Customers like AppFolio, Cash App and
andsafe leverage Datadog to monitor their AWS environments
LAS
VEGAS, Dec. 2, 2024 /PRNewswire/ -- Datadog,
Inc. (NASDAQ: DDOG), the monitoring and security platform for
cloud applications, today at AWS re:Invent highlighted its
continued investment in its Amazon Web Services (AWS) monitoring
product portfolio, which covers all aspects of a customers' tech
stack, including AI/ML applications as well as serverless and
containerized environments. Customers like AppFolio, andsafe,
Asana, Maersk, Cash App, Sweetgreen, The PlayStation Network and
Twilio use Datadog to monitor AWS services through more than 100
unique integrations with Datadog.
"We continue to see companies rely on Datadog for
enterprise-scale observability at an accelerated rate," said
Yanbing Li, Chief Product Officer at
Datadog. "Trends like AI/ML, cloud migration, serverless and
containers—and the need to monitor and optimize resources for all
these areas—have helped to accelerate this growth as companies
search to better understand their LLM usage, infrastructure
performance and cloud costs."
Datadog now offers over 100 unique AWS service integrations,
including for AI/ML services:
- AWS Trainium and AWS Inferentia ML chip monitoring to help
customers optimize model performance and resource efficiency,
prevent service interruptions and scale their infrastructure as ML
workloads grow.
- Amazon Q to help developers easily query and interact with
Datadog directly in the AWS Management Console, using natural
language.
- Amazon Bedrock to allow teams to monitor their AI models' FM
usage, API performance and error rate with runtime metrics and
logs.
- Amazon SageMaker to allow data scientists and engineers to
collect, visualize and alert on Amazon SageMaker metrics so they
can flag issues quickly and identify opportunities to improve the
performance of ML endpoints and jobs.
"The Datadog LLM Observability solution helps our team
understand, debug and evaluate the usage and performance of our
GenAI applications. With it, we are able to address real-world
issues, including monitoring response quality to prevent negative
interactions and performance degradations, while ensuring we are
providing our end users with positive experiences," said
Kyle Triplett, VP of Product at
AppFolio.
"We explored a bunch of different hosted solutions and found
that SageMaker solved all the problems that we were encountering.
And we did some stress testing with it and it held up to the
traffic that we expected to be sending through the system," said
James Adams, Machine Learning
Engineering Manager at Cash App. "With Datadog, it has all these AI
integrations—including SageMaker—that we're using heavily."
"andsafe has been all in on Amazon Web Services since day one
and our infrastructure is based on microservices which are running
on Amazon EKS," said Marcel
Drechsler, Senior Cloud Solutions Engineer at andsafe. "To
monitor the resource consumption, we are utilizing the container
monitoring tools of Datadog. As a result, we were able to decrease
the resource consumption and make the process much faster."
Learn more about how Datadog helps teams monitor every
layer of their AWS environments, and visit Datadog at AWS re:Invent
2024 at booths #832 and #1728. Datadog will host a webinar to recap
the announcements made at re:Invent—register here.
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, user experience monitoring, cloud security 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 8, 2024, 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
Dan
Haggerty
press@datadoghq.com
View original content to download
multimedia:https://www.prnewswire.com/news-releases/datadog-highlights-advanced-aiml-and-aws-monitoring-capabilities-at-reinvent-302319101.html
SOURCE Datadog, Inc.
