Welcome!

Cloud Security Authors: Liz McMillan, Elizabeth White, Pat Romanski, Zakia Bouachraoui, Yeshim Deniz

Related Topics: @CloudExpo, Cloud Security, @ThingsExpo

@CloudExpo: Blog Feed Post

Five Ways to Safeguard Your Application from Third-Party API Outages By @webcodepro | @CloudExpo #Cloud

There have been a number of high-profile API outages in recently that caused some well-known websites & applications to go down

Five Ways to Safeguard Your Application from Third-Party API Outages
By Janet Wagner

The Internet of Things (IoT) is growing at a rapid pace with millions of new devices getting connected every day.

Gartner forecasts that 6.4 billion connected things will be in use in 2016 and by 2020, the number will reach 20.8 billion. Billions of devices including smartphones, laptops, cars, watches, refrigerators, and even thermostats are all getting connected thanks to APIs. Many of these devices are part of a larger application ecosystem, connected to the cloud and each other using the same APIs.

There have been a number of high-profile API outages in recent months that caused some well-known websites and applications to go down. With so many devices and applications using many of the same cloud services and APIs, one outage can potentially take down entire application ecosystems. While it may not be possible to completely prevent an API outage from taking down your website, web or mobile application, it is possible to take steps to reduce the impact of a third-party API outage.

Web Service Outages
Twitter experienced a major outage for about an hour on January 19, 2016 which caused the Twitter website and applications to malfunction for users worldwide.

Twitter Outage

Application ecosystems are getting larger and more complex with each passing day. While API providers do their best to ensure API availability, outages do still occur from time to time.

Consider the following examples:

  • On January 26, 2015, both the Facebook and Instagram API servers went down for about an hour taking down Facebook and Instagram. The outage also impacted a number of well-known websites including Tinder and HipChat.
  • On September 20, 2015, Amazon Web Services (AWS) experienced a brief disruption that caused an increase in faults for the EC2 Auto Scaling APIs. Within the same month, the Facebook Graph API went down briefly on three separate occasions. Facebook is considered a very reliable service so the fact that Facebook suffered from three outages in the same month was widely reported.
  • On January 19, 2016, Twitter experienced a major outage that impacted many of the websites and applications using Twitter APIs. The API outages caused the Twitter website and applications to malfunction for users worldwide for about an hour.

API outages aren't limited to the large scale APIs like those experienced by giants like Facebook and Amazon. And if you have an application that is dependent on external APIs to perform a critical function, you need to have a plan for dealing with disruptions.

There are a number of solutions that developers can use to prevent API outages from negatively impacting a website or application.

1. API Virtualization
API virtualization
is a process that makes it possible to create a virtual copy of an API capable of emulating the same functionality and performance of a production API. API virtualization can be used to create a virtual sandbox for integration, scenario, load, and performance testing of internal and third-party APIs. Unlike service virtualization, a process that mimics an entire system, API virtualization only emulates the API which is considerably less expensive, easier to implement, and less time consuming.

"It's all about time and cost. API virtualization, beyond simple service mocking, provides technical teams a frictionless way to reduce delays in development and testing. Lightweight, virtual APIs empower teams to simulate errors, network latency and congestion, and even stand up API sandboxes," said Paul Bruce, API team product manager at SmartBear. "These ‘virts' (as the folks at SmartBear call them), allow you overcome third-party downtime, safeguard you from running over subscription limits, and even help to simplify versioning and release logistics."

Using API virtualization tools like ServiceV Pro, developers can test third-party API integrations by mimicking errors, server, and network behavior.

Matti Hjelm, product owner at SmartBear, said that "ServiceV works from two angles: both from the dev perspective to quickly create APIs for own use or for others to use; and for testers to have something to test against. This will truly speed up the build and deploy workflows dramatically."

API virtualization can help developers anticipate how specific third-party API outages will impact their application allowing them to plan for outages before moving the application to general availability.

2. Synthetic and Real User Monitoring
Synthetic Monitoring

Synthetic monitoring
is a script or tool that is capable of monitoring various aspects of APIs, web and mobile applications. Synthetic monitoring effectively "simulates users" monitoring the paths that users may take while using an application. Synthetic monitoring can help developers discover problems with an application before users do. Using synthetic monitoring, developers can find out:

  • How well the website/application performs from specific geographic locations.
  • How long it takes web pages to load.
  • How an outage or slowdown will impact users.
  • How well third-party scripts and APIs are operating.
  • How well transactions are performing.
  • How new features will impact performance and speed.

These are just a few of the things that developers can learn about an application by using synthetic monitoring.

"On the production side, synthetic API monitoring provides critical visibility into how your APIs perform under real conditions, prove uptime and availability, and split out important layers of your user experience so you can involve the right people to quickly resolve problems when they arise," said Bruce.

Real User Monitoring
Real user monitoring (RUM
) is a script or tool designed to monitor and analyze all user transactions of a website or application. RUM is based on the traffic of actual application users, not virtual or simulated users like synthetic monitoring. RUM shows how users are interacting with an application, providing metrics that reflect the user experience (UX).

RUM can be used to monitor and capture a wide variety of web and mobile application metrics including load time, speed, errors, transaction performance, availability, and more. Problems with third-party APIs can impact the speed and performance of a website or application. There are RUM tools that can send automatic alerts in the event of a problem such as an API outage or application slowdown.

Products like AlertSite can be used for RUM monitoring as well as for synthetic monitoring of APIs, web and mobile applications.

3. A/B Testing
A/B testing is a method of testing in which two variants of a web page or application are compared to each other. For example, two versions of an application; one that includes a third-party API and one that does not, would be compared to see how that API will impact application speed and performance. A/B testing tools use data and metrics to determine the positive or negative impact of specific changes made to web pages or applications.

4. Asynchronous Scripting
Asynchronous scripting helps web pages render faster by allowing the main body of content to be loaded without having to wait for all of the external scripts to load. Without asynchronous scripting, users must wait for all of the external scripts to load first before they can view the main content of the web page. If a problem with a third-party script or API occurs, asynchronous scripting allows the body of content to be loaded despite the problem.

Many API providers offer APIs via JavaScript SDKs with code that is asynchronous by default. Third-party JavaScript APIs and code snippets that are not already asynchronous can be loaded asynchronously. In HTML5 for example, external JavaScript files can be loaded asynchronously using the async tag:

<script async src="script.js"></script>

5. Caching
Caching API responses allows API data to be stored on your website server instead of relying on the third-party server for every API call. Caching helps prevent an application from being impacted by third-party API outages because data is pulled from a local cache file instead of directly from the API server. Caching scripts are available in PHP, Python, and many other languages.

Conclusion
This article covers only a few of the steps that can be taken to safeguard your application from third-party API outages and errors.

Limiting the number of APIs your application uses, using well-designed APIs from reputable API providers, and using a full-featured APM tool can also help safeguard your application from API outages.

With the number of connected devices and application ecosystems growing at such as rapid pace, it is more important than ever for applications to be safeguarded from third-party API outages and errors.

Read the original blog entry...

More Stories By SmartBear Blog

As the leader in software quality tools for the connected world, SmartBear supports more than two million software professionals and over 25,000 organizations in 90 countries that use its products to build and deliver the world’s greatest applications. With today’s applications deploying on mobile, Web, desktop, Internet of Things (IoT) or even embedded computing platforms, the connected nature of these applications through public and private APIs presents a unique set of challenges for developers, testers and operations teams. SmartBear's software quality tools assist with code review, functional and load testing, API readiness as well as performance monitoring of these modern applications.

IoT & Smart Cities Stories
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 ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
DXWorldEXPO LLC announced today that Ed Featherston has been named the "Tech Chair" of "FinTechEXPO - New York Blockchain Event" of CloudEXPO's 10-Year Anniversary Event which will take place on November 12-13, 2018 in New York City. CloudEXPO | DXWorldEXPO New York will present keynotes, general sessions, and more than 20 blockchain sessions by leading FinTech experts.
Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Ben Perlmutter, a Sales Engineer with IBM Cloudant, demonstrated techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user e...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of ...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Rodrigo Coutinho is part of OutSystems' founders' team and currently the Head of Product Design. He provides a cross-functional role where he supports Product Management in defining the positioning and direction of the Agile Platform, while at the same time promoting model-based development and new techniques to deliver applications in the cloud.
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and Bi...