I have just released Allegro OpenSource: Elasticsearch reindex tool
http://allegrotech.io/elasticsearch-reindex-tool.html

Logstash roadmap

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). Speaking of searching, logstash comes with a web interface for searching and drilling into all of your logs.

It is fully free and fully open source. The license is Apache 2.0, meaning you are pretty much free to use it however you want in whatever way.

Now we have also Logstash roadmap

Spring Cloud 1.0.0 Available Now

Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems (e.g. configuration management, service discovery, circuit breakers, intelligent routing, micro-proxy, control bus, one-time tokens, global locks, leadership election, distributed sessions, cluster state). Coordination of distributed systems leads to boiler plate patterns, and using Spring Cloud developers can quickly stand up services and applications that implement those patterns. They will work well in any distributed environment, including the developer’s own laptop, bare metal data centres, and managed platforms such as Cloud Foundry.

More info here:
https://spring.io/blog/2015/03/04/spring-cloud-1-0-0-available-nowLokalizacja

Good article about lucene internals

You can read about lucene implementation concerning posting lists and filters here:

http://www.elasticsearch.org/blog/frame-of-reference-and-roaring-bitmaps/

Announcing MongoDB 3.0

Today MongoDB 3.0 is generally available; you can download now.

A tutorial how to add authorisation layer over elasticsearch cluster using Nginx

Read here: http://www.elasticsearch.org/blog/playing-http-tricks-nginx/

Lucene nightly benchmarks

Each night, an automated Python tool checks out the Lucene/Solr trunk source code and runs multiple benchmarks: indexing the entire Wikipedia English export three times (with different settings / document sizes); running a near-real-time latency test; running a set of "hardish" auto-generated queries and tasks. The tests take around 2.5 hours to run, and the results are verified against the previous run and then added to the graphs linked below.
The goal is to spot any long-term regressions (or, gains!) in Lucene's performance that might otherwise accidentally slip past the committers, hopefully avoiding the fate of the boiling frog.

See more details in http://people.apache.org/~mikemccand/lucenebench/