What type of pipeline is right for me?

To create and run a script to help you evaluate the cost of moving a V1 type pipeline to a V2 type pipeline

1. Download and install python.

2. Open a terminal window. Run the following command to create a new python script named PipelineCostAnalyzer.py.

   vi PipelineCostAnalyzer.py

3. Copy and paste the following code into the PipelineCostAnalyzer.py script.

   
   import boto3
   import sys
   import math
   from datetime import datetime, timedelta, timezone
   
   if len(sys.argv) < 3:
       raise Exception("Please provide region name and pipeline name as arguments. Example usage: python PipelineCostAnalyzer.py us-east-1 MyPipeline")
   session = boto3.Session(profile_name='default', region_name=sys.argv[1])
   pipeline = sys.argv[2]
   codepipeline = session.client('codepipeline')
   
   def analyze_cost_in_v2(pipeline_name):
       if codepipeline.get_pipeline(name=pipeline)['pipeline']['pipelineType'] == 'V2':
           raise Exception("Provided pipeline is already of type V2.")
       total_action_executions = 0
       total_blling_action_executions = 0
       total_action_execution_minutes = 0
       cost = 0.0
       hasNextToken = True
       nextToken = ""
   
       while hasNextToken:
           if nextToken=="":
               response = codepipeline.list_action_executions(pipelineName=pipeline_name)
           else:
               response = codepipeline.list_action_executions(pipelineName=pipeline_name, nextToken=nextToken)
           if 'nextToken' in response:
               nextToken = response['nextToken']
           else:
               hasNextToken= False
           for action_execution in response['actionExecutionDetails']:
               start_time = action_execution['startTime']
               end_time = action_execution['lastUpdateTime']
               if (start_time < (datetime.now(timezone.utc) - timedelta(days=30))):
                   hasNextToken= False
                   continue
               total_action_executions += 1
               if (action_execution['status'] in ['Succeeded', 'Failed', 'Stopped']):
                   action_owner = action_execution['input']['actionTypeId']['owner']
                   action_category = action_execution['input']['actionTypeId']['category']
                   if (action_owner == 'Custom' or (action_owner == 'AWS' and action_category == 'Approval')):
                       continue
                   
                   total_blling_action_executions += 1
                   action_execution_minutes = (end_time - start_time).total_seconds()/60
                   action_execution_cost = math.ceil(action_execution_minutes) * 0.02
                   total_action_execution_minutes += action_execution_minutes
                   cost = round(cost + action_execution_cost, 2)
   
       print ("{:<40}".format('Activity in last 30 days:'))
       print ("| {:<40} | {:<10}".format('___________________________________', '__________________'))
       print ("| {:<40} | {:<10}".format('Total action executions:', total_action_executions))
       print ("| {:<40} | {:<10}".format('Total billing action executions:', total_blling_action_executions))
       print ("| {:<40} | {:<10}".format('Total billing action execution minutes:', round(total_action_execution_minutes, 2)))
       print ("| {:<40} | {:<10}".format('Cost of moving to V2 in $:', cost - 1))
   
   analyze_cost_in_v2(pipeline)

4. From the terminal or command prompt, change directories to where you created the analyzer script.

   From that directory, run the following command, where region is the Amazon Web Services Region where you created the V1 pipelines you want to analyze. You can also optionally evaluate a specific pipeline by providing its name:

   python3 PipelineCostAnalyzer.py region --pipelineName

   For example, run the following command to run the python script named PipelineCostAnalyzer.py. In this example, the Region is us-west-2.

   python3 PipelineCostAnalyzer.py us-west-2

   Note

   This script will analyze all V1 pipelines in the specified Amazon Web Services Region unless you specify a specific pipeline name.

5. In the following sample output from the script, we can see the list of action executions, the list of action executions that were eligible for billing, the total runtime of these action executions, and the estimated cost of these actions as performed in a V2 pipeline.

   Activity in last 30 days: 
    | ___________________________________      | __________________
    | Total action executions:                 | 9         
    | Total billing action executions:         | 9         
    | Total billing action execution minutes:  | 5.59      
    | Cost of moving to V2 in $:               | -0.76 

   In this example, the negative value in the last row represents the estimated amount that might be saved by moving to V2 type pipelines.

   Note

   The script output and related examples that show costs and other information are estimates only. They are intended for demonstration and evaluation purposes only and do not guarantee any actual savings. For information about pricing for CodePipeline, see Pricing.