AWS CloudTrail Reviews

Apache Airflow Reviews

AWS CloudTrail mentions (13)

• Programmatically reacting to S3 bucket external access exposures

  It uses CloudTrail events up to 90 days in the past and creates a tailor-made policy for the role based on the activity. - Source: dev.to / 10 months ago

• AWS Security Survival Kit

  We know that CloudTrail is the bare minimum service to activate on a newly created AWS Account to track all activities on your AWS account. It helps, but this will not alert you to suspicious activities by itself. You still have to check periodically if something has gone wrong in multiple services and the console. - Source: dev.to / 10 months ago

• Receiving Slack notifications when CloudTrail logging gets turned off

  Amazon CloudTrail is the surveillance camera for our accounts. It records every API call that any users or roles make. If we have multiple accounts set up in AWS Organizations, we can create a central trail in the management account. We can then enable logging to all accounts and all regions. Or, if we use Control Tower to set up the account structure, we don't need to do anything because it will automatically... - Source: dev.to / 10 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 / 12 months ago

• 6 Best Practices for AWS Monitoring

  One of the first steps in AWS monitoring is to enable CloudTrail logging. This service allows you to track all API activity in your AWS account, including the actions taken by users, roles, and services. By enabling CloudTrail, you can get a complete picture of who is doing what in your AWS account and identify any unusual activity that could indicate a security issue. Source: about 1 year ago

Apache Airflow mentions (67)

• 10 Open Source Tools for Building MLOps Pipelines

  An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 8 days ago

• 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 / about 1 month 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 / 4 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