Category: Amazon Kinesis

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 […]

Regular readers of this blog already know that Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. As I noted last month when we introduced the Kinesis Storm Spout, Kinesis is but one component of a complete end-to-end streaming data application. In order to build such an application, […]

Amazon Kinesis is a fully managed service for real-time processing of streamed data at massive scale. When we launched Kinesis in November of 2013, we also introduced the Kinesis Client Library. You can use the client library to build applications that process streaming data. It will handle complex issues such as load-balancing of streaming data, […]

We announced a limited preview of Amazon Kinesis last month at AWS re:Invent. If you aren’t familiar with Kinesis, take a quick look at my recent post, Amazon Kinesis – Real-Time Processing of Streaming Big Data, to learn more. I am pleased to announce that Kinesis is now available in public beta form, and that […]