Monitor AWS GovCloud (US) with Datadog
Amazon's AWS GovCloud (US) offers two isolated regions in its ecosystem specifically designed for US customers who meet strict security and compliance standards. Datadog has achieved Moderate-Impact authorization from the Federal Risk and Authorization Management Program (FedRAMP), allowing it to safely and securely monitor infrastructure and workloads running in AWS GovCloud (US) environments. Datadog provides complete visibility into your AWS GovCloud (US) environment, enabling you to monitor infrastructure and visualize key data such as host health, latency distribution, memory allocation, error rates, endpoint performance, and more. It integrates with over 650 unique technologies, allowing you to surface problems and find their correlating factors across the entirety of your stack. Datadog also offers full-stack AWS monitoring by integrating with the full suite of AWS services, including Amazon EC2, AWS Lambda, and Amazon S3. This makes it easy to gather business-critical metrics from your AWS GovCloud (US) environment into Datadog. Additionally, you can view logs and metrics from any services running in your stack using the Datadog Agent. Datadog simplifies inventory management by monitoring key infrastructure metrics on hosts, containers, processes, networks, and more, providing real-time insight into the overall posturing of your environment. It also helps manage cloud asset inventory by allowing you to tag host instances within your GovCloud environment according to criteria like OS and hardware version, Region, AMI ID, or Kubernetes cluster. Datadog provides unified visibility into your entire AWS environment, including services running in AWS GovCloud (US), with FedRAMP's Moderate-Impact authorization. Existing Datadog customers can set up their AWS GovCloud (US) integrations now, while new users can start a 14-day free trial.
Company
Datadog
Date published
Jan. 26, 2022
Author(s)
Ari Shahar, Jonathan Epstein
Word count
706
Language
English
Hacker News points
None found.