Dynamic Environments Monitoring

Monitor your infrastructure at any scale across all hybrid environments and see your entire estate in one platform

Why are savvy techs steering towards dynamic environments?

G infographic Full Stack visibility 1CODE LIBRARIESLOGSSTATSDORCHESTRATION MANAGERSMonitoring Hosted environmentof orchestratorAutodiscover all PodsORCHESTRATEDNETPROBE

Dynamic environments are becoming the choice for most enterprises because they allow operating at scale without sacrificing application uptime.

There are many options out there to run your applications dynamically, from on-demand and elastic server availability in cloud environments, to containers, microservices and orchestrators like Kubernetes and OpenShift. These orchestrated environments can be set up on-prem, hybrid cloud or multi-cloud environments using Azure, AWS and Google Cloud Platform.

Orchestrated Environments

Make ITRS Geneos a part of your microservices strategy

Built for the most demanding and highly complex environments, our latest version of ITRS Geneos provides the tools you need to monitor containers, microservices, serverless applications and other virtual environments.

MonPod: ITRS Group's podcast

Want to know what the ITRS Group Professional Services team have learnt about monitoring dynamic environments while working with teams from the most demanding environments? Listen to our podcast below.

In highly dynamic environments, you need a monitoring solution that will scale with your applications

Full stack monitoring for orchestrated platforms

ITRS Geneos collection agents run natively within orchestrated environments and scale up and down along with your application. Here's how:

Icon Monitoring Data Collection

Using StatsD as one of the industry standard services to collect application metrics

Icon Monitoring Monitoring

Monitoring the hosting environment of the orchestrator 

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No logs left behind – scan application and platform logs for alerts

Icon Monitoring Autodiscovery

Auto discover all Pods in your environment

Java and Python agents are essential for collecting metrics, finding bottlenecks, providing detailed memory and CPU usage insight. The give you inside-the-app monitoring capabilities. 

Icon Monitoring App performance monitoring

Integrated with today’s platforms