Benefits Significantly Outweigh Challenges of Serverless Computing
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Overview:
A misnomer term, “serverless” does not imply no-need for servers. What it does mean is that the entity that owns/controls a given system does not need to procure/lease and/or provision servers (or virtual machines) for "back-end" code and operations. The back-end refers to the data layer of software as compared to the "front-end", which pertains to the presentation layer of the stack. From an ICT infrastructure perspective, serverless architecture represents a model in which applications are abstracted from hardware and software. This models may be viewed as Function as a Service (FaaS) in the sense that a third-party is responsible for infrastructure management, separating server operations from software development, maintenance, and evolution.
Third parties may be any entity other than the software developer, service provider, enterprise or consumer. For example, a given datacenter operator may provide various Back-end as a Service (BaaS) functions while another datacenter (or enterprise themselves) operate the front-end. This allows for flexibility as apps may be developed without any provisioned servers (e.g. "serverless") and/or in the more traditional framework. It also allows for an enterprise to have much greater operational flexibility as software may be deployed in various combinations of FaaS, BaaS, and off-premise and/or on-premise configurations.
There are a few key operational challenges involved with serverless computing, which include architectural complexity, lack of operational management tools, and loss of control due to exposing APIs to third parties. Despite these issues, serverless computing is anticipated to be a great benefit to IT infrastructure service providers as well as enterprise in terms of expanded deployment options, improved operational flexibility, and reduced costs. These benefits are passed down to the end-user through reduced cost of operations as improved enterprise margins facilitates the ability to offer more competitive pricing for their own products and services.
This report assesses the serverless computing market including companies, strategies, solutions, applications, and services. The report evaluates the market for serverless computing by technology, use cases, application areas, and industry verticals. This includes analysis of serverless computing for Artificial Intelligence (AI) and Internet of Things (IoT) markets. This is further broken-down by AI type and IoT segment (consumer, enterprise, industrial, and government) respectively. The report also assesses the serverless computing market by deployment type, business size, connectivity, and cloud deployment model variants. Industry vertical coverage includes serverless computing in support of financial services, retail, healthcare, manufacturing, agriculture, and more.
Select Report Findings:
- Over 25% of enterprise will deploy serverless applications by 2023
- North America will lead the serverless market followed by Asia Pacific
- Global serverless computing market will approach $ 19.26B USD by 2025
- Testing and Debugging solution grow at highest CAGR during projected period
Select Report Benefits:
- Serverless market outlook and forecasts
- Understand drivers for serverless computing market
- Identify opportunities for serverless involving AI and IoT
- Recommendations for serverless ecosystem constituents
- Understand serverless architecture and deployment considerations
Target Audience:
- Datacenter providers
- Infrastructure providers
- Security solution providers
- Cloud computing companies
- Integrated platform providers
- Governments, research, and NGOs
With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.
This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.
Table of Contents
Companies Mentioned
- Alibaba Cloud
- Amazon Web Services Inc.
- Backand
- CA Technologies
- Dell Boomi Inc.
- Dynatrace
- Fiorano Software Inc.
- Google Inc.
- Huawei Software Technologies Co. Ltd
- IBM Corporation
- Iron.io
- Joyent Inc.
- LEVARNE
- LunchBadger
- Manjrasoft Pty Ltd
- Microsoft Corporation
- Oracle Corporation
- Platform9 Systems Inc.
- Rackspace Inc.
- Realm
- Salesforce
- Serverless Inc.
- SixSq
- Snyk Ltd.
- StdLib
- Syncano
- TIBCO Software Inc.
- Twistlock Ltd.
Methodology
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