Initial commit: Complete DevServer monitoring framework

- FastAPI application with OpenTelemetry instrumentation
- Redis caching and Celery task processing
- Docker Compose setup with monitoring stack
- Grafana dashboards and Prometheus metrics
- Jaeger distributed tracing
- Comprehensive documentation in docs/ folder
- Monitoring configuration and troubleshooting guides
This commit is contained in:
Hardik Sankhla
2025-10-13 09:55:17 +05:30
commit 2304c3ed12
32 changed files with 7146 additions and 0 deletions

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{
"id": null,
"uid": "devserver-main",
"title": "DevServer Monitoring Dashboard",
"tags": ["devserver", "monitoring", "fastapi"],
"timezone": "browser",
"schemaVersion": 27,
"version": 1,
"refresh": "30s",
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {
"refresh_intervals": ["5s", "10s", "30s", "1m", "5m", "15m", "30m", "1h", "2h", "1d"]
},
"panels": [
{
"id": 1,
"title": "API Request Rate",
"type": "timeseries",
"targets": [
{
"expr": "rate(http_requests_total[5m])",
"legendFormat": "{{method}} {{endpoint}}",
"refId": "A"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 0},
"fieldConfig": {
"defaults": {
"unit": "reqps"
}
}
},
{
"id": 2,
"title": "API Response Time (p95 & p50)",
"type": "timeseries",
"targets": [
{
"expr": "histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))",
"legendFormat": "95th percentile",
"refId": "A"
},
{
"expr": "histogram_quantile(0.50, rate(http_request_duration_seconds_bucket[5m]))",
"legendFormat": "50th percentile",
"refId": "B"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 0},
"fieldConfig": {
"defaults": {
"unit": "s"
}
}
},
{
"id": 3,
"title": "HTTP Status Codes Distribution",
"type": "piechart",
"targets": [
{
"expr": "sum(increase(http_requests_total[5m])) by (status)",
"legendFormat": "{{status}}",
"refId": "A"
}
],
"gridPos": {"h": 8, "w": 8, "x": 0, "y": 8}
},
{
"id": 4,
"title": "Active Requests",
"type": "stat",
"targets": [
{
"expr": "http_requests_in_progress",
"legendFormat": "In Progress",
"refId": "A"
}
],
"gridPos": {"h": 4, "w": 8, "x": 8, "y": 8},
"fieldConfig": {
"defaults": {
"unit": "short",
"color": {
"mode": "thresholds"
},
"thresholds": {
"mode": "absolute",
"steps": [
{"value": null, "color": "green"},
{"value": 50, "color": "yellow"},
{"value": 100, "color": "red"}
]
}
}
}
},
{
"id": 5,
"title": "Total Requests (5m)",
"type": "stat",
"targets": [
{
"expr": "sum(increase(http_requests_total[5m]))",
"legendFormat": "Total",
"refId": "A"
}
],
"gridPos": {"h": 4, "w": 8, "x": 16, "y": 8},
"fieldConfig": {
"defaults": {
"unit": "short"
}
}
},
{
"id": 6,
"title": "Error Rate (5xx)",
"type": "stat",
"targets": [
{
"expr": "sum(rate(http_requests_total{status=~\"5..\"}[5m])) / sum(rate(http_requests_total[5m])) * 100",
"legendFormat": "Error Rate",
"refId": "A"
}
],
"gridPos": {"h": 4, "w": 8, "x": 8, "y": 12},
"fieldConfig": {
"defaults": {
"unit": "percent",
"color": {
"mode": "thresholds"
},
"thresholds": {
"mode": "absolute",
"steps": [
{"value": null, "color": "green"},
{"value": 1, "color": "yellow"},
{"value": 5, "color": "red"}
]
}
}
}
},
{
"id": 7,
"title": "Average Response Time",
"type": "stat",
"targets": [
{
"expr": "rate(http_request_duration_seconds_sum[5m]) / rate(http_request_duration_seconds_count[5m])",
"legendFormat": "Avg Response Time",
"refId": "A"
}
],
"gridPos": {"h": 4, "w": 8, "x": 16, "y": 12},
"fieldConfig": {
"defaults": {
"unit": "s",
"decimals": 3
}
}
},
{
"id": 8,
"title": "Container CPU Usage",
"type": "timeseries",
"targets": [
{
"expr": "rate(container_cpu_usage_seconds_total{name=~\"devserver.*\"}[5m]) * 100",
"legendFormat": "{{name}}",
"refId": "A"
}
],
"gridPos": {"h": 8, "w": 12, "x": 0, "y": 16},
"fieldConfig": {
"defaults": {
"unit": "percent"
}
}
},
{
"id": 9,
"title": "Container Memory Usage",
"type": "timeseries",
"targets": [
{
"expr": "container_memory_usage_bytes{name=~\"devserver.*\"} / 1024 / 1024",
"legendFormat": "{{name}}",
"refId": "A"
}
],
"gridPos": {"h": 8, "w": 12, "x": 12, "y": 16},
"fieldConfig": {
"defaults": {
"unit": "mbytes"
}
}
},
{
"id": 10,
"title": "RabbitMQ Queue Size",
"type": "timeseries",
"targets": [
{
"expr": "rabbitmq_queue_messages",
"legendFormat": "{{queue}}",
"refId": "A"
}
],
"gridPos": {"h": 6, "w": 12, "x": 0, "y": 24},
"fieldConfig": {
"defaults": {
"unit": "short"
}
}
},
{
"id": 11,
"title": "RabbitMQ Message Rate",
"type": "timeseries",
"targets": [
{
"expr": "rate(rabbitmq_queue_messages_published_total[5m])",
"legendFormat": "Published",
"refId": "A"
},
{
"expr": "rate(rabbitmq_queue_messages_delivered_total[5m])",
"legendFormat": "Delivered",
"refId": "B"
}
],
"gridPos": {"h": 6, "w": 12, "x": 12, "y": 24},
"fieldConfig": {
"defaults": {
"unit": "msgs/s"
}
}
},
{
"id": 12,
"title": "OpenTelemetry Collector Metrics",
"type": "timeseries",
"targets": [
{
"expr": "rate(otelcol_receiver_accepted_spans[5m])",
"legendFormat": "Spans Received",
"refId": "A"
},
{
"expr": "rate(otelcol_exporter_sent_spans[5m])",
"legendFormat": "Spans Exported",
"refId": "B"
}
],
"gridPos": {"h": 6, "w": 12, "x": 0, "y": 30},
"fieldConfig": {
"defaults": {
"unit": "ops"
}
}
},
{
"id": 13,
"title": "Process Memory Usage",
"type": "timeseries",
"targets": [
{
"expr": "process_resident_memory_bytes / 1024 / 1024",
"legendFormat": "{{job}}",
"refId": "A"
}
],
"gridPos": {"h": 6, "w": 12, "x": 12, "y": 30},
"fieldConfig": {
"defaults": {
"unit": "mbytes"
}
}
}
],
"templating": {
"list": []
},
"annotations": {
"list": [
{
"datasource": "Prometheus",
"enable": true,
"expr": "ALERTS{alertstate=\"firing\"}",
"iconColor": "red",
"name": "Alerts",
"step": "60s",
"tagKeys": "alertname",
"textFormat": "{{alertname}}",
"titleFormat": "Alert"
}
]
},
"links": [],
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"style": "dark"
}

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apiVersion: 1
providers:
- name: 'DevServer Dashboards'
type: file
disableDeletion: false
updateIntervalSeconds: 10
allowUiUpdates: true
options:
path: /var/lib/grafana/dashboards

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apiVersion: 1
datasources:
- name: Prometheus
type: prometheus
access: proxy
url: http://prometheus:9090
isDefault: true
editable: true
jsonData:
timeInterval: "5s"
- name: Loki
type: loki
access: proxy
url: http://loki:3100
isDefault: false
editable: true
jsonData:
maxLines: 1000
- name: Jaeger
type: jaeger
access: proxy
url: http://jaeger:16686
isDefault: false
editable: true

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auth_enabled: false
server:
http_listen_port: 3100
grpc_listen_port: 9096
common:
instance_addr: 127.0.0.1
path_prefix: /tmp/loki
storage:
filesystem:
chunks_directory: /tmp/loki/chunks
rules_directory: /tmp/loki/rules
replication_factor: 1
ring:
kvstore:
store: inmemory
limits_config:
allow_structured_metadata: false
query_range:
results_cache:
cache:
embedded_cache:
enabled: true
max_size_mb: 100
schema_config:
configs:
- from: 2020-10-24
store: boltdb-shipper
object_store: filesystem
schema: v11
index:
prefix: index_
period: 24h
ruler:
alertmanager_url: http://localhost:9093
# By default, Loki will send anonymous, but uniquely-identifiable usage and configuration
# analytics to Grafana Labs. These statistics are sent to https://stats.grafana.org/
#
# Statistics help us better understand how Loki is used and guide our investments.
# This helps us prioritize features and documentation.
# For more information on the stats we collect check out
# https://github.com/grafana/loki/blob/main/pkg/usagestats/stats.go
# Refer to the documentation for more info on configuring the usage_stats config.
analytics:
reporting_enabled: false

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receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
prometheus:
config:
scrape_configs:
- job_name: 'otel-collector'
static_configs:
- targets: ['localhost:8888']
processors:
batch:
timeout: 1s
send_batch_size: 1024
memory_limiter:
check_interval: 1s
limit_mib: 512
spike_limit_mib: 128
exporters:
debug:
verbosity: detailed
prometheus:
endpoint: "0.0.0.0:8889"
namespace: otelcol
prometheusremotewrite:
endpoint: "http://prometheus:9090/api/v1/write"
# Jaeger exporter - using OTLP/gRPC protocol
otlp/jaeger:
endpoint: "jaeger:4317"
tls:
insecure: true
file/logs:
path: "/var/log/otel-collector/logs.json"
rotation:
max_megabytes: 100
max_days: 3
max_backups: 3
extensions:
health_check:
endpoint: 0.0.0.0:13133
pprof:
endpoint: 0.0.0.0:1888
zpages:
endpoint: 0.0.0.0:55679
service:
extensions: [health_check, pprof, zpages]
telemetry:
logs:
level: info
metrics:
level: detailed
pipelines:
traces:
receivers: [otlp]
processors: [memory_limiter, batch]
exporters: [debug, otlp/jaeger]
metrics:
receivers: [otlp, prometheus]
processors: [memory_limiter, batch]
exporters: [prometheus, prometheusremotewrite, debug]
logs:
receivers: [otlp]
processors: [memory_limiter, batch]
exporters: [file/logs, debug]

52
monitoring/prometheus.yml Normal file
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global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
# Prometheus itself
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']
# FastAPI Application
- job_name: 'fastapi-app'
static_configs:
- targets: ['devserver:8000']
scrape_interval: 5s
scrape_timeout: 4s
metrics_path: '/metrics'
# RabbitMQ Metrics
- job_name: 'rabbitmq'
static_configs:
- targets: ['rabbitmq:15692']
scrape_interval: 15s
# Loki Metrics
- job_name: 'loki'
static_configs:
- targets: ['loki:3100']
scrape_interval: 15s
metrics_path: '/metrics'
# cAdvisor Container Metrics
- job_name: 'cadvisor'
static_configs:
- targets: ['cadvisor:8080']
scrape_interval: 15s
metrics_path: '/metrics'
# OTEL Collector Metrics
- job_name: 'otel-collector'
static_configs:
- targets: ['otel-collector:8889']
scrape_interval: 15s
scrape_timeout: 10s
metrics_path: '/metrics'
# Jaeger Metrics
- job_name: 'jaeger'
static_configs:
- targets: ['jaeger:14269']
scrape_interval: 15s
metrics_path: '/metrics'

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server:
http_listen_port: 9080
grpc_listen_port: 0
positions:
filename: /tmp/positions.yaml
clients:
- url: http://loki:3100/loki/api/v1/push
scrape_configs:
- job_name: docker
docker_sd_configs:
- host: unix:///var/run/docker.sock
refresh_interval: 5s
relabel_configs:
- source_labels: ['__meta_docker_container_name']
regex: '/(.*)'
target_label: 'container'
- source_labels: ['__meta_docker_container_name']
regex: '/(.*)'
target_label: 'container_name'
- source_labels: ['__meta_docker_container_name']
regex: '/(.*)'
target_label: 'job'
- source_labels: ['__meta_docker_container_name']
regex: '/(.*)'
replacement: '$1'
target_label: 'instance'
pipeline_stages:
- json:
expressions:
level: level
timestamp: timestamp
message: message
service: service
- labels:
level:
service:
- timestamp:
source: timestamp
format: '2006-01-02T15:04:05.000Z07:00'
- output:
source: message