apiVersion: apps/v1kind: StatefulSetmetadata:  name: kafkaspec:  serviceName: kafka  replicas: 3  template:    spec:      containers:        - name: kafka          image: cleanstart/kafka:3.3.1-prod          ports:            - containerPort: 9092          volumeMounts:            - name: data              mountPath: /var/lib/kafka  volumeClaimTemplates:    - metadata:        name: data      spec:        accessModes: ["ReadWriteOnce"]        resources:          requests:            storage: 10Gi

# test_kafka_cluster.pyimport subprocessimport jsonfrom kafka import KafkaProducer, KafkaConsumerfrom kafka.admin import KafkaAdminClient, ConfigResource, ConfigResourceType def test_kafka_broker_quorum():    """Verify all brokers form quorum"""    # Check broker metadata    result = subprocess.run(        ["kubectl", "exec", "kafka-0", "-n", "messaging", "--",         "kafka-broker-api-versions.sh", "--bootstrap-server", "kafka:9092"],        capture_output=True,        text=True    )    assert result.returncode == 0    assert "ApiVersion" in result.stdout def test_kafka_replication_factor():    """Verify topic replication factor = broker count"""    topic = "test-topic"    num_brokers = 3    replication_factor = 3     # Create topic    subprocess.run(        ["kubectl", "exec", "kafka-0", "-n", "messaging", "--",         "kafka-topics.sh", "--bootstrap-server", "kafka:9092",         "--create", "--topic", topic,         "--partitions", "3", "--replication-factor", str(replication_factor)],        check=True    )     # Verify replication    result = subprocess.run(        ["kubectl", "exec", "kafka-0", "-n", "messaging", "--",         "kafka-topics.sh", "--bootstrap-server", "kafka:9092",         "--describe", "--topic", topic],        capture_output=True,        text=True    )     # Parse output: "Isr: 0,1,2" means all brokers in sync    assert "Isr: 0,1,2" in result.stdout def test_kafka_producer_consumer():    """Verify producer/consumer through Kafka"""    messages = ["msg1", "msg2", "msg3"]     # Produce messages    producer = KafkaProducer(        bootstrap_servers=["kafka:9092"],        value_serializer=lambda v: v.encode('utf-8')    )     for msg in messages:        producer.send("test-topic", msg)    producer.flush()     # Consume messages    consumer = KafkaConsumer(        "test-topic",        bootstrap_servers=["kafka:9092"],        auto_offset_reset='earliest',        consumer_timeout_ms=5000,        value_deserializer=lambda m: m.decode('utf-8')    )     received = [msg.value for msg in consumer]    consumer.close()     assert received == messages def test_kafka_message_ordering():    """Verify message ordering in partition"""    messages = list(range(100))     # Produce to same partition (key ensures same partition)    producer = KafkaProducer(        bootstrap_servers=["kafka:9092"],        value_serializer=lambda v: str(v).encode('utf-8')    )     for msg in messages:        producer.send("ordered-topic", msg, key=b"samekey")    producer.flush()     # Consume all messages    consumer = KafkaConsumer(        "ordered-topic",        bootstrap_servers=["kafka:9092"],        auto_offset_reset='earliest',        consumer_timeout_ms=5000,        value_deserializer=lambda m: int(m.decode('utf-8'))    )     received = [msg.value for msg in consumer]    consumer.close()     assert received == messages, "Messages not in order" def test_kafka_broker_failure_recovery():    """Verify cluster recovers from broker failure"""    # Kill broker-2    subprocess.run(        ["kubectl", "delete", "pod", "kafka-2", "-n", "messaging"],        check=True    )     # Wait for pod to restart    subprocess.run(        ["kubectl", "wait", "--for=condition=Ready", "pod/kafka-2",         "-n", "messaging", "--timeout=60s"],        check=True    )     # Verify cluster still works    producer = KafkaProducer(bootstrap_servers=["kafka:9092"])    future = producer.send("test-topic", b"after-failure")    future.get(timeout=10)  # Should succeed even after broker failure     # Verify ISR recovered (all brokers back in sync)    result = subprocess.run(        ["kubectl", "exec", "kafka-0", "-n", "messaging", "--",         "kafka-topics.sh", "--bootstrap-server", "kafka:9092",         "--describe", "--topic", "test-topic"],        capture_output=True,        text=True    )     assert "Isr: 0,1,2" in result.stdout def test_kafka_follower_can_serve_reads():    """Verify reads can come from in-sync replicas"""    # Produce messages    producer = KafkaProducer(bootstrap_servers=["kafka:9092"])    producer.send("readtest-topic", b"test")    producer.flush()     # Consume from broker-1 (follower)    consumer = KafkaConsumer(        "readtest-topic",        bootstrap_servers=["kafka-1.kafka:9092"],  # Connect to specific broker        auto_offset_reset='earliest',        consumer_timeout_ms=5000    )     messages = list(consumer)    consumer.close()     assert len(messages) > 0, "Could not read from follower"

apiVersion: apps/v1kind: StatefulSetmetadata:  name: postgresspec:  serviceName: postgres  replicas: 2  template:    spec:      containers:        - name: postgres          image: cleanstart/postgresql:15-prod          env:            - name: POSTGRES_PASSWORD              valueFrom:                secretKeyRef:                  name: postgres-secret                  key: password          volumeMounts:            - name: data              mountPath: /var/lib/postgresql

# test_postgres_cluster.pyimport psycopg2import psycopg2.extensionsimport time def test_postgres_primary_connection():    """Verify connection to primary"""    conn = psycopg2.connect(        host="postgres-0.postgres",        database="postgres",        user="postgres",        password="password"    )     cursor = conn.cursor()    cursor.execute("SELECT version()")    result = cursor.fetchone()    assert result is not None    cursor.close()    conn.close() def test_postgres_replication_lag():    """Verify WAL replication lag is minimal"""    conn = psycopg2.connect(        host="postgres-0.postgres",        database="postgres",        user="postgres",        password="password"    )     cursor = conn.cursor()    cursor.execute("""        SELECT slot_name, confirmed_flush_lsn        FROM pg_replication_slots        WHERE slot_name = 'postgres_1'    """)     result = cursor.fetchone()    cursor.close()    conn.close()     assert result is not None, "Replication slot not found" def test_postgres_failover():    """Verify standby can become primary"""    # Delete primary pod    subprocess.run(["kubectl", "delete", "pod", "postgres-0", "-n", "database"], check=True)     # Wait for pod to restart    subprocess.run(        ["kubectl", "wait", "--for=condition=Ready", "pod/postgres-0",         "-n", "database", "--timeout=60s"],        check=True    )     # Verify new primary accepts connections    conn = psycopg2.connect(        host="postgres-0.postgres",        database="postgres",        user="postgres",        password="password"    )     cursor = conn.cursor()    cursor.execute("SELECT pg_is_in_recovery()")    is_standby = cursor.fetchone()[0]    cursor.close()    conn.close()     assert not is_standby, "Primary still in recovery mode" def test_postgres_wal_archiving():    """Verify WAL archiving works for backups"""    conn = psycopg2.connect(        host="postgres-0.postgres",        database="postgres",        user="postgres",        password="password"    )     cursor = conn.cursor()    cursor.execute("SHOW archive_mode")    result = cursor.fetchone()    assert result[0] == "on", "WAL archiving not enabled"    cursor.close()    conn.close() def test_postgres_transaction_isolation():    """Verify ACID properties"""    # Create test table    conn1 = psycopg2.connect(        host="postgres-0.postgres",        database="postgres",        user="postgres",        password="password"    )     cursor1 = conn1.cursor()    cursor1.execute("CREATE TABLE IF NOT EXISTS test (id INT, value INT)")    cursor1.execute("INSERT INTO test VALUES (1, 100)")    conn1.commit()     # Start transaction in conn1    cursor1.execute("BEGIN ISOLATION LEVEL SERIALIZABLE")    cursor1.execute("UPDATE test SET value = 200 WHERE id = 1")     # Read in conn2 (should not see uncommitted change)    conn2 = psycopg2.connect(        host="postgres-0.postgres",        database="postgres",        user="postgres",        password="password"    )     cursor2 = conn2.cursor()    cursor2.execute("SELECT value FROM test WHERE id = 1")    value_before = cursor2.fetchone()[0]     # Commit in conn1    conn1.commit()     # Read again in conn2    cursor2.execute("SELECT value FROM test WHERE id = 1")    value_after = cursor2.fetchone()[0]     cursor1.close()    cursor2.close()    conn1.close()    conn2.close()     assert value_before == 100, "Uncommitted change visible"    assert value_after == 200, "Committed change not visible"

apiVersion: apps/v1kind: StatefulSetmetadata:  name: redisspec:  serviceName: redis  replicas: 3  template:    spec:      containers:        - name: redis          image: cleanstart/redis:7-prod          ports:            - containerPort: 6379        - name: sentinel          image: cleanstart/redis:7-prod          command: ["redis-sentinel", "/etc/redis/sentinel.conf"]          ports:            - containerPort: 26379

# test_redis_cluster.pyimport redisimport time def test_redis_master_connection():    """Verify connection to Redis master"""    r = redis.Redis(host="redis-master", port=6379, decode_responses=True)    result = r.ping()    assert result is True def test_redis_sentinel_discovery():    """Verify Sentinel can discover master"""    from redis.sentinel import Sentinel     sentinels = [("redis-sentinel-0", 26379), ("redis-sentinel-1", 26379), ("redis-sentinel-2", 26379)]    sentinel = Sentinel(sentinels)     master = sentinel.master_for("mymaster", socket_timeout=0.1)    result = master.ping()    assert result is True def test_redis_replication():    """Verify master-replica replication"""    # Write to master    master = redis.Redis(host="redis-master", port=6379, decode_responses=True)    master.set("test-key", "test-value")     # Read from replica with slight delay for replication    time.sleep(0.5)    replica = redis.Redis(host="redis-replica-0", port=6379, decode_responses=True)    value = replica.get("test-key")     assert value == "test-value", "Data not replicated" def test_redis_failover():    """Verify Sentinel triggers failover"""    # Kill master    subprocess.run(["kubectl", "delete", "pod", "redis-master", "-n", "cache"], check=True)     # Wait for Sentinel to detect failure and failover (usually < 30s)    time.sleep(10)     # Verify new master is elected    from redis.sentinel import Sentinel    sentinels = [("redis-sentinel-0", 26379)]    sentinel = Sentinel(sentinels)     master = sentinel.master_for("mymaster", socket_timeout=0.1)    result = master.ping()    assert result is True def test_redis_persistence():    """Verify data persists across restart"""    master = redis.Redis(host="redis-master", port=6379, decode_responses=True)    master.set("persistent-key", "persistent-value")     # Restart master pod    subprocess.run(["kubectl", "delete", "pod", "redis-master", "-n", "cache"], check=True)    subprocess.run(        ["kubectl", "wait", "--for=condition=Ready", "pod/redis-master",         "-n", "cache", "--timeout=60s"],        check=True    )     # Verify data still exists    master = redis.Redis(host="redis-master", port=6379, decode_responses=True)    value = master.get("persistent-key")    assert value == "persistent-value" def test_redis_set_get_performance():    """Verify SET/GET performance"""    r = redis.Redis(host="redis-master", port=6379)     import time    start = time.time()     for i in range(10000):        r.set(f"key-{i}", f"value-{i}")        r.get(f"key-{i}")     elapsed = time.time() - start    ops_per_sec = 20000 / elapsed  # 10k sets + 10k gets     assert ops_per_sec > 10000, f"Performance too slow: {ops_per_sec:.0f} ops/sec"

# Run all cluster-mode tests./test-suite run \  --category cluster-mode \  --cluster gke-staging # Run specific cluster test./test-suite run \  --test kafka_broker_failure_recovery \  --cluster gke-staging # Generate cluster test report./test-suite run \  --category cluster-mode \  --cluster gke-staging \  --format html \  --output cluster-report.html

def test_kafka_network_partition():    """Simulate network partition and verify recovery"""    # Block all traffic to kafka-2    subprocess.run([        "kubectl", "exec", "kafka-0", "-n", "messaging", "--",        "iptables", "-A", "OUTPUT", "-d", "kafka-2", "-j", "DROP"    ], check=True)     # Verify cluster still works (2/3 brokers)    producer = KafkaProducer(bootstrap_servers=["kafka:9092"])    future = producer.send("test-topic", b"during-partition")    future.get(timeout=10)     # Restore connectivity    subprocess.run([        "kubectl", "exec", "kafka-0", "-n", "messaging", "--",        "iptables", "-D", "OUTPUT", "-d", "kafka-2", "-j", "DROP"    ], check=True)     # Verify kafka-2 recovers    result = subprocess.run(        ["kubectl", "exec", "kafka-0", "-n", "messaging", "--",         "kafka-topics.sh", "--bootstrap-server", "kafka:9092",         "--describe", "--topic", "test-topic"],        capture_output=True,        text=True    )     assert "Isr: 0,1,2" in result.stdout, "ISR not recovered"

def test_postgres_under_memory_pressure():    """Verify PostgreSQL handles memory pressure gracefully"""    conn = psycopg2.connect(        host="postgres-0.postgres",        database="postgres",        user="postgres",        password="password"    )     cursor = conn.cursor()     # Create large table    cursor.execute("""        CREATE TABLE large_data AS        SELECT generate_series(1, 1000000) as id, md5(random()::text) as data    """)    conn.commit()     # Verify table created despite memory pressure    cursor.execute("SELECT COUNT(*) FROM large_data")    count = cursor.fetchone()[0]     cursor.close()    conn.close()     assert count == 1000000