Sentrilite

Get Full Details on What's Driving Your Hybrid-Cloud Costs

Cloud costs are rarely a mystery at the billing level — the mystery is which process on which server is responsible. Your cloud provider tells you the total. Sentrilite tells you who's generating it.

Because Sentrilite monitors every network connection your servers make at the kernel level, it can see exactly which process is talking to which cloud service, how much data it is transferring, and whether that traffic is crossing regions — one of the most common sources of unexpected cloud cost.

No cloud API credentials required. No changes to your application code.

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☁ Cloud Traffic Efficiency Report — node: api-prod-01
▶ java (payment-service, PID 1234)
s3.us-east-1.amazonaws.com 4,821 calls · 2.3 GB out
dynamodb.us-east-1.amazonaws.com 12,440 calls · 45 MB out
s3.eu-west-1.amazonaws.com cross-region ⚠ 892 calls · 1.1 GB out
▶ python3 (data-pipeline, PID 5678)
storage.googleapis.com high volume ⚠ 28,441 calls · 45 GB out
169.254.169.254 metadata hammering ⚠ 9,821 calls
▶ node (api-gateway, PID 9012)
lambda.us-east-1.amazonaws.com 1,204 calls · 12 MB out
s3.ap-southeast-1.amazonaws.com cross-region ⚠ 340 calls · 890 MB out

How It Works

Sentrilite monitors network connections at the kernel level — below the application, below the SDK, below any abstraction layer. Every connection your server makes is captured with the process name, destination, and data volume. No instrumentation of your code required.

1

Capture Every Connection

Every outbound network call from every process is captured — including calls made by background threads, SDKs, and third-party libraries you didn't write.

2

Resolve to Cloud Services

Destination IPs and hostnames are resolved to named cloud services — S3, DynamoDB, GCS, Azure Blob, Lambda — so the report is readable, not just a list of IP addresses.

3

Attribute to Processes

Every call is attributed to the exact process and service that made it — payment-service, data-pipeline, api-gateway — so you know who to talk to.

4

Flag Anomalies

Cross-region transfers, metadata service hammering, unexpectedly high volumes, and services calling cloud APIs they shouldn't — all automatically flagged.

5

One-Click Report

Generate a PDF report from the dashboard in one click — ready to hand to your engineering team or cloud architect with specific findings and the processes responsible.

What Sentrilite Flags

Sentrilite doesn't just show you traffic — it identifies the specific patterns that consistently drive unnecessary cloud costs.

⚠ Automatic Cost Anomaly Detection

These patterns are flagged automatically in every Cloud Traffic Efficiency Report.

🌍

Cross-Region Data Transfer

A service in us-east-1 reading from an S3 bucket in eu-west-1 pays AWS inter-region transfer fees on every byte. Sentrilite identifies exactly which process is making cross-region calls and how much data is involved — the single most common source of surprise cloud bills.

🔁

Metadata Service Hammering

Applications that call the cloud metadata service (169.254.169.254) thousands of times per hour are refreshing credentials or instance data far more often than necessary. This is almost always a misconfiguration — credentials should be cached. High call rates indicate wasted compute cycles and potential instability.

📤

Unexpected High-Volume Transfers

A process transferring 10x more data than its peers — or more data than yesterday at the same time — is flagged. This catches both cost anomalies and potential data exfiltration in one signal.

🔀

Services Calling Cloud APIs They Shouldn't

If your nginx process is making calls to S3, or your database is calling Lambda, something is misconfigured. Sentrilite flags any process making cloud API calls that don't match its expected role — catching misconfigurations before they become runaway costs.

☁️

Multi-Cloud Sprawl

In hybrid and multi-cloud environments, services sometimes end up talking to the wrong cloud — AWS services calling GCP endpoints, or production services calling development cloud accounts. Sentrilite makes this visible at the process level.

What the Report Covers

Per-Process Cloud Traffic Breakdown

Every process on every monitored server, ranked by outbound data volume. You see at a glance which services are the biggest cloud traffic generators.

  • Process name and service identity
  • Destination cloud service (S3, GCS, Azure Blob, Lambda etc.)
  • Call count and data volume per destination
  • Traffic trend — increasing, stable, or decreasing

Cross-Region Traffic Analysis

Inter-region data transfer is billed by AWS, GCP, and Azure at premium rates. Sentrilite identifies every cross-region call and the process making it — giving your team a specific target to fix.

  • Source region vs destination region for every call
  • Estimated transfer volume per cross-region path
  • Process responsible for each cross-region pattern
  • Flagged as high-priority cost optimization target

Multi-Cloud Visibility

Sentrilite resolves connections to AWS, GCP, and Azure services simultaneously — giving you a single view of cloud traffic across all providers from a single report.

  • AWS — S3, DynamoDB, Lambda, EC2, RDS, SQS, SNS
  • GCP — Cloud Storage, BigQuery, Pub/Sub, Cloud Run
  • Azure — Blob Storage, Cosmos DB, Service Bus, Functions
  • Unknown endpoints flagged for review

Node-Level & Fleet-Level Reports

Generate a detailed report for a single server or a rolled-up fleet summary across your entire infrastructure — both available from the same dashboard in one click.

  • Single-node report — deep dive into one server
  • Fleet summary — top offenders across all nodes
  • Comparison view — this week vs last week
  • PDF output ready for engineering or finance review

See What's Driving Your Cloud Bill

One command to install. One click to generate your Cloud Traffic Efficiency Report. No cloud credentials required.

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