Just 8% of Companies Have Mobile-Specific DevOps Departments: 3 Reasons This Must Change
November 15, 2023

Daniel Balla
Bitrise

When mobile apps first entered the market some 15 years ago, companies' biggest challenge was how quickly they could redirect any level of DevOps resources to mobile app development in order to keep up with the quickly rising demand.

And it worked, for a while. From a high-level perspective, mobile app development requires many similar tools and skills as that of traditional software development — developers, programming languages, testing, deployment, automated workflows — that got companies through mobile's early years.

In many cases, it wasn't until developers were tasked with significantly scaling mobile app development, and delivering new features and app versions on a weekly basis, that they realized a new challenge: Their mobile initiatives have outgrown these generic app development conditions.

More than 1,300 mobile practitioners shared a look inside their organizations' mobile strategies and revealed that just 8% of their companies have a dedicated team for mobile app development.

While this may seem contradictory to companies' mobile ambitions, most developers will agree that pushing for an entire set of tools, resources, skills and talent dedicated to mobile alone is almost unheard of in the DevOps industry.

As more teams start noticing the growing pains of trying to make traditional DevOps practices work in mobile-first environments, here are three reasons why this will soon have to change.

1. Mobile Teams Have Been Borrowing From Traditional DevOps

In their first several years, demand for mobile apps grew faster than the DevOps industry's ability to create new tools and resources for developing mobile apps.

As a result, developers had no choice but to make do with what they already had—or could borrow—from traditional DevOps practices, including development platforms, processes, and even talent.

But with some companies' entire business models now based on mobile alone (think: Uber, Waze, Venmo), it only makes sense that investments in mobile app development processes should follow—and they're starting to. In the Mobile DevOps Summit survey, nearly 70% of mobile practitioners said that their organizations' commitment to mobile app development practices have increased over the past year.


These continued investments in Mobile DevOps processes will ultimately be what sets companies apart from those who are still dependent on traditional DevOps in terms of getting their apps to market faster, releasing new features more frequently, and achieving higher visibility in app marketplaces.

2. The Mobile Environment Presents Challenges That Traditional DevOps Practices Never Touch

One of the strongest cases mobile developers can make when campaigning for their own platform-specific tools is illustrating the many nuances of mobile app development compared to other types of software.

At the top of this list are the two main mobile operating systems, Apple and Google, and their evolving sets of rules and guidelines for distributing apps within their ecosystems.

Not only do these companies dictate the specific app architecture and features that must be incorporated into mobile app development in order for them to appear in their marketplaces, but they have additional requirements around how frequently companies must update their apps in order to rank highly enough in these marketplaces to capture consumer interest.

Mobile developers additionally have to keep up with—and consistently update — hundreds more versions of their mobile apps than they do for web or other software apps, considering the sheer amount of mobile devices available. This doesn't just include Apple and Android, but other systems, as well as every older version of their individual devices that could still be in users' hands.

All of this requires a much greater need for speed of mobile app building, testing and releasing than is needed on other channels. But achieving this level of speed remains one of developers' biggest challenges: Mobile practitioners say that long and slow build times (41%), as well as speed of delivery (28%), are two of their biggest challenges in mobile app development.


By using tools that were created with these mobile-specific nuances in mind, developers will be in a better position to mitigate these challenges.

3. Developers' Success Will Stall without New Investments in Mobile-Specific Expertise, Tools and Resources

.

Without new resources to drive their organizations' mobile efforts forward, developers agree that their mobile operations will reach an impasse. Nearly half (46%) of mobile practitioners say that the biggest Mobile DevOps challenge their organizations face is a lack of mobile-specific expertise, tools, and resources.


Rather than having developers split their attention between mobile app development and other DevOps workstreams, for example, mobile teams should be constructed entirely of individuals that are intimately familiar with the uniquities of other mobile-specific technologies.

Understanding the differences between mobile and other types of app development, and then recognizing where there are gaps in their current processes keeping developers from addressing these differences, is a good place to start.

Daniel Balla is Chief Strategy Officer and Co-Founder of Bitrise
Share this

Industry News

March 06, 2025

Parasoft(link is external) is showcasing its latest product innovations at embedded world Exhibition, booth 4-318(link is external), including new GenAI integration with Microsoft Visual Studio Code (VS Code) to optimize test automation of safety-critical applications while reducing development time, cost, and risk.

March 06, 2025

JFrog announced general availability of its integration with NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform.

March 06, 2025

CloudCasa by Catalogic announce an integration with SUSE® Rancher Prime via a new Rancher Prime Extension.

March 05, 2025

MacStadium(link is external) announced the extended availability of Orka(link is external) Cluster 3.2, establishing the market’s first enterprise-grade macOS virtualization solution available across multiple deployment options.

March 05, 2025

JFrog is partnering with Hugging Face, host of a repository of public machine learning (ML) models — the Hugging Face Hub — designed to achieve more robust security scans and analysis forevery ML model in their library.

March 05, 2025

Copado launched DevOps Automation Agent on Salesforce's AgentExchange, a global ecosystem marketplace powered by AppExchange for leading partners building new third-party agents and agent actions for Agentforce.

March 05, 2025

Harness completed its merger with Traceable, effective March 4, 2025.

March 04, 2025

JFrog released JFrog ML, an MLOps solution as part of the JFrog Platform designed to enable development teams, data scientists and ML engineers to quickly develop and deploy enterprise-ready AI applications at scale.

March 04, 2025

Progress announced the addition of Web Application Firewall (WAF) functionality to Progress® MOVEit® Cloud managed file transfer (MFT) solution.

March 04, 2025

Couchbase launched Couchbase Edge Server, an offline-first, lightweight database server and sync solution designed to provide low latency data access, consolidation, storage and processing for applications in resource-constrained edge environments.

March 04, 2025

Sonatype announced end-to-end AI Software Composition Analysis (AI SCA) capabilities that enable enterprises to harness the full potential of AI.

March 03, 2025

Aviatrix® announced the launch of the Aviatrix Kubernetes Firewall.

March 03, 2025

ScaleOps announced the general availability of their Pod Placement feature, a solution that helps companies manage Kubernetes infrastructure.

March 03, 2025

Cloudsmith raised a $23 million Series B funding round led by TCV, with participation from Insight Partners and existing investors.

February 27, 2025

IBM has completed its acquisition of HashiCorp, whose products automate and secure the infrastructure that underpins hybrid cloud applications and generative AI.