Category: Analytics

We’ve increased the geographic footprint and international relevance of several AWS services this past month. Here’s a summary: Amazon WorkSpaces and AWS Directory Service are now available in the Asia Pacific (Singapore) region. Amazon ElastiCache is now available in the Europe (Frankfurt) region. AWS Trusted Advisor, Amazon ElastiCache, and RDS integration with AWS CloudTrail are […]

My colleague Adi Krishnan wrote the following guest post to tell you about the newest addition to the Amazon Kinesis API. — Jeff; Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. Customers love the fact that they can put any amount of data in to a Kinesis […]

AWS Data Pipeline helps you to reliably process and move data between compute and storage services running either on AWS on on-premises. The pipelines that you create with Data Pipeline’s graphical editor are scalable and fault tolerant, and can be scheduled to run at specific intervals. To learn more, read my launch post, The New […]

We want to make it even easier for you to build applications that run in the Cloud. We want you to be able to focus on your code, and to work within a cloud-centric environment where scalability, reliability, and runtime efficiency are all high enough to be simply taken for granted! Today we are launching […]

My colleague Rahul Patil sent me a nice guest post. In the post Rahul shows you how to use the new Kinesis Client Library (KCL) for Python developers. — Jeff; The Amazon Kinesis team is excited to release the Kinesis Client Library (KCL) for Python developers! Developers can use the KCL to build distributed applications […]

My colleague Rahul Patil wrote a guest post to show you how to build an application that loads streaming data from Kinesis into an Elasticsearch cluster in real-time. — Jeff; The Amazon Kinesis team is excited to release the Kinesis connector to Elasticsearch! Using the connector, developers can easily write an application that loads streaming […]

I’ve got a special treat for you today! Kiyoto Tamura of Treasure Data wrote a really interesting guest post to introduce you to Fluentd and to show you how you can use it with a wide variety of AWS services to collect, store, and process data. — Jeff; Data storage is Cheap. Data collection is […]

Amazon Kinesis is a real-time service for processing streaming data at massive scale. You can process Kinesis data in a variety of ways, including the Kinesis Client Library, Apache Storm, or Elastic Map Reduce. Mobile gaming companies like Supercell ( AWS Case Study) and analytics companies like Snowplow Analytics ( AWS Case Study) accelerate their […]