⚙️ Claude Mastery Guide

import anthropic def analyze_pod_logs(pod_logs: str) -> str: client = anthropic.Anthropic( api_key="your-api-key" ) message = client.messages.create( model="claude-3-5-sonnet-20241022", max_tokens=1024, messages=[ { "role": "user", "content": f"""Analyze this pod crash logs: {pod_logs} Provide: 1. Root cause 2. Evidence from logs 3. Immediate fix 4. Prevention measures""" } ] ) return message.content[0].text # Usage logs = """[ERROR] Connection refused [WARN] Max retries exceeded""" result = analyze_pod_logs(logs) print(result)

class ProductionClaudeClient: def __init__(self, api_key: str): self.client = anthropic.Anthropic(api_key=api_key) self.cache = redis.Redis() # Caching layer def analyze_logs_with_cache(self, logs: str) -> str: # Check cache first cache_key = hashlib.sha256(logs.encode()).hexdigest() cached = self.cache.get(cache_key) if cached: return cached # Call Claude with error handling try: response = self.client.messages.create( model="claude-3-5-sonnet-20241022", max_tokens=1024, messages=[{"role": "user", "content": logs}] ) result = response.content[0].text # Cache for 24 hours self.cache.setex(cache_key, 86400, result) return result except anthropic.APIError as e: # Log to monitoring system logger.error(f"Claude API error: {e}") # Fallback to manual inspection required notify_slack("Claude analysis failed, manual check needed") raise

apiVersion: apps/v1 kind: Deployment metadata: name: api-server labels: app: api-server spec: replicas: 3 selector: matchLabels: app: api-server template: metadata: labels: app: api-server spec: containers: - name: app image: myapp:1.0 ports: - containerPort: 8000 resources: requests: cpu: 100m memory: 128Mi limits: cpu: 500m memory: 512Mi livenessProbe: httpGet: path: /health port: 8000 initialDelaySeconds: 10 readinessProbe: httpGet: path: /ready port: 8000 initialDelaySeconds: 5