Skip to main content

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 quickstart guide for all options.

License

Apache License 2.0 — see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dephealth-0.8.0.tar.gz (180.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dephealth-0.8.0-py3-none-any.whl (34.7 kB view details)

Uploaded Python 3

File details

Details for the file dephealth-0.8.0.tar.gz.

File metadata

  • Download URL: dephealth-0.8.0.tar.gz
  • Upload date:
  • Size: 180.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for dephealth-0.8.0.tar.gz
Algorithm Hash digest
SHA256 3b8fd6cc61e6fcc0e23c5dc77993b00fdb7fe01575c9702e14eef60ccbbc53d2
MD5 4f95914b7e4915a6f98e2951976a58e2
BLAKE2b-256 f6b709d079235c8ac2de6b5593119318c44723d89cd49534c0d2bcb15d96c380

See more details on using hashes here.

File details

Details for the file dephealth-0.8.0-py3-none-any.whl.

File metadata

  • Download URL: dephealth-0.8.0-py3-none-any.whl
  • Upload date:
  • Size: 34.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for dephealth-0.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b8cd3fc35442105e3d2131ae2c8a76037fa523e1a935a109ebbfb12eb94acc73
MD5 c52bbaa3ad648ac30ccd8eac189f4cc3
BLAKE2b-256 fdc8f54b77169beef93fdc925b35c55d0d9285ff3e6a46f61058c14b35513913

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page