Mastering Integration Platform to Cloud-Hosted Solutions

Lecture Notes in Computer Science, 2013

So far, asynchronous messaging has proven to be the best strategy for enterprise application integration (EAI) success. However, building and deploying messaging solutions causes several problems for developers and new technologies and computing paradigms as cloud computing demand for new solutions. There are more than sixty enterprise integration patterns that are designed to effectively develop messaging solutions for enterprises. The tutorial introduces the visual notation framework to describe large-scale integration solutions across different systems and technologies. This includes examples covering a variety of different integration styles and techniques. In a case study we illustrate the application of the patterns in practice and review existing and emerging standards. Also we try to shed light into the future of EAI. In particular cloud integration is an upcoming trend which is discussed in the tutorial, addressing advantages and limitations of this and other modern EAI strategies and architectures. Looking at open-source solutions for enterprise service buses and messaging systems, we also provide practical advice on designing code that connects an application to a messaging system. This provides information to help the practitioner to design EAI or cloud integration solutions by applying the introduced knowledge.

Lecture Notes in Computer Science, 2014

In recent years, we have seen the rapid emergence of a plethora of Cloud providers with individual infrastructures, APIs and application description formats. This heterogeneity has resulted in vendor lock-in, which reduces consumer flexibility in terms of negotiation power, reaction to price increases and freedom to change provider. Achieving interoperability between Clouds is a means of addressing this issue. To realise this, the use of open standards has been suggested, but the existing standards are focused mainly on portability instead of interoperability. Besides, this heterogenous nature of Clouds makes inter-Cloud monitoring to facilitate interoperable Cloud management difficult. In this paper, we present a novel integrated approach to achieve interoperability between Clouds and to facilitate the management of service provisioning using multiple Clouds. The approach is based on the integration of a holistic message bus system with monitoring techniques. We present the design and implementation descriptions, and based on a use case scenario, we demonstrate a practical realisation of our approach.

International Research Journal of Modernization in Engineering Technology and Science, 2024

The rapid adoption of cloud computing has led organizations to leverage multiple cloud platforms to address their diverse business and IT requirements. Managing and integrating these multi-cloud environments presents significant challenges, including ensuring seamless data and application portability, maintaining consistent security and governance policies, and orchestrating the deployment and scaling of resources across cloud providers. This paper explores the key strategies and best practices for effective multi-cloud management, enabling organizations to unlock the full potential of their cloud investments while mitigating the complexity of a heterogeneous cloud landscape. The findings suggest that a comprehensive multi-cloud management approach, encompassing cloud integration, orchestration, and governance, is essential for organizations to achieve the flexibility, scalability, and cost-optimization benefits of a multi-cloud architecture.

IJETRM Journal, 2024

In a contemporary enterprise, flexibility, scalability and resilience have become a strategic imperative by adopting multi-cloud and hybrid application architecture. Nevertheless, challenges related to data integration of multifarious platforms, services, and data sources pose serious issues such as data silos, interoperability, and complexity. In this paper, I look closely at the potential behind SAP technologies, especially the SAP Business Technology Platform (SAP BTP) and SAP Integration Suite, which allow fluid integrations across multi-cloud and hybrid environments. The research will thoroughly discuss SAP integration tools like Cloud Integration (CPI), API Management, Event Mesh, and Open Connectors, through which organizations can initiate real-time data orchestration, automation of processes, and integration across platforms. The paper also investigates some advantages, challenges, and security risks of implementing SAP in distributed IT ecosystems, as confirmed in case studies and industry use cases. Results point out that the cloud-agnostic, modular architecture offered by SAP offers scalable and secure infrastructure to integrate heterogeneous applications and increase agility and speed of digital transformation. This research provides strategic suggestions to IT leaders and future research directions in AI-driven integration, semantic interoperability, and performance benchmarking in the hybrid cloud context.

arXiv (Cornell University), 2019

The stability and performance of Cloud platforms are essential as they directly impact customers' satisfaction. Cloud service providers use Cloud monitoring tools to ensure that rendered services match the quality of service requirements indicated in established contracts such as service-level agreements. Given the enormous number of resources that need to be monitored, highly scalable and capable monitoring tools are designed and implemented by Cloud service providers such as Amazon, Google, IBM, and Microsoft. Cloud monitoring tools monitor millions of virtual and physical resources and continuously generate logs for each one of them. Considering that logs magnify any technical issue, they can be used for disaster detection, prevention, and recovery. However, logs are useless if they are not assessed and analyzed promptly. Thus, we argue that the scale of Cloud-generated logs makes it impossible for DevOps teams to analyze them effectively. This implies that one needs to automate the process of monitoring and analysis (e.g., using machine learning and artificial intelligence). If the automation will witness an anomaly in the logs -it will alert DevOps staff. The automatic anomaly detectors require a reliable and scalable platform for gathering, filtering, and transforming the logs, executing the detector models, and sending out the alerts to the De-vOps staff. In this work, we report on implementing a prototype of such a platform based on the 7-layered architecture pattern, which leverages micro-service principles to distribute tasks among highly scalable, resources-efficient modules. The modules interact with each other via an instance of the Publish-Subscribe architectural pattern. The platform is deployed on the IBM Cloud service infrastructure and is used to detect anomalies in logs emitted by the IBM Cloud services, hence the dogfooding. In particular, we leverage IBM Cloud Functions to deploy the computing modules, IBM Event Streams to establish communication among the modules, and IBM Cloud Object Storage and IBM Cloudant for persistent storage. The prototype efficiency is promising: it takes the platform 17 seconds or less from the point of receiving a new log record to emitting an alert to the IBM Cloud DevOps team.

status: published

Abstract. Web services technology promises well for the future of Business-to-Business integration (B2Bi). However, this technology is still in its infancy and the community is facing many challenges. In this paper we discuss some important B2Bi issues and look how web ...

Organizations pursue digital transformation (DX) to gain a competitive advantage through increased productivity and business agility. Application modernization (AM) is a key step in DX journeys, and enterprise organizations are prioritizing AM in their DX journeys, with agility, competitive advantage, and lower total cost of ownership (TCO) being primary drivers. Enterprises are also facing challenges in their AM initiatives; key inhibitors include the lack of in-house expertise, mismatched expectations, and security concerns.

Service-Driven Approaches to Architecture and Enterprise Integration

Software Architecture has evolved from simple monolithic system designs to complex, multi-tiered, distributed, and componentized abstractions. Service-driven architectural approaches have been a major driver for enabling agile, cost-effective, flexible, and extensible software applications and integration solutions that support the business dynamics of today’s fast-paced enterprises. SOA and the SCA model have been the typical Service-driven architectural approaches used in enterprises today, to tackle the challenges of developing and implementing agile and loosely coupled software and enterprise integration solutions. Recent trends involve the use of Web APIs and RESTful architecture in the enterprise for agile service development and application integration. The goal of this chapter is to explore, discuss, and recommend methodologies for Service-driven Computing in the enterprise. Service versioning is detailed as a primary architectural approach for accommodating modifications to...

2011

Cloud-based offerings such as Infrastructure-as-aservice (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS), are being delivered by various vendors at highly competitive prices to encourage a paradigm shift to utility computing. To optimize the operational costs of managing an IBM Cloud-based PaaS offering, a two-pronged approach has been adopted: simplification of enterprise-class data center management processes currently used in IBM's Global Services Strategic Outsourcing accounts, and automation of the simplified processes. This paper describes a framework that the authors have developed to deliver an integrated monitoring and event correlation system, and an eventdriven Automated Incident Management System, for IBM's Smart Business Dev/Test Cloud offering.

Lecture Notes in Computer Science, 2013

Cloud Platform as a Service (PaaS) is a novel, rapidly growing segment in the Cloud computing market. However, the diversity and heterogeneity of today's existing PaaS offerings raises several interoperability challenges. This introduces adoption barriers due to the lock-in issues that prevent the portability of data and applications from one PaaS to another, "locking" software developers to the first provider they use. This paper introduces the Cloud4SOA solution, a scalable approach to semantically interconnect heterogeneous PaaS offerings across different Cloud providers that share the same technology. The design of the Cloud4SOA solution, extensively presented in this work, comprises of a set of interlinked collaborating software components and models to provide developers and platform providers with a number of core capabilities: matchmaking, management, monitoring and migration of applications. The paper concludes with the presentation of a proof-of-concept implementation of the Cloud4SOA system based on real-life business scenarios.