Transforming Information Into Knowledge
Transforming Information Into Knowledge
In late 2019, Amazon Web Services’ Developer Advocate Michael Hausenblas surveyed 68 people who use containers on AWS. The publicly available results provide several anecdotal clues about adoption patterns among customers of the world’s largest cloud provider.
78% are satisfied with the level of cooperation between IT and non-IT heads as they work on digital transformation.
Over the last two years, the percentage of developers working on Android and iOS apps declined slightly while those targeting mobile browsers rose by 43 percent.
Portability and control are being sacrificed as serverless users make gains with speed of development and flexibility of scaling.
42% of respondents exclusively rely on third-party cloud providers’ hardware built to build AI/ML models, but only 12% will do so three years from now. Instead, a majority will use a combination of both on-premises and public cloud. Many companies may have gone first to cloud providers because they wanted to quickly launch AI/ML activities. These same companies may migrate to on-premises environments for specialized workloads to reduce costs as they scale-up into production or use proprietary data.
Infosec pros were often not consulted before container adoption occurred. Furthermore, over 40 percent of companies have delayed or limited container adoption because of security concerns.
When it comes to open source contributions, Facebook is above par.
People claim that avoiding vendor lock-in drives cloud computing choices but don’t actually use multiple providers.
Kubernetes is increasingly the first choice among container users, with Datadog reporting its use increasing from 22.5 percent in October 2017 to 32.5 percent in October 2018.
Experience with FaaS predicts whether or not someone prefers functions. In fact, 63 percent of those with broad production FaaS implementations would standardize on functions.
With Kubecon China in the books, we have more proof that Chinese companies are a strong second to the United States in open source cloud computing.
For serverless monitoring, we found that cloud provider’s own tools were commonly used to monitor apps, with Amazon CloudWatch used by 88% of respondents with live AWS Lambda implementations.