New functionality helps AWS Lambda and Step
Functions users leverage services instrumented with OpenTelemetry,
troubleshoot issues faster, and detect security threats and
vulnerabilities
LAS
VEGAS, Nov. 27, 2023 /PRNewswire/
-- Datadog, Inc. (NASDAQ: DDOG), the monitoring and
security platform for cloud applications, today announced expanded
security and observability support for AWS serverless applications
built on AWS Lambda and Step Functions services. The functionality
announced today at AWS re:Invent helps AWS Lambda and Step
Functions users detect security threats, get a high-level overview
of how their state machine is performing at a single point in time
and monitor services instrumented with OpenTelemetry.
Serverless applications eliminate the need to provision and
manage infrastructure components, including servers, databases,
queues and containers, so teams can focus on writing code while
minimizing their operational overhead. These applications also come
with unique challenges as they need to be monitored and secured in
different ways than traditional applications. Datadog already
provides out-of-the-box observability for AWS serverless
applications and today expanded these capabilities to include:
- Support for W3C Trace Context Propagation Across All Lambda
Runtimes: Teams can now view complete distributed traces across
upstream and downstream services that have been instrumented by
various OpenTelemetry-compatible instrumentation libraries. This
provides teams with improved visibility into their serverless
applications so they can efficiently troubleshoot any issues.
- AWS Lambda OpenTelemetry API Compatibility Custom
Instrumentation: Developers can now use vendor-neutral code
instrumentation to submit custom OpenTelemetry spans from Lambda
applications to Datadog in Node.JS and Python runtimes, allowing
them to adhere to open source standards.
- Threat Detection for Serverless Applications Deployed on AWS
Lambda Functions: The new support enables both DevOps and
security engineers to detect and protect against attacks targeting
their applications running on AWS Lambda functions.
- Open Source Vulnerability Detection for AWS Lambda
Functions: Available in public beta, this capability provides
engineers with real-time, continuous vulnerability detection in
third-party libraries that are being run in their AWS Lambda
applications.
- AWS Step Function Execution Visualization on State Machine
Maps: To make troubleshooting issues within AWS Step Functions
easier, developers can see the exact path of a Step Function
execution, drill into anomalous executions and identify problematic
states with ease.
"Datadog helps us detect attacks against our serverless
applications and triggers an automated response to block those
attempts as they happen," said Micha
Katz, CISO at Yellow Card. "Application Security Management
was simple to enable and further configure to meet our needs. It
provides an informative, well-organized UI, where we can drill into
attack details, trigger additional actions using predefined
workflows, and gain important insights that help us calibrate and
optimize our detection rules. Additionally, with vulnerability
detection and contextualized severity ratings, we can better
prioritize our remediation efforts within our service layers."
"Securing serverless applications can be a unique challenge
because they are highly distributed and comprise several ephemeral,
stateless components," said Vikram
Varakantam, Senior Director of Product Management at
Datadog. "By providing full visibility into serverless applications
on AWS Lambda, Datadog Application Security Management's threat
detection capability helps DevOps and security teams understand and
prioritize the risks and attacks associated with their serverless
applications so that they can work to resolve and mitigate any
potential breach."
These features are available today. If you are attending
re:Invent in Las Vegas
November 28-30, learn more at booth
#732.
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
Dan
Haggerty
press@datadoghq.com
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SOURCE Datadog, Inc.