> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Amazon Web Services on Vortex IQ > Monitor Amazon Web Services health, cost and reliability signals, and catch incidents and runaway spend early. Monitor Amazon Web Services health, cost and reliability signals, and catch incidents and runaway spend early. [Connect or manage this source](https://app.vortexiq.ai/workbench/settings/sources) · [How connecting works](/integrations/connector-catalogue) · [Create a workflow](https://app.vortexiq.ai/workbench/flows/create?connector=aws) performance signals automated checks automated fixes workflows API operations ### What you can achieve Capabilities are grouped around merchant outcomes, not API terminology. Monitor orders, fulfilment, delivery and settlement. Keep tracking, access and change under governed control. ### From connection to verified outcome The controlled sequence every capability follows. Nothing changes a connected system without the approval step. Authorise the source. Scopes are shown before access is granted. Watch the signals against your own baselines, not universal defaults. Run checks and gather evidence specific to your store. Explain what happened, why it matters and the proposed action. You review scope, risk and reversibility before anything changes. Apply through governed connector operations. Confirm the intended result and keep the receipt. No changes are made without the configured approval policy. Read-only operations do not modify the connected system; schedules, access scopes, API usage and data handling remain governed by Vortex IQ controls. ### Monitor performance 20 performance signals. Open an outcome to see its signals and how each one alerts. Read-only operations do not modify the connected system. | Signal | Alert behaviour | What it tracks | | ----------------------------------- | ------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------- | | **AWS Account** | Watch only | Account ID from STS GetCallerIdentity (caller ARN shown as the card detail). Renders with any valid key pair, no Cost Explorer needed. | | **AWS Spend (30d)** | Alert band 10 / 50 | Sum of GetCostAndUsage daily UnblendedCost amounts across all services over the last 30d. Cost Explorer must be enabled. | | **AWS Spend (7d)** | Watch only | Sum of daily UnblendedCost amounts over the last 7d. | | **Active Services (30d)** | Watch only | Count of distinct SERVICE groups with UnblendedCost > 0 in the last 30d. | | **Avg Daily Spend (30d)** | Watch only | 30d spend / days with any nonzero daily cost bucket. | | **Cloud Health Score** | Alert band 90 / 70 | 0-100 composite from the daily cost matrix: 100 minus 20 when 30d spend is up >10% vsP (40 when >50%), minus 10 when the month-end forecast runs | | **Cost by Service (30d)** | Watch only | 30d UnblendedCost grouped by the SERVICE dimension (GetCostAndUsage GroupBy DIMENSION SERVICE); top 10 services. | | **Daily Spend Trend** | Watch only | Daily all-service UnblendedCost totals from GetCostAndUsage over the last 30d. | | **Forecast Month-End Spend** | Watch only | GetCostForecast Total.Amount (UNBLENDED\_COST, MONTHLY) from today to the first day of next month. Best effort: needs at least one day of cost history. | | **Forecast Overrun Alert** | Alert band 10 / 50 | (GetCostForecast month-end Total.Amount - trailing 30d spend) / trailing 30d spend x 100; fires per the ai\_spend\_trend band when the forecast runs hot | | **Month-to-Date Spend** | Watch only | Sum of daily UnblendedCost amounts from the 1st of the current month to today. | | **Peak Daily Spend (30d)** | Watch only | The single largest daily all-service UnblendedCost total in the last 30d (date shown as the card detail). | | **Previous 30d Spend** | Watch only | Sum of daily UnblendedCost amounts for days 31-60 back (the previous 30d comparison window). | | **Spend Change vs Previous 30d** | Watch only | (current 30d spend - previous 30d spend) / previous 30d spend x 100. | | **Spend Spike Alert** | Alert band 10 / 50 | Spend change vs the prior 30d window ((current - previous) / previous x 100); fires on a spike per the ai\_spend\_trend band. | | **Spend Yesterday** | Watch only | All-service UnblendedCost total for yesterday's daily bucket (the most recent complete day). | | **Top 5 Services Share (30d)** | Watch only | Sum of the top 5 services' 30d UnblendedCost / total 30d UnblendedCost x 100. | | **Top Service Concentration (30d)** | Watch only | Top service 30d UnblendedCost / total 30d UnblendedCost x 100. | | **Top Service by Cost (30d)** | Watch only | The single largest service by 30d UnblendedCost (service name shown as the card detail). | | Signal | Alert behaviour | What it tracks | | ----------------------------- | --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ | | **Weekend Spend Share (30d)** | Watch only | Saturday + Sunday UnblendedCost / total 30d UnblendedCost x 100. Always-on infrastructure sits near 28.6% (2 of 7 days); much lower means workloads sc | ### Audit risks and opportunities A fix status appears only where the action, inputs, approval, verification and recovery controls are mapped. Candidate remediations are never executable. Open a check for the detail. **Severity** high · **Outcome** Control risk and change · **Fix status** Report only Once this credential fails, VortexIQ stops seeing usage, cost and health data from this platform entirely, and every finding here that depends on it goes stale from that moment, silently, until someone notices the numbers stopped updating. Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps. Reference: `CLOUD-AUTH-001` **Severity** high · **Outcome** Run operations · **Fix status** Report only Spend on this platform rose more than 50% versus the prior period. A jump this size is either a deliberate scale-up worth confirming was intentional, or an unbounded process, a stuck job, a misconfigured autoscaler, quietly running up a bill nobody approved. Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps. Reference: `CLOUD-SPEND-001` **Severity** medium · **Outcome** Control risk and change · **Fix status** Report only Usage halving against the prior period is the earliest sign of a silent stall: a broken schedule, an expired credential, or a team that quietly stopped. Vortex IQ detects and explains this; resolution is manual, with evidence and recommended steps. Reference: `CLOUD-USAGE-001` #### Build your own automated fixes Turn any finding into an automated fix with a Vortex IQ workflow: **over 13,000 read and write operations across more than 200 connectors** are available as building blocks, with approval, verification and rollback on every change. ### Automate approved work Vortex IQ is integrated with **0 read** and **3 write** operations across (getcostandusage)s, (getcostforecast)s, resources on Amazon Web Services. Combine them with anything from the **over 13,000 operations across more than 200 connectors** to automate the work in your own words. Changes follow your configured approval policy: the target, proposed change, affected records, risk, reversibility and verification plan are shown before execution. [Create a workflow](https://app.vortexiq.ai/workbench/flows/create?connector=aws) #### Ready to build your first Amazon Web Services workflow Pick a trigger, add the operations above as steps, and every step that changes data pauses for your approval. Monitoring and audits are live now and can start any workflow you build. | Resource | Read operations | Write operations | | ------------------ | --------------- | ---------------- | | (getcostandusage)s | 0 | 1 | | (getcostforecast)s | 0 | 1 | | resources | 0 | 1 | Signed-in users see the full catalogue in the workflow builder, filtered to the sources they have connected.