Operations | Monitoring | ITSM | DevOps | Cloud

Datadog

Trace AWS event-driven serverless applications with Datadog APM

Last year, we released native tracing for AWS Lambda through Datadog APM to provide deep visibility into serverless functions and surface performance issues such as cold starts and errors, without any added latency. But Lambda functions are only one piece of the puzzle in a rapidly growing serverless ecosystem, which includes message queues, data streams, notification services, and more.

Best practices for monitoring Microsoft Azure platform logs

Microsoft Azure provides a suite of cloud computing services that allow organizations across every industry to deploy, manage, and monitor full-scale web applications. As you expand your Azure-based applications, securing the full scope of your cloud resources becomes an increasingly complex task. Azure platform logs record the who, what, when, and where of all user-performed and service account activity within your Azure environment.

Monitor debugging data with NerdVision's integration in the Datadog Marketplace

NerdVision is a live debugging platform that enables users to take snapshots of their application’s state at runtime. NerdVision is compatible with .NET, Java, Node.js, Python, and ColdFusion applications—no matter where they are hosted—and doesn’t require any changes to the source code.

Monitor Juniper network devices with Datadog

Juniper Networks provides a range of IT network and security devices, including routers, switches, access points, and firewalls. As you scale your on-prem infrastructure with potentially thousands of devices distributed across multiple locations, getting visibility into your entire network can easily become a pain point.

Accelerate your logs investigations with Watchdog Insights

If you’re investigating an incident, every minute means degraded performance or even downtime for customers. The causes of an issue often come from parts of your systems and applications that you would not think to check, and the sooner you can bring these to light, the better.

Key metrics for monitoring AWS Fargate

AWS Fargate provides a way to use AWS container orchestration services—Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS)—without needing to provision and maintain the infrastructure that runs your containers. Fargate is similar to serverless container platforms from Google (Cloud Run) and Microsoft (AKS virtual nodes).

How to collect metrics and logs from AWS Fargate workloads

In Part 1 of this series, we showed you the key metrics you can monitor to understand the health of your Amazon ECS and Amazon EKS clusters running on AWS Fargate. In this post, we’ll show you how you can: You can use Amazon CloudWatch and related AWS services to gain visibility into your ECS clusters and the Fargate infrastructure that runs them.

AWS Fargate monitoring with Datadog

In Part 1 of this series, we looked at the important metrics to monitor when you’re running ECS or EKS on AWS Fargate. In Part 2 we showed you how to use Amazon CloudWatch and other tools to collect those metrics plus logs from your application containers. Fargate’s serverless container platform helps users deploy and manage ECS and EKS applications, but the dynamic nature of containers makes them challenging to monitor.