Skip to main content

SDK for monitoring microservice dependencies via Prometheus metrics

Project description

Русская версия

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.

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-0.8.2.tar.gz (225.1 kB view details)

Uploaded Source

Built Distribution

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

dephealth-0.8.2-py3-none-any.whl (35.2 kB view details)

Uploaded Python 3

File details

Details for the file dephealth-0.8.2.tar.gz.

File metadata

  • Download URL: dephealth-0.8.2.tar.gz
  • Upload date:
  • Size: 225.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for dephealth-0.8.2.tar.gz
Algorithm Hash digest
SHA256 f877d43c601de936b3c2724dec92f48a23ef72977f13d148096791047962b0db
MD5 1ecc3c91c8364d9b798c31ad32a8a57b
BLAKE2b-256 3ef01b7cb54dec4fb09944a81e3187865c0712e54ebce4ac748cd29e3aef7002

See more details on using hashes here.

File details

Details for the file dephealth-0.8.2-py3-none-any.whl.

File metadata

  • Download URL: dephealth-0.8.2-py3-none-any.whl
  • Upload date:
  • Size: 35.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for dephealth-0.8.2-py3-none-any.whl
Algorithm Hash digest
SHA256 77934bcca9bbb19e6c4cb335eee51331357116572f10489256b8c7a50ea436ce
MD5 013b4e6dc14793f6c5f983dc7672f658
BLAKE2b-256 689121a4ab92c18410793e801818845633cd4130aa3cd450892571a339c832dc

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