Based on our record, Apache Airflow should be more popular than AWS X-Ray. 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.
I also send some annotations and subsegments to X-Ray that makes it easy to identify bottlenecks and Lambda cold starts. - Source: dev.to / 5 months ago
In my eventual use case, this is minor since it'll be run asynchronously, and can take as long as it generally pleases. But that's not as great for our synchronous demo API. So it's time to enable AWS X-Ray to run the distributed tracing over the whole thing. - Source: dev.to / 10 months ago
I've not used AWS' offering but I believe that this is what you can use https://aws.amazon.com/xray/. Source: about 1 year ago
AWS X-Ray is the first tracing-specific platform on this list. X-Ray focuses on troubleshooting and debugging use cases enabled by distributed tracing, such as identifying latency bottlenecks or diagnosing the root cause of unusual behavior, particularly in microservices/serverless architectures. - Source: dev.to / about 1 year ago
AWS X-Ray is a distributed tracing system included in the AWS cloud platform, that enables developers to monitor, analyze, and debug distributed applications running on AWS infrastructure. It provides information on how an application is performing and allows developers to identify and resolve performance issues quickly. X-Ray traces requests as they travel through an application, providing a comprehensive view of... - Source: dev.to / about 1 year 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
Lumigo - With one-click distributed tracing, Lumigo lets developers effortlessly find and fix issues in serverless and microservices environments.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Make.com - Tool for workflow automation (Former Integromat)