Your Camunda 7 Platform is a Black Box.
Let's Make It Crystal Clear

with ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:
    # Parallel JMX + DB queries
    jmx_future = executor.submit(collect_jmx)
    db_futures = {...}

    # Query each node concurrently
    node_futures = [
        executor.submit(fetch_node, name, url)
        for name, url in CAMUNDA_NODES.items()
    ]

    results = [f.result() for f in node_futures]

def get_cached_analysis(cache_key):
    # Try Redis first (L1)
    try:
        if redis_client:
            cached = redis_client.get(cache_key)
            if cached:
                return json.loads(cached)
    except Exception as e:
        logger.warning(f"Redis client issue: {e}")

    # Fallback to memory (L2)
    if cache_key in memory_cache:
        return memory_cache.get(cache_key)

    return None  # Cache MISS

from psycopg2 import pool

camunda_pool = pool.ThreadedConnectionPool(
    minconn=5,    # Always maintain 5
    maxconn=20,   # Scale up to 20
    host=CAMUNDA_DB_HOST,
    database=CAMUNDA_DB_NAME,
    connect_timeout=10
)

def get_connection():
    conn = camunda_pool.getconn()
    try:
        yield conn
    finally:
        camunda_pool.putconn(conn)

import signal, atexit

def cleanup_resources():
    logger.info("Graceful shutdown...")

    if camunda_pool:
        camunda_pool.closeall()
    if redis_client:
        redis_client.close()

    logger.info("Cleanup complete")

signal.signal(signal.SIGTERM,
              lambda s, f: cleanup_resources())
signal.signal(signal.SIGINT,
              lambda s, f: cleanup_resources())
atexit.register(cleanup_resources)