Datadog Announces Integration With AWS Lambda, Enables Support for Serverless Architectures | Datadog

Datadog Announces Integration With AWS Lambda, Enables Support for Serverless Architectures

  • Datadog adds Amazon Web Services (AWS) Lambda to its expanding list of AWS integrations
  • Customers can immediately begin seeing metrics from their serverless applications with out-of-the-box Datadog functionality

NEW YORK–(BUSINESS WIRE)–Datadog, an essential monitoring solution for dynamic cloud infrastructure, today announced its integration with AWS Lambda. Datadog serves thousands of customers ranging from hyper-scale startups to enterprise-grade software companies, which positions the company at the forefront of emerging technologies like Docker and serverless architectures.

“Serverless architecture is ushering in a shift in cloud computing; developers no longer have to provision or manage servers to execute their applications and companies only pay when code is executed,” said Daniel Langer, product manager at Datadog. “With Datadog’s AWS Lambda integration, users gain insight into their serverless application’s performance by adding additional logging.”

Application architectures have fundamentally changed over the past decade and have evolved towards building a single application as a set of small stateless services. With these changes emerged new compute primitives. AWS Lambda enables developers to quickly deploy, easily maintain, and elastically scale microservices without the need to manage and manually scale server infrastructure. AWS Lambda reduces the operational complexities of building and running applications, freeing developers to focus on building great applications instead of managing infrastructure. AWS Lambda functions can be triggered via application program interface (API), through in-app actions, or by AWS events, such as a new object being added to an Amazon Simple Storage Service (Amazon S3) bucket.

The difficulty with monitoring serverless functions is exactly that: the servers that run the code are not exposed to the developers. This means traditional monitoring methods that rely on a host-based agent do not apply to AWS Lambda functions. Now with Datadog’s AWS Lambda integration, developers can emit custom metrics specific to their AWS Lambda functions, right from the functions themselves, on top of monitoring the metrics provided via Amazon CloudWatch. Once collected, these metrics can then be used to create visualizations and alerts alongside operational data from the rest of the infrastructure environment for actionable insight.

“AWS Lambda enables developers to run code without needing to provision or manage servers. Customers have already leveraged AWS Lambda to build serverless applications of all types ranging from web applications to mobile backends to stream data processing solutions,” says Terry Wise, Vice President of Worldwide Partner Ecosystem, Amazon Web Services, Inc. “Datadog has been a long-term member of the AWS Partner Network (APN) and we are pleased that they have integrated offerings with AWS Lambda, providing developers with a simple and cost-effective option for visualizing and monitoring their serverless applications logs.”

Datadog offers integrations with the following AWS products:

• AWS CloudTrail • Amazon DynamoDB • AWS Elastic Beanstalk • Amazon Elastic Compute Cloud (Amazon EC2) • Amazon ElastiCache • Elastic Load Balancing (ELB) • Amazon Elastic MapReduce (Amazon EMR) • Amazon EC2 Container Service (Amazon ECS) • Amazon Kinesis Firehose • Amazon Kinesis • AWS OpsWorks • Amazon Redshift • Amazon Relational Database Service (Amazon RDS) • Amazon Route53 • Amazon Simple Email Service (Amazon SES) • Amazon Simple Notification Service (Amazon SNS) • Amazon Simple Queue Service (Amazon SQS) • AWS Storage Gateway Additional Resources

New eBook from Datadog + AWS: Monitoring in the Cloud

Blog post: Monitoring Lambda functions with Datadog

About Datadog

Datadog is the world’s leading monitoring service for cloud-scale applications, bringing together data from servers, databases, tools and services to present a unified view of your entire stack. These capabilities are provided on a SaaS-based data analytics platform that enables Dev and Ops teams to work collaboratively to avoid downtime, resolve performance problems, and ensure that development and deployment cycles finish on time. Since launching in 2010, Datadog has been adopted by thousands of enterprises, including Twilio, Airbnb, Netflix, EA, Spotify, Warner Bros. Games and AdRoll.


Heather Fitzsimmons