46% of container organizations now run
serverless containers, up from 31% two years ago
NEW
YORK, Nov. 2, 2023 /PRNewswire/ -- Datadog, Inc.
(NASDAQ: DDOG), 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."
10 Insights on Real-World Container Use is available
now. For the full results, please visit:
https://www.datadoghq.com/container-report/. To learn how Datadog
helps companies monitor and secure their containerized
environments, visit:
https://www.datadoghq.com/product/container-monitoring/.
About Datadog
Datadog is the observability and security platform for
cloud applications. Our SaaS platform integrates and automates
infrastructure monitoring, application performance monitoring, log
management, real-user monitoring, and many other capabilities to
provide unified, real-time observability and security for our
customers' entire technology stack. Datadog is used by
organizations of all sizes and across a wide range of industries to
enable digital transformation and cloud migration, drive
collaboration among development, operations, security and business
teams, accelerate time to market for applications, reduce time to
problem resolution, secure applications and infrastructure,
understand user behavior, and track key business metrics.
Forward-Looking Statements
This press release may include certain "forward-looking
statements" within the meaning of Section 27A of the Securities Act
of 1933, as amended, or the Securities Act, and Section 21E of the
Securities Exchange Act of 1934, as amended including statements on
the benefits of new products and features. These forward-looking
statements reflect our current views about our plans, intentions,
expectations, strategies and prospects, which are based on the
information currently available to us and on assumptions we have
made. Actual results may differ materially from those described in
the forward-looking statements and are subject to a variety of
assumptions, uncertainties, risks and factors that are beyond our
control, including those risks detailed under the caption "Risk
Factors" and elsewhere in our Securities and Exchange Commission
filings and reports, including the Quarterly Report on Form 10-Q
filed with the Securities and Exchange Commission on May 5, 2023, as well as future filings and
reports by us. Except as required by law, we undertake no duty or
obligation to update any forward-looking statements contained in
this release as a result of new information, future events, changes
in expectations or otherwise.
Contact
Janine
Kromhout
press@datadoghq.com
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SOURCE Datadog, Inc.