Hi, Can you please clarify below queries.
1. Can this be considered a stable version, and is it advisable to upgrade to 2.5.0 from 2.1 version? since it's just released. 2. Are there any breaking changes? Or changes to existing configuration needed? And any basic things to keep in mind before upgrading. Please suggest. Thank you.. Thanks, Vinay On Thu, 16 Apr, 2020, 1:45 AM David Arthur, <davidart...@apache.org> wrote: > The Apache Kafka community is pleased to announce the release for Apache > Kafka 2.5.0 > > This release includes many new features, including: > > * TLS 1.3 support (1.2 is now the default) > * Co-groups for Kafka Streams > * Incremental rebalance for Kafka Consumer > * New metrics for better operational insight > * Upgrade Zookeeper to 3.5.7 > * Deprecate support for Scala 2.11 > > All of the changes in this release can be found in the release notes: > https://www.apache.org/dist/kafka/2.5.0/RELEASE_NOTES.html > > > You can download the source and binary release (Scala 2.12 and 2.13) from: > https://kafka.apache.org/downloads#2.5.0 > Release > > --------------------------------------------------------------------------------------------------- > > > Apache Kafka is a distributed streaming platform with four core APIs: > > > ** The Producer API allows an application to publish a stream records to > one or more Kafka topics. > > ** The Consumer API allows an application to subscribe to one or more > topics and process the stream of records produced to them. > > ** The Streams API allows an application to act as a stream processor, > consuming an input stream from one or more topics and producing an > output stream to one or more output topics, effectively transforming the > input streams to output streams. > > ** The Connector API allows building and running reusable producers or > consumers that connect Kafka topics to existing applications or data > systems. For example, a connector to a relational database might > capture every change to a table. > > > With these APIs, Kafka can be used for two broad classes of application: > > ** Building real-time streaming data pipelines that reliably get data > between systems or applications. > > ** Building real-time streaming applications that transform or react > to the streams of data. > > > Apache Kafka is in use at large and small companies worldwide, including > Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank, > Target, The New York Times, Uber, Yelp, and Zalando, among others. > > A big thank you for the following 108 contributors to this release! > > A. Sophie Blee-Goldman, Adam Bellemare, Alaa Zbair, Alex Kokachev, Alex > Leung, Alex Mironov, Alice, Andrew Olson, Andy Coates, Anna Povzner, Antony > Stubbs, Arvind Thirunarayanan, belugabehr, bill, Bill Bejeck, Bob Barrett, > Boyang Chen, Brian Bushree, Brian Byrne, Bruno Cadonna, Bryan Ji, Chia-Ping > Tsai, Chris Egerton, Chris Pettitt, Chris Stromberger, Colin P. Mccabe, > Colin Patrick McCabe, commandini, Cyrus Vafadari, Dae-Ho Kim, David Arthur, > David Jacot, David Kim, David Mao, dengziming, Dhruvil Shah, Edoardo Comar, > Eduardo Pinto, Fábio Silva, gkomissarov, Grant Henke, Greg Harris, Gunnar > Morling, Guozhang Wang, Harsha Laxman, high.lee, highluck, Hossein Torabi, > huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jason Gustafson, jiameixie, John > Roesler, José Armando García Sancio, Jukka Karvanen, Karan Kumar, Kevin Lu, > Konstantine Karantasis, Lee Dongjin, Lev Zemlyanov, Levani Kokhreidze, > Lucas Bradstreet, Manikumar Reddy, Mathias Kub, Matthew Wong, Matthias J. > Sax, Michael Gyarmathy, Michael Viamari, Mickael Maison, Mitch, > mmanna-sapfgl, NanerLee, Narek Karapetian, Navinder Pal Singh Brar, > nicolasguyomar, Nigel Liang, NIkhil Bhatia, Nikolay, ning2008wisc, Omkar > Mestry, Rajini Sivaram, Randall Hauch, ravowlga123, Raymond Ng, Ron > Dagostino, sainath batthala, Sanjana Kaundinya, Scott, Seungha Lee, Simon > Clark, Stanislav Kozlovski, Svend Vanderveken, Sönke Liebau, Ted Yu, Tom > Bentley, Tomislav, Tu Tran, Tu V. Tran, uttpal, Vikas Singh, Viktor > Somogyi, vinoth chandar, wcarlson5, Will James, Xin Wang, zzccctv > > We welcome your help and feedback. For more information on how to > report problems, and to get involved, visit the project website at > https://kafka.apache.org/ > > Thank you! > > > Regards, > David Arthu >
