Cloud Management: Solutions Assessment and Market Outlook 2015

Cloud Management: Solutions Assessment and Market Outlook 2015

The Cloud Management ecosystem is rapidly transforming as players, solutions, and associated personnel skills evolve to meet the challenges of 21st century technologies and business practices. Business processes and IT practices are moving in concert at the most successful companies who optimally manage this transition.

Cloud Management can become increasingly complex depending on the specific architectures, business relationships, and evolution of technologies and business interactions. Some of the areas that can lead to complexity are Hybrid Cloud Environments, Inter-Cloud Mediation, and managing multiple Cloud APIs.

New paradigms are emerging such as Cloud Service Management Services to fill gaps that many companies have in terms of resources, skills, and expertise. Major Cloud Management functions include the following:

Service Management
Platform Management
Infrastructure Management
Security Management
Data and Analytics Management

This report provides analysis of cloud management requirements with consideration to architecture, application lifecycle, management application models, and other factors. The report presents an assessment of cloud management companies and solutions including an evaluation of current offerings, growth drivers, market outlook and anticipated future Cloud needs and solutions.

The report includes the following timely information:

Market Outlook
Revenue Expectations
Job Outlook for Cloud Careers
Critical IT Skills and Certifications
Companies and Solutions Assessment
Future of the Cloud
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Target Audience:

Telecommunications network operators
Cloud and datacenter services companies
Cloud and data security solution providers
Cloud and telecom infrastructure providers
IT services, integration, and outsourcing companies
Data management and analytics services companies
Human resource planning personnel of all companies

Report Benefits:

Cloud Management Forecasts
Overview of Cloud Management
Analysis of Cloud APIs, Data, and Analytics
Evaluation of Cloud Management Marketplace
Assessment of Cloud Management Applications
Evaluation of Cloud Services Market Opportunities
Analysis of Cloud Management Companies and Solutions
Vision into Future Market Needs for Cloud Management

Companies in Report:


General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.

1 Executive Summary
2 Fundamental Cloud Needs And Solutions
2.1 Cloud Computing Delivery Models
2.1.1 Software As A Service (Saas) Saas Show Case Microsoft Office Live Office Live Workspace Office Live Small Business Google Apps Advantages Of Google Apps Custom-domain Wide Set Of Tools Security Collaboration Publishing Disadvantage Of Google Apps
2.1.2 Platform As A Service (Paas) Paas Show Case Windows Azure Platform Components Of Windows Azure Windows Azure Sql Azure Advantages Of Sql Azure Easy Deployment Highly Managable Replication Appfabric Saas/Paas Show Case Salesforce.Com Customization Rich Web Services Api Force.Com Platform Force Data Persistency Layer Platform Data Security Google Appengine
2.1.3 Infrastructure As A Service (Iaas) Iaas Show Case Amazon Web Services Amazon Ec2 Amazon S3 Amazon Cloudfront Amazon Simpledb Amazon Sqs Amazon Vpc Vmware Vcloud Vcloud Express
2.2 Cloud Deployment Strategies
2.2.1 Public Cloud
2.2.2 Private Cloud On-premise Private Cloud Externally Hosted Private Cloud
2.2.3 Hybrid Cloud
2.2.4 Community Cloud
3 Cloud Management Requirements And Solutions
3.1 Cloud Interoperability And Standardization
3.2 Cloud Computing Architecture
3.2.1 Cloud Infrastructure
3.2.2 Cloud Apis
3.3 Cloud Data And Analytics Management
3.4 Cloud Application Deployment And Management
3.4.1 Application Lifecycle Uploaded Deployed Instantiated Suspended
3.5 Cloud Management Applications
3.5.1 Self-service Demand For Cloud Self-service Applications Self-service Requirements
3.5.2 Cloud Virtualization Management Demand For Cloud Virtualization Management Cloud Virtualization Management Software Benefits Of Virtualization Less Complexity Cost Reduction For Private And Public Clouds Quick Setup
3.5.3 Workflow Orchestration Demand For Workflow Orchestration Business Vs. Scientific Workflows Business Workflows Modeling Deployment Execution Monitoring Analysis Cloud Workflow Orchestration Business Requirements Defining The Order Of Services Security Service Level Agreements Cloud Orchestration Usage Scenarios
3.5.4 Cloud Capacity Management And Monitoring Cloud Computing Resources Computing Resources Networking Resources Storage Resources Power Resources Resource Demand Proļ¬ling Cases For Web Applications Demand Profiling Resource Utilization Estimation Demand For Cloud Capacity Management Cloud Capacity Management Strategy Requirements For Cloud Capacity Management Strategy Cloud Capacity Monitoring And Reporting Solutions Resource Allocation Controller
3.5.5 Cloud Performance Analysis And Analytics Factors Affecting Cloud Performance Security Recovery Service Level Agreements Network Bandwidth Storage Capacity Buffer Capacity Disk Capacity Fault Tolerance Availability Number Of Users Location Performance Monitoring As-a-service Automated Resource Utilization Monitoring And Analysis Advanced Data Analytics For Better Performance Cloud Resource Monitoring And Tracking
4 Market Outlook: Revenue, Jobs, And More
4.1 Market Potential
4.1.1 Overall Global Growth
4.1.2 Anticipated It Focus On Cloud Investment
4.2 Growth Drivers
4.2.1 Integrated Services
4.2.2 Growth Of Cloud Services
4.2.3 Service Brokerage
4.2.4 Simplified Deployment
4.2.5 The Rise Of Cloud Service Management Services
4.3 Implementation Issues And Adoption Practices
4.3.1 Typical Cloud Implementation/Operation Challenges
4.3.2 Cloud User Survey Findings: Perceptions, Practices And More
4.4 Personnel Skills And Resources Required
4.4.1 The Need To Hire It Personnel With Cloud Expertise
4.4.2 Salary Expectations For Cloud Engineers And Managers
4.4.3 Skills Needed, Development And Corporate Learning
4.4.4 Baseline Cloud Security Skills And Certification
4.5 Anticipated Emerging Cloud Services
4.5.1 Everything As A Service (Xaas)
4.5.2 Data As A Service (Daas)
4.5.3 Carrier Cloud Services
5 Major Vendors And Solutions
5.1 Vmware
5.2 Ibm
5.3 Hp
5.4 Bmc
5.5 Cat Technologies
5.6 Cisco
5.7 Rightscale
5.8 Egenera
5.9 Oracle
5.10 Adaptive Computing
5.11 Servicenow Inc.
5.12 Dell
5.13 Splunk
5.14 Keynote
5.15 Cloudstack
5.16 Eucalyptus
5.17 Abiquo
5.18 Convirture Convirt
5.19 Elasticstack
5.20 Flexiant Extility
5.21 Novell Cloud Manager
6 Anticipated Future Trends
6.1 Development Of Effective Cost Strategies
6.2 The Move Away From Vms
6.3 Multi-cloud Architectures
6.4 Increased Automation
6.5 Real-time Cloud Service Brokerage

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