As government agencies accelerate migrating their operations to the cloud, they need to adhere to strict compliance and security standards. The Federal Risk and Authorization Management Program (FedRAMP) provides the standard that these agencies—and their private-sector partners—must meet to work and manage federal data safely in the cloud.

Azure IoT Edge is a Microsoft Azure service that allows you to run containerized workloads on IoT devices. With IoT Edge and Azure IoT Hub, Azure’s device-management platform, organizations across science, manufacturing, energy production, and other industries can provision their IoT devices and workloads at the edge of their cloud networks for immediate in-unit computing, a necessity when running AI algorithms or parsing large datasets directly on IoT devices.

Modern datacenters can contain thousands of network appliances, such as routers, switches, firewalls, and servers, so it’s important for your monitoring strategy to provide comprehensive visibility into every piece of your infrastructure. Datadog Network Device Monitoring already allows you to collect a wealth of telemetry from all of your SNMP-managed devices, which are automatically discovered by the Datadog Agent.

Istio is an open source service mesh that provides an abstraction layer for network traffic between applications, so you can run canary deployments, implement circuit breakers, and otherwise manage the architecture of your network using high-level configuration files. As service meshes become increasingly popular among containerized environments, dev and ops teams need to ensure that Istio is healthy, performant, and routing traffic as intended to keep their network infrastructure running smoothly.

Serverless platforms like AWS Lambda have helped accelerate application development by removing the need to provision and manage infrastructure resources. However, serverless architecture presents new monitoring challenges. Because AWS Lambda handles underlying infrastructure for you, you don’t have access to system-level metrics. Instead, you have to monitor your Lambda functions for insight into their performance and resource usage.

NVIDIA Jetson is a family of embedded, low-power computing boards designed to support machine learning and AI applications at the edge. Organizations use Jetson boards for complex video and image processing and analysis, automating build processes in factories, and improving city infrastructures. For example, Jetson-based devices enable cities to analyze traffic patterns with their existing traffic cameras in order to find ways to improve their most congested intersections.

Since 2018, Watchdog has provided automatic, machine learning-based anomaly detection to notify you of performance issues in your applications. Earlier this year, Watchdog started grouping APM anomalies across your services, allowing you to better understand the scope of the issue.