The Role of EiPaaS in Enterprise Architecture - Part 2
By Asanka Abeysinghe
- 20 May, 2021
In our previous article, we introduced the four architecture domains as well as the evolution of a sample enterprise architecture. In this article, we will look at an enterprise integration platform as a service (EiPaaS) reference architecture and highlight its key components. We will also look at a hybrid EiPaaS infrastructure, show why service mesh should be considered for future-proofing an implementation, and highlight the benefits of an enterprise architecture that utilizes EiPaaS.
A combination of technologies related to cloud integrations and API management capabilities provide a significant platform, i.e., enterprise integration platform as a service (EiPaaS), to increase productivity by enabling agility, flexibility, and scalability through automation and services. Technical leadership, including domain owners and integration-related stakeholders are increasingly adopting enterprise integration platform as a service (EiPaaS) as a complete platform as a service for a comprehensive single-shop solution for API integration scenarios. A wide range of protocol connectivity, application and data connectors, construction of integration workflows, routing/orchestration, policy enforcement, community management and built-in continuous-integration/continuous-delivery (CI/CD) pipelines are some of the key capabilities that come with an enterprise integration platform as a service (EiPaaS).
An EiPaaS architecture consists of a control-plane and a data-plane.
Full API lifecycle management is a vital part of the digital transformation journey, since APIs are a strategic investment for any organization — playing a significant role as both technical enablers and business drivers. API lifecycle management helps API creators to develop, document, scale, and version APIs while also facilitating related tasks, such as publishing, monetizing, and promoting APIs.
A related concept, the API marketplace, is key to building an API ecosystem by allowing multiple parties to list and offer their APIs in a single place. Often, we call this model business to business to consumer (B2B2C). Well-defined API marketplace strategies support organizations to become more competitive and agile, allowing companies to get ahead as the API economy evolves.
Security is paramount when exposing business capabilities via APIs. The ability to define security policies, manage tokens, and protect APIs by enforcing them in the data-plane is essential in the API economy. API quality of service (QoS) and rate-limiting support to productize and monetize API products.
Obtaining meaningful business insights on how APIs are behaving is critical in every business. Built-in API observability tools and AI-powered decision-making engines play a significant role in providing vital business intelligence insights.
Low-code integration eliminates coding in most projects with a point-click-drag-and-drop visual interface. Simple, template-driven integrations cover a wider variety of integration use cases with ready-made connectors (e.g., Salesforce, NetSuite, Slack, Magento, Workday, Shopify, etc.). These take only minutes to get up and running. Most vendors allow users to add code to make modifications to individual components or templates.
No-code integration provides out-of-the-box, cookie-cutter templates for application integration with drag-and-drop components. If the organization has standard integration patterns that match the provided temples, a no-code integration approach will speed time to market. However, unlike code and low-code platforms, they offer less-advanced capabilities and flexibility. Both low-code and no-code offerings minimize the technical gap between many users and the skills required for integration — they also increase productivity, which, in turn, reduces time to market.
CI/CD is essential to speed innovation using feedback by customers, making it possible to deliver an improved product or service on a daily or even hourly basis. A CI/CD pipeline is typically made up of one or more steps, where source code is turned into a build that is tested and deployed across one or more environments until it eventually reaches the end-user in production.
The majority of the EiPaaS vendors provide comprehensive cloud-centric solutions, where both control-plane and data-plane components are running in the cloud. Organizations can increase their productivity when they choose to have all their apps and data reside with one enterprise EiPaaS provider.
As organizations attempt to stay relevant in a rapidly-shifting digital economy, they can’t forget their legacy systems, which continue to play key roles. At the same time, regulations,data storage, and privacy rules often prohibit the movement of data out from organizational, country or regional boundaries. Compliance with these regulations, integration and policy enforcement within local boundaries may require implementing a hybrid enterprise iPaaS architecture as an interim solution to overcome restrictions.
In a hybrid EiPaaS platform, data-plane components can run off the public cloud (on-premises/private cloud) by decoupling tight cloud connections. Off-cloud data-plane components can sync with configurations, integrations, certs, and policies defined within the control-plane and enforce them in the data-plane. The data-plane captures data periodically by syncing with the control-plane to generate the necessary insights.
Private cloud data-plane components can run on virtual-machines or bare metal. However, for better automation and dynamic scalability, they need to run on top of container orchestration platforms, such as Kubernetes. Also, it is necessary that these data-plane components are built to align with cloud-native technologies if they are to get the maximum benefit out of these cloud platforms.
Decomposing a complex problem into a set of smaller problems will make it easier to tackle and faster to develop, test, deploy, and scale — not to mention, much easier to update. This set of smaller problems can be implemented as cloud applications. Each microservice can be created and deployed by a smaller team with the freedom to choose the appropriate technologies. All of these benefits often come with a fee.
When decomposing a monolith into microservices, it is necessary to address the fallacies of distributed computing as part of their application logic. However, this is not easy and can drain all the benefits we are looking for with the microservice architecture. A service mesh can address these problems by deploying a side-car proxy adjacent to each microservice. The side-car helps create a controlled network mesh for handling complex operational requirements such as discovery, load balancing, failure recovery, metrics, monitoring, A/B testing, rate limiting, access control, and end-to-end authentication.
We observe that service mesh-driven enterprise architectures are emerging rapidly. We believe that service mesh will play a vital role in network resiliency and service-to-service management. While future apps PaaS are moving toward service mesh, enterprise iPaaS should also evolve to support it natively.
The following diagram shows how EiPaaS works together with the service mesh architecture.
Service mesh mainly controls east-west traffic. By intercepting all traffic through side-car proxies, a service mesh can fulfill the complex operational requirements discussed above. The north-south traffic flows when we expose these data services (mostly as APIs) to partners, consumers or businesses. This traffic should be managed via an API management system. A service mesh ingress gateway is the bridge that works in-sync with the control-plane to enforce all the necessary API management policies. If we want to manage application-to-application traffic, it is best to control traffic via an ingress gateway, even though it is east-west traffic. When integrating a service mesh with the enterprise iPaaS, it is necessary to have special ingress gateways. These gateways are capable of managing API gateway functions in addition to the generic ingress gateway functions.
Enterprise iPaaS provides the full gamut of API management and data integration capabilities to handle the connectivity and integration of apps on-premises and in the cloud. Once an enterprise architecture has reached the fourth stage of evolution, organizations can benefit from the extended autonomy, enhanced connectivity, enforcement policies, and governance that this approach enables.
Furthermore, an enterprise architecture that utilizes an EiPaaS for internal and external integration can recognize several important benefits. From a technology standpoint, these include the ability to:
At the same time, adopting an EiPaaS supports an organization’s agility, innovation, and collaboration by making it possible to:
Enterprise architecture has evolved in parallel with changes in how organizations operate and advances in technology — serving as the heart of the technology landscape, the connection between business and technology, and the driving force in generating value streams. However, to achieve those objectives, an enterprise architecture requires a future-proof enterprise ipaas platform and that's where EiPaaS becomes the neural system of a digitally-driven organization.
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This article was first published on The New Stack.