Datadog (Nasdaq: DDOG), the monitoring and analytics platform for developers, IT operations teams, and business users in the cloud age, announced today that it has achieved the AWS Lambda Ready designation, part of the Amazon Web Services (AWS) Service Ready Program. This designation validates that Datadog’s cloud monitoring platform has demonstrated deep integration with AWS Lambda.
Serverless Cloud Functions, including AWS Lambda, decouple the need to provision and maintain a runtime environment from running code, allowing developers to focus on applications rather than infrastructure. By abstracting the underlying infrastructure of an application, serverless architectures introduce new challenges into monitoring and observability. Datadog addresses this problem with its AWS Lambda integration, which gives developers deep insight into their serverless functions by tracking key metrics like execution times, number of invocations, and errors.
“Datadog is pleased to achieve AWS Service Ready status for AWS Lambda,” said Daniel Langer, Director of Product, Cloud Integrations at Datadog. “Serverless functions are increasingly becoming the glue that links together disparate cloud services. Datadog’s integration with AWS Lambda allows software developers to gain full operational visibility into the performance of their business-critical functions.”
Datadog recently released new Lambda monitoring features, including an integration with AWS Step Functions, and native support for Distributed Tracing for AWS Lambda with Datadog APM. Datadog also released The State of Serverless research report, examining the serverless usage of thousands of companies, with a focus on AWS Lambda.
Datadog is the monitoring and analytics platform for developers, IT operations teams and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of 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 and business teams, accelerate time to market for applications, reduce time to problem resolution, understand user behavior and track key business metrics.
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