Sign in

Comprehensive AWS Cost Analysis Breakdown

There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

This task provides a comprehensive analysis of AWS expenses through five key modules. It categorizes costs by AWS services, identifies primary cost drivers and more. The analysis charts expenses over time and breaks down costs by AWS account IDs to pinpoint major spenders aiding in efficient financial forecasting and planning.

AWSCost TrackingCUR

  1. 1

    Daily AWS Costs using Athena

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

    Analyze daily AWS spending by querying the CUR data stored in S3 with Athena, providing insights into overall cost trends and spikes.

    AWSAthena
    1

  2. 2

    Daily AWS Costs by service using Athena

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

    Break down daily AWS expenses by service to pinpoint where spending is occurring, using Athena to query detailed CUR data.

    AWSAthena
    2

  3. 3

    EC2 Cost Analysis

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.
    AWSEC2
    3

    1. 3.1

      Daily AWS Costs by top_n_instances using athena

      There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

      Focus on the highest cost-generating instances, querying CUR data with Athena to identify and analyze the top spending instances daily.

      AWSAthena
      3.1

    2. 3.2

      AWS EC2 Usage Analysis

      There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

      This runbook involves collecting data on EC2 instances, retrieving CPU utilization metrics from Amazon CloudWatch, and visually plotting this data to identify underutilized or overutilized instances. This task helps in recognizing potential cost-saving opportunities by rightsizing instances, either by downsizing underutilized instances to reduce costs or upsizing overutilized instances to improve performance.

      AWSEC2
      3.2

      1. 3.2.1

        Get all AWS EC2 instances

        There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

        Amazon Elastic Compute Cloud (EC2) is a service offered by Amazon Web Services (AWS) that provides resizable compute capacity in the cloud. Through Boto3's EC2 client, the describe_instances() method provides detailed information about each instance, including its ID, type, launch time, and current state. This capability assists users in effectively monitoring and managing their cloud resources.

        AWSEC2
        3.2.1

      2. 3.2.2

        Aggregate and Visualize Comprehensive EC2 CPU Utilization

        There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

        This task aggregates CPU utilization data for running EC2 instances across an AWS account, computes the average CPU usage over a specified period, and plots the average to help in assessing overall resource efficiency.

        AWSEC2
        3.2.2

      3. 3.2.3

        Plot Average CPU Utilization for all running AWS EC2 Instances

        There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

        This task entails collecting CPU usage metrics from Amazon CloudWatch, calculating the average utilization, and visualizing this data. This task aids in identifying underutilized or overutilized instances, facilitating efficient resource management and cost optimization in AWS.

        AWSEC2
        3.2.3

    3. 3.3

      Rightsizing Recommendations for AWS EC2 Instances using AWS Compute Optimizer

      There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

      This task utilizes AWS Compute Optimizer to fetch rightsizing recommendations for AWS EC2 instances, aiming to optimize instance sizes based on actual usage. It assesses whether instances are under-utilized or over-utilized, suggesting adjustments to enhance performance and reduce costs. By querying across specified or all regions, it allows for a comprehensive optimization strategy, ensuring resources are efficiently allocated and maximizes cost-effectiveness and performance across your AWS environment.

      AWSEC2Cost TrackingCompute Optimzer
      3.3

      1. 3.3.1

        Fetch Rightsizing Recommendations for AWS EC2 Instances

        There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

        This task retrieves AWS EC2 instance rightsizing recommendations using AWS Compute Optimizer, identifying cost-saving and performance-enhancing opportunities by analyzing usage patterns. It suggests optimal instance types or sizes, ensuring efficient resource utilization.

        AWSEC2Cost TrackingCompute Optimzer
        3.3.1

      2. 3.3.2

        Plot Savings based on AWS EC2 Rightsizing Recommendations

        There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

        This task generates a bar chart visualizing AWS EC2 rightsizing savings, with instance names on the X-axis and different recommendations distinguished by instance ID and rank in the legend.

        AWSEC2
        3.3.2

  4. 4

    EBS Cost Analysis

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.
    AWSEBS
    4

    1. 4.1

      Rightsizing Recommendations for AWS EBS Volumes using AWS Compute Optimizer

      There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

      This runbook aids in enhancing storage efficiency by providing insights based on usage analysis. This service suggests optimal EBS volume configurations, including type, size, and IOPS, to align with performance needs and cost savings.

      AWSEBSCompute Optimzer
      4.1

      1. 4.1.1

        Fetch Rightsizing Recommendations for AWS EBS Volumes

        There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

        This task involves analyzing EBS volume usage to offer configuration changes for cost efficiency and performance improvement, based on historical data analysis.

        AWSEBSCompute Optimzer
        4.1.1

  5. 5

    RDS Cost Analysis

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.
    AWSRDS
    5

    1. 5.1

      Aggregate and Visualize Comprehensive RDS CPU Utilization

      There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

      This task aggregates CPU utilization data for running RDS instances across an AWS account, computes the average CPU usage over a specified period, and plots the average to help in assessing overall resource efficiency.

      AWSRDSCost Tracking
      5.1

    2. 5.2

      Daily AWS RDS Costs using Athena

      There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

      Specifically examine daily costs associated with AWS RDS, utilizing Athena to query CUR data for detailed spending analysis on database services.

      AWSAthena
      5.2

  6. 6

    AWS Costs per Linked Account using Athena

    There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.

    Segment and analyze costs for each linked account under a consolidated billing setup using Athena to query CUR data, providing clarity on spending distribution across accounts.

    AWSAthena
    6

AI created and expert curated runbooks

© 2025 DagKnows, Inc. All rights reserved
Resources
Blog
Company
Legal
Privacy policy