How Palo Alto Networks Takes Control of Its High-Stakes Cloud
Learn how Palo Alto Networks dramatically reduced its cloud costs with Sedai
Optimize Without Risking Performance
Your observability tools already capture how your services behave under load. Sedai considers that signal with every optimization decision, so infrastructure changes don't trade efficiency for reliability.
Your Monitoring Stack Sees Everything. Optimization Doesn't.
APM and observability tools generate the right signal. It just never reaches the systems making resource decisions.
Metrics live in silos.
CPU and memory sit in your cloud console. Latency and error rates live in Datadog or Dynatrace. Nothing connects them.
Low utilization isn't the same as safe to reduce.
A service at 30% CPU might be absorbing bursts or sitting upstream of a latency-sensitive path.
Alerts fire after the damage is done.
Tracing a regression back to the resource change that caused it means manual log digs and timeline comparisons.
Key Capabilities
By connecting to your APM tools, Sedai moves beyond utilization metrics to understand how resource changes actually affect your applications.
Correlate Infrastructure Metrics With Application Behavior
Sedai combines CPU and memory data with latency, error rates, and traffic signals, building a complete model of each workload before taking any action.
Catch the Optimizations That Would Have Caused Problems
A service with low CPU utilization might still be latency-sensitive. Sedai identifies these cases and avoids changes that would reduce efficiency without improving safety.
Connect Multiple Providers Into a Single Model
For instance, use CloudWatch for infrastructure metrics and Datadog for APM data simultaneously. Sedai correlates signals across all connected sources into one unified view of each workload.
"Sedai has helped us save millions of dollars by optimizing and managing our own back-end services. But most importantly, what Sedai has done very well is allow us to respond in real time when anomalies are detected."
Suresh Sangiah
SVP of Engineering // Palo Alto Networks
Works With Your Stack
AppDynamics
Chronosphere
Datadog
Dynatrace
Elasticsearch
Prometheus
Cloud Monitoring
Grafana
Mimir
Netdata
New Relic
Splunk
VictoriaMetrics
Wavefront
The Sedai Difference
Without Sedai
- Optimization decisions based on CPU and memory alone
- APM tools and optimization tooling are disconnected workflows
- Low utilization is treated as a safe signal to reduce resources
- A single monitoring source limits the accuracy of the model
- SLO violations are discovered after the optimization is applied
- Every decision accounts for latency, error rates, and traffic alongside infra metrics
- Sedai connects directly to existing monitoring providers — no new agents required
- Sedai checks application behavior before acting — low CPU doesn't always mean safe to cut
- Sedai connects multiple providers simultaneously for a unified workload view
- Application performance signals are part of the safety check before every action
Resources
Sedai for Google Cloud
Sedai delivers safe, autonomous optimization for GCP, including BigQuery and GKE.
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Sedai Platform Overview
See how Sedai's patented platform does cloud optimization, safely & autonomously.
Infrastructure Efficiency
That Doesn't Come at the Cost of Application Performance