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- Use CloudWatch to monitor and alert on metrics and logs. ### Example Implementation Here's an example implementation using Python and AWS SDKs to ensure the security of audit logs: ```python import boto3 import json from botocore.ex…

microservice = Microservice("example", "http://localhost:8080") service_discovery.register_service(microservice.name, microservice.url) client = Client(service_discovery) # Mock the microservice endpoint mock_response = mock_microservice_e…

tasks = [] for i in range(num_users): start_time = time.time() tasks.append(generate_response_async(f"Query {i}")) responses = await asyncio.gather(*tasks) for i, response in enumerate(responses): …

return llm.accuracy elif criterion == "latency": return llm.latency else: return 0 # Example usage: criteria = ["accuracy", "latency", "cost"] evaluator = LLMEvaluator(criteria) llm = {"a…

- Using a context manager can make your code cleaner and easier to read. Here's an improved version of your code with these suggestions: ```python import time import logging # Configure logging logging.basicConfig(level=logging.INFO) …

except okta.exceptions.OktaError as oe: logging.error(f"Okta error occurred: {oe}") except Exception as e: logging.error(f"Unexpected error occurred: {e}") return False # Test the function if __name__ == "__main…

query = ''.join(np.random.choice(list(string.ascii_letters + string.digits), size=query_length)) test_queries.append(query) # Simulate complexity calculation and resizing complexity = len(query) / 20…

# Load the test interactions interactions = np.load("interactions.npy", allow_pickle=True) # Test the algorithm def test_algorithm(algorithm, interactions): true_ratings = [interaction['rating'] for interaction in interactions] pre…

if check_rotation_success(rotated_operation): return {"operation": operation, "result": "Success"} else: return {"operation": operation, "result": "Failure"} except Exception as e: logging…