Shippable, the Seattle-based producer of a continuous delivery platform for software developers, recently quizzed 300 coders in the U.S. and found that more than half of them (52 percent) are using Docker or other container technologies to deploy their new applications in production. Fourteen percent are using containers for development and testing purposes.
Indicating that 2016 is the year that containers cement their hold on the enterprise, a whopping 89 percent of respondents told the startup that they were very or somewhat likely to increase their use of the DevOps-enabling technology within the next 12 months.
Developers are turning to containers when speed is of the essence. Containers have helped a majority of developers (74 percent) ship new software at least 10 percent faster. Eight percent are enjoying a 50-percent boost.
Containers are clearly entering the mainstream. In March, after polling 1,800 technology professionals, Web server and application specialists NGINX discovered that two-thirds of organizations have fallen under the spell of Docker and other containerized application platforms. Among those, 20 percent are using containers for production workloads.
Shippable’s findings also indicate that containers and the cloud go hand-in-hand.
Thirty-one percent of respondents are running containers on public clouds. Private clouds are a close second with 30 percent. Hybrid clouds are the setup of choice for 17 percent of developers while 2 percent keep their containers in on-premises environments.
The big three public cloud providers (Amazon, Google and Microsoft) are running a tight race, suggesting that their efforts to attract developers are paying off. “Fifty-two percent of developers surveyed by Shippable said they’re running containerized applications on Google Compute Engine, while 49 percent are running on Microsoft Azure and 43 percent on Amazon Web Services,” wrote Matt Carter, vice president of Marketing at Shippable, in a blog post.
Among the holdouts, a lack of in-house skills was the top reason some developers are avoiding containers. Others cited concerns regarding container technology’s maturity, infrastructure incompatibilities and security. For some, return on investment (ROI) remains a big question mark.
Those barriers to adoption are not insurmountable, said Shippable’s CEO Avi Cavale. “Companies can help themselves by training internal software teams and partnering with vendors and service providers that have worked with container technology extensively,” he advised in a statement.
Pedro Hernandez is a contributing editor at Datamation. Follow him on Twitter @ecoINSITE.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.