├── LICENSE ├── README.md ├── add_account_id.py ├── add_tag_to_volume.py ├── bkp_server_volumes.py ├── delete_snapshots.py ├── fn_add_account_id.py ├── report_ec2_all_profiles.py ├── report_lambda_all_profiles.py ├── report_snapshots.py └── report_stepfn_all_profiles.py /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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Alternatively, you can [run the scripts on your local machine](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html). 4 | 5 | ## add_account_id 6 | ## fn_add_account_id 7 | ### Motivation 8 | In a multi-account AWS organisation, resources from individual accounts can be backed up and copied to a central repository. In this setup, the cost of retaining backups is attributed to the central account not the account owning the original resource. 9 | ### Solution 10 | This tool comes in 2 versions. Script add_account_id, and lambda function fn_add_account_id. Both implementations run the same program that adds and populates a tag "account_id" to all ec2 instances, volumes, and snapshots in a given account. These user added tags will propagate to snaphshots of these instances. When those snapshots are stored in other accounts (e.g. AWS Backup vault), then these tags can be used to identify the original owner account. 11 | 12 | ## add_tag_to_volume 13 | ### Motivation 14 | AWS Backup allows resources to be backed up if they are tagged with a certain configured tag. 15 | Manually tagging resources as required can be challenging in a large organisation. 16 | ### Solution 17 | This tool adds a custom tag and value to EBS volumes that are 'in-use'. 18 | 19 | ## bkp_server_volumes 20 | ### Motivation 21 | A common operation task in maintaining production loads in AWS is backing up EC2 instances with all their attached EBS volumes. 22 | ### Solution 23 | This module creates a full image of an EC2 instance by creating a snapshot of each volume attached to the machine. 24 | The script accepts 2 arguments, CRQ (The change request number) and the instance name. 25 | 26 | ## report_snapshots 27 | ### Motivation 28 | Creating snapshots of EC2 instances can be a good practice. However, over time, those snapshots accumulate over time eating up unnecessary costs. Reporting existing snapshots using the AWS EC2 console can prove challenging when there is a large number of snapshots. 29 | ### Solution 30 | This tool generates a csv report of snapshot ids (snapshots_accountID.csv), creation date, and tags. 31 | It accepts the optional parameter (lastYearToReport) where snapshots are not reported if newer. The default is the current year. 32 | 33 | ## delete_snapshots 34 | ### Motivation 35 | Creating snapshots of EC2 instances can be a good practice. However, over time, those snapshots accumulate over time eating up unnecessary costs. Deleting existing snapshots using the AWS EC2 console can prove challenging when there is a large number of snapshots. 36 | ### Solution 37 | This tool removes EBS snapshots given in a csv report created by the report_snapshots tool . 38 | This script expects an input parameter referencing the csv report generated by the report_snapshots tool. The report is in human-readble csv format that can be edited using a spreadsheet or text editor before running the delete_snapshots tool 39 | 40 | ## report_ec2_all_profiles 41 | ### Motivation 42 | EC2 instances may be the most used AWS offering in many places. Iterating and reporting the large number of instances in an organisation with multiple accounts is particularly challenging. 43 | ### Solution 44 | This tool reports all EC2 instances in all accounts. 45 | The report contains the following columns: id, name, state. 46 | 47 | ## report_lambda_all_profiles 48 | ### Motivation 49 | Lambda serverless compute can be indespensible, thanks to being scalable and versatile. Reporting on all existing lambda functions and their runtimes can prove tricky, especially in big organisations with multiple accounts. Such a report can be valuable where, for example, there is a need to upgrade a runtime, or to define skillsets needed to maintain an account. 50 | ### Solution 51 | This tool generates a csv report of lambda functions in all available profiles. 52 | The report contains the following columns: profile,function_name,runtime 53 | 54 | ## report_stepfn_all_profiles 55 | ### Motivation 56 | Step functions are used to orchestrate lambda functions. Reporting on all existing step functions can be time consuming, especially in big organisations with multiple accounts. 57 | ### Solution 58 | This tool generates a csv report of all step functions in all available profiles. 59 | The report contains the following columns: profile,function_name 60 | 61 | 62 | © Moataz ElQadi, 2022 -------------------------------------------------------------------------------- /add_account_id.py: -------------------------------------------------------------------------------- 1 | """ 2 | This module adds and poulates a tag "account_id" to all ec2 instances, volumes, and snapshots in a given account. 3 | These user added tags will propagate to snaphshots of these instances. When those snapshots are stored in other accounts (e.g. AWS Backup vault), then these tags can be used to identify the original owner account. 4 | ``Example`` 5 | $python3 add_account_id.py 6 | 7 | 8 | 9 | © Moataz ElQadi, 2022 10 | """ 11 | import boto3 12 | 13 | def addIdToResources(this_account_id,resources): 14 | for r in resources: 15 | print('checking ',r) 16 | if r.tags is not None: 17 | tags = [ tag for tag in r.tags if tag['Key']=='account_id'] 18 | if tags !=[]: 19 | tag = tags[0] 20 | if tag['Value'] == this_account_id: 21 | continue 22 | r.create_tags(Tags = [{'Key':'account_id','Value':this_account_id}]) 23 | print('Added or created account id %s to %s'%(this_account_id,r.id)) 24 | print() 25 | break 26 | 27 | def tagInstances(this_account_id): 28 | print('**Tagging instances**') 29 | ec2 = boto3.Session().resource('ec2') 30 | instances = ec2.instances.all() 31 | addIdToResources(this_account_id,instances) 32 | 33 | def tagSnapshots(this_account_id): 34 | print('**Tagging snapshots**') 35 | ec2 = boto3.Session().resource('ec2') 36 | snapshots = ec2.snapshots.filter(OwnerIds = [this_account_id]) 37 | addIdToResources(this_account_id,snapshots) 38 | 39 | def tagVolumes(this_account_id): 40 | print('**Tagging volumes**') 41 | ec2 = boto3.Session().resource('ec2') 42 | volumes = ec2.volumes.all() 43 | addIdToResources(this_account_id,volumes) 44 | 45 | if __name__ == "__main__": 46 | this_account_id = boto3.client('sts').get_caller_identity().get('Account') 47 | tagInstances(this_account_id) 48 | tagSnapshots(this_account_id) 49 | tagVolumes(this_account_id) 50 | 51 | -------------------------------------------------------------------------------- /add_tag_to_volume.py: -------------------------------------------------------------------------------- 1 | """ 2 | This module adds a user specified tag name and value to 'in-use' EBS volumes in a given account. 3 | 4 | ``Example`` 5 | $python3 add_tag_to_volume.py dummyTagName dummyTagValue 6 | 7 | © Moataz ElQadi, 2022 8 | """ 9 | 10 | import boto3 11 | import sys 12 | 13 | def AddTagToVolume(volume,tagName,tagValue): 14 | try: 15 | volume.create_tags(Tags = [{'Key':tagName,'Value':tagValue}]) 16 | except: 17 | print('error in {}'.format(volume)) 18 | 19 | def main(tagName,tagValue): 20 | ec2 = boto3.Session().resource('ec2') 21 | volumes = list(ec2.volumes.all()) 22 | for v in volumes: 23 | if v.state == 'in-use': 24 | print('Adding tag {}={} to {}'.format(tagName,tagValue,v.id)) 25 | AddTagToVolume(v,tagName,tagValue) 26 | else: 27 | print(v.state) 28 | 29 | if __name__ == "__main__": 30 | try: 31 | tagName,tagValue = sys.argv[1:] 32 | except: 33 | print('Input argument error') 34 | main(tagName,tagValue) -------------------------------------------------------------------------------- /bkp_server_volumes.py: -------------------------------------------------------------------------------- 1 | """ 2 | This module creates a full image of an EC2 instance by creating a snapshot of each volume attached to the machine. 3 | It takes 2 arguments, CRQ (The change request number) and the instance name. 4 | ``Example`` 5 | $bkp_server_volumes.py CRQ1234 ServerName 6 | 7 | ``ToDo`` 8 | Support multiple servers in one call 9 | 10 | © Moataz ElQadi, 2022 11 | """ 12 | import boto3 13 | import datetime 14 | import sys 15 | def main(crq,instanceName): 16 | #define ISO date string to be used in snapshot name 17 | yearFromNow = (datetime.datetime.now() + datetime.timedelta(days=365)).strftime('%Y%m%d') 18 | #ec2 high level api 19 | ec2 = boto3.resource('ec2') 20 | #find instance by name 21 | instanceList = ec2.instances.filter(Filters=[{'Name': 'tag:Name','Values': [instanceName]}]) 22 | instance = list(instanceList)[0] 23 | #snapshot each volume 24 | for volume in instance.volumes.all(): 25 | snapshotDesc = '{} {} {}'.format(instanceName,volume.id, crq) 26 | snapshotName = 'DoNotDeleteBefore{}-{}'.format(yearFromNow,volume.id) 27 | snapshotId = volume.create_snapshot(Description=snapshotDesc,TagSpecifications=[ 28 | { 29 | 'ResourceType': 'snapshot', 30 | 'Tags': [ 31 | { 32 | 'Key': 'Name', 33 | 'Value': snapshotName 34 | }, 35 | ] 36 | }, 37 | ]) 38 | print(snapshotId) 39 | 40 | if __name__=="__main__": 41 | if len(sys.argv)>=3: 42 | crq = sys.argv[1] 43 | instanceName = sys.argv[2] 44 | main(crq,instanceName) 45 | -------------------------------------------------------------------------------- /delete_snapshots.py: -------------------------------------------------------------------------------- 1 | """ 2 | This tool removes EBS snapshots given in a CSV file with "id" column of target snapshots, 3 | such a report can be created using the report_snapshots tool. 4 | This script creates a dialog to request input parameters, the change request(CRQ) for the EBS deletion, 5 | and the input csv file. The CRQ is used as the log file name. 6 | 7 | ``Example`` 8 | $python3 delete_snapshots.py 9 | 10 | © Moataz ElQadi, 2022 11 | """ 12 | 13 | import csv 14 | import logging 15 | import boto3 16 | 17 | def deleteSnapshot(ec2,id): 18 | try: 19 | collection = ec2.snapshots.filter(SnapshotIds=[id]) 20 | snapshot = list(collection)[0] 21 | snapshot.delete() 22 | logging.info('deleted {}'.format(id)) 23 | except: 24 | logging.error('error with {}'.format(id)) 25 | 26 | def main(crq,input_file): 27 | logging.basicConfig(filename='{}.log'.format(crq), level=logging.INFO) 28 | ec2 = boto3.Session().resource('ec2') 29 | with open(input_file,'r') as f: 30 | reader = csv.DictReader(f) 31 | for row in reader: 32 | id = row['id'] 33 | deleteSnapshot(ec2,id) 34 | 35 | if __name__ == "__main__": 36 | sure = input('This program will delete EBS snapshots. Are you sure you want to proceed[Y/N]? ') 37 | isSure = str.lower(sure) == 'y' 38 | if isSure: 39 | crq = input('What is the CRQ? ') 40 | input_file = input('Path to CSV file with "id" column of target snapshots: ') 41 | main(crq,input_file) 42 | else: 43 | print('Aborting..') -------------------------------------------------------------------------------- /fn_add_account_id.py: -------------------------------------------------------------------------------- 1 | """ 2 | This module adds and poulates a tag "account_id" to all ec2 instances, volumes, and snapshots in a given account. 3 | These user added tags will propagate to snaphshots of these instances. When those snapshots are stored in other accounts (e.g. AWS Backup vault), then these tags can be used to identify the original owner account. 4 | 5 | © Moataz ElQadi, 2022 6 | """ 7 | import boto3 8 | 9 | def addIdToResources(this_account_id,resources): 10 | for r in resources: 11 | logger.info('checking ',r) 12 | if r.tags is not None: 13 | tags = [ tag for tag in r.tags if tag['Key']=='account_id'] 14 | if tags !=[]: 15 | tag = tags[0] 16 | if tag['Value'] == this_account_id: 17 | continue 18 | r.create_tags(Tags = [{'Key':'account_id','Value':this_account_id}]) 19 | print('Added or created account id %s to %s'%(this_account_id,r.id)) 20 | print() 21 | 22 | 23 | def tagInstances(this_account_id): 24 | print('**Tagging instances**') 25 | ec2 = boto3.Session().resource('ec2') 26 | instances = ec2.instances.all() 27 | addIdToResources(this_account_id,instances) 28 | 29 | def tagSnapshots(this_account_id): 30 | print('**Tagging snapshots**') 31 | ec2 = boto3.Session().resource('ec2') 32 | snapshots = ec2.snapshots.filter(OwnerIds = [this_account_id]) 33 | addIdToResources(this_account_id,snapshots) 34 | 35 | def tagVolumes(this_account_id): 36 | print('**Tagging volumes**') 37 | ec2 = boto3.Session().resource('ec2') 38 | volumes = ec2.volumes.all() 39 | addIdToResources(this_account_id,volumes) 40 | 41 | def lambda_handler(event, context): 42 | this_account_id = boto3.client('sts').get_caller_identity().get('Account') 43 | tagInstances(this_account_id) 44 | tagSnapshots(this_account_id) 45 | tagVolumes(this_account_id) 46 | 47 | -------------------------------------------------------------------------------- /report_ec2_all_profiles.py: -------------------------------------------------------------------------------- 1 | """ 2 | This tool generates a csv report of EC2 instances in all available profiles. 3 | The report contains the following columns: id, name, state 4 | 5 | ``Example`` 6 | $python3 report_ec2_all_profiles.py 7 | 8 | © Moataz ElQadi, 2022 9 | """ 10 | import boto3 11 | def instanceToString(i): 12 | try: 13 | name = [tag['Value'] for tag in i.tags if tag['Key']=='Name'][0] 14 | if name is None: 15 | name="" 16 | except: 17 | name="" 18 | state=i.state['Name'] 19 | return i.id+','+name+','+state 20 | 21 | profiles = boto3.session.Session().available_profiles 22 | readOnlyProfiles = [prof for prof in profiles if 'readonly' in prof] 23 | result = ['profile,instance_id,instance_name,state\n'] 24 | for profile in readOnlyProfiles: 25 | try: 26 | print(profile) 27 | session = boto3.Session(profile_name=profile) 28 | ec2 = session.resource('ec2') 29 | records = [ profile+','+instanceToString(i)+'\n' for i in ec2.instances.all()] 30 | result.extend(records) 31 | 32 | 33 | except: 34 | print("-------error in {}".format(profile)) 35 | 36 | with open('All_EC2.csv','w') as f: 37 | f.writelines(result) 38 | 39 | -------------------------------------------------------------------------------- /report_lambda_all_profiles.py: -------------------------------------------------------------------------------- 1 | """ 2 | This tool generates a csv report of lambda functions in all available profiles. 3 | The report contains the following columns profile,function_name,runtime 4 | 5 | ``Example`` 6 | $python3 report_lambda_all_profiles.py 7 | 8 | © Moataz ElQadi, 2022 9 | """ 10 | import boto3 11 | #get all available profiles 12 | profiles = boto3.session.Session().available_profiles 13 | #select the readonly profiles 14 | readOnlyProfiles = [prof for prof in profiles if 'administrator' in prof] 15 | #create the first line in the result csv, containing the header 16 | result = ['profile,function_name,runtime\n'] 17 | 18 | for profile in readOnlyProfiles: 19 | try: 20 | print(profile) 21 | #get a session for the profile 22 | session = boto3.Session(profile_name=profile) 23 | #get a low-level client for lambda api 24 | lam = session.client('lambda') 25 | #call list_functions (which returns only 50 results/page) 26 | pages = lam.get_paginator('list_functions').paginate() 27 | #get a list of pages, each page contains a list of functions 28 | pages = list(pages) 29 | #fns is a "flat list" of all functions in all pages in the profile 30 | fns=[] 31 | for page in pages: 32 | fns.extend(page['Functions']) 33 | #create the csv lines corresponding 34 | profile_records = ["{},{},{}\n".format(profile,fn['FunctionName'],fn['Runtime']) for fn in fns] 35 | result.extend(profile_records) 36 | 37 | except: 38 | print("-------error in {}".format(profile)) 39 | #write to file 40 | with open('lambda_all_profiles.csv','w') as f: 41 | f.writelines(result) 42 | 43 | -------------------------------------------------------------------------------- /report_snapshots.py: -------------------------------------------------------------------------------- 1 | """ 2 | This tool generates a csv report (snapshots_accountID.csv) with the following columns: snapshot ids , creation date, and tags. 3 | It accepts the optional parameter (lastYearToReport) 4 | ``Parameters`` 5 | 6 | lastYearToReport: The year (e.g. 2022) where snapshots are not reported if newer. The default is the current year. 7 | 8 | ``Example`` 9 | $python3 report_snapshots.py 2020 10 | 11 | © Moataz ElQadi, 2022 12 | """ 13 | import sys 14 | import boto3 15 | import datetime 16 | import csv 17 | 18 | def ReportSnapshots(lastYearToReport): 19 | this_account_id = boto3.client('sts').get_caller_identity().get('Account') 20 | ec2 = boto3.Session().resource('ec2') 21 | snapshots = ec2.snapshots.filter(OwnerIds = [this_account_id]) 22 | with open(r'snapshots_{}.csv'.format(this_account_id),'w') as f: 23 | writer = csv.writer(f) 24 | writer.writerow(('id','year','month','day','tags')) 25 | for s in snapshots: 26 | if s.start_time.year > lastYearToReport: 27 | continue 28 | 29 | try: 30 | tagString = str([(tag['Key'],tag['Value']) for tag in s.tags]) 31 | except: 32 | tagString = '' 33 | writer.writerow((s.id,s.start_time.year,s.start_time.month,s.start_time.day,tagString)) 34 | 35 | if __name__ == "__main__": 36 | lastYearToReport = datetime.datetime.now().year 37 | try: 38 | lastYearToReport = int(sys.argv[1]) 39 | except: 40 | pass 41 | ReportSnapshots(lastYearToReport) 42 | 43 | -------------------------------------------------------------------------------- /report_stepfn_all_profiles.py: -------------------------------------------------------------------------------- 1 | """ 2 | This tool generates a csv report of step functions in all available profiles. 3 | The report contains the following columns profile,function_name 4 | 5 | ``Example`` 6 | $python3 report_stepfn_all_profiles.py 7 | 8 | © Moataz ElQadi, 2022 9 | """ 10 | import boto3 11 | #get all available profiles 12 | profiles = boto3.session.Session().available_profiles 13 | #select the readonly profiles 14 | readOnlyProfiles = [prof for prof in profiles if 'readonly' in prof] 15 | #create the first line in the result csv, containing the header 16 | result = ['profile,function_name\n'] 17 | 18 | for profile in readOnlyProfiles: 19 | try: 20 | print(profile) 21 | #get a session for the profile 22 | session = boto3.Session(profile_name=profile) 23 | #get a low-level client for lambda api 24 | lam = session.client('stepfunctions') 25 | pages = lam.get_paginator('list_state_machines').paginate() 26 | #get a list of pages, each page contains a list of functions 27 | pages = list(pages) 28 | #fns is a "flat list" of all functions in all pages in the profile 29 | fns=[] 30 | for page in pages: 31 | fns.extend(page['stateMachines']) 32 | #create the csv lines corresponding 33 | profile_records = ["{},{}\n".format(profile,fn['name']) for fn in fns] 34 | result.extend(profile_records) 35 | 36 | except: 37 | print("-------error in {}".format(profile)) 38 | #write to file 39 | with open('All_STATE_MACHINES.csv','w') as f: 40 | f.writelines(result) 41 | 42 | --------------------------------------------------------------------------------