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.

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.

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.

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.

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).

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.

Google Kubernetes Engine (GKE) is the preferred way to run Kubernetes on Google Cloud as it removes the operational overhead of managing the control plane. Earlier today, Google Cloud announced the general availability of GKE Autopilot, which manages your cluster’s entire infrastructure—both the control plane and worker nodes—so that you can spend more time building your applications.

Being able to track and aggregate data by region is important when monitoring your application. It can provide visibility into where errors and latency might be occurring, where security threats might be originating, and more. Now, you can use Datadog geomaps to visualize data on a color-coded world map. This helps you understand geographic patterns at a glance, including where users are experiencing outages, app revenue by country, or if a surge in requests is coming from one particular location.