Datadog Announces Support for Application Monitoring with AWS App Runner
Datadog (NASDAQ: DDOG) announced its support for application monitoring with AWS App Runner, becoming a Launch Partner for this new fully managed service. This integration enables engineering teams to monitor their applications without managing infrastructure. Key monitoring capabilities include identifying errors, ensuring resource adequacy, scaling efficiently, and maintaining security oversight. Datadog aims to streamline the deployment and scaling of applications, providing customers with improved performance tracking and issue resolution capabilities.
- Integration with AWS App Runner enhances Datadog's monitoring functionalities.
- Customers can monitor application performance comprehensively, improving troubleshooting speed.
- The partnership simplifies application deployment and scaling for users.
- None.
NEW YORK, May 18, 2021 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), a monitoring and security platform for cloud applications, today announced support for application monitoring with AWS App Runner, joining Amazon Web Services (AWS) as a Launch Partner for the new fully managed service. This new functionality will help engineering and product teams scale, deploy, and monitor their apps without the burden of managing their own infrastructure.
AWS App Runner is a purpose-built container application service that enables customers to build and run containerized web applications and APIs with no prior container or infrastructure experience required. Customers can simply provide their source code, container image, or deployment pipeline and AWS App Runner will build and deploy the application, automatically handling the load balancing, encryption, and scaling needed.
The Datadog integration with AWS App Runner allows customers to comprehensively monitor their applications managed by AWS App Runner to:
- Identify errors: track the success rate of requests to detect issues in code leading to errors.
- Ensure adequate resourcing: get visibility into applications with under or over-provisioned compute and memory.
- Know when to scale up or down: understand application latency to set the right autoscaling rules.
- Ensure security: observe and analyze all AWS App Runner API activity.
"At Datadog, we're focused on helping customers monitor their applications wherever and however they run," says Ilan Rabinovitch, Senior Vice President, Product and Community at Datadog. "Using AWS App Runner, customers can now more easily deploy and scale their web applications from a container image or source code repository. With our new integration, customers can monitor their AWS App Runner metrics, logs, and events to troubleshoot issues faster, and determine the best resource and scaling settings for their app."
"We are pleased to see Datadog integrating its monitoring capabilities with AWS App Runner at launch," says Fernando Zandona, General Manager, Serverless Containers at AWS. "By removing the need to manage and configure infrastructure, AWS App Runner makes it easy for teams to build, deploy, and run modern web applications in just a few minutes. We are pleased that developers can use Datadog's observability platform to better track application performance and debug issues more quickly using AWS App Runner."
Customers can start monitoring AWS App Runner by following the steps in Datadog's documentation: https://docs.datadoghq.com/integrations/amazon_app_runner/
For more information, please visit: https://www.datadoghq.com/blog/aws-app-runner-monitoring/
About Datadog
Datadog is the monitoring and security platform for cloud applications. 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, 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. 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 7, 2021, 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
For Datadog
Martin Bergman
press@datadoghq.com
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SOURCE Datadog, Inc.
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