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changed keyName to vockey, changed instanceType to t2.micro as t2.nano can run into out of memory situation when starting mariadb

pull/3/head
Sebastian Rieger 3 years ago
parent
commit
c5aaf2f4f7
  1. 10
      example-projects/tug-of-war-in-the-clouds/aws-boto3-rds-db/start.py
  2. 14
      example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db-autoscaling/start.py
  3. 8
      example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db/create-loadbalancer.py
  4. 11
      example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db/start-and-add-new-target.py
  5. 15
      example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db/start.py

10
example-projects/tug-of-war-in-the-clouds/aws-boto3-rds-db/start.py

@ -7,8 +7,8 @@ from botocore.exceptions import ClientError
#
################################################################################################
print("!!!!!!!! You cannot use RDS in AWS Educate Account !!!!!!!!")
exit(-1)
# print("!!!!!!!! You cannot use RDS in AWS Educate Account !!!!!!!!")
# exit(-1)
# place your credentials in ~/.aws/credentials, as mentioned in AWS Educate Classroom,
# Account Details, AWC CLI -> Show (Copy and paste the following into ~/.aws/credentials)
@ -21,6 +21,7 @@ availabilityZone = 'us-east-1a'
# AMI ID of Amazon Linux 2 image 64-bit x86 in us-east-1 (can be retrieved, e.g., at
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:)
# TODO update to recent version of Amazon Linux 2 AMI?
imageId = 'ami-0d5eff06f840b45e9'
# for eu-central-1, AMI ID of Amazon Linux 2 would be:
# imageId = 'ami-0cc293023f983ed53'
@ -153,8 +154,9 @@ response = rdsClient.create_db_instance(DBInstanceIdentifier="tug-of-war-rds-db1
MasterUsername='cloud_tug_of_war',
MasterUserPassword='cloudpass',
VpcSecurityGroupIds=[security_group_id],
#DBInstanceClass='db.m3.2xlarge',
DBInstanceClass='db.t3.micro',
# DBInstanceClass='db.m3.2xlarge',
# DBInstanceClass='db.t3.micro',
DBInstanceClass='db.t2.small',
Tags=[
{'Key': 'Name', 'Value': 'tug-of-war-rds-db1'},
{'Key': 'tug-of-war-rds', 'Value': 'db'}

14
example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db-autoscaling/start.py

@ -10,8 +10,8 @@ from botocore.exceptions import ClientError
#
################################################################################################
print("!!!!!!!! You cannot use Auto Scaling Group in AWS Educate Account !!!!!!!!")
exit(-1)
# print("!!!!!!!! You cannot use Auto Scaling Group in AWS Educate Account !!!!!!!!")
# exit(-1)
# place your credentials in ~/.aws/credentials, as mentioned in AWS Educate Classroom,
# Account Details, AWC CLI -> Show (Copy and paste the following into ~/.aws/credentials)
@ -26,15 +26,20 @@ availabilityZone3 = 'us-east-1c'
# AMI ID of Amazon Linux 2 image 64-bit x86 in us-east-1 (can be retrieved, e.g., at
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:)
# TODO update to recent version of Amazon Linux 2 AMI?
imageId = 'ami-0d5eff06f840b45e9'
# for eu-central-1, AMI ID of Amazon Linux 2 would be:
# imageId = 'ami-0cc293023f983ed53'
# potentially change instanceType to t2.micro for "free tier" if using a regular account
# for production, t3.nano seams better
instanceType = 't2.nano'
# as of SoSe 2022 t2.nano seams to be a bit too low on memory, mariadb first start can fail
# due to innodb cache out of memory, therefore t2.micro or swap in t2.nano currently recommended
# instanceType = 't2.nano'
instanceType = 't2.micro'
keyName = 'srieger-pub'
# keyName = 'srieger-pub'
keyName = 'vockey'
################################################################################################
@ -270,6 +275,7 @@ print("------------------------------------")
response = asClient.create_launch_configuration(
#IamInstanceProfile='my-iam-role',
IamInstanceProfile='EMR_AutoScaling_DefaultRole ',
ImageId=imageId,
InstanceType=instanceType,
LaunchConfigurationName='tug-of-war-asg-launchconfig',

8
example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db/create-loadbalancer.py

@ -26,9 +26,13 @@ imageId = 'ami-0d5eff06f840b45e9'
# potentially change instanceType to t2.micro for "free tier" if using a regular account
# for production, t3.nano seams better
instanceType = 't2.nano'
# as of SoSe 2022 t2.nano seams to be a bit too low on memory, mariadb first start can fail
# due to innodb cache out of memory, therefore t2.micro or swap in t2.nano currently recommended
# instanceType = 't2.nano'
instanceType = 't2.micro'
keyName = 'srieger-pub'
# keyName = 'srieger-pub'
keyName = 'vockey'
################################################################################################

11
example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db/start-and-add-new-target.py

@ -22,15 +22,20 @@ availabilityZone = 'us-east-1b'
# AMI ID of Amazon Linux 2 image 64-bit x86 in us-east-1 (can be retrieved, e.g., at
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:)
# TODO update to recent version of Amazon Linux 2 AMI?
imageId = 'ami-0d5eff06f840b45e9'
# for eu-central-1, AMI ID of Amazon Linux 2 would be:
# imageId = 'ami-0cc293023f983ed53'
# potentially change instanceType to t2.micro for "free tier" if using a regular account
# for production, t3.nano seams better
instanceType = 't2.nano'
# as of SoSe 2022 t2.nano seams to be a bit too low on memory, mariadb first start can fail
# due to innodb cache out of memory, therefore t2.micro or swap in t2.nano currently recommended
# instanceType = 't2.nano'
instanceType = 't2.micro'
keyName = 'srieger-pub'
# keyName = 'srieger-pub'
keyName = 'vockey'
################################################################################################
@ -125,7 +130,7 @@ for i in range(3, 4):
time.sleep(1)
timeout -= 1
if instance.public_ip_address is not None:
print("tug-of-war-in-the-clouds can be accessed at: " + instance.public_ip_address)
print("tug-of-war-in-the-clouds can be accessed at: http://" + instance.public_ip_address)
else:
print("Could not get public IP using boto3, this is likely an AWS Educate problem. You can however lookup the "
"public ip from the AWS management console.")

15
example-projects/tug-of-war-in-the-clouds/aws-boto3-standalone-db/start.py

@ -22,15 +22,20 @@ availabilityZone = 'us-east-1a'
# AMI ID of Amazon Linux 2 image 64-bit x86 in us-east-1 (can be retrieved, e.g., at
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:)
# TODO update to recent version of Amazon Linux 2 AMI?
imageId = 'ami-0d5eff06f840b45e9'
# for eu-central-1, AMI ID of Amazon Linux 2 would be:
# imageId = 'ami-0cc293023f983ed53'
# potentially change instanceType to t2.micro for "free tier" if using a regular account
# for production, t3.nano seams better
instanceType = 't2.nano'
# as of SoSe 2022 t2.nano seams to be a bit too low on memory, mariadb first start can fail
# due to innodb cache out of memory, therefore t2.micro or swap in t2.nano currently recommended
# instanceType = 't2.nano'
instanceType = 't2.micro'
keyName = 'srieger-pub'
# keyName = 'srieger-pub'
keyName = 'vockey'
################################################################################################
@ -164,6 +169,8 @@ instanceIdDB = response['Instances'][0]['InstanceId']
privateIpDB = response['Instances'][0]['PrivateIpAddress']
# privateIpDB = response['Instances'][0]['NetworkInterfaces'][0]['NetworkInterfaceId']
print("Using private IP to connect to the db: " + privateIpDB);
instance = ec2Resource.Instance(instanceIdDB)
instance.wait_until_running()
@ -232,7 +239,9 @@ for i in range(1, 3):
time.sleep(1)
timeout -= 1
if instance.public_ip_address is not None:
print("tug-of-war-in-the-clouds can be accessed at: " + instance.public_ip_address)
print("tug-of-war-in-the-clouds can be accessed at: http://" + instance.public_ip_address)
print("Using AWS Academy Lab you should be able to login as shown in the lab README using:")
print("ssh -i ~/.ssh/labsuser.pem ec2-user@" + instance.public_ip_address)
else:
print("Could not get public IP using boto3, this is likely an AWS Educate problem. You can however lookup the "
"public ip from the AWS management console.")
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