Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
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.
Industry News
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.