ANALYSIS

What You Need to Know

• Breakouts in the Serverless computing predictive analytics are Amazon Lambda, Microservices, Platform as a service. Seriously consider these technologies to get a strategic advantage.
• The technologies who are at the peak of their interest are Serverless Framework, Microservices, Amazon Lambda.
• By far most employment needs are found in the Web application, Back-end, JSON technologies.
• These 3 fields have the most active practitioners who have the specific skill set or experience: Cloud computing, Web application, Back-end.
• GitHub, JSON, Cloud computing lead in searches for information online.
• These three technologies are receiving the highest investments to gain clients: Cloud computing, Platform as a service, Application Performance Management.
• These three technologies have the most active advertisers: Cloud computing, Application Performance Management, Platform as a service.
• In patents, these three technologies have the most coverage Back-end, Cloud computing, Web application.
• The most publications are available for Back-end, Web application, eShop.
• Instruction and courseware availability is highest in these technologies: GMS, Cloud computing, Oriana.

The Serverless computing report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

Serverless Computing simply means that developers no longer have to think that much about them. Computing resources get used as services without having to manage around physical capacities or limits, you no longer have to deal with over/under capacity, deployments, scaling and fault tolerance, OS or language updates, metrics, and logging.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Serverless computing’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over six thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

001099 – Amazon Lambda
000821 – Microservices
000616 – Platform as a service
000418 – RedHorse
000395 – REST API
000391 – Autoscaling
000381 – Function as a Service
000311 – JSON
000304 – Amazon Cognito
000289 – API management platform
000288 – GMS
000217 – Serverless Framework
000217 – GitHub
000194 – Python (programming language)
000175 – Java (programming language)
000152 – Deployment environment
000094 – Software framework
000083 – Web application
000080 – Virtual machines
000076 – Back-end
000040 – Application Performance Management
000024 – Debugger
000012 – Cloud computing
000008 – eShop
000005 – Oriana
000000 – vSpace
000000 – TimeOff
000000 – Service Accent
000000 – PiCloud
000000 – MasterTools
000000 – MAISi
000000 – HC3
000000 – Haskell (programming language)
000000 – EMDECS
000000 – E-Hub

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Evaluation Criteria Definitions:

Interest and Popularity:

Leaders:

100 – Serverless Framework
100 – Microservices
093 – Amazon Lambda

Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.

Employment Demand:

Leaders:

012953 – Web application
012789 – Back-end
012535 – JSON

Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization’s application of it in relation to the other subjects.

Active Practitioners:

Leaders:

02327402 – Cloud computing
00531664 – Web application
00422709 – Back-end

Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization’s application of it in relation to the other subjects.

Monthly Searches:

Leaders:

823000 – GitHub
246000 – JSON
246000 – Cloud computing

How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.

Cost per Click:

Leaders:

029.34 – Cloud computing
028.22 – Platform as a service
019.16 – Application Performance Management

CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.

Active Advertisers:

Leaders:

058 – Cloud computing
044 – Application Performance Management
036 – Platform as a service

This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.

Patents:

Leaders:

00939000 – Back-end
00088300 – Cloud computing
00068900 – Web application

Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.

Books in print:

Leaders:

00016522 – Back-end
00012423 – Web application
00012221 – eShop

Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.

Instruction and courseware available content:

Leaders:

00926000 – GMS
00477000 – Cloud computing
00462000 – Oriana

Number of instruction and courseware available content that covers the subject. Indicator of the need for knowledge sharing and its availability.

Complete Overview:

Interest and Popularity

100 – Serverless Framework
100 – Microservices
093 – Amazon Lambda
092 – GitHub
091 – REST API
091 – Python (programming language)
091 – JSON
089 – Autoscaling
079 – Amazon Cognito
070 – GMS
069 – Platform as a service
065 – eShop
050 – MasterTools
046 – Software framework
042 – Java (programming language)
037 – RedHorse
036 – Oriana
035 – Haskell (programming language)
034 – Web application
034 – Virtual machines
034 – MAISi
034 – Function as a Service
033 – API management platform
030 – Cloud computing
026 – Service Accent
025 – Deployment environment
025 – Back-end
023 – Debugger
023 – Application Performance Management
019 – vSpace
008 – PiCloud
007 – E-Hub
006 – HC3
006 – EMDECS
005 – TimeOff

Employment Demand:

012953 – Web application
012789 – Back-end
012535 – JSON
009452 – Cloud computing
004517 – GitHub
002868 – GMS
001956 – REST API
001627 – Microservices
001575 – Virtual machines
001167 – Platform as a service
000510 – Java (programming language)
000353 – Debugger
000268 – Application Performance Management
000218 – Deployment environment
000139 – Software framework
000100 – Python (programming language)
000091 – Autoscaling
000077 – RedHorse
000035 – TimeOff
000030 – API management platform
000028 – Amazon Lambda
000015 – Oriana
000015 – Function as a Service
000009 – eShop
000007 – HC3
000006 – E-Hub
000002 – Amazon Cognito
000001 – Serverless Framework
000000 – vSpace
000000 – Service Accent
000000 – PiCloud
000000 – MasterTools
000000 – MAISi
000000 – Haskell (programming language)
000000 – EMDECS

Active Practitioners:

02327402 – Cloud computing
00531664 – Web application
00422709 – Back-end
00366418 – JSON
00191427 – GitHub
00069600 – GMS
00066997 – Virtual machines
00045098 – REST API
00033638 – Debugger
00019823 – Microservices
00015311 – Application Performance Management
00013076 – Platform as a service
00012223 – Java (programming language)
00011465 – Oriana
00007779 – eShop
00006779 – Software framework
00004680 – Python (programming language)
00003577 – Deployment environment
00002073 – Autoscaling
00000926 – E-Hub
00000722 – HC3
00000682 – RedHorse
00000398 – vSpace
00000342 – API management platform
00000244 – Service Accent
00000237 – Amazon Lambda
00000176 – TimeOff
00000148 – MAISi
00000134 – Function as a Service
00000111 – Haskell (programming language)
00000093 – MasterTools
00000052 – Amazon Cognito
00000046 – Serverless Framework
00000036 – EMDECS
00000035 – PiCloud

Monthly Searches:

823000 – GitHub
246000 – JSON
246000 – Cloud computing
201000 – eShop
135000 – GMS
074000 – Oriana
049500 – REST API
014800 – Web application
014800 – Debugger
008100 – vSpace
006600 – Platform as a service
004400 – Virtual machines
002900 – HC3
002400 – Application Performance Management
001000 – Software framework
000880 – TimeOff
000260 – API management platform
000000 – Service Accent
000000 – Serverless Framework
000000 – RedHorse
000000 – Python (programming language)
000000 – PiCloud
000000 – Microservices
000000 – MasterTools
000000 – MAISi
000000 – Java (programming language)
000000 – Haskell (programming language)
000000 – Function as a Service
000000 – EMDECS
000000 – E-Hub
000000 – Deployment environment
000000 – Back-end
000000 – Autoscaling
000000 – Amazon Lambda
000000 – Amazon Cognito

Cost per Click:

029.34 – Cloud computing
028.22 – Platform as a service
019.16 – Application Performance Management
009.76 – API management platform
008.63 – Software framework
004.73 – Web application
003.97 – JSON
003.93 – Virtual machines
003.85 – Debugger
003.45 – TimeOff
003.39 – REST API
002.73 – vSpace
002.03 – GitHub
001.45 – eShop
000.33 – HC3
000.08 – GMS
000.04 – Oriana
000.00 – Service Accent
000.00 – Serverless Framework
000.00 – RedHorse
000.00 – Python (programming language)
000.00 – PiCloud
000.00 – Microservices
000.00 – MasterTools
000.00 – MAISi
000.00 – Java (programming language)
000.00 – Haskell (programming language)
000.00 – Function as a Service
000.00 – EMDECS
000.00 – E-Hub
000.00 – Deployment environment
000.00 – Back-end
000.00 – Autoscaling
000.00 – Amazon Lambda
000.00 – Amazon Cognito

Active Advertisers

058 – Cloud computing
044 – Application Performance Management
036 – Platform as a service
030 – API management platform
027 – Web application
023 – Virtual machines
010 – MasterTools
008 – REST API
006 – Microservices
005 – eShop
004 – TimeOff
002 – JSON
001 – HC3
000 – vSpace
000 – Software framework
000 – Service Accent
000 – Serverless Framework
000 – RedHorse
000 – Python (programming language)
000 – PiCloud
000 – Oriana
000 – MAISi
000 – Java (programming language)
000 – Haskell (programming language)
000 – GMS
000 – GitHub
000 – Function as a Service
000 – EMDECS
000 – E-Hub
000 – Deployment environment
000 – Debugger
000 – Back-end
000 – Autoscaling
000 – Amazon Lambda
000 – Amazon Cognito

Patents:

00939000 – Back-end
00088300 – Cloud computing
00068900 – Web application
00068900 – PiCloud
00065600 – Virtual machines
00062800 – GMS
00023400 – Debugger
00017800 – Platform as a service
00016200 – JSON
00014200 – Java (programming language)
00008610 – RedHorse
00007490 – Software framework
00003640 – Function as a Service
00003640 – Deployment environment
00002980 – HC3
00002830 – Application Performance Management
00002000 – REST API
00001240 – Autoscaling
00001110 – vSpace
00000652 – Oriana
00000553 – GitHub
00000532 – Python (programming language)
00000422 – E-Hub
00000265 – eShop
00000089 – MasterTools
00000089 – MAISi
00000062 – Microservices
00000045 – TimeOff
00000024 – Haskell (programming language)
00000000 – Service Accent
00000000 – Serverless Framework
00000000 – EMDECS
00000000 – API management platform
00000000 – Amazon Lambda
00000000 – Amazon Cognito

Books in print:

00016522 – Back-end
00012423 – Web application
00012221 – eShop
00010504 – Cloud computing
00009406 – Virtual machines
00002886 – Java (programming language)
00002684 – JSON
00001483 – GitHub
00001384 – Debugger
00001202 – Platform as a service
00000940 – REST API
00000890 – GMS
00000815 – Python (programming language)
00000771 – Oriana
00000578 – Function as a Service
00000377 – Software framework
00000337 – HC3
00000177 – Deployment environment
00000114 – Application Performance Management
00000111 – Microservices
00000089 – E-Hub
00000062 – RedHorse
00000060 – Haskell (programming language)
00000042 – vSpace
00000037 – Autoscaling
00000019 – MAISi
00000009 – MasterTools
00000004 – TimeOff
00000004 – Amazon Lambda
00000003 – Amazon Cognito
00000002 – API management platform
00000001 – PiCloud
00000001 – EMDECS
00000000 – Service Accent
00000000 – Serverless Framework

Instruction and courseware available content:

00926000 – GMS
00477000 – Cloud computing
00462000 – Oriana
00405000 – eShop
00349000 – GitHub
00243000 – JSON
00219000 – Web application
00098500 – Back-end
00096500 – REST API
00076100 – Java (programming language)
00070500 – Debugger
00068000 – Virtual machines
00028100 – Microservices
00025000 – HC3
00023800 – RedHorse
00023200 – MAISi
00022400 – Python (programming language)
00016400 – Software framework
00014800 – Platform as a service
00009940 – Application Performance Management
00003910 – E-Hub
00002910 – Autoscaling
00002650 – vSpace
00001600 – MasterTools
00001340 – TimeOff
00001010 – API management platform
00000730 – Amazon Cognito
00000529 – Deployment environment
00000492 – Amazon Lambda
00000295 – Serverless Framework
00000184 – Haskell (programming language)
00000113 – Service Accent
00000099 – PiCloud
00000005 – EMDECS
00000003 – Function as a Service

Full Serverless computing Report Purchase Options

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