SDK for monitoring microservice dependencies via Prometheus metrics
Project description
dephealth
SDK for monitoring microservice dependencies via Prometheus metrics.
Features
- Automatic health checking for dependencies (PostgreSQL, MySQL, Redis, RabbitMQ, Kafka, HTTP, gRPC, TCP, LDAP)
- Prometheus metrics export:
app_dependency_health(Gauge 0/1),app_dependency_latency_seconds(Histogram),app_dependency_status(enum),app_dependency_status_detail(info) - Async architecture built on
asyncio - FastAPI integration (middleware, lifespan, endpoints)
- Connection pool support (preferred) and standalone checks
Installation
# Basic installation
pip install dephealth
# With specific checkers
pip install dephealth[postgres,redis]
# All checkers + FastAPI
pip install dephealth[all]
Quick Start
Standalone
from dephealth import DepHealth
dh = DepHealth()
dh.add("postgres", url="postgresql://user:pass@localhost:5432/mydb")
dh.add("redis", url="redis://localhost:6379")
await dh.start()
# Metrics are available via prometheus_client
await dh.stop()
FastAPI
from fastapi import FastAPI
from dephealth_fastapi import DepHealthFastAPI
app = FastAPI()
dh = DepHealthFastAPI(app)
dh.add("postgres", url="postgresql://user:pass@localhost:5432/mydb")
Dynamic Endpoints
Add, remove, or replace monitored endpoints at runtime on a running instance (v0.6.0+):
from dephealth import DependencyType, Endpoint
from dephealth.checks.http import HTTPChecker
# After dh.start()...
# Add a new endpoint
await dh.add_endpoint(
"api-backend",
DependencyType.HTTP,
True,
Endpoint(host="backend-2.svc", port="8080"),
HTTPChecker(),
)
# Remove an endpoint (cancels check task, deletes metrics)
await dh.remove_endpoint("api-backend", "backend-2.svc", "8080")
# Replace an endpoint atomically
await dh.update_endpoint(
"api-backend",
"backend-1.svc", "8080",
Endpoint(host="backend-3.svc", port="8080"),
HTTPChecker(),
)
Synchronous variants are available: add_endpoint_sync(),
remove_endpoint_sync(), update_endpoint_sync().
See migration guide for details.
Health Details
details = dh.health_details()
for key, ep in details.items():
print(f"{key}: healthy={ep.healthy} status={ep.status} "
f"latency={ep.latency_millis():.1f}ms")
Configuration
| Parameter | Default | Description |
|---|---|---|
interval |
15 |
Check interval (seconds) |
timeout |
5 |
Check timeout (seconds) |
Supported Dependencies
| Type | Extra | URL Format |
|---|---|---|
| PostgreSQL | postgres |
postgresql://user:pass@host:5432/db |
| MySQL | mysql |
mysql://user:pass@host:3306/db |
| Redis | redis |
redis://host:6379 |
| RabbitMQ | amqp |
amqp://user:pass@host:5672/vhost |
| Kafka | kafka |
kafka://host1:9092,host2:9092 |
| HTTP | — | http://host:8080/health |
| gRPC | grpc |
host:50051 (via FromParams) |
| TCP | — | tcp://host:port |
| LDAP | ldap |
ldap://host:389 or ldaps://host:636 |
LDAP Checker
LDAP health checker supports four check methods and multiple TLS modes:
from dephealth.checks.ldap import LdapChecker, LdapCheckMethod, LdapSearchScope
# RootDSE check (default)
ldap_checker = LdapChecker(check_method=LdapCheckMethod.ROOT_DSE)
# Simple bind with credentials
ldap_checker = LdapChecker(
check_method=LdapCheckMethod.SIMPLE_BIND,
bind_dn="cn=monitor,dc=corp,dc=com",
bind_password="secret",
use_tls=True,
)
# Search with StartTLS
ldap_checker = LdapChecker(
check_method=LdapCheckMethod.SEARCH,
base_dn="dc=example,dc=com",
search_filter="(objectClass=organizationalUnit)",
search_scope=LdapSearchScope.ONE,
start_tls=True,
)
Check methods: ANONYMOUS_BIND, SIMPLE_BIND, ROOT_DSE (default), SEARCH.
Authentication
HTTP and gRPC checkers support Bearer token, Basic Auth, and custom headers/metadata:
http_check("secure-api",
url="http://api.svc:8080",
critical=True,
bearer_token="eyJhbG...",
)
grpc_check("grpc-backend",
host="backend.svc",
port=9090,
critical=True,
bearer_token="eyJhbG...",
)
See authentication guide for all options.
Documentation
Full documentation is available in the docs/ directory.
License
Apache License 2.0 — see LICENSE.
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