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For the 2nd year Kiratech has attended Elastic{on}, the Official Elastic conference that allows to have some previews of the most important announcements and new feature of the Big Data Analytics and Management Software Leader.  The conference has took place from March 7th to 9th in San Francisco.

The event drew more than 2100 attendees and offered several sessions by Elastic customers, engineering and product management teams.

All sessions have been recorded and will be published in the next weeks at the following link: https://www.elastic.co/elasticon/conf/2017/sf

 

Hereafter we want to list the key announcement made during the event: 

  • Elastic has reached 100 Million of downloads for the Elastic stack; that’s a continuous growing considering that they passed from 20M downloads in 2015 to 50M download in March 2016.
  • Elastic has won 3Elastic Cause awards this year, prizes related to the use of the Elastic Stack with a focus on improving the human condition, working for a better global environment or helping a particular population through technology: NoSchoolViolence.org, IST Research and eHealth Africa https://www.elastic.co/causeawards
  • Shay Bannon, that was on the stage of the conference, will succeed Steven Schuurmans as CEO of Elastic by May 1st 2017

 

New products and features schedule for a Spring 2017 release:

  • Machine Learning: Elastic's new unsupervised machine learning capabilities automatically identify anomalies and outliers in the data stored in Elasticsearch based on predictive models. Thanks to the machine learning built into the Elastic Stack, the power of automated and statistical insights on data of any type, size, and complexity will empower users to take proactive actions for fraud detection, cybersecurity, and more.
  • Elastic Cloud Enterprise: Based on Elastic Cloud, Elastic's hosted Elasticsearch and Kibana offering, Elastic Cloud Enterprise automates the setup, administration, and operations of managing multiple Elastic Stack environments through a single console. Elastic Cloud Enterprise provides the choice to run on-premise, in a virtual setup, or a public cloud. It includes all the latest features of the Elastic Stack and X-Pack; and allows users to offer centralized services, such as, logging-, monitoring-, and search- as-a-service capabilities across their entire organization.
  • Filebeat Modules: Elastic's Filebeat modules create a simple, out-of-the-box experience to collect, parse, and visualize log data from systems and services like Apache2, Nginx, MySQL, etc. Once installed, Filebeat modules ship data into Elasticsearch and pre-configured templates setup Kibana dashboards for users analyze data in few minutes.
  • Time Series Visual Builder: Extending the power of Timelion and Metricbeat, Time Series Visual Builder demonstrates the power of aggregations in the same visualization. As a new feature in Kibana, users can create powerful, custom visualizations (Histogram, Gauge, Metric, Top N, and Markdown) for numeric and time series data such as log metrics, application statistics, and server statistics.

  

Future products, no firm release date

  • Elasticsearch SQL: By exposing a language that many users are familiar with and extending it with Elasticsearch's unique capability, Elasticsearch SQL opens the door to new users and new types of interactions.
  • Kibana Canvas: Enabling a new expressive way for users to interact with their data, Kibana Canvas allows users to create and compose charts, dashboards, presentations, and infographics with live, real-time data from Elasticsearch.

 

The announcements of new features like Machine Learning (part of Platinum X-Pack), Elastic Cloud Enterprise (ECE, public beta available here) and Kibana Canvas were very exciting as they reveal a continuous improvement of the solution and we look forward to start implementing them on our customers!

Find below an extraction of the best Elastic Tweets about the Conf:

 

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Elasticon-2017-tweet4.pngElasticon-2017-tweet3.png

 

Elasticon2017-tweet2.pngElasticon-2017-tweet1.png



Categories: Elastic, Data


Marco Bizzantino

written by Marco Bizzantino

Classe 1981, appassionato di informatica da sempre. Lavora da quasi 20 anni su ambienti *NIX; ha iniziato come sistemista, per poi focalizzarsi su aspetti legati alla sicurezza, interessandosi di hardening, design sicuro di infrastrutture, firewall, audit e penetration test. La passione per i numeri e l’analisi gli hanno permesso di specializzarsi su software e sistemi di bigdata analytics e di data visualization in diversi ambiti, secondo l’approccio “driven by data”. Negli ultimi anni ha abbracciato la filosofia DevOps, perché crede fortemente possa portare notevoli vantaggi tecnici e organizzativi: è tutta una questione di reperimento dei giusti tool, e su questo l’attività di scouting è pressoché costante. Segue, organizza e partecipa a diverse community opensource, perché crede fortemente in questo modello di condivisione della conoscenza.

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