Balancing operational performance with cost efficiency is critical in today’s cloud-native world. As organizations shift to the cloud, cost observability becomes a critical aspect of managing and optimizing expenses and infrastructure performance. Whether you’re running applications on Kubernetes or leveraging multi-cloud environments, gaining insight into spending patterns is essential for maximizing your cloud return on investment (ROI). Cloud cost observability platforms like Amnic provide continuous monitoring of costs, recommend areas for improvement, and ensure resource usage is efficient without compromising performance. By keeping an eye on a few key metrics, you can make informed decisions around rightsizing your cloud infrastructure, optimizing Kubernetes clusters, and ensuring greater availability while maintaining more control over budgets. In this presentation, we’ll explore 10 important cloud cost observability metrics you should monitor to keep cloud infrastructure running efficiently and at a reasonable cost. This post will emphasize metrics that relate to both cost management and service performance in cloud-native environments, helping you get the most out of your cloud investments.

1. CLOUD COST
CLOUD COST
OBSERVABILITY
OBSERVABILITY
METRICS TO
METRICS TO
WATCH
WATCH
to optimize cloud performance
& control spending
TOP 10

2. Tracking CPU and memory usage ensures resources
are efficiently allocated and reduces both
underutilization and performance degradation.
Best Practice: Use tools like Kubernetes dashboards
and Amnic to rightsize instances and enable
autoscaling.
Compute Resource Utilization
01
Mismanaged storage and data transfer can
significantly increase cloud costs. Monitor data egress
and optimize storage tiers to reduce spending.
Best Practice: Use compression and move rarely
accessed data to cold storage.
Data Transfer and Storage Costs
02

3. Excessive inter-region data transfer and bandwidth
consumption can quickly inflate costs.
Best Practice: Monitor traffic and use CDNs to reduce
bandwidth use and costs.
Network Traffic and Bandwidth Usage
03
Overprovisioned nodes or misconfigured pods can
drive up costs without improving performance.
Best Practice: URight-size nodes and consider spot
instances for non-critical workloads.
Kubernetes Node and Pod Costs
04

4. Unused resources like unattached volumes can
accumulate, leading to wasteful spending.
Best Practice: Automate the cleanup of idle resources
and run regular audits to identify inefficiencies.
Idle and Abandoned Resources
05
Autoscaling dynamically adjusts resources based on
demand, while spot instances offer cost-effective,
preemptible capacity.
Best Practice: Leverage Kubernetes autoscaling
features and spot instances to reduce cloud costs.
Autoscaling and Spot Instances
06

5. AWS, Azure, and GCP offer various services, each with
distinct pricing models.
Best Practice: Optimize resource allocation by
evaluating services and utilizing savings plans or
reserved instances.
Cloud Service-Specific Costs
07
Track data storage, processing, and egress to ensure
efficient use of cloud resources and prevent
unnecessary costs.
Best Practice: Implement compression and monitor
egress costs, especially in multi-cloud environments.
Data Observability for Cost
Management
08

6. Unexpected cost spikes can occur due to
configuration errors or security issues.
Best Practice: Set up alerts and conduct root cause
analysis to resolve anomalies promptly.
Anomaly Detection in Cloud Billing
09
Accurate cloud budgeting helps prevent overages and
ensures long-term financial control.
Best Practice: Use predictive analytics to forecast
spending based on historical usage patterns.
Budgeting and Forecasting
10

7. CLOUD COSTS
CLOUD COSTS
with
with Amnic
Amnic
TAKE CONTROL OF
Platforms like Amnic make it easy to manage costs and
ensure high efficiency across your cloud environment.
Want to sign up for a 30-day free trial or request a
demo to see Amnic in action? Visit www.amnic.com to
learn more!