c********l 发帖数: 8138 | 1 Announcing Amazon Kinesis Client Library for Python
Dear Amazon Web Services Customer,
This week we announced the release of two new enhancements to Amazon Kinesis
. The first is the release of the Amazon Kinesis Client Library (KCL) for
Python developers. The KCL handles complex issues such as adapting to
changes in stream volume, load-balancing streaming data, coordinating
distributed services, and processing data with fault-tolerance. Python
developers can use the library to easily stream data to power real-time
applications, live dashboards, alert notification, and more. Developers can
download the Kinesis Client Library for Python through GitHub or PyPi.
The second update is to the Amazon Kinesis Storm Spout that enables
developers to use Amazon Kinesis with Storm, an open source, distributed
real-time computation system. The Kinesis Storm Spout fetches data from the
Amazon Kinesis stream and emits it as tuples that Storm topologies can
process. With this update, the Spout also supports Ack/Fail semantics and re
-emits failed messages up to the customer configured retry limit. Developers
can add the Spout to their existing Storm topologies, and leverage Amazon
Kinesis as a reliable, scalable, stream capture, storage, and replay service
that powers their Storm processing applications. The Amazon Kinesis Storm
Spout is available on Github. In conjunction with the updated Amazon Kinesis
Storm Spout, Developers can download AWS white paper titled "Building
Sliding Window Analysis of Clickstream Data Using Amazon Kinesis and Apache
Storm" that introduces the integration with code samples. You can download
the white paper here.
Sincerely,
The Amazon Kinesis Team |
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