Welcome!

News Feed Item

Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 - 2019)

NEW YORK, Aug. 11, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 – 2019)

http://www.reportlinker.com/p02275774/Web-Analytics-Market-by-Solution-Search-Engine-Tracking--Ranking-Heat-Map-Analytics-Marketing-Automation-Behavior-Based-Targeting--by-Services-Professional-Services-Support--Maintenance---Worldwide-Forecasts--Analysis-2014-–-2019.html

The web analytics market analysis consists of various types of solutions and services, applications, deployment types, verticals, and regions. The overall market size is found by adding up the market size of each solution and services such as web engine, indexing and analysis, software query, engine reports and dashboards, professional services and support, maintenance services, and others.

In web analytics, each solution and service is playing an important role in the market. These solutions and services support various applications including social media management, targeting and behavioral analysis, display advertising optimization, multichannel campaign analysis and performance monitoring and other applications.

Most of the enterprises are focusing on marketing effectiveness, reducing causes of attrition of consumers, enhancing customer experience for competitive, and market intelligence. Web analytics helps to gain behavioral insight through various solutions. The web analytics solutions help companies to monitor the customer interaction and trends, which in turn helps them to support their marketing strategies. Hence, the increased focus on web marketing and ads campaigning and increasing e-commerce is one of the major drivers for the web analytics market.

A new innovation, such as real-time web analytics, is higher version of traditional web analytics. Real-time web analytics offers a great help for enterprises by analyzing customer interactions while they happen. It helps in gaining the greatest business assets that's the insight about the customer behavior and empowers the marketers and ad publishers and companies to take the next best action.

The report is expected to help the market leaders/new entrants in this market in the following ways:

1. This report segments the market into solutions and services, covering this market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across the applications, deployment type, organization size, verticals, and regions.2. This report will help them better understand the competitor and gain more insights to better position their business. There is a separate section on competitive landscape that includes competitors' ecosystem and their roles in the market. Besides, there are company profiles of the top 10 players in this market. In this section, market internals are provided that can put them ahead of the competitors.3. The report helps them to understand the overall growth of the market. The report provides information and analysis of key market drivers, restraints, challenges, and opportunities.

1 INTRODUCTION 16

1.1 OBJECTIVES 161.2 REPORT DESCRIPTION 161.3 MARKETS COVERED 171.4 STAKEHOLDERS 191.5 RESEARCH METHODOLOGY 191.5.1 KEY DATA FROM PRIMARY & SECONDARY SOURCES 191.5.2 DATA TRIANGULATION & MARKET FORECASTING 201.6 FORECAST ASSUMPTIONS 21

2 EXECUTIVE SUMMARY 22

2.1 ABSTRACT 222.2 OVERALL MARKET SIZE 23

3 MARKET OVERVIEW 25

3.1 MARKET DEFINITION 263.2 MARKET EVOLUTION 273.3 MARKET SEGMENTATION 283.4 MARKET DYNAMICS 293.4.1 DRIVERS 293.4.1.1 Increasing Shift to Data Driven Businesses 293.4.1.2 Ceaseless Rise in Online Shopping 293.4.1.3 Marketing Automation 293.4.2 RESTRAINTS 303.4.2.1 Data Privacy and Regulations' Compliance 303.4.2.2 Open Source Vendors 303.4.3 OPPORTUNITIES 303.4.3.1 Multi-channel Marketing 303.4.3.2 Increasing Cloud Adoption Trend 313.4.3.3 Need of predictive analytics 313.4.4 IMPACT ANALYSIS OF DROS 323.4.5 VALUE CHAIN 33

4 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY SOLUTION 34

4.1 INTRODUCTION 354.2 SEARCH ENGINE TRACKING & RANKING 384.2.1 OVERVIEW 384.2.2 MARKET SIZE & FORECAST 394.3 HEAT MAP ANALYTICS 404.3.1 OVERVIEW 404.3.2 MARKET SIZE & FORECAST 404.4 MARKETING AUTOMATION 414.4.1 OVERVIEW 414.4.2 MARKET SIZE & FORECAST 424.5 BEHAVIOR-BASED TARGETING 434.5.1 OVERVIEW 434.6 OTHERS 444.6.1 OVERVIEW 444.6.2 MARKET SIZE & FORECAST 44

5 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY SERVICE 46

5.1 INTRODUCTION 475.2 PROFESSIONAL SERVICES 505.2.1 OVERVIEW 505.2.2 MARKET SIZE & FORECAST 505.3 SUPPORT & MAINTENANCE 515.3.1 OVERVIEW 515.3.2 MARKET SIZE & FORECAST 52

6 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY DEPLOYMENT TYPE 53

6.1 INTRODUCTION 546.2 ON-DEMAND 566.2.1 OVERVIEW 566.2.2 MARKET SIZE & FORECAST 566.3 ON-PREMISE 576.3.1 OVERVIEW 576.3.2 MARKET SIZE & FORECAST 57

7 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY APPLICATION 58

7.1 INTRODUCTION 597.2 SOCIAL MEDIA MANAGEMENT 617.2.1 OVERVIEW 617.2.2 MARKET SIZE & FORECAST 627.3 TARGETING & BEHAVIORAL ANALYSIS 627.3.1 OVERVIEW 627.3.2 MARKET SIZE & FORECAST 637.4 DISPLAY ADVERTISING OPTIMIZATION 647.4.1 OVERVIEW 647.4.2 MARKET SIZE & FORECAST 647.5 MULTICHANNEL CAMPAIGN ANALYSIS 657.5.1 OVERVIEW 657.5.2 MARKET SIZE & FORECAST 657.6 PERFORMANCE MONITORING 667.6.1 OVERVIEW 667.6.2 MARKET SIZE & FORECAST 677.7 OTHERS 687.7.1 OVERVIEW 687.7.2 MARKET SIZE & FORECAST 68

8 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY VERTICAL 69

8.1 INTRODUCTION 708.2 RETAIL & CONSUMER GOODS 728.2.1 OVERVIEW 728.2.2 MARKET SIZE & FORECAST 738.3 BFSI 748.3.1 OVERVIEW 748.3.2 MARKET SIZE & FORECAST 758.4 GOVERNMENT 768.4.1 OVERVIEW 768.4.2 MARKET SIZE & FORECAST 778.5 TRAVEL & HOSPITALITY 788.5.1 OVERVIEW 788.5.2 MARKET SIZE & FORECAST 798.6 MEDIA & ENTERTAINMENT 808.6.1 OVERVIEW 808.6.2 MARKET SIZE & FORECAST 818.7 HEALTHCARE & LIFE SCIENCES 828.7.1 OVERVIEW 828.7.2 MARKET SIZE & FORECAST 838.8 TELECOMMUNICATION & IT 848.8.1 OVERVIEW 848.8.2 MARKET SIZE & FORECAST 858.9 OTHERS 878.9.1 OVERVIEW 878.9.2 MARKET SIZE & FORECAST 87

9 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY REGION 89

9.1 INTRODUCTION 909.2 MARKET SIZE & FORECAST 909.2.1 PARFAIT CHART 919.2.2 REGIONAL MARKET LIFECYCLE 929.3 NORTH AMERICA 939.3.1 OVERVIEW 939.3.2 MARKET SIZE & FORECAST 949.4 EUROPE 979.4.1 OVERVIEW 979.4.2 MARKET SIZE & FORECAST 979.5 ASIA-PACIFIC 1009.5.1 OVERVIEW 1009.5.2 MARKET SIZE & FORECAST 1019.6 MIDDLE EAST & AFRICA 1049.6.1 OVERVIEW 1049.6.2 MARKET SIZE & FORECAST 1059.7 LATIN AMERICA 1089.7.1 OVERVIEW 1089.7.2 MARKET SIZE & FORECAST 108

10 COMPETITIVE LANDSCAPE 111

10.1 COMPETITIVE LANDSCAPE 11110.1.1 ECOSYSTEM & ROLES 11110.2 END-USER LANDSCAPE 11210.2.1 MARKET OPPORTUNITY ANALYSIS 11210.2.2 END-USER ANALYSIS 11310.2.2.1 High Adoption by Large Enterprises and SMBs in Retail Sector 11310.2.2.2 Increasing Online Shopping 11310.2.2.3 Demand for Digital Marketing 114

11 COMPANY PROFILES 115 (Overview, Products & Services, Strategies & Insights, Developments and MnM View)*

11.1 ADOBE SYSTEMS 11511.2 AT INTERNET 11811.3 GOOGLE 12111.4 IBM 12411.5 MICROSTRATEGY 12711.6 SAS 13011.7 SPLUNK 13311.8 TABLEAU SOFTWARE 13711.9 TERADATA CORPORATION 14011.10 WEBTRENDS 143*Details on Overview, Products & Services, Strategies & Insights, Developments and MnM View might not be captured in case of unlisted companies.APPENDIX 146- MERGERS AND ACQUISITIONS (M&A) 146- VENTURE CAPITAL TRENDS 153- SOCIAL TRENDS 157

LIST OF TABLES

TABLE 1 WEB ANALYTICS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 23TABLE 2 WEB ANALYTICS MARKET GROWTH, BY REGION, 2015-2019 (Y-O-Y %) 24TABLE 3 WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 35TABLE 4 WEB ANALYTICS MARKET GROWTH, BY SOLUTION, 2015-2019 (Y-O-Y %) 37TABLE 5 WEB ANALYTICS SOLUTIONS MARKET SIZE, BY REGION, 2014-2019($MILLION) 37TABLE 6 SEARCH ENGINE TRACKING & RANKING MARKET SIZE, BY VERTICAL,2014-2019 ($MILLION) 39TABLE 7 HEAT MAP ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 40TABLE 8 MARKETING AUTOMATION MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 42TABLE 9 BEHAVIOR-BASED TARGETING MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 43TABLE 10 OTHER SOLUTIONS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 44TABLE 11 WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 47TABLE 12 WEB ANALYTICS MARKET GROWTH, BY SERVICE, 2015-2019 (Y-O-Y %) 48TABLE 13 WEB ANALYTICS SERVICES MARKET SIZE, BY REGION, 2014-2019($MILLION) 49TABLE 14 PROFESSIONAL SERVICES MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 50TABLE 15 SUPPORT AND MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 52TABLE 16 WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 54TABLE 17 WEB ANALYTICS MARKET GROWTH, BY DEPLOYMENT TYPE, 2015-2019 (Y-O-Y %) 55TABLE 18 ON-PREMISE MARKET SIZE, BY TYPE, 2014-2019 ($MILLION) 56TABLE 19 ON-DEMAND MARKET SIZE, BY TYPE, 2014-2019 ($MILLION) 57TABLE 20 WEB ANALYTICS MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 59TABLE 21 WEB ANALYTICS MARKET GROWTH, BY APPLICATION, 2015-2019 (Y-O-Y %) 61TABLE 22 SOCIAL MEDIA MANAGEMENT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 62TABLE 23 TARGETING AND BEHAVIORAL ANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 63TABLE 24 DISPLAY ADVERTISING OPTIMIZATION MARKET SIZE, BY REGION,2014-2019 ($MILLION) 64TABLE 25 MULTICHANNEL CAMPAIGN ANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 65TABLE 26 PERFORMANCE MONITORINGANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 67TABLE 27 OTHER APPLICATIONS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 68TABLE 28 WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 70TABLE 29 WEB ANALYTICS MARKET GROWTH, BY VERTICAL, 2015-2019 (Y-O-Y %) 72TABLE 30 RETAIL AND CONSUMER GOODS MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 73TABLE 31 RETAIL AND CONSUMER GOODS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 74TABLE 32 BFSI MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 75TABLE 33 BFSI MARKET SIZE, BY REGION,2014-2019 ($MILLION) 76TABLE 34 GOVERNMENT MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 77TABLE 35 GOVERNMENT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 78TABLE 36 TRAVEL AND HOSPITALITY MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 79TABLE 37 TRAVEL AND HOSPITALITY MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 80TABLE 38 MEDIA AND ENTERTAINMENT MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 81TABLE 39 MEDIA AND ENTERTAINMENT MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 82TABLE 40 HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 83TABLE 41 HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY REGION,2014-2019 ($MILLION) 84TABLE 42 TELECOMMUNICATION AND IT MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 85TABLE 43 TELECOMMUNICATION AND IT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 86TABLE 44 OTHER VERTICALS MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 87TABLE 45 OTHER VERTICALS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 88TABLE 46 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 94TABLE 47 NORTH AMERICA: WEBANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 95TABLE 48 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY VERTICAL,2014-2019 ($MILLION) 95TABLE 49 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 96TABLE 50 EUROPE: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 97TABLE 51 EUROPE: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 98TABLE 52 EUROPE: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 99TABLE 53 EUROPE: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 100TABLE 54 APAC: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 101TABLE 55 APAC: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 102TABLE 56 APAC: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 102TABLE 57 APAC: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 103TABLE 58 MEA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 105TABLE 59 MEA: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 106TABLE 60 MEA: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 106TABLE 61 MEA: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 107TABLE 62 LATIN AMERICA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 108TABLE 63 LATIN AMERICA:WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 109TABLE 64 LATIN AMERICA: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 109TABLE 65 LATIN AMERICA: WEB ANALYTIC MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 110

LIST OF FIGURES

FIGURE 1 DATA TRIANGULATION 18FIGURE 2 WEB ANALYTICS MARKET: EVOLUTION 25FIGURE 3 WEB ANALYTICS MARKET: SEGMENTATION 26FIGURE 4 WEB ANALYTICS MARKET: TIME IMPACT ANALYSIS 30FIGURE 5 WEB ANALYTICS MARKET: VALUE CHAIN 31FIGURE 6 WEB ANALYTICS MARKET GROWTH, BY SOLUTION, 2015-2019 (Y-O-Y %) 34FIGURE 7 WEB ANALYTICS MARKET GROWTH, BY SERVICE, 2015-2019 (Y-O-Y %) 46FIGURE 8 WEB ANALYTICS MARKET GROWTH, BY DEPLOYMENT TYPE, 2015-2019 (Y-O-Y %) 53FIGURE 9 WEB ANALYTICS MARKET GROWTH, BY APPLICATION, 2015-2019 (Y-O-Y %) 58FIGURE 10 WEB ANALYTICS MARKET GROWTH, BY VERTICAL, 2015-2019 (Y-O-Y %) 69FIGURE 11 WEB ANALYTICS MARKET GROWTH, BY REGION, 2015-2019 (Y-O-Y %) 88FIGURE 12 REGION-WISE WEB ANALYTICS MARKET SIZE, 2014-2019 89FIGURE 13 WEB ANALYTICS: REGIONAL MARKET LIFECYCLE 90FIGURE 14 WEB ANALYTICS MARKET: ECOSYSTEM 109FIGURE 15 WEB ANALYTICS MARKET: OPPORTUNITY PLOT 110FIGURE 16 WEB ANALYTICS MARKET-SOCIAL TRENDS 155

To order this report: Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 – 2019) http://www.reportlinker.com/p02275774/Web-Analytics-Market-by-Solution-Search-Engine-Tracking--Ranking-Heat-Map-Analytics-Marketing-Automation-Behavior-Based-Targeting--by-Services-Professional-Services-Support--Maintenance---Worldwide-Forecasts--Analysis-2014-–-2019.html

Contact Clare: [email protected]: (339)-368-6001Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Join IBM November 2 at 19th Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA, and learn how to go beyond multi-speed it to bring agility to traditional enterprise applications. Technology innovation is the driving force behind modern business and enterprises must respond by increasing the speed and efficiency of software delivery. The challenge is that existing enterprise applications are expensive to develop and difficult to modernize. This often results in what Gartner calls ...
SYS-CON Events announced today that Super Micro Computer, Inc., a global leader in compute, storage and networking technologies, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Supermicro (NASDAQ: SMCI), the leading innovator in high-performance, high-efficiency server technology, is a premier provider of advanced server Building Block Solutions® for Data Center, Cloud Computing, Enterprise IT, Hadoop/...
Amazon has gradually rolled out parts of its IoT offerings in the last year, but these are just the tip of the iceberg. In addition to optimizing their back-end AWS offerings, Amazon is laying the ground work to be a major force in IoT – especially in the connected home and office. Amazon is extending its reach by building on its dominant Cloud IoT platform, its Dash Button strategy, recently announced Replenishment Services, the Echo/Alexa voice recognition control platform, the 6-7 strategic...
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the work...
With billions of sensors deployed worldwide, the amount of machine-generated data will soon exceed what our networks can handle. But consumers and businesses will expect seamless experiences and real-time responsiveness. What does this mean for IoT devices and the infrastructure that supports them? More of the data will need to be handled at - or closer to - the devices themselves.
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists will examine how DevOps helps to meet th...
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Analytic. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
Judith Hurwitz is president and CEO of Hurwitz & Associates, a Needham, Mass., research and consulting firm focused on emerging technology, including big data, cognitive computing and governance. She is co-author of the book Cognitive Computing and Big Data Analytics, published in 2015. Her Cloud Expo session, "What Is the Business Imperative for Cognitive Computing?" is scheduled for Wednesday, June 8, at 8:40 a.m. In it, she puts cognitive computing into perspective with its value to the busin...
Building a cross-cloud operational model can be a daunting task. Per-cloud silos are not the answer, but neither is a fully generic abstraction plane that strips out capabilities unique to a particular provider. In his session at 20th Cloud Expo, Chris Wolf, VP & Chief Technology Officer, Global Field & Industry at VMware, will discuss how successful organizations approach cloud operations and management, with insights into where operations should be centralized and when it’s best to decentraliz...
Keeping pace with advancements in software delivery processes and tooling is taxing even for the most proficient organizations. Point tools, platforms, open source and the increasing adoption of private and public cloud services requires strong engineering rigor – all in the face of developer demands to use the tools of choice. As Agile has settled in as a mainstream practice, now DevOps has emerged as the next wave to improve software delivery speed and output. To make DevOps work, organization...
Five years ago development was seen as a dead-end career, now it’s anything but – with an explosion in mobile and IoT initiatives increasing the demand for skilled engineers. But apart from having a ready supply of great coders, what constitutes true ‘DevOps Royalty’? It’ll be the ability to craft resilient architectures, supportability, security everywhere across the software lifecycle. In his keynote at @DevOpsSummit at 20th Cloud Expo, Jeffrey Scheaffer, GM and SVP, Continuous Delivery Busine...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Cognitive Computing is becoming the foundation for a new generation of solutions that have the potential to transform business. Unlike traditional approaches to building solutions, a cognitive computing approach allows the data to help determine the way applications are designed. This contrasts with conventional software development that begins with defining logic based on the current way a business operates. In her session at 18th Cloud Expo, Judith S. Hurwitz, President and CEO of Hurwitz & ...
SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure network...
Everyone wants to use containers, but monitoring containers is hard. New ephemeral architecture introduces new challenges in how monitoring tools need to monitor and visualize containers, so your team can make sense of everything. In his session at @DevOpsSummit, David Gildeh, co-founder and CEO of Outlyer, will go through the challenges and show there is light at the end of the tunnel if you use the right tools and understand what you need to be monitoring to successfully use containers in your...