@CloudExpo Authors: Liz McMillan, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Elizabeth White

Related Topics: @CloudExpo, Microservices Expo, Containers Expo Blog

@CloudExpo: Blog Feed Post

API Management – Infrastructure vs SaaS

APIs are increasingly redefining how the enterprise does B2B and integration in general

The Enterprise is buzzing with API initiatives these days. APIs not only serve mobile applications, they are increasingly redefining how the enterprise does B2B and integration in general. API management as a category follows different models. On one hand, certain technology vendors offer specialized infrastructure to handle the many aspects of API management. On the other, an increasing number of SaaS vendors offer a service which you subscribe to, providing a pre-installed, hosted, basic API management system. Hybrid models are emerging, but that’s a topic for a future post.

Before opting for a pure SaaS-based API management solution offering, consider these below.

The Cloud Advantage
One can realize the benefits of cloud computing from an API management solution without losing the ability to control its underlying infrastructure. For example, IaaS solutions let you host your own API management infrastructure. Private clouds are also ideal to host API management infrastructure and provide the added benefit of running ‘closer’ to key enterprise it assets. Through any of these SaaS alternatives, an API management infrastructure optimizes computing resources utilization. IaaS and private cloud based API management infrastructure also provide elasticity and can scale on-demand. Look for API management solutions that offer a virtual appliance form factor to maximize the benefits of cloud.

Return on investment
The advantage of a lower initial investment from SaaS delivered API management solutions quickly becomes irrelevant when the ongoing cost of a per-hit billing structure increases exponentially. With your own API management infrastructure in place, you leverage an initial investment over as many APIs as you want to deliver, no matter how popular the APIs become. Many early adopters, which originally opted for the SaaS model, (notably the more successful APIs) are currently making the switch to the infrastructure model in order to remedy a monthly cost that has grown to unmanageable levels. Unfortunately, such transitions are sometimes proving more costly than any initial costs savings.

Agility, Integration
SaaS solutions provide easy-to-use system isolated in their own silo. This isolation from the rest of your enterprise IT assets creates a challenge when you attempt to integrate the API management solution with other key systems. Do you have an existing web portal? How about existing identity, business intelligence, billing systems? If your API management solution is infrastructure based, you have access to all the low level controls and tooling that are required to integrate all these systems together. Integrating your API management with existing identity infrastructure can be important to achieve runtime access control. Integrating with billing systems is crucial to monetize your APIs. Feeding metrics from an API management infrastructure into an existing BI infrastructure provides better visibility, etc.

Depending on the audience for your APIs, various regulations and security standards may apply. Sensitive information travelling through a SaaS is outside of your control. Are any of your APIs potentially dealing with cardholder information? Does PCI-DSS certification matter? If so, a SaaS-based API management solution is likely to be problematic. In addition to the off-premise security issue, SaaS based API management solutions offer limited security and access control options. For example, the ability to decide which versions of OAuth you choose to implement matters if you need to cater to a specific breed of developers.

Detours increase latency. By routing API traffic through a hosted system before getting to the source of the data, you introduce detours. By contrast, if you architect an API management infrastructure in such a way that the runtime controls happen in direct path of transaction, you minimize latencies. For example, using the infrastructure approach, you can deploy everything in a DMZ. Also, by owning the infrastructure, you have complete control over the computing resources allocated to it.

Read the original blog entry...

More Stories By Francois Lascelles

As Layer 7’s Chief Architect, Francois Lascelles guides the solutions architecture team and aligns product evolution with field trends. Francois joined Layer 7 in the company’s infancy – contributing as the first developer and designing the foundation of Layer 7’s Gateway technology. Now in a field-facing role, Francois helps enterprise architects apply the latest standards and patterns. Francois is a regular blogger and speaker and is also co-author of Service-Oriented Infrastructure: On-Premise and in the Cloud, published by Prentice Hall. Francois holds a Bachelor of Engineering degree from Ecole Polytechnique de Montreal and a black belt in OAuth. Follow Francois on Twitter: @flascelles

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.