[ANNOUNCEMENT] Apache Storm 2.5.0
The Apache Storm community is pleased to announce that version
2.5.0 has been released and is available from the downloads page.
https://storm.apache.org/downloads.html
Apache Storm is a free and open source distributed realtime
computation system. Apache Storm makes it easy to reliably process
unbounded streams of data, doing for realtime processing what Hadoop
did for batch processing. Apache Storm has many use cases: realtime
analytics, online machine learning, continuous computation,
distributed RPC, ETL, and more. Apache Storm is fast: a benchmark
clocked it at over a million tuples processed per second per node. It
is scalable, fault-tolerant, guarantees your data will be processed,
and is easy to set up and operate. Apache Storm integrates with the
queueing and database technologies you already use. An Apache Storm
topology consumes streams of data and processes those streams in
arbitrarily complex ways, repartitioning the streams between each
stage of the computation however needed. Read more in the tutorial.
Full Announcement for Apache Storm 2.5.0:
https://storm.apache.org/2023/08/04/storm250-released.html
This release includes a number of code improvements and important
bug fixes that improve Apache Storm's performance, stability and fault
tolerance. We encourage users of previous versions to upgrade to this
latest release.
For complete information on Apache Storm, including instructions
on how to submit bug reports, patches, or suggestions for improvement,
see the Apache Storm website:
https://storm.apache.org/index.html
DOWNLOAD LINK AND KEY
Download it from https://storm.apache.org/downloads.html
The release artifacts are signed with the following key:
https://keyserver.ubuntu.com/pks/lookup?op=get&search=0x134716af768d9b6e
in this file https://www.apache.org/dist/storm/KEYS
THANKS
Special thanks are due to all those who have contributed to Apache
Storm -- whether through direct code contributions, documentation, bug
reports, or helping other users on the mailing lists. Your efforts are
much appreciated.
Enjoy,
Bipin Prasad
Apache Storm Team
