AWS News Blog
Author: Donnie Prakoso
Donnie Prakoso is a software engineer, self-proclaimed barista, and Principal Developer Advocate at AWS. With more than 17 years of experience in the technology industry, from telecommunications, banking to startups. He is now focusing on helping the developers to understand varieties of technology to transform their ideas into execution. He loves coffee and any discussion of any topics from microservices to AI / ML.
New – AWS DMS Serverless: Automatically Provisions and Scales Capacity for Migration and Data Replication
With the vast amount of data being created today, organizations are moving to the cloud to take advantage of the security, reliability, and performance of fully managed database services. To facilitate database and analytics migrations, you can use AWS Database Migration Service (AWS DMS). First launched in 2016, AWS DMS offers a simple migration process […]
AWS Week in Review – AWS Wickr, Amazon Redshift, Generative AI, and More – May 29, 2023
This edition of Week in Review marks the end of the month of May. In addition, we just finished all of the in-person AWS Summits in Asia-Pacific and Japan starting from AWS Summit Sydney and AWS Summit Tokyo in April to AWS Summit ASEAN, AWS Summit Seoul, and AWS Summit Mumbai in May. Thank you […]
AWS Application Migration Service Major Updates: Import and Export Feature, Source Server Migration Metrics Dashboard, and Additional Post-Launch Actions
AWS Application Migration Service (AWS MGN) can simplify and expedite your migration to AWS by automatically converting your source servers from physical, virtual, or cloud infrastructure to run natively on AWS. In the post, How to Use the New AWS Application Migration Server for Lift-and-Shift Migrations, Channy introduced us to Application Migration Service and how […]
AWS Clean Rooms Now Generally Available — Collaborate with Your Partners without Sharing Raw Data
Companies across multiple industries, such as advertising and marketing, retail, consumer packaged goods (CPG), travel and hospitality, media and entertainment, and financial services, increasingly look to supplement their data with data from business partners, to build a complete view of their business. Let’s take a marketing use case as an example. Brands, publishers, and their […]
Now Open — AWS Asia Pacific (Melbourne) Region in Australia
Following up on Jeff’s post on the announcement of the Melbourne Region, today I’m pleased to share the general availability of the AWS Asia Pacific (Melbourne) Region with three Availability Zones and API name ap-southeast-4. The AWS Asia Pacific (Melbourne) Region is the second infrastructure Region in Australia, in addition to the Asia Pacific (Sydney) […]
New — Create Point-to-Point Integrations Between Event Producers and Consumers with Amazon EventBridge Pipes
It is increasingly common to use multiple cloud services as building blocks to assemble a modern event-driven application. Using purpose-built services to accomplish a particular task ensures developers get the best capabilities for their use case. However, communication between services can be difficult if they use different technologies to communicate, meaning that you need to […]
New — Introducing Support for Real-Time and Batch Inference in Amazon SageMaker Data Wrangler
To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data. The process of designing this pipeline is time-consuming and requires a cross-team collaboration between machine learning engineers, data engineers, and data scientists to implement the data preparation pipeline into a production environment. The main objective of […]
New — Amazon SageMaker Data Wrangler Supports SaaS Applications as Data Sources
Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis. The common process for data preparation starts with collecting data, then cleaning it, labeling it, and finally validating and visualizing it. Getting the data right with high quality […]