#2093  # Type of request: This is a ...

[*] bug report
[ ] feature request

# Detailed description
Unable to invoke lambda function compiled in java 11. Localstack latest image still shows java version 8.

## Expected behavior
Should be able to invoke lambda function compiled in java 11.

## Actual behavior
Getting error-
Exception in thread "main" java.lang.UnsupportedClassVersionError: publisFunction has been compiled by a more recent version of the Java Runtime (class file version 55.0), this version of the Java Runtime only recognizes class file versions up to 52.0

# Steps to reproduce

docker-compose up -d
Create lambda function
Create SQS 
map lambda and sqs
send message to SQS to invoke lambda

Error message SS:
![image](https://user-images.githubusercontent.com/54183749/96603894-1a561c00-12ba-11eb-9d40-a19370a7c3aa.png)

![LS_error](https://user-images.githubusercontent.com/54183749/96603954-293cce80-12ba-11eb-9566-3942f96e564a.png)


Similar issue was reported #2093.  Couldn't find the answer if that was fixed and latest image of Localstack should compile in JAVA 11.
lambda_client.delete_function(FunctionName=function_name)
    def test_create_kinesis_event_source_mapping(self):
        function_name = 'lambda_func-{}'.format(short_uid())
        stream_name = 'test-foobar'
        testutil.create_lambda_function(
            handler_file=TEST_LAMBDA_ECHO_FILE,
            func_name=function_name,
            runtime=LAMBDA_RUNTIME_PYTHON36
        )
        arn = aws_stack.kinesis_stream_arn(stream_name, account_id='000000000000')
        lambda_client = aws_stack.connect_to_service('lambda')
        lambda_client.create_event_source_mapping(
            EventSourceArn=arn,
            FunctionName=function_name
        )
        stream_name = 'test-foobar'
        aws_stack.create_kinesis_stream(stream_name, delete=True)
        kinesis_connector.listen_to_kinesis(
            stream_name=stream_name,
            wait_until_started=True)
        kinesis = aws_stack.connect_to_service('kinesis')
        stream_summary = kinesis.describe_stream_summary(StreamName=stream_name)
        self.assertEqual(stream_summary['StreamDescriptionSummary']['OpenShardCount'], 1)
        num_events_kinesis = 10
        kinesis.put_records(Records=[
            {
                'Data': '{}',
                'PartitionKey': 'test_%s' % i
            } for i in range(0, num_events_kinesis)
        ], StreamName=stream_name)