Critical analysis of vendor lock-in and its impact on cloud computing migration: a business perspective
© Opara-Martins et al. 2016
Received: 6 May 2015
Accepted: 5 April 2016
Published: 15 April 2016
Vendor lock-in is a major barrier to the adoption of cloud computing, due to the lack of standardization. Current solutions and efforts tackling the vendor lock-in problem are predominantly technology-oriented. Limited studies exist to analyse and highlight the complexity of vendor lock-in problem in the cloud environment. Consequently, most customers are unaware of proprietary standards which inhibit interoperability and portability of applications when taking services from vendors. This paper provides a critical analysis of the vendor lock-in problem, from a business perspective. A survey based on qualitative and quantitative approaches conducted in this study has identified the main risk factors that give rise to lock-in situations. The analysis of our survey of 114 participants shows that, as computing resources migrate from on-premise to the cloud, the vendor lock-in problem is exacerbated. Furthermore, the findings exemplify the importance of interoperability, portability and standards in cloud computing. A number of strategies are proposed on how to avoid and mitigate lock-in risks when migrating to cloud computing. The strategies relate to contracts, selection of vendors that support standardised formats and protocols regarding standard data structures and APIs, developing awareness of commonalities and dependencies among cloud-based solutions. We strongly believe that the implementation of these strategies has a great potential to reduce the risks of vendor lock-in.
KeywordsCloud computing Vendor lock-in Enterprise migration Cloud adoption Cloud API’s Interoperability Portability Standards DevOps
Cloud computing is to offer an opportunistic business strategy to enterprises (small or large), to remain competitive and meet business needs [1–3]. Whilst this seems like an attractive proposition for both public and private companies, a number of challenges remain inadequately addressed. A recent survey conducted by  reported security and vendor lock-in as major barriers to cloud adoption across the United Kingdom (UK) market. The European Network and Information Security Agency (ENISA) and European Commission (EC) have recognized the vendor lock-in problem as a one of the greatest obstacles to enterprise cloud adoption .
The reviews of existing literature [6–12] have shown that previous studies have focused more on interoperability and portability issues of cloud computing when lock-in is discussed. Amongst many problems being discussed are: the lack of standard interfaces and open APIs , the lack of open standards for VM format  and service deployment interfaces , as well as lack of open formats for data interchange. These issues result in difficulties in integration between services obtained from different cloud providers as well as between cloud resources and internal legacy systems . Consequently, this renders the interoperability and portability of data and application services difficult. The emergent difficulty is a direct result of the current differences between individual cloud vendors offerings based on non-compatible underlying technologies and proprietary standards. In essence, cloud providers often propose their own solutions and proprietary interfaces for access to resources and services. This heterogeneity of cloud provider solutions (i.e. hardware and software) and service interfaces is a crucial problem since most of the current resources bind the customer to stick with one cloud technology due to high cost in porting the applications and data to a different provider’s interface. The heterogeneity in cloud computing is simply the existence of differentiated hardware, architectures, infrastructure, and technology used by cloud providers. Many cloud vendors provide services based on custom-built policies, infrastructure, platforms, and APIs that make the overall cloud landscape heterogeneous. Such variations cause interoperability, portability, and integration very challenging.
Following the principle that compatible interfaces are important in a cloud environment, two implementations of the same cloud service may store and process data very differently. This may well also involve storing derived and implementation specific data differently . Without proper definitions for import and export formats, a set of data from one service implementation will probably be meaningless when imported into another cloud service. For example, a cloud service may be accessed and used by a wide variety of clients, including mobile, desktops and even tablet PCs. However, the information created and consumed by those services can still be limited to a single vendor if a proprietary data format is used. Further, this can create a degree of instability and data incompatibility issue as interfaces to the functionality may be proprietary, and thus any solution that is built to leverage the functionality provided cannot be easily migrated to a competitive cloud service offering . So, while customers might be able to access and use the services from a variety of clients, the ability to move seamlessly from one vendor to another may be difficult because of other dependencies such as different data formats. Clearly, this problem has an impact on interoperability and data portability between clouds.
At the core of all these problems, we can identify concerns about consumers’ demand to migrate data to and from different clouds (data portability), and interoperability between clouds. Research has already addressed movability and migration on a functional level [18, 19]. However, migration is currently far from being trivial. The two main reasons are the lack of world-wide adopted standards or interfaces to leverage the dynamic landscape of cloud related offers , and absence of standards for defining parameters for cloud applications and their management. Without an appropriate standardized format, ensuring interoperability, portability, compliance, trust, and security is difficult . Standards continue to rapidly evolve in step with technology. Hence, standards may be at different stages of maturity and levels of acceptance. But, unless the standards are well-accepted and widely used, such standards remain a questionable solution . In other words a partially adopted standard would represent a poor solution. Essentially, this explicit lack of standards to support portability and interoperability among cloud providers stifles the market competition and locks customers to a single cloud provider . To expatiate further, potential difficulties (by primarily technological means) in achieving interoperability and portability lead to lock-in – resulting in customer dependency on the services of a single cloud computing provider . From a legal stance, the dependency can be aggravated by the abusive conduct of a cloud computing provider within the meaning of Article 102 TFEU (Treaty on the Functioning of the European Union) , where other providers are excluded from competing from the customers of the initial cloud provider. In such situations, limitations to interoperability and portability could be seen as an abuse by a dominant provider using this practice as a technical means to stifle (i.e. monopolize) competition. Such practices distort competition and harm consumers by depriving them of better prices, greater choices and innovation. Hence, the competition law has the role of ensuring competition is maintained and enforced in the market by regulating anti-competitive conduct by cloud providers. To this end, it can be concluded that cloud interoperability (and data portability) constraints are potential results of anti-competitive environment created by offering services with proprietary standards.
The vendor lock-in problem in cloud computing is the situation where customers are dependent (i.e. locked-in) on a single cloud provider technology implementation and cannot easily move in the future to a different vendor without substantial costs, legal constraints, or technical incompatibilities . To substantiate further from the lenses of a software developer, the lock-in situation is evident in that applications developed for specific cloud platforms (e.g. Amazon EC2, Microsoft Azure), cannot easily be migrated to other cloud platforms and users become vulnerable to any changes made by their providers . Actually, the lock-in issue arises when a company, for instance, decides to change cloud providers (or perhaps integrate services from different providers), but is unable to move applications or data across different cloud services because the semantics of resources and services of cloud providers do not match with each other. This heterogeneity of cloud semantics  and cloud Application Program Interfaces (APIs) creates technical incompatibility which in turn leads to interoperability and portability challenges . This makes interoperation, collaboration, portability and manageability of data and services a very complex and elusive task. For these reasons, it becomes important from the view point of the business to retain the flexibility to change providers according to business concerns or even keep in-house some of the components that are less mission-critical due to security related risks. Interoperability and portability among cloud providers can avoid the problem of vendor lock-in. It is the way toward a more competitive market for cloud providers and customers.
Lock-in affects cloud migration
Interoperability and portability are essential qualities that affect the cloud under different perspectives [7, 13], due to the risk of vendor lock-in. While many studies cite vendor lock-in as a major barrier to cloud computing adoption [3, 27–32], yet due to its complexity, a lack of clarity still pervades. Without a clear insight into how such complex decision is made to avoid lock-in, it is difficult to identify gaps where further research is beneficial for business adopters. Existing solutions and studies addressing the lock-in problem have predominantly been technological oriented, where the focus is on knowledge garnered through logical deduction and technical expertise. Such approach is compromised by ignoring organisations’ awareness and perception of the lock-in problem. For example, how is cloud lock-in experienced or understood from the business stance? Limited in-depth studies exist to investigate the complexity of cloud lock-in problem within enterprise organisations. Likewise the customers, who are willing to choose the cloud services without being strictly bond to a specific solution, are mostly neglected. Advances in cloud computing research have in recent years resulted in a growing interest for migration towards the cloud. But due to concerns about the risks of vendor lock-in, as noted by , organisations would particularly welcome standards that address application migration (e.g. Open Virtualization Format (OVF)) and data migration (e.g. Amazon S3 API) because such standards mitigate lock-in concerns. Various standardisation solutions from different industry bodies have been developed for increasing interoperability and portability within diverse cloud computing services [32, 34]. However, initiatives by multiple standard bodies, researchers, and consortiums could indirectly lead to the possibility of multiple standards emerging with possible lack of consensus, thereby deteriorating the lock-in problem even further.
In spite of these legitimate concerns and technical complexity, our study aims to answer the following two questions of interest to business adopters: 1) “How to avoid being locked-in to a single cloud provider? 2) How easy and secure is it to deploy existing cloud artefacts (e.g. software applications, databases, data, virtual servers etc.) on another service provider’s platform without modification to the artefacts – which would reduce the financial benefit of the migration?” The former applies more to companies who have migrated or are looking to adopt more cloud solutions, whereas the latter is closely related to companies considering moving core systems into the cloud environment. Giving answers to these questions is deceptively easy and straightforward, but the reality is different. Presently, for many companies, there is a large amount of sensitive data and IT assets in-house which can deter them to migrate to the cloud due to risks of vendor lock-in, security and privacy issues. For these reasons, it becomes not only critical to consider security and privacy concerns but also related issues such as integration, portability, and interoperability between the software on-premise and in the cloud , should be taking into account. Therefore, organisations must be aware of appropriate standards and protocols used by cloud providers to support data/application movability. Moreover, the ease of moving data across (i.e. portability) cloud providers’ platform mandates data to be in a compatible format , and includes the need to securely delete the old storage . In other words, the ability to move data/application about is of crucial importance, as much as the effort involved in actually moving – inability to achieve this portends large as a management issue for cloud computing. To further complicate matters, maintaining compliance with governmental regulations and industry requirements adds another layer of considerations to the management of data. Whether or not organisations can easily shift their data/application about seamlessly, still remains one of the biggest issues facing cloud adoption across diverse industries. Based on our findings, we propose strategic solutions that enterprises can follow to avoid entering into vendor lock-in situations.
Phase 1: pilot interview study
In the pilot study, qualitative data were collected through the use of open-ended interviews with IT practitioners to explore the business-related issues of vendor lock-in affecting cloud adoption. Five participants from different industry sectors and organizations were purposely selected for in-depth interviews. They included a security expert, cloud advisor, IT technician, business end user, and an IT manager. The purpose was to explore the cloud lock-in problems, and explore the prevalence of its dimensions, by gaining a range of insights from different IT professionals.
Each interview data collected was transcribed verbatim, and the data was analysed using the Nvivo 8 QSR software package for data storage, coding, and theme development . Due to the participatory and time consuming nature of this pilot phase, it was deemed important that each interview be given considerable time for analysis. Seven themes emerged in relation to participants’ perception of vendor lock-in problem and how this affects their migration and adoption decisions. The themes were; (1) standards, (2) interoperability in the cloud environment, (3) the need for portability, (4) integration challenges, (5) contract exit strategy, (6) data ownership (7) security and privacy issues. The analysis of the responses across the seven themes showed the participants’ priority of the themes. As a result, data portability and interoperability concerns were the most discussed theme in relation to vendor lock-in. However, participants were less interested to divulge about the security and contract exit strategies, including data ownership and privacy risks. Subsequent to the pilot interviews a questionnaire was designed for a survey. The main issues raised at the interviews were incorporated into the questionnaire.
Phase 2: quantitative survey questionnaire
The goal of phase 2 was to identify and evaluate the risks and opportunities of vendor lock-in which affect stakeholders’ decision-making about adopting cloud solutions. This phase of the research design is based on an online survey tool . Participants were selected and invited by e-mail to participate in the survey. The aim of the survey was an in-depth study of the effect of vendor lock-in in migration of enterprise IT resources to the cloud (Additional files 1 and 2).
Questionnaire data collection
Socio-Demographic profile of participant organisation
Over 501 Employees
Production & Manufacturing
Public sector & Healthcare
Organisations in the survey
Adoption of cloud computing by UK businesses
The business benefits of cloud migration
Challenges to cloud implementation for UK businesses
Cloud application usage and service adoption among UK organisations
The one application which is identified by most respondents as not suitable for cloud deployment is accounting and finance (39 %), perhaps due to data security concerns. Moreover, further data analysis in cloud adoption rate across organisations, realised that larger enterprises find disaster recovery, (ERP) and business process management applications (BPM) as the best fit for cloud migration. However, for smaller enterprises, the adoption of (non-mission critical) cloud-based applications mirrors their use of email messaging, desktop hosting and Customer Relationship Management (CRM) applications for collaboration. Remarkably, the lower cost and flexibility that cloud-based applications offer is ideal for small businesses, as they are agile and often run with teams that are spread over wide geographical regions. In essence, these applications are better suited for online delivery .
Vendor lock-in concerns and challenges in cloud migration
Response indicator suggest Lock-in is a deterrent to Cloud migration
Core risk factors of lock-in
UK organisations view on cloud lock-in
Business strategies for avoiding vendor lock-in
This section summarises both the desires and experiences of the participants who contributed to this study. Moreover, this section presents strategic approaches for mitigating the risks and challenges of lock-in in cloud migration.
Awareness of the commonalities among cloud providers
To refer back to the first research question of interest to business adopters stated in section 1.1. UK business decision makers are rightly concerned about the risks of being locked into a single cloud service provider and the implications of such a risk including not having a clear exit strategy. There is a need for these organisations to understand what the exit strategy looks like, even if it is unlikely that they will exit in the near future – besides, no company would want to buy into a service where they feel they had no alternative provider. In this connection, one possible strategy will require decision-makers to possess a comprehensive understanding of the heterogeneity that exist between cloud semantics and the cloud interfaces. This often requires an awareness of the commonalities (i.e. complexities and dependencies) among services offered by cloud providers and standards used. By clearly understanding this, organisations will realise how the cloud’s loose structure can affect data/application movability and security of data sent in it. This can be done by having an in-depth understanding of how data and application components are handled and transmitted in the cloud environment. When this is well understood and harnessed (at pre contractual phase), the benefits to the organisations become apparent (at post migration phase). Additionally, enterprises can be more interoperable and avoid vendor lock-in strategically by selecting vendors, platforms, or services that support more standards and protocols (as further discussed below in Section 4.1.3). This is essentially important in the vendor selection process as it enables organisations to maintain a favourable mix of cloud providers and internal support. These strategies can help organisations to form a plan for an efficient and effective migration and adoption process. Actually, having a clear understanding of the disparity between cloud semantics and service interfaces offered by different cloud vendors can help significantly to reduce the effects of vendor lock-in.
Substantial training and stakeholder engagement is necessary to develop an understanding and agree solutions on specific lock-in concerns [43–45]. Otherwise, cloud services offered to enterprises may not be properly assessed for potential lock-in risks before decisions are made to use the service . Moreover, the results in Fig. 6 indicate a general lack of understanding and awareness of lock-in problem in the cloud. The low response gained from participants who identified over dependence on a single cloud provider (35.1 %) and difficulty to move data back in-house or across to a different cloud provider (28.8 %) platform illustrates the unawareness of practitioners on the potential effect of cloud lock-in problem. To infer from this result, it appears the risk of dependency is a more significant barrier than data lock-in. This seems counter intuitive considering the practical challenges associated with the data lock-in when extending the use of cloud in the enterprise. However, the probable explanation is that presently most organisations are too reliant on cloud providers for operational and technical support , thus they fail to fully prepare to deal with unexpected and undesirable data lock-in issues in the cloud (referring to Fig. 10). As pointed out by Bradshaw et al. , lock-in will become more of an issue as the cloud computing market matures. In agreement, Lipton in  admits that the complexity and cost of switching (or porting) a cloud service to a different provider is often under-appreciated until it is too late. Therefore it can be claimed that as long as corporate data is not locked-in moving to another cloud provider is just a matter of enduring a switching cost. Such cost can be reduced by employing best practices such as choosing cloud providers that support: (i) the use of standardised APIs wherever possible; (ii) wide range of programming languages, application runtimes and middleware; (iii) as well as ways to archive and deploy libraries of virtual machine images and preconfigured appliances. Overall, these findings suggest respondents do not currently have sufficient understanding on possible technical and non-technical issues of lock-in that can occur in the cloud environment. Thus, it is recommended that organisations remain meticulous when making decisions towards the selection of vendors, taking into consideration potential difficulties associated with switching vendors. However, it is probable for organisations to suffer financial loss if they did not make a strategically correct vendor selection decision from the very onset.
Well-informed decision making
The study has found that for UK organisations, when it comes to evaluating the business risks of vendor lock-in for or against cloud migration, surprisingly, a vast majority (66.4 %) of respondents said making well-informed decisions before selecting vendors and/or signing the cloud service contract is an extremely important part of the decision-making process (refer to Fig. 11). This signifies that as cloud computing becomes more widely used for various applications across different industry sector[s] and size[s], UK businesses are finding it extremely important to understand ways to maximize benefits and minimize the risks of lock-in. In essence, this is particularly important given the plethora of vendors in the market place today, with each offering businesses proprietary cloud-based services and contracts that have different specification (and legal agreements). In regard to the interpretation of this finding, our study suggests that the vetting process for selecting vendors is a critical aspect for effective cloud migration with minimized risk of lock-in. Moreover, such finding exemplify the need for organisations to look beyond the vendor selection phase, and focus on constantly monitoring any development or changes in the cloud that may impact data security or hinder interoperability and portability – thus facilitating a lock-in situation. However, the findings (in Fig. 11) also reveal a gap in understanding, regarding how organisations should manage the risks of vendor lock-in. A sign of lack of understanding is explained by a smaller percentage (8.4 %) of participants identifying the need to build perceived lock-in risks into initial risk assessment. This is quite enlightening, in spite of the relevance of this strategy in the vendor selection phase. Possible interpretation of these may be attributed to the general lack of understanding and experience (on the part of IT and business managers) in respect of technical aspects of complex distributed cloud-based solutions.
Standards and cloud-based solutions
The impact caused by vendor lock-in problem due to lack of standards is what enterprises should be wary about when considering migration to cloud computing . Despite the number of studies in recent years underlining the high relevance of standards in cloud computing, unfortunately this study reveals that most UK organisations still lack a comprehensive understanding on the importance of standards in minimising lock-in risks. In fact, as pointed out by , there are two ways a business can achieve the full potential of cloud computing (i) either by changing providers according to their needs (ii) prioritising or simply combining different solutions to get the best of the breed services. However, this will require standards and interoperability to be supported by all providers, but it is often not the case. An informative example in this context is seen in research in , arguing that many cloud providers are concerned with the loss of customer that may come with standardisation initiatives which may flatten profits, and do not regard the solution favourable. Based on our research findings, from a business perspective, we suggest the following as key measures to improve customer retention and engender trust in enterprise cloud migration: 1) the quality of service (QoS) guarantee, 2) data protection and metadata ownership, 3) contract termination, as well as 4) data export functionality. Furthermore, as discussed in our previous study , in the absence of standardisation, UK businesses willing to outsource and combine a range of services from different cloud providers to achieve maximum efficiency, irrefutably, will experience difficulty when trying to get their in-house systems to interact with the cloud. Likewise, the lack of standardisation also brings disadvantages, when migration, integration or exchange of computer resources is required. This is consistent with the research findings presented in this paper (see Fig. 10). Unsurprisingly these issues were identified from a business perspective, considering the important role of standards in at least mitigating such concerns. Hence, business stakeholders’ should be aware that decisions to adopt or move resources to the cloud require adequate risk analysis for potential lock-in. Based on this analysis and the evidence in Fig. 10, we believe there are opportunities that exist for the regulatory and standard bodies to take the necessary action. One potential solution would be to standardise the APIs in such a way that businesses (or SaaS developers for example) could deploy services and data across multiple cloud providers. Thus, the failure of a single cloud provider/vendor would not take all copies of corporate data with it.
Cloud-specific standards are regularly proposed as a way to mitigate vendor lock-in and achieve portability and interoperability . It is expressed in  that many providers are concerned with customer churn rate that may come with standardisation. But according to , unless there is a well-accepted and widely used standard, it remains a questionable solution. Therefore as a partially adopted standard would represent a poor solution , many cloud vendors now support the creation and adoption of new standards by proposing them to standardisation groups. Clear examples of such cloud-specific standards are OASIS CAMP  for PaaS and TOSCA  for IaaS. Both specifications aim at enhancing the portability and interoperability of applications across different clouds. We review the two OASIS cloud-specific standards (TOSCA and CAMP) and their potential for dealing with the lock-in problem.
The Topology and Orchestration Specification for Cloud Applications (TOSCA) , is an emerging standard that enhances service and application portability in a vendor-neutral ecosystem. TOSCA specification describes a meta-model for defining IT services. This metamodels defines both the structure of a service (topology model of a service) and its operational aspects (such as how to deploy, terminate, and manage this service). Service templates are interpreted by a TOSCA-compliant environment (e.g. OpenTOSCA ), which operates the cloud services and manages their instances .
Managing cloud services requires extensive, mostly manual effort by the customers. Further, important cloud properties (such as self-service and rapid elasticity) can only be realised if service management is automated. In this aspect, TOSCA allows application developers and operators (DevOps) to model management best practices and reoccurring tasks explicitly into so-called plans (i.e. Workflows). TOSCA plans use existing workflow languages such as Business Process Model and Notation (BPMN) [57, 58] or the Business Process Execution Language (BPEL) . To increase portability, TOSCA allows service creators to gather into plans those activities necessary to deploy, manage, and terminate the described cloud service. TOSCA also enables a cloud service creator to provide the same plan or implementation artefact in different languages (e.g. a plan can include the same functionality twice – in BPEL and BPMN). An application ported to the cloud using TOSCA can be composed of services provided by different cloud providers and a user can decide to a specific service with a similar one from a different vendor.
Cloud Application Management for Platforms (CAMP) is an Oasis cloud-specific standard designed to ease the management of applications across platforms offered as a service (PaaS) . The CAMP standard defines a self-service management API that a PaaS offering presents to the consumer of the platform. The specified CAMP API provides a resource model to describe the main components of any platform offer. For instance, independent software vendors can exploit this interface to create tools and services that communicate with any CAMP-compliant cloud platform via the defined interfaces. Likewise, cloud vendors can also leverage these interfaces to develop new PaaS offerings, or adapt the existing ones, which would be compliant with independent tools. Thus, cloud users save time when deploying applications across multiple cloud platforms.
At present, the effort of deploying applications with vendor-specific tools across multiple PaaS cloud platforms is a non-trivial task. Developers and system operators often face the barrier of redeploying applications to other providers’ platform because tools are incompatible. However, this can be simplified using the CAMP interface common to both source and target platforms. To simplify the deployment efforts and support migration across multiple cloud platforms, CAMP defines the Platform Deployment Package (PDP). A PDP is an archive containing a plan file together with application content files such as web archives, database schemas, scripts, source code, localization bundles, icons etc. This archive can be used to move an application and its components from platform to platform, or between a development environment and an operative target platform.
Portable hybrid IT environment
To infer from discussion in the preceding section, the vendor lock-in risk is a valid concern for organisations migrating to the cloud. Considering that lock-in is undesirable, and cannot be eradicated, then how can businesses mitigate its associated risks when migrating to the cloud? From a portability perspective, it becomes critical that organisations’ data is sharable between providers, since without the ability to port data or application, it would become simply impossible to switch cloud service providers at all [60, 61]. Cloud portability is a salient consideration to enable organisations migrate a cloud-deployed asset to a different provider and it is a direct benefit of overcoming vendor lock-in . Generally, reconfiguration of systems and applications to achieve interoperability is time/resource consuming and may require a considerable amount of expertise, which could be challenging for some organisations. Therefore, from a business perspective, portability should be seen as a key aspect to consider when selecting cloud providers as it can both help mitigate lock-in risks, and deliver business benefits. This means allowing applications, systems and data components to continue to work correctly when moved between cloud providers’ (hardware and/or software) environments . Indeed, the need for organisations to easily switch cloud providers with their data alongside have been a consistent theme throughout the discussion presented hitherto.
Data portability is usually of most concern in a SaaS, since in these services, the content, data schemas and storage format are under the control of the cloud service provider. The customer will need to understand how the data can be imported into the service and exported from the service. Further, SaaS applications also present interoperability barriers. The lack of adoption of standard APIs for SaaS applications makes switching from one SaaS application to another difficult as it involves a change in the interface. This also applies to any application or system belonging to the cloud service customers that use APIs offered by the SaaS application. Data synchronization is another concern, encountered in cloud interoperability and not in data portability . To further substantiate this argument, we elucidate on the need for a portable hybrid environment by highlighting two main categories of portability scenarios encountered in current cloud service market: 1) porting legacy applications or data; and 2) porting cloud native applications or data. In scenario 1, due to dependence on particular technologies and data organisation, the legacy software assets currently require a significant amount of effort to be invested in porting them into the cloud environment. Whereas in scenario 2, even when applications and data are written from scratch for a cloud environment, they are usually locked and targeted for a specific cloud . Thus, the effort of porting in a different cloud is usually a onetime exercise . However, in both scenarios, the main problem is that there must be a capability to retrieve customer data from the source cloud service and also a capability to import customer data into the target cloud service. Thus, data portability is based on import and export functionality from cloud data services for data structures. This is commonly done through the existence of some API (or web interface) associated with the cloud service – it may be a generic API or a specific API, unique to the cloud service.
In light of such challenges,  claims that ensuring data portability is a major challenge for enterprises due to the large number of competing vendors for data storage and retrieval. The ability to move data also emerges as a management issue for cloud computing. Therefore, in response to the question of data movability, it is important to note that the API used for the source service may not be the same as the API used for the target service and that different tooling may be required in each case. The main aspects of data portability are the syntax and semantics of the transferred data. The syntax of the data should ideally be the same for the source service and the target service. However, if the syntax does not match (i.e., the source may use JSON syntax, but the target may use XML), it may be possible to map the data using commonly available tools. If the semantics of the transferred data does not match between the source and target services, then data portability is likely to be more difficult or even impossible. However, this might be achieved by the source service supplying the data in exactly the format that is accepted by the target service. Therefore, on a long term, achieving data portability will depend on the standardization of import and export functionality of data and its adoption by the providers. The aim is to minimize the human efforts in re-design and re-deployment of application and data when moving from one cloud to another. To this end, it becomes vital that any enterprise cloud migration project can be carried out without any disruption to data availability since data is an organisation’s most critical, ubiquitous, and essential business asset .
This paper confirms that UK organisations are increasingly adopting cloud services, and it also reveals that they have been progressively migrating services perceived as non-mission critical (i.e. where lock-in and security risks seem lower) such as general purpose applications suites, email and massaging applications. This strategy used allows the organisations to get a feel for how the cloud environment works before fully committing themselves. However, this is generally not the case for organisations surveyed. A lesser minority (see Fig. 7) seem to have adopted core systems in the cloud (e.g. ERP and CRM), including accounting and finance applications. At present, as indicated by the Cloud Industry Forum , cloud providers or vendors are better placed, if they ensure such capabilities like the trial or “test and see” strategy (whether completely free or paid for time limited pilot) is made available within their go-to-market strategy. It is worth underlining that, free of charge or low cost does not necessary mean free of lock-in risks or low proprietary lock-in risk. Organisations must be cautious of potential areas of lock-in traps and take adequate measures to mitigate their exposure; e.g. choice of operating environment, programming models, API stack, data portability etc. Further, businesses should take heed of other legal, regulatory, or reputational risks that may exist. This is vitally important if the data involved is not just for testing, but constitutes real corporate data, perhaps even confidential or personal data. It is interesting to note that 28 % of organisations surveyed have already adopted the cloud model for hosting accounting and finance applications (refer to Fig. 7).
On a conclusive note, it is believed that the discussions presented herein, above all, indicate hypothetically that vendor lock-in risks will reduce cloud migration, which in turn affects the widespread adoption of cloud computing across organisations (small or large). Thus an emerging research agenda arises as to investigate: 1) ways to come up with multijurisdictional laws to support interoperability and portability of data across cloud providers platform, along with effective data privacy and security policies; and 2) novel ideas of avoiding vendor dependency on the infrastructure layer, platform, and through to the application layer as lock- cannot be completely eliminated, but can be mitigated. However, these require, not just tools and processes, but also strategic approaches – attitude, confidence, comfort, and enhanced knowledge of how complex distributed cloud-based services work. Sometimes the inhibitor to cloud adoption and migration in most organisations, in principle, are the attitude, knowledge, and confidence of the paramount decision makers. Thus, for most organisations today, the challenge is clear that they simply do not understand potential effect of lock-in to the business. While the business benefits of cloud computing are compelling, organisations must realise that achieving these benefits are consistent with ensuring the risks of vendor lock-in and security implication of such risk is clearly understood upfront. When identified, such risks should be mitigated with appropriate business continuity plans or vendor selection, prior to migration to the cloud.
Potential of DevOps tools for avoiding vendor lock-in
Issues with cloud lock-in surpass those of technical incompatibility and data integration. Mitigating cloud lock-in risks cannot be guaranteed with a selection of individual open (technology-centric) solutions or vendors. Instead, the management and operation of cloud services to avoid lock-in should be addressed at a standardised technology-independent manner. In this respect, we present a concise discussion on the potential of DevOps  and of tools (such as Chef, Juju and Puppet) that support interoperable management.
DevOps is an emerging paradigm  to eliminate the split and barrier between developers and operations personnel. Automation underlies all the practices that constitute DevOps. The philosophy behind DevOps is to bring agile methodologies into IT infrastructure and service management . This is achieved by implementing the concept of “Infrastructure as Code” (IaC) using configuration management tooling. An automation platform is what provides the ability to describe an infrastructure as code. IaC automations are designed to be repeatable, making the system converge to a desired state starting from arbitrary states [67, 68]. In practice, this is often centred on the release management process (i.e., the managed delivery of code into production), as this can be a source of conflict between these two groups often due to different objectives . DevOps approaches can be combined with cloud computing to enable on-demand provisioning of underlying resources (such as virtual servers, database, application middleware and storage) in a self-service manner. These resources can be configured and managed using DevOps tools and artifacts. As a result, end-to-end deployment automation is effectively enabled by using the DevOps approaches in cloud computing environments . Tools are emerging that address building out a consistent application or service model to reduce the proprietary lock-in risks stemming from customized scripting while improving deployment success due to more-predictable configurations. Today, several applications provisioning solution exists that enable developers and administrators to declaratively specify deployment artefacts and dependencies to allow for repeatable and managed resource provisioning . Below, we review some DevOps tools among the currently available ones that may help enterprises simplify their application release circle.
Chef is a configuration management framework written in Ruby . Chef uses an internal Domain Specific Language or DSL to express configurations. Configuration definitions (i.e. ruby-scripts) and supporting resources (e.g. installation files) in Chef are called recipes. These recipes are basically scripts written in DSL to express the target state of a system . Chef manages so called nodes. A node is an element of enterprise infrastructure, such as a server which can be physical, virtual, in the cloud, or even a container instance running a Chef client . Chef provides APIs to manage resources on a machine in a declarative fashion. Chef recipes are typically declarative (resources which define a desired state) but can include imperative statements as well. Combining a Chef system together with cloud infrastructure automation framework makes it easy to deploy servers and applications to any physical, virtual, or cloud location. Using Chef, an organization can configure IT from the operating system up; applying system updates, modifying configuration files, restarting any necessary system services, applying and configuring middleware and applications.
Puppet is an open source configuration and management tool implemented in Ruby  that allows expressing in a custom declarative language using a model-based approach . Puppet enables deploying infrastructure changes to multiple nodes simultaneously. It functions the same way as a deployment manager, but instead of deploying applications, it deploys infrastructure changes. Puppet employs a declarative model with explicit dependency management. One of the key features of Puppet is reusability. Modules can then be reused on different machines with different operating systems. Moreover, modules can be combined into configuration stacks.
Juju is a cloud configuration, deployment and monitoring environment that deploy services across multiple cloud or physical servers and orchestrate those services . Activities within a service deployed by Juju are orchestrated by a Juju charm, which is a deployable service or application component .
In summary, as applications evolve to function in the cloud, organizations must reconsider how they develop, deploy, and manage them. While cloud computing is heavily used to provide the underlying resource, our review shows that DevOps tools and artefacts can be used to configure and manage these resources. As a result, end-to-end deployment automation is efficiently enabled by employing DevOps approaches in cloud environments. But, cloud providers such as Amazon and cloud frameworks such as OpenStack provide cost-effective and fast ways to deploy and run applications. However, there is a large variety of deployment tools and techniques available . They differ in various dimensions, most importantly in the metamodels behind the different approaches. Some use application stacks (e.g., AWS OpsWorks2 or Ubuntu Juju) or infrastructure, others use lists of scripts (e.g., Chef run) or even PaaS-centric application package descriptions such as Cloud Foundry manifests. This makes it challenging to combine different approaches and especially to orchestrate artefacts published by communities affiliated with the different tools, techniques, and providers. Nevertheless, these solutions are highly desirable because some communities share a lot of reusable artefacts such as portable scripts or container images as open-source software . Prominent examples are Chef Cookbooks, Puppet modules, Juju charms, or Docker images. Adopting a configuration management tool implies a significant investment in time and/or money . Nevertheless, before making such an investment, an informed choice based on objective criteria is the best insurance that an enterprise has picked the right tool for its environment, as the focus is on deploying predefined application stacks across several (virtual or physical) machines.
Discussion and conclusion
In this paper a comprehensive analysis of vendor lock-in problems was discussed and the impact to companies as a result of migration to cloud computing was explored. A survey was conducted and revealed that the cloud paradigm has greatly impacted on many organisations subsequent to migrating IT and business applications to the cloud due to vendor lock-in. In fact, the study has shown that, while organisations are eager to adopt cloud computing due to its benefits, there is equally an urgent need for avoiding vendor lock-in risks. Moreover, the results of our study have highlighted customers’ lack of awareness of proprietary standards which prohibit interoperability and portability when procuring services from vendors. The complexity and cost of switching providers is often under-appreciated until implementation. Business decision makers are often unaware of how to tackle this issue. Our findings offer cloud computing consumers, service providers, and industry practitioners a better understanding of the risk of lock-in embedded in the complex, technologically interdependent and heterogeneous cloud systems. In this respect, our research points to the need for more sophisticated policy approaches that take a system-wide perspective to alleviate the current vendor lock-in problem which affects interoperability and portability. Furthermore, our findings show that within many organisations in the study, a lack of clarity on the problem space of vendor lock-in still pervades. This lack of knowledge poses a significant barrier to obscure the potential effect the vendor lock-in problem could have on enterprise applications migrated to and operating in cloud platforms. Hence, to be protected against such risks when migrating to the cloud environment, companies require standards, portability, and interoperability to be supported by providers. However, this is currently difficult to achieve as explored in this paper. Fundamentally, the difficulty is attributed to the vendors’ APIs which control how cloud services are harnessed, as cloud APIs are not yet standardized, making it complex for customers to change providers. Some cloud providers are concerned with the loss of customers that may come with standardisation initiatives which may then flatten their profits and do not regard the solution favourable. Therefore, we propose the following strategic approaches to address the issues: (i) create awareness of the complexities and dependencies that exist among cloud-based solutions; (ii) assess providers’ technology implementation such as API and contract for potential areas of lock-in; (iii) select vendors, platforms, or services that support more standardised formats and protocols based on standard data structures; and (iv) ensure there is sufficient portability. In our future work, we will explore interoperability and portability constraints which affect enterprise application migration and adoption of SaaS clouds.
The research leading to these results is supported by Bournemouth University (DEC) Doctoral Scholarship funding. Additionally, the authors would like to thank the Faculty of Science and Technology for providing additional financial support to enhance the quality of this manuscript.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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