options to the user. The only drawback is that it is a fairly new platform so the 3rd party information tends to be lacking.
Multiple DAGs can be orchestrated simultaneously at varying times, and runs can be reproduced or replicated with relative ease. Overall, utilizing Apache Airflow is easier to use than other solutions now on the market. It is simple to integrate in Apache Airflow, and the workflow can be monitored and scheduling can be done quickly using Apache Airflow. We advocate using this tool for automating the data pipeline or process.
This is very dependent on the line of work you are in and the unique company requirements, as is the case with everything. We utilize Azure Logic Apps for all of our computing solutions within our domain, and it has always worked flawlessly. One of the simplest clouds to set up and use is by far the most popular.
Impact Depends on number of workflows. If there are lot of workflows then it has a better usecase as the implementation is justified as it needs resources , dedicated VMs, Database that has a cost
Moving to Serverless Computing obviously makes the organization get rid of dependent Infra.
ROI can be seen immediately as the required infra can be decommissioned after a successful quarter run.
Being deployed as a single entity or single app on Azure Logic Apps, Organizations need to be more careful with controls applied to meet compliance and security posture.
