Apache Airflow Reviews

Amazon CloudWatch Reviews

Apache Airflow mentions (66)

• AI Strategy Guide: How to Scale AI Across Your Business

  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 / 13 days ago

• The 2024 Web Hosting Report

  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

• Best ETL Tools And Why To Choose

  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

• Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow

  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

• Share Your favorite python related software!

  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: 8 months ago

Amazon CloudWatch mentions (54)

• How to Master Multi Region Architectures in AWS

  Real-time Monitoring with Amazon CloudWatch: Amazon CloudWatch enables you to monitor your Amazon Web Services Resources in real-time, collecting and tracking your metrics and log files automatically. Amazon CloudWatch enables automatic collection and tracking of metrics, collecting and monitoring log files, setting alarms, and reacting automatically to changes in your AWS resources across multiple regions.... - Source: dev.to / about 2 months ago

• Generating cloudwatch alarms using 'metric math' via CloudFormation and Terraform.

  There are several well-known 3rd party tools, such as Splunk or DataDog, but people often forget there is a handy set of tools provided by AWS under the CloudWatch banner. CloudWatch provides a range of services, such as exposing metrics, linking them to alarms, and X-ray services, to allow us to understand the performance of services in more depth. - Source: dev.to / 5 months ago

• Refactoring a serverless application to use Step Functions third-party API call integration

  I use the OpenWeather API to receive the current temperature data by providing the latitude and longitude coordinates as query strings in the request. A Lambda function invokes the weather API and sends the current temperature value as a custom metric to CloudWatch. I then graph the temperature values on a dashboard and activate an alarm when the temperature sinks below zero degrees Celsius. - Source: dev.to / 5 months ago

• Build Amazon CloudWatch Dashboards with AWS CDK for Serverless Services

  The library provides “easy-to-use CDK constructs for monitoring your AWS infrastructure with Amazon CloudWatch.” It abstracts the CW widget creation and simplifies it with out of the box support for many AWS services such as API Gateway, Lambda, DynamoDB and more. - Source: dev.to / 7 months ago

• Cloud Test Automation on AWS: The Role of QA Engineers

  Monitoring solutions - Familiarity with monitoring solutions like Amazon CloudWatch and AWS CloudTrail allows QA Engineers to proactively identify and address performance issues, ensuring optimal system functionality. - Source: dev.to / 11 months ago