placemy.cloud
Features

What placemy actually does.

Everything on this page ships in the binary today. We measured 24–67% savings across five real workloads in the dissertation evaluation. Here is how.

Discover

Multi-cloud VM discovery

Finds every running EC2 instance, Azure VM, and GCP Compute Engine instance across all accounts you authenticate. No agents required — uses your existing cloud credentials.

CPU and memory utilisation profiling

Pulls real metrics from CloudWatch, Azure Monitor, and Cloud Monitoring. Calculates average, P50, P95, P99, and peak utilisation. Not a guess — measured data from the last 24 hours (or up to 14 days).

Works with what you already have

Uses the standard credential chain (AWS SSO, az login, gcloud auth). If your terminal can talk to your cloud, placemy can scan it. No separate service account, no IAM role to build.

Analyse

18,000+ instance types compared

Pricing catalogues from AWS and Azure, refreshed daily. Every candidate is filtered by OS, region availability, and current-generation status. No manual spreadsheet work.

P95-based sizing, not peak or average

Average CPU of 5% and peak of 90% could mean either a bursty workload or a steady one with a single spike. We use P95 to size correctly for the workload's real pattern, not the outlier.

Memory-aware recommendations

If you have a monitoring agent installed (CloudWatch Agent, Azure Monitor Agent, Ops Agent), we factor in memory pressure. We never recommend downsizing memory on a VM that's using 80%+ of it.

Cross-cloud comparison

The same workload might cost 67% less on a different provider in the same region. We check both directions — AWS to Azure and Azure to AWS — and show you the numbers.

Report

Self-contained HTML report

One file, no internet required. Open it in a browser and see every VM, its utilisation profile, the recommended alternatives ranked by savings, and the evidence trail explaining why each is safe.

Machine-readable JSON

Every recommendation is available as structured JSON for your own automation — pipe it into Terraform, feed it to a FinOps tool, or build a Slack notification.

Completely read-only

Scanning never mutates anything in your cloud account. No resources are changed, no tags are written, no instances are stopped. You decide what to act on after reading the report.

On the roadmap

Storage optimisation (S3/Blob lifecycle, orphan EBS volumes), reserved-instance and savings-plan modelling, and container workload support are in development. They are not on this page because they are not in the binary yet.