September 9, 2025
4 Ways AppNeta Enhances Cost-Focused Cloud Planning
From Cost Governance to Performance Intelligence with Network Observability by Broadcom
5 min read

Written by: Nestor Falcon Gonzalez
|
Key Takeaways
|
|
Enterprises are hemorrhaging their cloud budget: respondents in 49% of organizations estimate their cloud spending is wasted due to unchecked provisioning and lack of predictive cost governance. This cost inefficiency stems not just from financial blind spots, but also from operational gaps: poor visibility into network reliability and user experience.
Real-time, end-to-end visibility is the foundation of cloud optimization. AppNeta by Broadcom offers that missing layer with enough granularity to execute your cost governance strategy.
In this blog, you’ll learn how AppNeta can capture real-time network and SaaS performance insights during and after workload placement. See how these insights enable cloud architects to correlate wasted spending with performance degradation, detect misconfigurations, and right-size or relocate workloads proactively.
Overprovisioning as a mistaken response to latency
We often see a costly blind spot in which teams mistakenly overprovision resources to solve a latency problem. Users complain about slow response. The immediate reflex is to add more computing power, but the root cause is often a bottleneck in the network path.
AppNeta’s active monitoring detects high-latency segments and packet loss between users and apps in real time. For example, take a global retail organization with users in the EU experiencing severe slowness. This can often lead to a cost spike if extra computing capacity is added in the cloud. However, AppNeta can quickly reveal congested peering links, enabling a fix for the network path—without requiring a single extra virtual machine.
This kind of visibility saves money and keeps cost governance grounded in reality.
Establishing performance baselines before moving workloads
AppNeta can establish network and application performance baselines before, during, and after migration, providing unparalleled, real-time visibility into the impact of workload migrations on user experience.
The screenshot below offers an example of AppNeta quickly identifying a degradation in user experience after a workload move. This offers a great illustration of how AppNeta can help your organization to achieve the best balance of performance, control, and cost efficiency in managing workload placement.

Using real-time network performance to identify idle resource waste
Have you ever paid for a cloud service that's not being used? This often happens when poor network performance prevents users from even reaching these resources.
You're still paying the bill, but no one is getting any value. So, how can you make sure your cloud spending actually delivers value instead of just draining your budget? AppNeta helps you ensure your cloud spending is worthwhile. It automatically identifies these performance issues, revealing why users can't connect reliably and why adoption is lagging.
Geography and application performance hotspot visibility
Choosing the less expensive cloud region does not always translate to reduced costs. If your users face high latency or jitter, they will work less efficiently, complain more, or even abandon the service, introducing hidden costs.
AppNeta continuously measures real user paths, showing where performance bottlenecks emerge. The solution helps your teams apply a user experience perspective to the selection of the appropriate region for deploying your workloads. In the process, you can improve user experience and avoid churn. (Read this article to learn how Microsoft is using AppNeta to monitor the user experience of their employees.)
Getting started: Practical first steps
Here are a few quick ways to harness better performance visibility to start cutting cloud waste:
- Map critical cloud paths. Use AppNeta to baseline latency, jitter, and packet loss for the cloud services your teams depend on most.
- Leverage real-time or deviation from normal alerts. Make use of dynamic thresholds so you immediately know when network issues are affecting the adoption or consumption of your resources.
- Correlate usage with performance. Compare utilization rates against AppNeta data to spot when poor performance is creating waste.
- Review workload placement. Leverage AppNeta insights to validate that workloads and services are hosted where users will get the best experience, not just running on the lower-price location.
These simple steps will give you immediate visibility into where spending and performance diverge, providing the foundation for deeper cost optimization.
Cloud cost waste does not just come from idle computing or oversized storage. Waste often comes from paying for resources that are not being accessed or adopted by your users. AppNeta closes that gap with real-time visibility into performance blind spots, such as WAN latency, ISP path health, and end-user experience. This insight allows your team to address the root cause of performance issues, preventing you from overspending on misdiagnosed problems. With AppNeta, you can turn performance insights directly into cost savings.
Applying these principles is especially critical as workloads are distributed across complex, multi-cloud environments. To learn more about how AppNeta by Broadcom delivers this unified visibility, explore our approach to multi-cloud observability.
Tag(s):
AppNeta
,
Network Monitoring
,
Network Observability
,
Network Management
,
Multi-Cloud Environments
,
Cloud
,
Provisioning
,
Latency
Nestor Falcon Gonzalez
Nestor holds a Master's Degree in Telecommunication Engineering and has over 20 years of experience in Telco, Network and Infrastructure Operations in different roles: SWAT, pre-sales and Solution Architect. He focuses on helping customers on their network transformation, driving innovation and providing value for...
Other content you might be interested in:
Rally Office Hours: June 11, 2026
Watch the June 11, 2026, Rally Office Hours for updates on Academy resources, custom page migration goals, AI documentation, and upcoming Q3 roadmap news.
AAI–Defining and Managing Jobstream SLAs
This course introduces the key concepts of SLA management in AAI, including SLA types, Start-By times, and conditional SLA rules.
How to Install Automic Automation Kubernetes Edition v26 in Azure
Master the deployment of Automic Automation v26 on Azure AKS. Cover database setup, TLS certificates, and the new Kubernetes Gateway API.
How to Install Automic Automation Kubernetes Edition v24 in Azure
Deploy Automic Automation Kubernetes Edition v24 on Azure AKS with this step-by-step installation and configuration guide.
How to Install Automic Automation Kubernetes Edition v26 in AWS
Learn how to deploy Automic Automation Kubernetes Edition v26 on AWS EKS with this step-by-step guide for configuring databases, secrets, and agents.
How to Install Automic Automation Kubernetes Edition v24 in AWS
See how to deploy Automic Automation v24 on AWS EKS. Learn about using Fargate, Helm charts, PostgreSQL, and AWS Load Balancer Controller.
How to Install Automic Automation Kubernetes Edition v24 in GCP
This guide walks you through the steps to deploy Automic Automation Kubernetes Edition v24 into Google Kubernetes Engine (GKE) on the Google Cloud Platform (GCP).
How to Install Automic Automation Kubernetes Edition v26 in GCP
Discover the steps needed to deploy Automic Automation Kubernetes Edition v26 into Google Kubernetes Engine (GKE) on the Google Cloud Platform (GCP).
Speed with Confidence: Managing Delivery Risk in an AI-driven Development World
Stop relying on hunches and guesswork to track and manage delivery progress. Rally's milestone delivery confidence capability offers a data-driven approach.