Synthetic Monitoring – Complete Guide

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Synthetic Monitoring – Complete Guide

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1. Observability Foundation

Modern observability is not a single tool, but a stack of complementary signals:

Infrastructure + Logs + APM + Synthetic + RUM
============================================
                Alerts + Dashboards

Role of Each Signal

LayerPurpose
Infrastructure MonitoringCPU, memory, disk, network, nodes
Log MonitoringErrors, warnings, audit trails
APMTraces, service latency, dependencies
Synthetic MonitoringProactive availability & performance checks
RUM (Real User Monitoring)Actual end-user experience

👉 Synthetic Monitoring fills the proactive gap: it tells you something is broken before real users complain.


2. What Is Synthetic Monitoring?

Synthetic Monitoring is a technique where automated scripts simulate user or system behavior by sending requests to your application at regular intervals.

These scripts:

  • Call endpoints
  • Validate availability
  • Measure performance
  • Check correctness

Even if no real users are active, synthetic monitoring still runs.


3. Core Concept (From Your Notes)

SCRIPT  --->  ENDPOINT (API / HTTP / TCP / UDP)
                 |
              UP or DOWN?

Key Characteristics

  • Script-driven
  • Predictable execution
  • Runs on schedule
  • Independent of real traffic

4. What Can Synthetic Monitoring Test?

Supported Protocols

ProtocolUse Case
HTTP / HTTPSREST APIs, websites
API (REST / GraphQL)Backend services
TCPDatabase ports, SMTP, SSH
UDPDNS, VoIP, streaming
ICMPBasic reachability (ping)

5. Types of Synthetic Monitoring

5.1 API / HTTP Synthetic Monitoring (No JavaScript)

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Characteristics

  • Direct HTTP calls
  • JavaScript not executed
  • Lightweight and fast
  • Ideal for backend checks

Typical Checks

  • Status code (200/201/etc.)
  • Response time
  • Response body validation
  • Headers and auth
  • TLS handshake

Example

Client (Synthetic Agent) ---> HTTP API
                              |
                          JSON Response
Code language: JavaScript (javascript)

5.2 Browser Synthetic Monitoring (JavaScript Executed)

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Characteristics

  • Uses a real browser
  • Executes JavaScript
  • Simulates real user behavior
  • Heavier than API checks

Typical Scenarios

  • Login flow
  • Form submission
  • SPA loading (React / Angular / Vue)
  • Checkout journey

Example

Synthetic Browser ---> Load HTML ---> Execute JS ---> DOM rendered

6. Where Are Synthetic Scripts Hosted?

Script Hosting Model

=============================
SCRIPT hosted by Monitoring Platform
=============================

In tools like Dynatrace, scripts are:

  • Centrally managed
  • Versioned
  • Secure
  • Executed by managed agents

7. Global Execution Locations (15+ Regions)

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Scripts run from multiple geographic regions:

USA   ---> API ---> Latency / Availability
INDIA ---> API ---> Latency / Availability
EU    ---> API ---> Latency / Availability

Why Global Locations Matter

  • Detect regional outages
  • Measure geo-latency
  • Validate CDN behavior
  • Catch ISP-specific issues

8. What Exactly Is Tested in a Synthetic Request?

From your notes:

https
  protocol
  load
  auth
    pass
    cert
    token
  body
  param

Detailed Breakdown

8.1 Protocol

  • HTTP / HTTPS
  • TLS version
  • Cipher negotiation

8.2 Load & Performance

  • DNS resolution time
  • TCP connect time
  • TLS handshake time
  • Time to first byte (TTFB)
  • Total response time

8.3 Authentication

TypeExample
Basic AuthUsername + Password
TokenBearer / OAuth / JWT
CertificatemTLS
Custom HeadersAPI keys

8.4 Request Body

  • JSON
  • XML
  • Form data
  • GraphQL payload

8.5 Parameters

  • Query parameters
  • Path variables
  • Headers

9. Availability vs Performance

Synthetic Monitoring checks both:

AspectExample
AvailabilityEndpoint reachable?
PerformanceResponse < 500ms?
CorrectnessJSON field exists?
SecurityTLS valid?

10. Alerting & Dashboards

Alert Flow

Synthetic Failure
      ↓
Alert Rule Triggered
      ↓
Notification (Slack / Email / PagerDuty)

Dashboards Show

  • Uptime %
  • Response time trends
  • Region-wise comparison
  • Failure root causes

11. Synthetic vs RUM (Critical Difference)

Synthetic MonitoringRUM
ProactiveReactive
Script-basedReal users
ControlledUncontrolled
Runs 24×7Runs when users exist

👉 Best practice: Always use Synthetic + RUM together.


12. Common Use Cases

  • API health checks
  • Login page monitoring
  • SSL certificate expiry checks
  • Geo-availability validation
  • Pre-release testing
  • SLA / SLO verification

13. Best Practices

Design

  • Keep scripts small and focused
  • Separate API and browser checks
  • Avoid unnecessary UI steps

Execution

  • Run from multiple regions
  • Use realistic authentication
  • Set meaningful thresholds

Alerting

  • Avoid alert storms
  • Combine with APM context
  • Alert on user-impacting failures

14. Synthetic Monitoring in Observability Strategy

Infra + Logs + APM + Synthetic + RUM
===================================
        Single Pane of Glass

Synthetic Monitoring acts as:

  • Early warning system
  • External viewpoint
  • SLA guardian

15. Summary

Synthetic Monitoring:

  • Uses scripts to test endpoints
  • Works with HTTP, API, TCP, UDP
  • Runs globally from managed regions
  • Tests availability, performance, and correctness
  • Complements APM and RUM
  • Enables proactive incident detection

One thought on “Synthetic Monitoring – Complete Guide

  1. Outstanding comprehensive guide to Synthetic Monitoring! This SRE/observability deep dive masterfully unpacks proactive endpoint testing via automated scripts across HTTP/HTTPS/APIs/TCP/UDP/ICMP protocols—simulating user/system behavior for availability (up/down status), performance (DNS/TCP/TLS/TTFB/response times), correctness (status codes/body validation/headers), and security (auth tokens/JWT/mTLS/TLS certs)—perfectly complementing Infra/Logs/APM/RUM stacks as the “early warning system” before user complaints hit. As a DevOps content creator specializing in observability/SLOs/APM tools, I love the global execution (15+ regions for geo-latency/CDN/ISP outage detection), types breakdown (lightweight API/HTTP vs browser JS flows for SPAs/login/checkout), hosting models (centralized platforms like Dynatrace), alerting (Slack/PagerDuty/root cause dashboards/uptime trends), and best practices (small focused scripts/multi-region/realistic auth/no alert storms)—ideal for API health/SSL expiry/pre-release/SLA verification in 2025’s distributed apps landscape.

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