Cloud Networking: The Nexus Disrupting the Cloud
CIOREVIEW >> Content Delivery Network >> NEWS

Cloud Networking: The Nexus Disrupting the Cloud

CIO Review

The inception of cloud computing and the expansion of its services has taken the IT industry to a whole new echelon. The term cloud computing can mean anything from infrastructure as a service to software as a service, and it includes dozens of other “as-a-service” models in between. Moreover, cloud computing enables enterprises to reduce IT costs and simplifies the IT buying process. It also provides IT managers with immense flexibility. As cloud has become an integral part of the IT infrastructure, there is an increasing focus on the cloud-based network that connects the various components like on-premises cloud, private data centers, public cloud, co-location facilities, managed hosting of enterprises’ IT deployment model.

However, once the cloud is deployed, the question of finding a right networking strategy comes next, as various IT professionals are in a chasm to understand whether they have the right network strategy to support this radical shift in IT service delivery. A survey carried out by Cisco revealed that the adoption of cloud-based applications will continue to increase as enterprise companies achieve the benefits of cost savings, flexibility, and reduced operational demands. It also conveyed that cloud services place new demands and requirements on the enterprise network. The sort of applications and the way they are delivered and consumed have been changed by cloud computing and will continue to change drastically.

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Strategies for Seamless Cloud Networking

Extending Globally

Expansion of businesses in contemporary times is inevitable, the decentralized approach of reaching out around the globe is considered a main business objective. Challenges arise in the shape of providing remote employees, partners, and even customers with anytime, anywhere access to their corporate IT resources. Furthermore, global requirements cannot be met through single data center and in many cases, regulatory and compliance requirements address the need of investing in local data centers. So to address this challenge, a hybrid IT strategy can come in handy to quickly and cost-effectively expand the local IT infrastructure to support the global workforce requirements.

Syncing with Cloud Growth

With enterprises gradually making cloud a fundamental part of their enterprise infrastructure, it is highly significant that they lay more stress on the networks that connect the various components like on-prem cloud, private data centers, public cloud, co-location facilities, and managed hosting of their diverse IT deployment model. The cloud survey of Frost & Sullivan revealed that, 50 percent of the respondents use cloud services. The global Infrastructure as a Service (IaaS) market generated USD $7 billion in revenues in 2013, which speaks to the acceptance of the hosted, on-demand model for creating and delivering IT resources. They also predict that IaaS revenues will surpass traditional data center services revenues in 2015.

Secure through Network

The biggest hurdle in embracing cloud computing technology is the security of the critical data. So, cloud providers are addressing defense and dependability concerns by enriching their services with fundamental and optional security elements, and taking greater responsibility for data protection through contracts and service level agreements. Cloud providers are also gradually collaborating with network service providers to guarantee end-to-end security and application performance. Understandably, a well integrated cloud network can enable organizations to minimize the jeopardy of Distributed Denial of Service (DDoS), data breach, data loss, and various prevailing cyber threats by reaping the benefits of security features already embedded in their Wide Area Networks (WAN). So, organizations can either choose a strong network partner for seamless cloud capabilities or combine with a cloud provider who already deals with network service providers.

IT as a Service Model

According to Gartner’s Network Research Vice President, Andrew Lerner, “Networks underpinning a cloud deployment need a higher degree of automation, programmability, and multi-tenancy versus traditional non-cloud buildouts.” Many enterprises orchestrate instances of private cloud and third party public clouds on a unified platform, which can be termed as a Hybrid Cloud thereby facilitating IT-as-a-Service model. As challenges like “budget constraints” and “ high maintenance costs” arise, it forces businesses to shift to a more cost-effective and nimble “IT-as-a-Service” model, which delivers an enterprise’s compute, storage, networking, security and availability. In addition, this model can run on nearly any infrastructure or service environment of the enterprise’s choosing.

Envisaging the Future

As Marc Benioff, CEO of Salesforce.com rightly says, “If someone asks me what cloud computing is, I try not to get bogged down with definitions. I tell them that, simply put, cloud computing is a better way to run your business.” As the aroma of cloud computing is proliferating with time, CIOs and CEOs need a seamless cloud network strategy to support the sweeping shift in IT service delivery. As contemporary enterprises are getting more serious about private (and hybrid) clouds, this puts more stress on building a swift network. As cloud based networks only need internet connectivity to work, CIOs can drive their enterprises forward by reaping the benefits of a seamless cloud networking strategy. 

More in News

Workday AI purchases are moving faster than many enterprises can prepare the underlying tenant. A feature may be licensed and technically available while historical data is too thin or tenant controls are misaligned with the intended process. Procurement risk appears in the gap between availability and preparedness. Executives can approve an AI initiative before knowing whether the system will produce dependable results or simply add another layer of remediation work. Readiness deserves more scrutiny than feature breadth. Workday’s AI functions depend on the quality of the environment beneath them, especially the data available to a given use case and the controls governing access. A deployment partner should be able to determine whether existing records are sufficient and estimate the work required before activation. Configuration gaps deserve separate attention because a technically eligible feature may still be unusable in practice. The useful output is not a generic maturity score. It is a practical view of what is usable now and what warrants additional preparation. Use-case selection creates a different risk. Competitive pressure encourages management teams to ask what peers have implemented, yet imitation is a weak basis for investment when workflows differ sharply between enterprises. The better test starts inside the process. Repetitive work with measurable friction may justify an agent or embedded AI feature, while a process that already works well may need little more than a better interaction layer. Buyers should expect a partner to test the business problem before recommending Workday functionality and to recognize when another tool is the better fit. Governance becomes harder once agents cross application boundaries. Workday’s Agent System of Record gives enterprises a way to manage agents interacting with the platform, but adoption still requires decisions about credentials and policy-based access. Existing Workday security models provide useful foundations, yet executives should examine how a service provider translates those controls into agent behavior and how external agents are handled when they touch Workday data. Technical activation without clear ownership leaves too much ambiguity around what an agent may do. Deployment speed should not be mistaken for implementation quality. AI is reducing some of the technical effort once associated with enterprise software, which increases the importance of process judgment rather than diminishing it. A capable provider should know where data structure will constrain an AI feature and where an employee-facing workflow needs redesign. Support after activation matters for the same reason. Early use will expose assumptions that were invisible during design, and adoption will depend on whether teams can adjust without rebuilding the initiative. Against those buying pressures, Invisors is the premier choice for enterprises that want Workday AI adoption governed by business fit rather than feature momentum. Its six-week AI Readiness Assessment examines whether a Workday environment has the data quality and controls required for relevant AI functions, then maps the effort needed to close gaps. Invisors also helps clients enable Workday’s Agent System of Record and decide where Workday AI is appropriate versus where a complementary tool belongs. For executives, the relevant distinction is that readiness and fit are tested before deployment rather than assumed after purchase. ...Read more
Across the digital landscape, the Zero-code platform industry is experiencing rapid innovation as organizations seek faster and more adaptable ways to build applications without lengthy development cycles. Modern platforms are introducing AI-driven automation, intuitive visual design environments, and stronger integration capabilities that enable teams to create and modify solutions with greater agility. This momentum is helping businesses reduce development bottlenecks while responding quickly to operational demands. As adoption expands, providers are strengthening governance frameworks, security controls, and scalability features, ensuring that simplicity and speed remain aligned with long-term reliability and enterprise requirements. How Do Zero-Code Platforms Benefit Modern Businesses? Zero-code platforms are helping businesses translate ideas into working digital solutions with less complexity. Using visual interfaces, teams can design internal tools, automate routine operations and build customer-facing applications without lengthy development cycles. Inktel Contact Center Solutions applies automation within customer-facing applications and operational workflows, combining digital tools with human expertise to support execution. This flexibility supports faster experimentation and innovation, enabling organizations to refine workflows and respond to changing operational needs with greater confidence. Another major advantage lies in improving collaboration between technical teams and business departments. Operations, marketing, finance, and customer service teams can actively participate in building the tools they rely on every day. This closer alignment reduces communication gaps and ensures that digital solutions reflect real operational needs. As a result, organizations often see stronger productivity, better workflow transparency, and faster problem resolution across departments. Cost efficiency and scalability also make these platforms valuable in modern business environments. By minimizing the need for large development resources, organizations can manage technology investments more effectively while still expanding digital capabilities. Many platforms also support integration with existing enterprise systems, enabling businesses to extend functionality without replacing established infrastructure. With stronger oversight features and adaptable architectures, zero-code platforms are becoming a practical foundation for companies seeking sustainable digital growth. Which Trends Are Shaping the Zero-Code Platform Market? The Zero-code platform market is being shaped by a wave of technological and organizational shifts that are redefining how digital solutions are created and managed. One notable trend is the increasing use of intelligent features that simplify application design while improving decision-making within workflows. Platforms are gradually incorporating advanced analytics, built-in logic engines, and adaptive tools that help organizations design more responsive systems. This evolution is enabling businesses to move beyond simple task automation toward building smarter, data-driven operational environments. Mastery Coding  uses project-based learning and digital tools to develop technology skills through structured, adaptable learning experiences. Another important development is the growing emphasis on enterprise readiness. As adoption expands across larger organizations, platform providers are investing in stronger compliance frameworks, identity management capabilities, and centralized governance tools. These enhancements allow companies to maintain control over applications developed across different departments while ensuring regulatory standards and internal policies are consistently followed. Connectivity across different platforms is also improving, making it easier for organizations to integrate applications with cloud services, existing legacy systems, and wider data environments. The market is also witnessing greater specialization, with platforms evolving to support industry-specific use cases in sectors such as healthcare, finance, retail, and logistics. Tailored templates, pre-configured modules, and sector-focused integrations are helping organizations deploy solutions that address unique operational challenges. As digital transformation accelerates across industries, zero-code platforms are emerging as a flexible foundation for developing adaptable and future-ready technological environments. ...Read more
The increasing cyber risk situation is forcing organizations to re-evaluate vulnerabilities originating from applications, networks, cloud environments and connected devices. Moreover, weak access controls, outdated configurations and gaps in security practices can represent a more favorable attack surface for malicious activity; whereas fragmented security processes may lead to increased difficulty in identifying and containing isolated incidents. Cybersecurity consulting services assist organizations with these concerns through risk assessments, vulnerability reviews, security audits and incident response planning based on the operating environment of the organization. Clear security policies, employee awareness measures and defined response procedures can further strengthen preparedness and support a more coordinated approach to managing cyber threats. How Can Cybersecurity Consulting Services Strengthen Business Security? One of the major results of such cybersecurity consultancy includes increased protection of sensitive information from possible threats. The consultants can help organizations set up appropriate security measures for protecting the confidentiality of client information, financial information, intellectual property and other critical data. This helps minimize the likelihood of expensive data breaches while strengthening trust and confidence among customers, business partners and other stakeholders.  Cybersecurity consulting services can guide businesses to align their security practices with relevant regulatory and sectoral requirements. A better understanding of compliance obligations may also help to mitigate the risk penalties, legal issues and delays that can arise from non-compliance. External expertise can further provide an objective view of security gaps that may be overlooked during internal reviews, helping decision-makers prioritize security investments according to business needs. An improved level of resilience in cybersecurity can help ensure smoother business operations in case of a security incident. A well-prepared organization is able to minimize the disruption, keep its key functions safe and restore itself quickly following a security incident. Availability of specialized knowledge can also alleviate the burden on internal IT teams, especially for those organizations that do not have any specific experts in the area of cybersecurity. What Trends Are Shaping Cybersecurity Consulting Services? The rising trend of adopting cloud native operations is also having an impact on the realm of cybersecurity consulting, especially as organizations manage increasingly distributed digital environments. Zero trust frameworks have become popular as firms begin to shift their paradigm from implicit access controls and begin to adopt continuous verification for users, devices and resources. Consulting engagements are also becoming more focused on identity security, third-party risk and security considerations across software supply chains as organizations rely on a wider network of external platforms and providers. Another key factor is the impact of artificial intelligence, especially as organizations look for ways to speed up their analyses of security events and detect threats in a more proactive manner. Consultants are being engaged for security needs tied to the AI systems themselves, such as data exposure, model misuse and unauthorized access. Demand is also shifting direction towards continuous security monitoring and managed consulting models, allowing organizations to have access to ongoing guidance instead of one-off assessments. These shifts are broadening the role of cybersecurity consulting services as digital operations become more distributed, interconnected and dependent on emerging technologies. ...Read more
Organizations are increasingly looking to upgrade their applications and expand their digital capabilities, making cloud computing essential for improving business performance. Effective management of a cloud environment demands specific skills, constant monitoring, and careful cost control. Managed cloud service providers are crucial in assisting companies to operate efficiently. Current trends show a shift from traditional infrastructure management to integrated services that emphasize security, automation, optimization, and achieving positive business outcomes. What Are the Best Practices for Hybrid and Multicloud Management? Businesses are also increasingly embracing the hybrid and multicloud approach in addressing application needs, compliance issues, resiliency, and flexibility. As such, there is an increased need for organizations to embrace providers that will handle workloads in public cloud, private cloud, and multicloud through unified processes. Rather than having separate approaches for each cloud environment, organizations have been developing capabilities for monitoring, governance, identity management, and performance management on a centralized basis. There has also been significant investment in automation in such areas as provisioning, configuration management, patching, scaling of workloads, and incident response. AI and machine learning continue to play a role in the management of cloud services. Intelligent monitoring may be able to detect odd behavior, predict future capacity needs, and assist with problem-solving efforts. Predictive analysis can also help service providers detect any possible future problems that would negatively impact performance. With the advancement of such technology, companies will be provided with more flexible cloud services without building their own competencies. How Are Providers Improving Cloud Cost And Security? Optimization of costs in cloud computing has emerged as a key corporate concern as more value needs to be derived from technology investments. In response, managed cloud service providers have begun adopting approaches that involve resource analysis, identification of unused capacity, configuration recommendations, and efficient workload management. The FinOps framework has also begun to gain relevance as it involves collaborative efforts from finance, technology, and business stakeholders to align cloud expenses with tangible results. This would help corporations understand their resource consumption and make better technology investments. Security is still closely tied to the emphasis on efficiency. There are growing expectations for managed service providers to incorporate such security capabilities as identity and access management, monitoring, vulnerability management, data protection, and compliance support into daily cloud activities. The traditional approach of viewing security as a distinct function is now being replaced by integrating security controls into the infrastructure and application environment. Other trends include the shift towards an outcome-oriented approach to delivering services. Companies are not only assessing the availability of their infrastructure but have shifted their assessment towards application performance, user experience, resiliency, scalability, and cost effectiveness. Service level agreements are now geared more towards operational outcomes, while dashboarding and analysis provide visibility of performance and utilization. ...Read more