As IT infrastructure rapidly shifts to cloud-based environments, the complexity and challenges of middleware management continue to grow. Companies operating distributed applications across diverse infrastructures—from on-premises to public cloud—are increasingly adopting multi-cloud and hybrid cloud architectures. However, managing the unique configurations and operational methods of each cloud platform in an integrated manner presents significant challenges. Maintaining consistent middleware management and operation in such environments demands substantial time and effort.

Additionally, the proliferation of containers and microservice architecture (MSA) is making services more dynamic and complex. Businesses are burdened with monitoring middleware in real time, optimizing performance, and responding swiftly to failures. The challenge today is to overcome this growing complexity while simultaneously maximizing cloud flexibility and maintaining the stability and efficiency of middleware—a critical task for many enterprises.

The widespread adoption of cloud and advancements in virtualization technologies have transformed IT infrastructure environments, with many industries now relying on cloud-based MSA and containerized solutions. While these modern infrastructures have streamlined resource management by reducing dependency on physical infrastructure, they have also broadened monitoring scopes, making real-time system status checks and fault point identification increasingly difficult. Therefore, it is essential to adopt monitoring tools that can comprehensively grasp system status and fault points across different areas.

Modern IT environments, encompassing on-premises, hybrid cloud, and containerized systems, are becoming increasingly complex. This makes automating business workflows essential. Unlike the centralized batch models of the past, today's businesses require automated workflows for high-frequency distributed systems and online-integrated tasks. The adoption of reliable business process automation solutions is now key to reducing operational costs and ensuring high service availability. Against this backdrop, traditional batch environments not only consume considerable time and cost in reallocating resources or rescheduling tasks, but also pose various risks such as task omissions or version mismatches.

Over the past decade, many companies have shifted their business models from offline to online. The COVID-19 pandemic, in particular, led to a dramatic surge in consumer online activity, prompting companies to increase their investment in digital advertising. Additionally, the rise of diverse advertising platforms and the growing importance of data-driven marketing have heightened competition among advertisers.

In this environment, advertisers are actively adopting a variety of AdTech solutions to gain a competitive edge in the market. Optimized ad execution enables advertisers to manage costs more efficiently, while real-time monitoring and analysis of ad campaign performance allow for quick strategic adjustments. Furthermore, automating ad operations eliminates unnecessary time and labor costs, enabling teams to focus on more productive tasks.

Until now, we have ​benefited greatly ​​​on Web2-based services​.​​ However, as technology advances, the limitations and ​inconveniences ​​of Web2 have become increasingly apparent. From a system perspective, issues such as centralized data governance, security vulnerabilities, and privacy concerns have driven the emergence of blockchain-based Web3 technology as a solution. Globally, governments and enterprises are actively preparing for the Web3 ecosystem by developing and launching services such as virtual asset platforms, central bank digital currencies (CBDC), tokenized securities systems, decentralized identity (DID)-based mobile IDs, and digital wallets.

When companies provide Web3 services, two important factors are a clearly defined business value and the implementation of technology that aligns with the Web3 ecosystem. Companies must be able to build a highly robust system by thoroughly checking all aspects, including: the suitability of the solution as an infrastructure management tool capable of continuous operation; Web3 wallet security design from an infrastructure transition perspective; stable solution support from a service perspective; and flexible interoperability with other platforms. LG CNS designs tailored Web3 systems optimized for each client’s environment and collaborates closely with clients to plan services that align with their business objectives. We integrate the latest technology trends into customized solutions and ensure a stable, seamless system transition.