Elasticsearch. Presented by: Steve Mayzak, Director of Systems Engineering Vince Marino, Account Exec
|
|
- Rose McCarthy
- 5 years ago
- Views:
Transcription
1 Elasticsearch Presented by: Steve Mayzak, Director of Systems Engineering Vince Marino, Account Exec
2 What about Elasticsearch the Company?! Support 100s of Companies in Production environments Training Developers and Ops around the world on ELK Drive the ELK Projects forward, great things to come! Commercial products: Marvel to monitor and manage ELK! Backed by the best: Benchmark, Index Ventures, NEA Copyright Elasticsearch Copying, publishing and/or distributing without written permission is strictly prohibited
3 Little known facts Elasticsearch now makes over 70% of the Lucene commits Elasticsearch now employs over 100 people in the US, UK, Netherlands, Germany, Poland, Romania, Czech R., Italy, Japan, Canada, France, Spain,? Elasticsearch powers Wikipedia.en search and the over 80 million sites on wordpress.com
4 The Elasticsearch ELK Stack Elasticsearch Kibana Data From Any Source Instantly Analyze Actionable Insights Copyright Elasticsearch Copying, publishing and/or distributing without written permission is strictly prohibited
5 Marvel Monitor and Manage your Elasticsearch Cluster Copyright Elasticsearch Copying, publishing and/or distributing without written permission is strictly prohibited
6 Who s using Elasticsearch? Copyright Elasticsearch Copying, publishing and/or distributing without written permission is strictly prohibited
7 Search as Navigation Update searches in real time based on user content Roll out new features early and often automatically Copyright Elasticsearch Copying, publishing and/or distributing without written permission is strictly prohibited
8 Start small ES curl XGET { } "status" : 200, "name" : "Turner Century", "version" : { "number" : "1.3.1", "build_hash" : "2de6dc5268c32fb49b205233c138d93aaf772015", "build_timestamp" : " T14:45:15Z", "build_snapshot" : false, "lucene_version" : "4.9" }, "tagline" : "You Know, for Search"
9 Add your app REST over http ES
10 Double in size ES ES What about load balancing? Cluster
11 Clients java PHP ES Perl.NET Ruby Python ES JS Cluster
12 Scale your app java PHP ES Perl.NET Ruby Python JS ES Cluster
13 Scale the cluster java PHP ES ES Perl.NET Ruby ES ES Python JS Cluster
14 Roles java PHP Perl Data Data.NET Ruby Python JS Master Cluster Data/ Master
15 Variations java PHP Perl Client Data Data.NET Ruby Python JS Client Master Cluster Data/ Master Servers 1,2 Servers 3,4,5,6
16 Log Analytics Index Billions of events per day Offer Log Analytics as a service to over 3500 customers Copyright Elasticsearch Copying, publishing and/or distributing without written permission is strictly prohibited
17 What about Logging Analytics? Logs,! Packets,! Events,! Transactions,!! Timestamp Data ES Kibana
18 Scale up a bit Forwarder Forwarder Data Data Kibana Shippers Shippers Master Data/ Master Cluster
19 Scale up some more Kibana Forwarder Forwarder Shippers Shippers Forwarder Forwarder Brokers!! Redis!! RabbitMQ!! Kafka Data Master Cluster Data Data/ Master Shippers Shippers
20 Process as a Stream Kibana Log Ship Log Ship Brokers Storm!! Spark!! Samza Brokers Cluster
21 Sentiment Analysis Index and search over millions of social interactions every day Measure sentiment changes as they happen Copyright Elasticsearch Copying, publishing and/or distributing without written permission is strictly prohibited
22 Where does Hadoop fit in? Kibana Log Ship Log Ship Brokers Storm!! Spark!! Samza Brokers Cluster Flume HDFS es-hadoop
23 Scaling Which hardware do I buy? Physical vs Virtual Sizing a shard - Distributed systems knowledge applies Dedicated Masters, Minimum Masters Replica - Pros and Cons
24 Common Pitfalls Not fencing network, locking down Elasticsearch Messing with defaults blindly Shoehorn relational model into NoSQL The ins and outs of Upserts Distributed systems knowledge and architecture a must
25 Q&A
Are you visualizing your logfiles? Bastian Widmer
Are you visualizing your logfiles? Bastian Widmer / @dasrecht Visualizing Logfiles with ELK Stack Bastian Widmer / @dasrecht Hola Com estàs? Bastian Widmer @dasrecht / bastianwidmer.ch DrupalCI: Modernizing
More informationCONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION
Hands-on Session NoSQL DB Donato Summa THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION 1 Summary Elasticsearch How to get Elasticsearch up and running ES data organization
More informationBig Data Architect.
Big Data Architect www.austech.edu.au WHAT IS BIG DATA ARCHITECT? A big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional
More informationUsing Elastic with Magento
Using Elastic with Magento Stefan Willkommer CTO and CO-Founder @ TechDivision GmbH Comparison License Apache License Apache License Index Lucene Lucene API RESTful Webservice RESTful Webservice Scheme
More informationELK Stack Elasticsearch, Logstash, Kibana
www.netways.de ELK Stack Elasticsearch, Logstash, Kibana Munich 19.10.2015 INTRODUCTION Bernd Erk CEO at NETWAYS GmbH Co-Founder Icinga @gethash info@netways.de NETWAYS GmbH Open Source Service Provider
More informationNew features in Elasticsearch 1.0
New features in Elasticsearch 1.0 @lucacavanna what is elasticsearch? RESTful analytics document oriented schema-free search Lucene open source real-time distributed JSON Copyright Elasticsearch 2014.
More informationCorralling logs with ELK
Corralling logs with ELK Open Source Log Analytics Mark Walkom @warkolm mark.walkom@elasticsearch.com Copyright Elasticsearch 2015. 2014. Copying, publishing and/or distributing without written permission
More informationApplication monitoring with BELK. Nishant Sahay, Sr. Architect Bhavani Ananth, Architect
Application monitoring with BELK Nishant Sahay, Sr. Architect Bhavani Ananth, Architect Why logs Business PoV Input Data Analytics User Interactions /Behavior End user Experience/ Improvements 2017 Wipro
More informationDelving Deep into Hadoop Course Contents Introduction to Hadoop and Architecture
Delving Deep into Hadoop Course Contents Introduction to Hadoop and Architecture Hadoop 1.0 Architecture Introduction to Hadoop & Big Data Hadoop Evolution Hadoop Architecture Networking Concepts Use cases
More informationIntroduction to ELK stack
Introduction to ELK stack 巨量資料處理 搜尋 及分析工具介紹 計資中心網路組邵喻美 madeline@ntu.edu.tw 1 Topics Why big data tool for network traffic and log analysis What is ELK stack, and why choose it ELK stack intro ELK use cases
More informationNew Data Architectures For Netflow Analytics NANOG 74. Fangjin Yang - Imply
New Data Architectures For Netflow Analytics NANOG 74 Fangjin Yang - Cofounder @ Imply The Problem Comparing technologies Overview Operational analytic databases Try this at home The Problem Netflow data
More informationBig Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara
Big Data Technology Ecosystem Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara Agenda End-to-End Data Delivery Platform Ecosystem of Data Technologies Mapping an End-to-End Solution Case
More informationADVANCED DATABASES CIS 6930 Dr. Markus Schneider. Group 5 Ajantha Ramineni, Sahil Tiwari, Rishabh Jain, Shivang Gupta
ADVANCED DATABASES CIS 6930 Dr. Markus Schneider Group 5 Ajantha Ramineni, Sahil Tiwari, Rishabh Jain, Shivang Gupta WHAT IS ELASTIC SEARCH? Elastic Search Elasticsearch is a search engine based on Lucene.
More informationwith ElasticSearch, Logstash and Kibana
Analyse logs with ElasticSearch, Logstash and Kibana Clément OUDOT @clementoudot Founded in 1999 >100 persons Montréal, Quebec City, Ottawa, Paris ISO 9001:2004 / ISO 14001:2008 contact@savoirfairelinux.com
More informationAbout the Tutorial. Audience. Prerequisites. Copyright and Disclaimer. Logstash
About the Tutorial is an open-source, centralized, events and logging manager. It is a part of the ELK (ElasticSearch,, Kibana) stack. In this tutorial, we will understand the basics of, its features,
More informationSearch Engines and Time Series Databases
Università degli Studi di Roma Tor Vergata Dipartimento di Ingegneria Civile e Ingegneria Informatica Search Engines and Time Series Databases Corso di Sistemi e Architetture per Big Data A.A. 2017/18
More informationData Science and Open Source Software. Iraklis Varlamis Assistant Professor Harokopio University of Athens
Data Science and Open Source Software Iraklis Varlamis Assistant Professor Harokopio University of Athens varlamis@hua.gr What is data science? 2 Why data science is important? More data (volume, variety,...)
More informationYOU SUN JEONG DATA ANALYTICS WITH DRUID
YOU SUN JEONG DATA ANALYTICS WITH DRUID 2 WHO AM I? Senior Software Engineer of SK Telecom Commercial Products Big Data Discovery Solution (~ 16) Hadoop DW (~ 15) PaaS(CloudFoundry) (~ 13) Iaas (OpenStack)
More informationUsing Apache Spark for generating ElasticSearch indices offline
Using Apache Spark for generating ElasticSearch indices offline Andrej Babolčai ESET Database systems engineer Apache: Big Data Europe 2016 Who am I Software engineer in database systems team Responsible
More informationMonitoring system for geographically distributed datacenters based on Openstack. Gioacchino Vino
Monitoring system for geographically distributed datacenters based on Openstack Gioacchino Vino Tutor: Dott. Domenico Elia Tutor: Dott. Giacinto Donvito Borsa di studio GARR Orio Carlini 2016-2017 INFN
More informationTowards a Real- time Processing Pipeline: Running Apache Flink on AWS
Towards a Real- time Processing Pipeline: Running Apache Flink on AWS Dr. Steffen Hausmann, Solutions Architect Michael Hanisch, Manager Solutions Architecture November 18 th, 2016 Stream Processing Challenges
More informationSearch and Time Series Databases
Università degli Studi di Roma Tor Vergata Dipartimento di Ingegneria Civile e Ingegneria Informatica Search and Time Series Databases Corso di Sistemi e Architetture per Big Data A.A. 2016/17 Valeria
More informationMonitor your containers with the Elastic Stack. Monica Sarbu
Monitor your containers with the Elastic Stack Monica Sarbu Monica Sarbu Team lead, Beats team monica@elastic.co 3 Monitor your containers with the Elastic Stack Elastic Stack 5 Beats are lightweight shippers
More informationThe Elasticsearch-Kibana plugin for Fuel Documentation
The Elasticsearch-Kibana plugin for Fuel Documentation Release 0.9-0.9.0-1 Mirantis Inc. April 26, 2016 CONTENTS 1 User documentation 1 1.1 Overview................................................. 1 1.2
More informationTable 1 The Elastic Stack use cases Use case Industry or vertical market Operational log analytics: Gain real-time operational insight, reduce Mean Ti
Solution Overview Cisco UCS Integrated Infrastructure for Big Data with the Elastic Stack Cisco and Elastic deliver a powerful, scalable, and programmable IT operations and security analytics platform
More informationMODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS
MODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS SUJEE MANIYAM FOUNDER / PRINCIPAL @ ELEPHANT SCALE www.elephantscale.com sujee@elephantscale.com HI, I M SUJEE MANIYAM Founder / Principal @ ElephantScale
More informationInnovatus Technologies
HADOOP 2.X BIGDATA ANALYTICS 1. Java Overview of Java Classes and Objects Garbage Collection and Modifiers Inheritance, Aggregation, Polymorphism Command line argument Abstract class and Interfaces String
More informationIngest. David Pilato, Developer Evangelist Paris, 31 Janvier 2017
Ingest David Pilato, Developer Evangelist Paris, 31 Janvier 2017 Data Ingestion The process of collecting and importing data for immediate use in a datastore 2 ? Simple things should be simple. Shay Banon
More informationData Acquisition. The reference Big Data stack
Università degli Studi di Roma Tor Vergata Dipartimento di Ingegneria Civile e Ingegneria Informatica Data Acquisition Corso di Sistemi e Architetture per Big Data A.A. 2016/17 Valeria Cardellini The reference
More informationIngest. Aaron Mildenstein, Consulting Architect Tokyo Dec 14, 2017
Ingest Aaron Mildenstein, Consulting Architect Tokyo Dec 14, 2017 Data Ingestion The process of collecting and importing data for immediate use 2 ? Simple things should be simple. Shay Banon Elastic{ON}
More informationDeep dive into analytics using Aggregation. Boaz
Deep dive into analytics using Aggregation Boaz Leskes @bleskes Elasticsearch an end-to-end search and analytics platform. full text search highlighted search snippets search-as-you-type did-you-mean suggestions
More informationNinja Level Infrastructure Monitoring. Defensive Approach to Security Monitoring and Automation
Ninja Level Infrastructure Monitoring Defensive Approach to Security Monitoring and Automation 1 DEFCON 24 06 th August 2016, Saturday 10:00-14:00 Madhu Akula & Riyaz Walikar Appsecco.com 2 About Automation
More informationTo Shard or Not to Shard That is the question! Peter Zaitsev April 21, 2016
To Shard or Not to Shard That is the question! Peter Zaitsev April 21, 2016 Story Let s start with the story 2 First things to decide Before you decide how to shard you d best understand whether or not
More informationPercona Live September 21-23, 2015 Mövenpick Hotel Amsterdam
Percona Live 2015 September 21-23, 2015 Mövenpick Hotel Amsterdam MongoDB, Elastic, and Hadoop: The What, When, and How Kimberly Wilkins Principal Engineer/Database Denizen ObjectRocket/Rackspace kimberly@objectrocket.com
More informationCourse Content MongoDB
Course Content MongoDB 1. Course introduction and mongodb Essentials (basics) 2. Introduction to NoSQL databases What is NoSQL? Why NoSQL? Difference Between RDBMS and NoSQL Databases Benefits of NoSQL
More informationIn this brief tutorial, we will be explaining the basics of Elasticsearch and its features.
About the Tutorial is a real-time distributed and open source full-text search and analytics engine. It is used in Single Page Application (SPA) projects. is open source developed in Java and used by many
More informationFlash Storage Complementing a Data Lake for Real-Time Insight
Flash Storage Complementing a Data Lake for Real-Time Insight Dr. Sanhita Sarkar Global Director, Analytics Software Development August 7, 2018 Agenda 1 2 3 4 5 Delivering insight along the entire spectrum
More information100% Containers Powered Carpooling
100% Containers Powered Carpooling Maxime Fouilleul Database Reliability Engineer BlaBlaCar - Facts & Figures Today s agenda Infrastructure Ecosystem - 100% containers powered carpooling Stateful Services
More informationLog Analytics with Amazon Elasticsearch Service. Christoph Schmitter
Log Analytics with Amazon Elasticsearch Service Christoph Schmitter (csc@amazon.de) What we'll cover Understanding Elasticsearch capabilities Elasticsearch, the technology Aggregations; ad-hoc analysis
More informationData Acquisition. The reference Big Data stack
Università degli Studi di Roma Tor Vergata Dipartimento di Ingegneria Civile e Ingegneria Informatica Data Acquisition Corso di Sistemi e Architetture per Big Data A.A. 2017/18 Valeria Cardellini The reference
More informationMonitoring for IT Services and WLCG. Alberto AIMAR CERN-IT for the MONIT Team
Monitoring for IT Services and WLCG Alberto AIMAR CERN-IT for the MONIT Team 2 Outline Scope and Mandate Architecture and Data Flow Technologies and Usage WLCG Monitoring IT DC and Services Monitoring
More informationHadoop Online Training
Hadoop Online Training IQ training facility offers Hadoop Online Training. Our Hadoop trainers come with vast work experience and teaching skills. Our Hadoop training online is regarded as the one of the
More informationBrad Dayley. Sams Teach Yourself. NoSQL with MongoDB. SAMS 800 East 96th Street, Indianapolis, Indiana, USA
Brad Dayley Sams Teach Yourself NoSQL with MongoDB SAMS 800 East 96th Street, Indianapolis, Indiana, 46240 USA Table of Contents Introduction 1 How This Book Is Organized 1 Code Examples 2 Special Elements
More informationFUJITSU Software ServerView Cloud Monitoring Manager V1.1. Release Notes
FUJITSU Software ServerView Cloud Monitoring Manager V1.1 Release Notes J2UL-2170-01ENZ0(00) July 2016 Contents Contents About this Manual... 4 1 What's New?...6 1.1 Performance Improvements... 6 1.2
More informationGetting Started With Serverless: Key Use Cases & Design Patterns
Hybrid clouds that just work Getting Started With Serverless: Key Use Cases & Design Patterns Jennifer Gill Peter Fray Vamsi Chemitiganti Sept 20, 2018 Platform9 Systems 1 Agenda About Us Introduction
More information1 Big Data Hadoop. 1. Introduction About this Course About Big Data Course Logistics Introductions
Big Data Hadoop Architect Online Training (Big Data Hadoop + Apache Spark & Scala+ MongoDB Developer And Administrator + Apache Cassandra + Impala Training + Apache Kafka + Apache Storm) 1 Big Data Hadoop
More informationHow we built a highly scalable Machine Learning platform using Apache Mesos
How we built a highly scalable Machine Learning platform using Apache Mesos Daniel Sârbe Development Manager, BigData and Cloud Machine Translation @ SDL Co-founder of BigData/DataScience Meetup Cluj,
More informationOverview. : Cloudera Data Analyst Training. Course Outline :: Cloudera Data Analyst Training::
Module Title Duration : Cloudera Data Analyst Training : 4 days Overview Take your knowledge to the next level Cloudera University s four-day data analyst training course will teach you to apply traditional
More informationCopyright 2012, Oracle and/or its affiliates. All rights reserved.
1 Oracle NoSQL Database and Oracle Relational Database - A Perfect Fit Dave Rubin Director NoSQL Database Development 2 The following is intended to outline our general product direction. It is intended
More informationBuilding a Scalable Recommender System with Apache Spark, Apache Kafka and Elasticsearch
Nick Pentreath Nov / 14 / 16 Building a Scalable Recommender System with Apache Spark, Apache Kafka and Elasticsearch About @MLnick Principal Engineer, IBM Apache Spark PMC Focused on machine learning
More informationIntroduc)on to Apache Ka1a. Jun Rao Co- founder of Confluent
Introduc)on to Apache Ka1a Jun Rao Co- founder of Confluent Agenda Why people use Ka1a Technical overview of Ka1a What s coming What s Apache Ka1a Distributed, high throughput pub/sub system Ka1a Usage
More informationAmazon Search Services. Christoph Schmitter
Amazon Search Services Christoph Schmitter csc@amazon.de What we'll cover Overview of Amazon Search Services Understand the difference between Cloudsearch and Amazon ElasticSearch Service Q&A Amazon Search
More informationMySQL High Availability
MySQL High Availability InnoDB Cluster and NDB Cluster Ted Wennmark ted.wennmark@oracle.com Copyright 2016, Oracle and/or its its affiliates. All All rights reserved. Safe Harbor Statement The following
More informationBig Data Hadoop Course Content
Big Data Hadoop Course Content Topics covered in the training Introduction to Linux and Big Data Virtual Machine ( VM) Introduction/ Installation of VirtualBox and the Big Data VM Introduction to Linux
More informationBIG DATA COURSE CONTENT
BIG DATA COURSE CONTENT [I] Get Started with Big Data Microsoft Professional Orientation: Big Data Duration: 12 hrs Course Content: Introduction Course Introduction Data Fundamentals Introduction to Data
More informationIntroduction to NoSQL (MongoDB and Elastic )
Introduction to NoSQL (MongoDB and Elastic ) By : Mehdi Habibzadeh (@NimaHM1980) Hossein Shemshadi (@HosseinShemshadi) July 2017 Outlines (July 2017) : Big Data and Challenges Review and Trends Map-Reduce
More informationBig Data. Big Data Analyst. Big Data Engineer. Big Data Architect
Big Data Big Data Analyst INTRODUCTION TO BIG DATA ANALYTICS ANALYTICS PROCESSING TECHNIQUES DATA TRANSFORMATION & BATCH PROCESSING REAL TIME (STREAM) DATA PROCESSING Big Data Engineer BIG DATA FOUNDATION
More informationScaling Up HBase. Duen Horng (Polo) Chau Assistant Professor Associate Director, MS Analytics Georgia Tech. CSE6242 / CX4242: Data & Visual Analytics
http://poloclub.gatech.edu/cse6242 CSE6242 / CX4242: Data & Visual Analytics Scaling Up HBase Duen Horng (Polo) Chau Assistant Professor Associate Director, MS Analytics Georgia Tech Partly based on materials
More information利用 Mesos 打造高延展性 Container 環境. Frank, Microsoft MTC
利用 Mesos 打造高延展性 Container 環境 Frank, Microsoft MTC About Me Developer @ Yahoo! DevOps @ HTC Technical Architect @ MSFT Agenda About Docker Manage containers Apache Mesos Mesosphere DC/OS application = application
More informationrun your own search engine. today: Cablecar
run your own search engine. today: Cablecar Robert Kowalski @robinson_k http://github.com/robertkowalski Search nobody uses that, right? Services on the Market Google Bing Yahoo ask Wolfram Alpha Baidu
More informationCISC 7610 Lecture 5 Distributed multimedia databases. Topics: Scaling up vs out Replication Partitioning CAP Theorem NoSQL NewSQL
CISC 7610 Lecture 5 Distributed multimedia databases Topics: Scaling up vs out Replication Partitioning CAP Theorem NoSQL NewSQL Motivation YouTube receives 400 hours of video per minute That is 200M hours
More informationBig Data Infrastructure at Spotify
Big Data Infrastructure at Spotify Wouter de Bie Team Lead Data Infrastructure September 26, 2013 2 Who am I? According to ZDNet: "The work they have done to improve the Apache Hive data warehouse system
More informationBig Data Hadoop Developer Course Content. Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours
Big Data Hadoop Developer Course Content Who is the target audience? Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours Complete beginners who want to learn Big Data Hadoop Professionals
More informationApache Hadoop Goes Realtime at Facebook. Himanshu Sharma
Apache Hadoop Goes Realtime at Facebook Guide - Dr. Sunny S. Chung Presented By- Anand K Singh Himanshu Sharma Index Problem with Current Stack Apache Hadoop and Hbase Zookeeper Applications of HBase at
More informationShen PingCAP 2017
Shen Li @ PingCAP About me Shen Li ( 申砾 ) Tech Lead of TiDB, VP of Engineering Netease / 360 / PingCAP Infrastructure software engineer WHY DO WE NEED A NEW DATABASE? Brief History Standalone RDBMS NoSQL
More informationHarvesting Logs and Events Using MetaCentrum Virtualization Services. Radoslav Bodó, Daniel Kouřil CESNET
Harvesting Logs and Events Using MetaCentrum Virtualization Services Radoslav Bodó, Daniel Kouřil CESNET Campus network monitoring and security workshop Prague 2014 Agenda Introduction Collecting logs
More informationAn Analysis on the Comparison of the Performance and Configuration Features of Big Data Tools Solr and Elasticsearch
International Journal of Intelligent Systems and Applications in Engineering Advanced Technology and Science ISSN:2147-67992147-6799 www.atscience.org/ijisae Original Research Paper An Analysis on the
More informationBacking Up And Restoring Nagios Log Server. This document describes how to backup and restore a Nagios Log Server cluster.
Backing Up And Restoring Purpose This document describes how to backup and restore a cluster. Target Audience This document is intended for use by Administrators who wish to understand the different backup
More informationFACTS & FIGURES FEBRUARY 2014
FEBRUARY 2014 These figures will be updated regularly. - Layar B.V. FEBRUARY 2014 WHAT THE MARKET SAYS ABOUT AUGMENTED REALITY 1. INTRODUCTION At Layar we measure everything that we do and our customers
More informationIs Elasticsearch the Answer?
High-Performance Big-Data Computation Solution Is Elasticsearch the Answer? Yoav Melamed Navigation The need Optional solutions What is Elasticsearch Not out of the box Shard limitations and capabilities
More informationFluentd + MongoDB + Spark = Awesome Sauce
Fluentd + MongoDB + Spark = Awesome Sauce Nishant Sahay, Sr. Architect, Wipro Limited Bhavani Ananth, Tech Manager, Wipro Limited Your company logo here Wipro Open Source Practice: Vision & Mission Vision
More informationThe SMACK Stack: Spark*, Mesos*, Akka, Cassandra*, Kafka* Elizabeth K. Dublin Apache Kafka Meetup, 30 August 2017.
Dublin Apache Kafka Meetup, 30 August 2017 The SMACK Stack: Spark*, Mesos*, Akka, Cassandra*, Kafka* Elizabeth K. Joseph @pleia2 * ASF projects 1 Elizabeth K. Joseph, Developer Advocate Developer Advocate
More informationNetwork Automation using modern tech. Egor Krivosheev 2degrees
Network Automation using modern tech Egor Krivosheev 2degrees Key parts of network automation today Streaming Telemetry APIs SNMP and screen scraping are still around NETCONF RFC6241 XML encoding Most
More informationThe Long Road from Capistrano to Kubernetes
The Long Road from Capistrano to Kubernetes Tobias Schwab, Co-Founder of PhraseApp Slides: http://bit.ly/cap-to-kube How to deploy Ruby on Rails? Deploying Ruby on Rails required on all servers: OS + system
More informationThe webinar will start soon... Elasticsearch Performance Optimisation
The webinar will start soon... Performance Optimisation 1 whoami Alan Hardy Sr. Solutions Architect NEMEA 2 Webinar Housekeeping & Logistics Slides and recording will be available following the webinar
More informationScaling the Yelp s logging pipeline with Apache Kafka. Enrico
Scaling the Yelp s logging pipeline with Apache Kafka Enrico Canzonieri enrico@yelp.com @EnricoC89 Yelp s Mission Connecting people with great local businesses. Yelp Stats As of Q1 2016 90M 102M 70% 32
More informationSCYLLA: NoSQL at Ludicrous Speed. 主讲人 :ScyllaDB 软件工程师贺俊
SCYLLA: NoSQL at Ludicrous Speed 主讲人 :ScyllaDB 软件工程师贺俊 Today we will cover: + Intro: Who we are, what we do, who uses it + Why we started ScyllaDB + Why should you care + How we made design decisions to
More informationHortonworks and The Internet of Things
Hortonworks and The Internet of Things Dr. Bernhard Walter Solutions Engineer About Hortonworks Customer Momentum ~700 customers (as of November 4, 2015) 152 customers added in Q3 2015 Publicly traded
More informationIntegrate MATLAB Analytics into Enterprise Applications
Integrate Analytics into Enterprise Applications Dr. Roland Michaely 2015 The MathWorks, Inc. 1 Data Analytics Workflow Access and Explore Data Preprocess Data Develop Predictive Models Integrate Analytics
More informationBUILDING HA ELK STACK FOR DRUPAL
BUILDING STACK FOR DRUPAL Marji Cermak DevOps track, Experience level: Intermediate Marji Cermak Systems Engineer at @cermakm Scope of this presentation technical talk targeting sysadmins and systems savvy
More informationIntroduction to Big-Data
Introduction to Big-Data Ms.N.D.Sonwane 1, Mr.S.P.Taley 2 1 Assistant Professor, Computer Science & Engineering, DBACER, Maharashtra, India 2 Assistant Professor, Information Technology, DBACER, Maharashtra,
More informationBig Data on AWS. Peter-Mark Verwoerd Solutions Architect
Big Data on AWS Peter-Mark Verwoerd Solutions Architect What to get out of this talk Non-technical: Big Data processing stages: ingest, store, process, visualize Hot vs. Cold data Low latency processing
More informationAugust 23, 2017 Revision 0.3. Building IoT Applications with GridDB
August 23, 2017 Revision 0.3 Building IoT Applications with GridDB Table of Contents Executive Summary... 2 Introduction... 2 Components of an IoT Application... 2 IoT Models... 3 Edge Computing... 4 Gateway
More informationThe ELK Stack. Elastic Logging. TPS Services Ltd. Copyright 2017 Course Title
The ELK Stack Elastic Logging Content 1.Log analysis 2.The ELK stack 3.Elasticsearch Lab 1 4.Kibana phase 1 Lab 2 5.Beats Lab 3 6.Kibana Lab 4 7.Logstash & Filebeat Lab 5 8.Enhanced Logstash Lab 6 9.Kibana
More informationChallenges for Data Driven Systems
Challenges for Data Driven Systems Eiko Yoneki University of Cambridge Computer Laboratory Data Centric Systems and Networking Emergence of Big Data Shift of Communication Paradigm From end-to-end to data
More informationInfrastructure at your Service. Elking your PostgreSQL Database Infrastructure
Infrastructure at your Service. About me Infrastructure at your Service. Arnaud Berbier Senior Consultant +41 79 128 91 45 arnaud.berbier@dbi-services.com Page 2 Agenda 1.Playground Infrastructure 2.Elastic
More informationSurvey of the Azure Data Landscape. Ike Ellis
Survey of the Azure Data Landscape Ike Ellis Wintellect Core Services Consulting Custom software application development and architecture Instructor Led Training Microsoft s #1 training vendor for over
More informationHadoop, Yarn and Beyond
Hadoop, Yarn and Beyond 1 B. R A M A M U R T H Y Overview We learned about Hadoop1.x or the core. Just like Java evolved, Java core, Java 1.X, Java 2.. So on, software and systems evolve, naturally.. Lets
More informationBig data streaming: Choices for high availability and disaster recovery on Microsoft Azure. By Arnab Ganguly DataCAT
: Choices for high availability and disaster recovery on Microsoft Azure By Arnab Ganguly DataCAT March 2019 Contents Overview... 3 The challenge of a single-region architecture... 3 Configuration considerations...
More informationPowering Monitoring Analytics with ELK stack
Powering Monitoring Analytics with ELK stack Abdelkader Lahmadi, Frédéric Beck To cite this version: Abdelkader Lahmadi, Frédéric Beck. Powering Monitoring Analytics with ELK stack. 9th International Conference
More informationIntegrate MATLAB Analytics into Enterprise Applications
Integrate Analytics into Enterprise Applications Aurélie Urbain MathWorks Consulting Services 2015 The MathWorks, Inc. 1 Data Analytics Workflow Data Acquisition Data Analytics Analytics Integration Business
More informationBlended Learning Outline: Cloudera Data Analyst Training (171219a)
Blended Learning Outline: Cloudera Data Analyst Training (171219a) Cloudera Univeristy s data analyst training course will teach you to apply traditional data analytics and business intelligence skills
More informationBring Context To Your Machine Data With Hadoop, RDBMS & Splunk
Bring Context To Your Machine Data With Hadoop, RDBMS & Splunk Raanan Dagan and Rohit Pujari September 25, 2017 Washington, DC Forward-Looking Statements During the course of this presentation, we may
More informationFuel StackLight Elasticsearch-Kibana Plugin Guide
Fuel StackLight Elasticsearch-Kibana Plugin Guide Release 1.0.0 Mirantis Inc. February 14, 2017 CONTENTS 1 Overview 1 1.1 Introduction............................................... 1 1.2 Key terms.................................................
More informationCONTINUOUS MONITORING OF PERFORMANCE BENCHMARKS IN KERNEL FILE SYSTEMS DRIVER DEVELOPMENT
CONTINUOUS MONITORING OF PERFORMANCE BENCHMARKS IN KERNEL FILE SYSTEMS DRIVER DEVELOPMENT Anoop Vijayan DevOps Lead, Tuxera Tuxera Inc., Westendintie 1, 02160 Espoo, Finland Updated: 26 January 2018 Tel:
More informationWrangling Logs with Logstash and ElasticSearch
Wrangling Logs with Logstash and ElasticSearch Nate Jones & David Castro Media Temple OSCON 2012 Why are we here? Size Quantity Efficiency Access Locality Method Filtering Grokability Noise Structure Metrics
More informationMySQL Cluster Web Scalability, % Availability. Andrew
MySQL Cluster Web Scalability, 99.999% Availability Andrew Morgan @andrewmorgan www.clusterdb.com Safe Harbour Statement The following is intended to outline our general product direction. It is intended
More informationElasticSearch in Production
ElasticSearch in Production lessons learned Anne Veling, ApacheCon EU, November 6, 2012 agenda! Introduction! ElasticSearch! Udini! Upcoming Tool! Lessons Learned introduction! Anne Veling, @anneveling!
More informationConfiguring and Deploying Hadoop Cluster Deployment Templates
Configuring and Deploying Hadoop Cluster Deployment Templates This chapter contains the following sections: Hadoop Cluster Profile Templates, on page 1 Creating a Hadoop Cluster Profile Template, on page
More informationKibana, Grafana and Zeppelin on Monitoring data
Kibana, Grafana and Zeppelin on Monitoring data Internal group presentaion Ildar Nurgaliev OpenLab Summer student Presentation structure About IT-CM-MM Section and myself Visualisation with Kibana 4 and
More information