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@arshadmas ・ Jul 07,2025 ・ 3 min read
Keeping mission-critical workloads healthy on Google Cloud Platform (GCP) isn’t optional—it’s your job. As organizations increasingly move to GCP for its elasticity and scalability, the complexity of managing cloud-native and hybrid environments grows. For ITOps and CloudOps professionals, the challenge is clear: keep services available, performant, and cost-efficient—without getting buried under telemetry noise.
In this article, we’ll dive into the key factors you should keep in mind when picking the right GCP monitoring solution for your company. Whether you’re just starting out or looking to upgrade, we’ll help you understand what really matters so you can make the best choice for your needs.
GCP monitoring is all about keeping an eye on how your Google Cloud Platform resources are performing and staying available. It means tracking things like virtual machines, databases, and apps in real time so you can catch any hiccups early. By doing this, you get useful insights that help you fix issues before they become a problem, keeping your operations running smoothly.
Built-in tools for cloud monitoring and cloud logging are great for getting started—but they fall short in hybrid, multi-cloud, or microservices-heavy setups. Here’s why monitoring is mission-critical:
Even with mature observability tooling, CloudOps teams regularly run into friction. Here are the common roadblocks:
To stay ahead of incidents and control performance across your stack, your monitoring solution must go beyond basic uptime checks.
ManageEngine Applications Manager is purpose-built for ITOps and CloudOps teams managing hybrid environments. It provides visibility into GCP while integrating smoothly with legacy systems.
Key capabilities include:
Whether you’re managing a multi-region GKE cluster or trying to right-size VMs in a hybrid stack, Applications Manager simplifies your observability game.
Ready to take control of your GCP observability strategy? Start a free 30-day trial of Applications Manager and see how it helps you stay on top of your dynamic, distributed cloud workloads—with no blind spots.
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