Safety was the largest problem corporations implementing cloud native applied sciences confronted, however in response to a brand new report from the Cloud Native Computing Basis (CNCF), that’s now not the case.
The CNCF’s 2024 Cloud Native Survey, which surveyed 750 members of the CNCF group, revealed that cultural modifications at the moment are the highest problem, with 55% of respondents citing this because the primary challenge.
“When cloud native computing was maturing, technical points like safety, networking, storage, and observability had been main ache factors. As we speak, although, extra seasoned cloud native practices have helped make technical challenges extra manageable, that means organizations can focus their consideration on tradition and course of shifts. Whether or not it’s a transfer to platform engineering or GitOps, or a transition from a monolithic structure to a microservices one, these culture-change efforts are the logical, if difficult, subsequent steps within the cloud native evolution, because the survey outcomes replicate,” the CNCF wrote within the report.
RELATED CONTENT: KubeCon + CloudNativeCon Europe Day 1: Argo CD v3 pre-release, Golden Kubestronaut program, Purple Hat Developer Hub 1.5, and extra
The earlier 12 months’s survey outcomes had safety and complexity as the 2 largest challenges, at 42% and 38% of respondents, respectively. Now, safety is the fourth largest problem at 37% and complexity is at quantity six at 35%.
They discovered that 60% of organizations at the moment are vetting open supply initiatives for energetic communities and 57% are utilizing automated instruments to detect vulnerabilities, indicating that safety measures are bettering.
The second and third largest challenges cited this 12 months had been CI/CD points (40%, up from 25% in 2023) and lack of coaching (38%, up from 28% in 2023).
Cloud native utilization is at an all-time excessive
The report additionally discovered that 89% of respondents had adopted cloud native applied sciences. Twenty-four p.c mentioned that each one of their growth and deployment had been utilizing cloud native applied sciences, up from 20% in 2023.
Moreover, 36% mentioned that the majority of their growth and deployment had been with cloud native, and 28% mentioned a few of it was.
The report additionally discovered that adoption was comparable throughout all firm sizes, indicating that each one corporations are seeing the advantages, not simply the biggest ones.
How AI is getting used with Kubernetes
The report means that AI adoption in Kubernetes continues to be in its early days, with 48% of respondents saying they haven’t but deployed AI workloads.
Of these which might be working with AI, they’re utilizing Kubernetes for batch jobs (11%), mannequin experimentation (10%), real-time mannequin inference (10%), and knowledge pre-processing (9%).
Different findings of the report
The CNCF additionally discovered that:
- 80% of organizations are utilizing Kubernetes in manufacturing, in comparison with 66% in 2023
- 60% of organizations are utilizing CI/CD for many or all of their functions
- 77% of organizations are utilizing GitOps ideas
- Service mesh adoption declined from 50% in 2023 to 42% in 2024, primarily as a result of related overhead prices
Safety was the largest problem corporations implementing cloud native applied sciences confronted, however in response to a brand new report from the Cloud Native Computing Basis (CNCF), that’s now not the case.
The CNCF’s 2024 Cloud Native Survey, which surveyed 750 members of the CNCF group, revealed that cultural modifications at the moment are the highest problem, with 55% of respondents citing this because the primary challenge.
“When cloud native computing was maturing, technical points like safety, networking, storage, and observability had been main ache factors. As we speak, although, extra seasoned cloud native practices have helped make technical challenges extra manageable, that means organizations can focus their consideration on tradition and course of shifts. Whether or not it’s a transfer to platform engineering or GitOps, or a transition from a monolithic structure to a microservices one, these culture-change efforts are the logical, if difficult, subsequent steps within the cloud native evolution, because the survey outcomes replicate,” the CNCF wrote within the report.
RELATED CONTENT: KubeCon + CloudNativeCon Europe Day 1: Argo CD v3 pre-release, Golden Kubestronaut program, Purple Hat Developer Hub 1.5, and extra
The earlier 12 months’s survey outcomes had safety and complexity as the 2 largest challenges, at 42% and 38% of respondents, respectively. Now, safety is the fourth largest problem at 37% and complexity is at quantity six at 35%.
They discovered that 60% of organizations at the moment are vetting open supply initiatives for energetic communities and 57% are utilizing automated instruments to detect vulnerabilities, indicating that safety measures are bettering.
The second and third largest challenges cited this 12 months had been CI/CD points (40%, up from 25% in 2023) and lack of coaching (38%, up from 28% in 2023).
Cloud native utilization is at an all-time excessive
The report additionally discovered that 89% of respondents had adopted cloud native applied sciences. Twenty-four p.c mentioned that each one of their growth and deployment had been utilizing cloud native applied sciences, up from 20% in 2023.
Moreover, 36% mentioned that the majority of their growth and deployment had been with cloud native, and 28% mentioned a few of it was.
The report additionally discovered that adoption was comparable throughout all firm sizes, indicating that each one corporations are seeing the advantages, not simply the biggest ones.
How AI is getting used with Kubernetes
The report means that AI adoption in Kubernetes continues to be in its early days, with 48% of respondents saying they haven’t but deployed AI workloads.
Of these which might be working with AI, they’re utilizing Kubernetes for batch jobs (11%), mannequin experimentation (10%), real-time mannequin inference (10%), and knowledge pre-processing (9%).
Different findings of the report
The CNCF additionally discovered that:
- 80% of organizations are utilizing Kubernetes in manufacturing, in comparison with 66% in 2023
- 60% of organizations are utilizing CI/CD for many or all of their functions
- 77% of organizations are utilizing GitOps ideas
- Service mesh adoption declined from 50% in 2023 to 42% in 2024, primarily as a result of related overhead prices
