Migrating from HashiCorp Packer to EC2 Image Builder

By Dustin Ward

AWS FeedMigrating from HashiCorp Packer to EC2 Image Builder Customers often ask how to migrate their Windows and Linux operating system golden image build factory configured in Hashicorp Packer over to Amazon EC2 Image Builder so they can be free from the operational management of their build infrastructure, reduce developer dependency, create re-usable components, and easily…

Field Notes: Automate Disaster Recovery for AWS Workloads with Druva

By Dustin Ward

AWS FeedField Notes: Automate Disaster Recovery for AWS Workloads with Druva This post was co-written by Akshay Panchmukh, Product Manager, Druva and Girish Chanchlani, Sr Partner Solutions Architect, AWS. The Uptime Institute’s Annual Outage Analysis 2021 report estimated that 40% of outages or service interruptions in businesses cost between $100,000 and $1 million, while about…

Integrating Third-Party Firewall Appliances with VMware Cloud on AWS Using VMware Transit Connect

By Dustin Ward

AWS FeedIntegrating Third-Party Firewall Appliances with VMware Cloud on AWS Using VMware Transit Connect By Sheng Chen, Sr. Specialist Solutions Architect – AWS VMware Cloud on AWS is an integrated hybrid cloud offering jointly developed by Amazon Web Services (AWS) and VMware. As customers continually move towards hybrid cloud architectures, it has become increasingly important…

Kinesis Data Firehose now supports dynamic partitioning to Amazon S3

By Dustin Ward

AWS FeedKinesis Data Firehose now supports dynamic partitioning to Amazon S3 Amazon Kinesis Data Firehose provides a convenient way to reliably load streaming data into data lakes, data stores, and analytics services. It can capture, transform, and deliver streaming data to Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service, generic HTTP endpoints,…

Define and run Machine Learning pipelines on Step Functions using Python, Workflow Studio, or States Language

By Dustin Ward

AWS FeedDefine and run Machine Learning pipelines on Step Functions using Python, Workflow Studio, or States Language You can use various tools to define and run machine learning (ML) pipelines or DAGs (Directed Acyclic Graphs). Some popular options include AWS Step Functions, Apache Airflow, KubeFlow Pipelines (KFP), TensorFlow Extended (TFX), Argo, Luigi, and Amazon SageMaker…