Tag: AWS Cost Anomaly Detection

Today, we’re excited to announce the extension of AWS managed monitors in AWS Cost Anomaly Detection to support linked accounts, cost allocation tags, and cost categories. Previously available only for AWS services, AWS managed monitors now enable you to track costs across all your organizational dimensions with minimal ongoing maintenance. As organizations scale from tens to hundreds of accounts and teams, you can create a single AWS managed monitor that automatically adapts as your organization grows, eliminating the need to maintain hundreds of individual customer managed monitors. After initial setup, this feature transforms cost monitoring from a time-consuming operational task into an automated process that ensures comprehensive anomaly detection coverage while enabling clear segmentation of spending alerts by cost ownership.

In part one of this blog series, we shared instructions on how you can integrate AWS Cost Anomaly Detection (CAD) notification with Atlassian Jira Service Management (read blog). In part two of the blog series, we will shed light on the integration of CAD with ServiceNow IT Service Management. ServiceNow IT Service Management offers a widely […]

Thanks to our product and engineering teams’ tireless efforts in building new capabilities for AWS Cloud Financial Management portfolio, I get to talk about these amazing features. Let’s take a look at what we’ve made available for you in the last quarter.

Starting today, AWS Cost Anomaly Detection will be automatically enabled for all new AWS Cost Explorer customers by default to help save time and increase cost control. This means that if you own a standalone account or management account and enable AWS Cost Explorer, on or after March 27, 2023, you will automatically have a default configuration of AWS Cost Anomaly Detection that monitors your spend by AWS service and emails you a daily summary when a cost anomaly above a certain threshold is detected.

When starting your CFM practice, it’s easy to feel overwhelmed, or like you’re already behind the curve. You’re not alone.  To help, we’ve answered the top 4 questions we hear from customers when they’re first getting started so you can kickstart your Cloud Financial Management journey with confidence. Is there a particular order that you […]

Hope you all had a memorable holiday and are ready to kickstart your Cloud Financial Management (CFM) effort for 2023. We were busy in Q4 last year and want to make sure you don’t miss anything. If you just started following our blog channel, we’ve provided reference links in this blog so you have the […]

It was a busy quarter for AWS Cloud Financial Management team.  The tooling side of the organization has been delivering several new product features, including AWS Budgets, AWS Cost Anomaly Detection, AWS Cost Categories, AWS Billing Conductor, and AWS Compute Optimizer.

Take a look at what AWS Cloud Financial Management team delivered in Q1, such as AWS Billing Conductor, Carbon Footprint Tool, Auto-adjusting budgets, etc. and see how these new capabilities can help solve your immediate and long-term financial needs.

Get near real-time visibility into anomalous spend by receiving AWS Cost Anomaly Detection alert notifications in Slack using AWS Chatbot. With faster visibility and insights you can reduce cost surprises, enhance control, and proactively increase savings. AWS Cost Anomaly Detection uses advanced Machine Learning to help identify and evaluate the root cause of spend anomalies. […]

We are excited to announce that AWS Cost Anomaly Detection is now generally available. AWS Cost Anomaly Detection uses a multi-layered machine learning model that learns your unique, historic spend patterns to detect one-time cost spike and/or continuous cost increases, without you having to define your thresholds. Every anomaly detected will be available in the detection history tab. We send you the anomaly detection report with root-cause analysis. And the service also comes at no cost to our customers.