46% of container organizations now run serverless containers, up from 31% two years ago

Datadog, Inc., the monitoring and security platform for cloud applications, today unveiled the findings of its fifth annual report, 10 Insights on Real-World Container Use. To understand the state of the container ecosystem, Datadog examined data from more than 2.4 billion containers run by tens of thousands of customers.

Datadog's report found that serverless containers continue to rise in popularity—46% of container organizations now run serverless containers, up from 31% two years ago—as teams look to improve developer productivity.

Other key findings from the report include:

• The adoption of Arm processor-based compute for containerized workloads has more than doubled over the past year.
• Sizing workloads remains a challenge for organizations as more than 65% of Kubernetes workloads are utilizing less than half of their requested CPU and memory.
• Usage of GPU-based compute on containerized workloads—which is used to efficiently train machine learnings and large language models (LLMs), perform inferences and process large datasets— has increased 58% year-over-year.

"We are continuing to see organizations move to serverless containers for the benefits of improving productivity and agility while reducing operational overhead and cloud costs," said Yrieix Garnier, VP of Product at Datadog. "With the serverless approach, organizations don't have to provision or manage the infrastructure needed to run, maintain and scale the containers. This strategy also comes with cost benefits as cloud providers manage the serverless containers and therefore can optimize resource utilization and cloud spend."