8/15/2018 10:31:30 AM
Developing apps for the cloud to fuel faster releases
Cloud Development,Agile
https://appdevelopermagazine.com/images/news_images/The-Need-for-Speed-is-Jeopardizing-the-Customer-Experience-App-Developer-Magazine_cjj9fyl3.jpg
App Developer Magazine

Developing apps for the cloud to fuel faster releases



David Jones David Jones in Cloud Services Wednesday, August 15, 2018
3,085

Developing apps for the cloud can help DevOps get software releases out faster, but throttling the need for speed will help keep good user experiences.

Businesses are moving faster than ever to deliver new software updates to their users, in order to ensure that their products and services are always aligned with expectations and continuously delivering top-notch customer experiences. They have to move quickly because that’s what customers expect, thanks to companies like Amazon, who reportedly delivers new updates virtually every second. When the bar is that high, it’s clear why so many organizations think that they’re facing an uphill battle that they could potentially lose.

Already, companies today release an average of three updates per working hour, and 104 over a single week. But, despite that pace, the vast majority of organizations (89 percent) expect they’ll need to deploy updates even faster than that going forward. That’s all according to new research from Dynatrace, which illustrates not only the ever-growing need for speed that businesses are chasing for their software update release strategy, but the risks that this chase can inadvertently pose to the customer experience - ironically, the very reason that enterprises are so invested in speed in the first place.

The path to more speed means developing for the cloud

Chasing that need for speed means first laying the groundwork for an infrastructure that enables greater agility. For most businesses, that means developing applications for the cloud - specifically, hybrid- and multi-cloud environments. Migrating and rearchitecting legacy applications into more flexible and agile containers and microservices in the cloud opens the door for enterprises to ramp up the pace of their software updates.    

This is easier said than done, of course. A majority of the CIOs who are overseeing these transition efforts have called out identifying whether or not app performance is affected by the cloud, understanding whether that app is even suited to the cloud and actually re-engineering those apps for the cloud as key hurdles that need to be cleared when moving services to the cloud. You’re not flicking a switch; we’re talking about a major restructuring of how your IT infrastructure works.

Building an agile infrastructure can’t be a siloed effort, either. It must be paired with a culture change happening throughout the organization. Not making a concerted effort to break down the siloes around IT teams, and doing so in tandem with making these investments into innovation speed, can result in overlapping projects and conflicting processes, which create a lot of unnecessary internal disarray - and, ultimately, negatively impacts the user experience, too.

The DevOps dilemma

This culture change is key because IT naturally builds up siloes around different functions and teams, and a lack of collaboration across the development and operations teams can be enormously counterproductive. When teams are misaligned on goals and processes like this, it can create a lot of hiccups in the production pipeline - for instance, forcing new code to be passed back and forth between the dev and ops sides, delaying a new software update and, consequently, frustrating customers who are expecting a timelier release.

Implementing a DevOps culture can bridge this gap between teams, facilitating closer collaboration and leading a process change that lays the groundwork for speedier innovation. But, it’s not without its roadblocks, either. While more than two-thirds of CIOs are already implementing, or have implemented, this DevOps culture, even more (about three-quarters) also said that their DevOps efforts were undermined by a lack of shared toolsets and data. When different IT teams are starting out from different baselines like this, it can be difficult if not virtually impossible for IT to land on a single view of the truth.

Democratizing information to get IT on the same page

At the heart of this DevOps culture needs to be a spirit of democratizing information, leveraging digital experience management insights and real-time data collected by AI in order to diagnose performance issues. By democratizing this information across the entire team, everyone - regardless of previous siloes - will have equal access to the same data, the same tools and, ultimately, the same single view of the truth. If DevOps can empower everyone in IT to speak the same language, that allows the whole team to move forward in tandem with each other.

And, once everyone is on the same page, you boost your likelihood of pushing out quick and successful software updates, keeping app costs down, and reducing the likelihood of needing to patch faulty releases that did more harm than good. Recall last year’s WhatsApp outage, where many of the messaging app’s 1.2 billion users had difficulty receiving or sending messages. Given that WhatsApp delivers new updates every couple of days in order to accommodate frequent code changes, the culprit behind that outage was likely an update that was supposed to improve, not break, the app’s functionality. The last thing you want is to push out an update that breaks your service and angers your users.

This kind of situation is exactly why close to three-quarters of CIOs said that this need for speed in digital innovation may put the customer experience at risk. And, it’s exactly why these same CIOs are prioritizing a DevOps culture that can promote collaboration, democratize information and get out ahead of the possibility of a new update breaking everything else - including that customer experience - in the process.

That’s also why we see so many CIOs increasingly turning to automation and AI, which are key tools for, among other things, democratizing this flow of information. Introducing AI-controlled automation into the DevOps pipeline frees up teams across the organization so that they can focus their time and attention more innovation and less on simply pushing out builds. AI also empowers the organization to access data from a single source - that single view of the truth - to make better decisions faster and reduce the risk of bad builds creating poor customer experiences.

Threading the needle between speed and the customer experience

At the end of the day, the need for speed can’t be avoided. It’s what all our users want, and the businesses who can’t keep up with that pace will get left behind by those who can. What can be helped, though, is how we integrate this need for speed into how our IT teams function. Just slamming your foot on the gas and trying to ramp up your production and release pipelines as if you’re going from zero to 60 is a recipe for disaster. It doesn’t matter how fast you are if the only thing you’re first for is in angering customers with broken updates.

This is a tricky balancing act, but a doable one. A combination of the cloud and DevOps - creating process changes both in your IT infrastructure and your IT culture - is the key to successfully threading that needle between accelerating the pace of digital innovation and doing so without hurting the user experience in the process.



Google Cloud Platform in Action

Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance.

Data Science on the Google Cloud Platform

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches.

475 Tax Deductions for Businesses and Self-Employed Individuals

Are you paying more taxes than you have to as a developer or freelancer? The IRS is certainly not going to tell you about a deduction you failed to take, and your accountant is not likely to take the time to ask you about every deduction you’re entitled to. As former IRS Commissioner Mark Everson admitted, “If you don’t claim it, you don’t get it.

A hands-on guide to mastering mobile forensics for iOS and Android

Get hands-on experience in performing simple to complex mobile forensics techniques Retrieve and analyze data stored not only on mobile devices but also through the cloud and other connected mediums A practical guide to leveraging the power of mobile forensics on popular mobile platforms with lots of tips, tricks, and caveats.

Gps tracker for kids

The Chirp GPS app is a top-ranked location sharing app available for Apple and Android that is super easy to use, and most of all, it's reliable.

The Latest Nerd Ranch Guide (3rd Edition) to Android Programming

Write and run code every step of the way, using Android Studio to create apps that integrate with other apps, download and display pictures from the web, play sounds, and more. Each chapter and app has been designed and tested to provide the knowledge and experience you need to get started in Android development.


This content is made possible by a guest author, or sponsor; it is not written by and does not necessarily reflect the views of App Developer Magazine's editorial staff.