Denis, The first post is going to be ready soon, probably by tomorrow. Here is a draft, feedback welcome: https://github.com/ptupitsyn/ptupitsyn.github.io/blob/ignite-2.8/_posts/2020-03-05-Whats-New-In-Ignite-Net-2.8.md
On Wed, Mar 4, 2020 at 5:15 PM Denis Magda <dma...@apache.org> wrote: > Hi Pavel, > > Excellent! It will be good to publish the first article (what's new in > Ignite.NET 2.8) prior to a generic blog on blogs.apache.org so that we can > link your post in for those who are looking for more details. Do you have > any timeline in mind for this article? > > @Alexey Zinoviev <zaleslaw....@gmail.com>, how about you preparing several > paragraphs for the blog highlighting the biggest changes in ML? The same > highlighted content will be elaborated during the webinar. > > - > Denis > > > On Wed, Mar 4, 2020 at 2:29 AM Pavel Tupitsyn <ptupit...@apache.org> > wrote: > > > Denis, I have a few blog posts on Ignite.NET planned: > > > > * What's new in Ignite.NET 2.8 (Thin Client Partition Awareness, logging, > > expiry policy, cluster API, .NET Core 3.x, Dockerfile) > > * Ignite.NET performance improvements on .NET Core 3.x > > * Ignite.NET Partition Awareness performance > > * Fixing JNI thread leak in Ignite.NET > > > > What do you think? Should we have a schedule of some sorts? > > > > On Tue, Mar 3, 2020 at 9:58 PM Alexey Zinoviev <zaleslaw....@gmail.com> > > wrote: > > > > > Sounds ineresting, will help with the post, please share the template, > > not > > > sure about webinar > > > > > > вт, 3 мар. 2020 г., 20:59 Denis Magda <dma...@apache.org>: > > > > > > > Igniters, > > > > > > > > Let's discuss approaches for a global announcement/promotion of the > > > > release. I would suggest focusing on a blog post and a community > > webinar. > > > > > > > > The blog post will introduce significant improvements (service grid, > > thin > > > > clients, new metrics system, ML, etc.) sharing references to > > > documentation > > > > pages with more details. It will be published on blogs.apache.org > in > > a > > > > format similar to this one - > > > > https://blogs.apache.org/ignite/entry/apache-ignite-2-7-deep. I can > > work > > > > on > > > > it unless anybody else is willing to share the news on behalf of the > > > > community. > > > > > > > > Next, the blog post will be featuring a community webinar that is > > > breaking > > > > down a subset of the improvements in more detail. Please see an > > abstract > > > > below with suggested topics for a detailed overview. @Alexey Zinoviev > > > > <zaleslaw....@gmail.com>, would you be able to present the ML part? > > > > @Nikolay > > > > Izhikov <nizhi...@apache.org> or @Andrey Gura <ag...@gridgain.com> > > would > > > > you like to take over the metrics section? I'll work the attendees > > > through > > > > the items listed in "Sustainable production under high load". We > should > > > > target the webinar for the April timeframe. > > > > > > > > > > > > > > > > *Topmost changes in Apache Ignite 2.8 for production maintenance and > > > > machine learning* > > > > > > > > > > > > *Apache Ignite community rolled out more than 1900 changes in Ignite > > 2.8 > > > > that enhanced almost all the components of the platform. The release > > > notes > > > > go with hundreds of lines trying to catalog the improvements. Join > this > > > > webinar led by Ignite community members demonstrating and dissecting > > new > > > > capabilities related to production maintenance, monitoring, and > machine > > > > learning that you do not want to lose sight of:* > > > > > > > > - *Sustainable production under high load: Ignite persistence > > > compaction > > > > and consistent crash recovery, baseline topology auto-adjustment, > no > > > > interruption of operations for some cluster topology change > events.* > > > > - *Next-generation system for monitoring and code tracing: design > > and > > > > usage, exporters configuration (JMX, SQL, OpenCensus) * > > > > - *Ignite Machine Learning major upgrade: a revised approach for > > > models > > > > training/evaluation, models importing from Spark ML, XGBoost and > > much > > > > more > > > > * > > > > > > > > > > > > - > > > > Denis > > > > > > > > > >
