From b526bde98eed28fa0f516f48e7c585217792e5ab Mon Sep 17 00:00:00 2001 From: buenosairesam Date: Wed, 31 Dec 2025 12:45:28 -0300 Subject: [PATCH] added docs --- .../images/01-architecture-overview.svg | 106 +++ docs/explainer/images/02-grpc-streaming.svg | 83 +++ docs/explainer/images/03-storage-tiers.svg | 83 +++ docs/explainer/images/04-event-driven.svg | 84 +++ docs/explainer/images/05-domain-mapping.svg | 80 +++ .../images/06-deskmeter-enhancement.svg | 125 ++++ docs/explainer/other-applications.md | 4 + .../sysmonstm-from-start-to-finish.md | 8 + docs/explainer/viewer.html | 425 ++++++++++++ docs/index.html | 651 ++++++++++-------- docs/static/prism/prism-bash.min.js | 1 + docs/static/prism/prism-gherkin.min.js | 1 + docs/static/prism/prism-json.min.js | 1 + docs/static/prism/prism-line-numbers.min.css | 1 + docs/static/prism/prism-line-numbers.min.js | 1 + docs/static/prism/prism-protobuf.min.js | 1 + docs/static/prism/prism-python.min.js | 1 + docs/static/prism/prism-tomorrow.min.css | 1 + docs/static/prism/prism.min.js | 1 + 19 files changed, 1382 insertions(+), 276 deletions(-) create mode 100644 docs/explainer/images/01-architecture-overview.svg create mode 100644 docs/explainer/images/02-grpc-streaming.svg create mode 100644 docs/explainer/images/03-storage-tiers.svg create mode 100644 docs/explainer/images/04-event-driven.svg create mode 100644 docs/explainer/images/05-domain-mapping.svg create mode 100644 docs/explainer/images/06-deskmeter-enhancement.svg create mode 100644 docs/explainer/viewer.html create mode 100644 docs/static/prism/prism-bash.min.js create mode 100644 docs/static/prism/prism-gherkin.min.js create mode 100644 docs/static/prism/prism-json.min.js create mode 100644 docs/static/prism/prism-line-numbers.min.css create mode 100644 docs/static/prism/prism-line-numbers.min.js create mode 100644 docs/static/prism/prism-protobuf.min.js create mode 100644 docs/static/prism/prism-python.min.js create mode 100644 docs/static/prism/prism-tomorrow.min.css create mode 100644 docs/static/prism/prism.min.js diff --git a/docs/explainer/images/01-architecture-overview.svg b/docs/explainer/images/01-architecture-overview.svg new file mode 100644 index 0000000..a8bb34f --- /dev/null +++ b/docs/explainer/images/01-architecture-overview.svg @@ -0,0 +1,106 @@ + + + + + + + + + + + + + + + + + + + System Architecture Overview + + + + + Machine 1 + Collector + + + + + Machine 2 + Collector + + + + + Machine N + Collector + + + + + + Aggregator + gRPC Server + Batch Processing + + + + + + Redis + Hot Data + + + + + TimescaleDB + Historical + + + + + + Gateway + FastAPI + WebSocket + + + + + + Browser + Dashboard + + + + + + Alerts + Threshold Rules + + + + + + + + + + + + + + + + + + + + + + gRPC Stream + Events + WS + Pub/Sub + diff --git a/docs/explainer/images/02-grpc-streaming.svg b/docs/explainer/images/02-grpc-streaming.svg new file mode 100644 index 0000000..5361755 --- /dev/null +++ b/docs/explainer/images/02-grpc-streaming.svg @@ -0,0 +1,83 @@ + + + + + + + + + + + + gRPC Client-Side Streaming + + + + + Collector + + + + + CPU: 45% + + + + Memory: 62% + + + + Disk: 78% + + + + + + + + + + + + M1 + + + + M2 + + + + M3 + + + Continuous stream of metrics + + + + + + Aggregator + + + + + Batch: 20 metrics + Flush to storage + + + + + + Redis + + + + Timescale + + + + + + One persistent connection. Metrics flow continuously. No polling overhead. + + diff --git a/docs/explainer/images/03-storage-tiers.svg b/docs/explainer/images/03-storage-tiers.svg new file mode 100644 index 0000000..8863c59 --- /dev/null +++ b/docs/explainer/images/03-storage-tiers.svg @@ -0,0 +1,83 @@ + + + + + + + + + + + + + + + + + + + + + Tiered Storage Architecture + + + + + + HOT + Redis + 5 second resolution + 5 minute retention + + + + + + + WARM + TimescaleDB + 5 second resolution + 24 hour retention + + + + + + + COLD + Aggregates + 1 min / 1 hour resolution + 7 / 90 day retention + + + + + + Dashboard + "What's the CPU now?" + Fast in-memory reads + + + + + Recent Graphs + "Last hour of metrics" + Hypertable queries + + + + + Trends / Reports + "Weekly CPU average" + Pre-aggregated data + + + + + + + Fastest + Access Time + Slowest + + diff --git a/docs/explainer/images/04-event-driven.svg b/docs/explainer/images/04-event-driven.svg new file mode 100644 index 0000000..ea1a4ef --- /dev/null +++ b/docs/explainer/images/04-event-driven.svg @@ -0,0 +1,84 @@ + + + + + + + + + + + + + + + + + + Event-Driven Architecture + + + + + Aggregator + Publisher + + + + + + Event Stream + Redis Pub/Sub + + + + + metrics.raw + + + + alerts.* + + + + + + + Gateway + WebSocket push + + + + + Alerts + Threshold check + + + + + + + + + + + Benefits: + + + + Decoupled services - can restart independently + + + + Easy to add new subscribers without changing publisher + + + + Abstraction allows switching backends (Kafka) + + + + Natural audit trail of all events + + + diff --git a/docs/explainer/images/05-domain-mapping.svg b/docs/explainer/images/05-domain-mapping.svg new file mode 100644 index 0000000..b0c5759 --- /dev/null +++ b/docs/explainer/images/05-domain-mapping.svg @@ -0,0 +1,80 @@ + + + + + + + + + + + + Domain Mapping: Monitoring to Payments + + + + + System Monitoring + + + + + + Payment Processing + + + + + + Machine + workstation, laptop, server + + + + + Payment Processor + Stripe, PayPal, bank API + + + + + + Metrics Stream + CPU, memory, disk usage + + + + + Transaction Stream + payments, refunds, disputes + + + + + + Alert Thresholds + CPU > 80%, disk > 90% + + + + + Fraud Detection + amount > $10k, velocity checks + + + + + + Aggregator + normalize, store, publish + + + + + Payment Hub + normalize, ledger, audit + + + + Same architecture, different domain vocabulary + diff --git a/docs/explainer/images/06-deskmeter-enhancement.svg b/docs/explainer/images/06-deskmeter-enhancement.svg new file mode 100644 index 0000000..40bc3d7 --- /dev/null +++ b/docs/explainer/images/06-deskmeter-enhancement.svg @@ -0,0 +1,125 @@ + + + + + + + + + + + + + + + Deskmeter: Current vs Enhanced Architecture + + + + CURRENT + + + + + dmcore + polls wmctrl + + + + + + MongoDB + all data + + + + + + Flask + AJAX polling + + + + + + + + + + + enhance + + + + + ENHANCED + + + + + Machine 1 + + + + Machine 2 + + + + + + Events + Pub/Sub + + + + + + Gateway + WebSocket + real-time + + + + + + Focus Alerts + thresholds + + + + + + + + + + + + + What sysmonstm Patterns Add to Deskmeter + + + + Real-time updates + WebSocket push instead of AJAX polling every 5 seconds + + + + + Multi-machine tracking + Monitor workstation + laptop productivity in one dashboard + + + + + Focus alerts + Notify when context-switching too often or idle too long + + + + + Event-driven architecture + Decoupled services, easy to add new subscribers + + + diff --git a/docs/explainer/other-applications.md b/docs/explainer/other-applications.md index 9c8ad38..c2f778d 100644 --- a/docs/explainer/other-applications.md +++ b/docs/explainer/other-applications.md @@ -2,6 +2,8 @@ The architecture behind sysmonstm isn't specific to system monitoring. The patterns - streaming data collection, event-driven processing, tiered storage, real-time dashboards - apply to many domains. This article explores two: payment processing systems and desktop productivity tracking. +![Domain Mapping Overview](images/05-domain-mapping.svg) + ## Payment Processing Systems The sysmonstm architecture was intentionally designed to map to payment processing. Here's how each component translates. @@ -117,6 +119,8 @@ Current architecture: This works, but sysmonstm patterns could enhance it significantly. +![Deskmeter Enhancement](images/06-deskmeter-enhancement.svg) + ### Current Deskmeter Implementation The core daemon (`dmapp/dmcore/main.py`) polls in a loop: diff --git a/docs/explainer/sysmonstm-from-start-to-finish.md b/docs/explainer/sysmonstm-from-start-to-finish.md index 340a138..9f08b9c 100644 --- a/docs/explainer/sysmonstm-from-start-to-finish.md +++ b/docs/explainer/sysmonstm-from-start-to-finish.md @@ -2,6 +2,8 @@ This is the story of building a distributed system monitoring platform. Not a tutorial with sanitized examples, but an explanation of the actual decisions made, the trade-offs considered, and the code that resulted. +![System Architecture Overview](images/01-architecture-overview.svg) + ## The Problem I have multiple development machines. A workstation, a laptop, sometimes a remote VM. Each one occasionally runs out of disk space, hits memory limits, or has a runaway process eating CPU. The pattern was always the same: something breaks, I SSH in, run `htop`, realize the problem, fix it. @@ -29,6 +31,8 @@ service MetricsService { The collector is the client. It streams metrics. The aggregator is the server. It receives them. When the stream ends (collector shuts down, network drops), the aggregator gets a `StreamAck` response. +![gRPC Streaming Pattern](images/02-grpc-streaming.svg) + ### Why This Storage Tier Approach Metrics have different access patterns at different ages: @@ -45,6 +49,8 @@ Storing everything in one place forces a choice between fast reads (keep it all The aggregator writes to both on every batch. Redis for live dashboard. TimescaleDB for history. +![Storage Tiers](images/03-storage-tiers.svg) + ### Why Event-Driven for Alerts The alerts service needs to evaluate every metric against threshold rules. Two options: @@ -70,6 +76,8 @@ class EventSubscriber(ABC): Currently backed by Redis Pub/Sub (`shared/events/redis_pubsub.py`). The abstraction means switching to Kafka or RabbitMQ later requires implementing a new backend, not changing any service code. +![Event-Driven Architecture](images/04-event-driven.svg) + ## Phase 1: MVP - Getting Streaming to Work The goal was simple: run a collector, see metrics appear in the aggregator's logs. diff --git a/docs/explainer/viewer.html b/docs/explainer/viewer.html new file mode 100644 index 0000000..89d0f52 --- /dev/null +++ b/docs/explainer/viewer.html @@ -0,0 +1,425 @@ + + + + + + Loading... - System Monitor Docs + + + + + + +
+

System Monitoring Platform

+

Documentation

+
+ +
+ ← Back to Index + + + +
+
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+
+ + + + + + + + + + + + + + + + + diff --git a/docs/index.html b/docs/index.html index 5d0fe06..fb9651e 100644 --- a/docs/index.html +++ b/docs/index.html @@ -1,294 +1,393 @@ - + - - - - System Monitor - Documentation - - - - -
-

System Monitoring Platform

-

Documentation

-
+ .section-divider { + border: none; + border-top: 1px solid var(--border); + margin: 2rem 0; + } + + + +
+

System Monitoring Platform

+

Documentation

+
-
- -
-

Explainer Articles

-
- -

sysmonstm: From Start to Finish

-

The complete story of building this monitoring platform. Architecture decisions, trade-offs, and code walkthrough from MVP to production patterns.

- Article +
+ +
+

Explainer Articles

+
+ +

sysmonstm: From Start to Finish

+

+ The complete story of building this monitoring + platform. Architecture decisions, trade-offs, and + code walkthrough from MVP to production patterns. +

+ Article + + +

Same Patterns, Different Domains

+

+ How the same architecture applies to payment + processing systems and the Deskmeter workspace + timer. Domain mapping and implementation paths. +

+ Article + +
+
+ +
+ + +
+
+

System Overview

+ View Full +
+ + System Overview - -

Same Patterns, Different Domains

-

How the same architecture applies to payment processing systems and the Deskmeter workspace timer. Domain mapping and implementation paths.

- Article +
+

+ High-level architecture showing all services, data + stores, and communication patterns. +

+

Key Components

+
    +
  • + Collector: Runs on each monitored + machine, streams metrics via gRPC +
    • +
  • + Aggregator: Central gRPC server, + receives streams, normalizes data +
    • +
  • + Gateway: FastAPI service, WebSocket + for browser, REST for queries +
    • +
  • + Alerts: Subscribes to events, + evaluates thresholds, triggers actions +
    • +
+
+
+ +
+
+

Data Flow Pipeline

+ View Full +
+ + Data Flow -
-
+
+

+ How metrics flow from collection through storage with + different retention tiers. +

+

Storage Tiers

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TierResolutionRetentionUse Case
Hot (Redis)5s5 minCurrent state, live dashboard
Raw (TimescaleDB)5s24hRecent detailed analysis
1-min Aggregates1m7dWeek view, trends
1-hour Aggregates1h90dLong-term analysis
+
+ -
- - -
-
-

System Overview

- View Full -
- - System Overview - -
-

High-level architecture showing all services, data stores, and communication patterns.

-

Key Components

-
    -
  • Collector: Runs on each monitored machine, streams metrics via gRPC
    • -
  • Aggregator: Central gRPC server, receives streams, normalizes data
    • -
  • Gateway: FastAPI service, WebSocket for browser, REST for queries
    • -
  • Alerts: Subscribes to events, evaluates thresholds, triggers actions
    • -
-
-
- -
-
-

Data Flow Pipeline

- View Full -
- - Data Flow - -
-

How metrics flow from collection through storage with different retention tiers.

-

Storage Tiers

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
TierResolutionRetentionUse Case
Hot (Redis)5s5 minCurrent state, live dashboard
Raw (TimescaleDB)5s24hRecent detailed analysis
1-min Aggregates1m7dWeek view, trends
1-hour Aggregates1h90dLong-term analysis
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-
- -
-
-

Deployment Architecture

- View Full -
- - Deployment - -
-

Deployment options from local development to AWS production.

-

Environments

-
    -
  • Local Dev: Kind + Tilt for K8s, or Docker Compose
    • -
  • Demo (EC2): Docker Compose on t2.small at sysmonstm.mcrn.ar
    • -
  • Lambda Pipeline: SQS-triggered aggregation for data processing experience
    • -
-
-
- -
-
-

gRPC Service Definitions

- View Full -
- - gRPC Services - -
-

Protocol Buffer service and message definitions.

-

Services

-
    -
  • MetricsService: Client-side streaming for metrics ingestion
    • -
  • ControlService: Bidirectional streaming for collector control
    • -
  • ConfigService: Server-side streaming for config updates
    • -
-
-
- -
- -
-

Interview Talking Points

-
-
-

Domain Mapping

+
+
+

Deployment Architecture

+ View Full +
+ + Deployment + +
+

+ Deployment options from local development to AWS + production. +

+

Environments

    -
  • Machine = Payment Processor
    • -
  • Metrics Stream = Transaction Stream
    • -
  • Thresholds = Fraud Detection
    • -
  • Aggregator = Payment Hub
    • -
-
-
-

gRPC Patterns

-
    -
  • Client streaming (metrics)
    • -
  • Server streaming (config)
    • -
  • Bidirectional (control)
    • -
  • Health checking
    • -
-
-
-

Event-Driven

-
    -
  • Redis Pub/Sub (current)
    • -
  • Abstraction for Kafka switch
    • -
  • Decoupled alert processing
    • -
  • Real-time WebSocket push
    • -
-
-
-

Resilience

-
    -
  • Collectors are independent
    • -
  • Graceful degradation
    • -
  • Retry with backoff
    • -
  • Health checks everywhere
    • -
-
-
-
- -
-

Technology Stack

-
-
-

Core

-
    -
  • Python 3.11+
    • -
  • FastAPI
    • -
  • gRPC / protobuf
    • -
  • asyncio
    • +
  • + Local Dev: Kind + Tilt for K8s, or + Docker Compose +
    • +
  • + Demo (EC2): Docker Compose on + t2.small at sysmonstm.mcrn.ar +
    • +
  • + Lambda Pipeline: SQS-triggered + aggregation for data processing experience +
-
-

Data

-
    -
  • TimescaleDB
    • -
  • Redis
    • -
  • Redis Pub/Sub
    • -
-
-
-

Infrastructure

-
    -
  • Docker
    • -
  • Kubernetes
    • -
  • Kind + Tilt
    • -
  • Terraform
    • -
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CI/CD

-
    -
  • Woodpecker CI
    • -
  • Kustomize
    • -
  • Container Registry
    • -
-
-
-
-
+ - - +
+
+

gRPC Service Definitions

+ View Full +
+ + gRPC Services + +
+

Protocol Buffer service and message definitions.

+

Services

+
    +
  • + MetricsService: Client-side + streaming for metrics ingestion +
    • +
  • + ControlService: Bidirectional + streaming for collector control +
    • +
  • + ConfigService: Server-side + streaming for config updates +
    • +
+
+
+ +
+ +
+

Interview Talking Points

+
+
+

Domain Mapping

+
    +
  • Machine = Payment Processor
    • +
  • Metrics Stream = Transaction Stream
    • +
  • Thresholds = Fraud Detection
    • +
  • Aggregator = Payment Hub
    • +
+
+
+

gRPC Patterns

+
    +
  • Client streaming (metrics)
    • +
  • Server streaming (config)
    • +
  • Bidirectional (control)
    • +
  • Health checking
    • +
+
+
+

Event-Driven

+
    +
  • Redis Pub/Sub (current)
    • +
  • Abstraction for Kafka switch
    • +
  • Decoupled alert processing
    • +
  • Real-time WebSocket push
    • +
+
+
+

Resilience

+
    +
  • Collectors are independent
    • +
  • Graceful degradation
    • +
  • Retry with backoff
    • +
  • Health checks everywhere
    • +
+
+
+
+ +
+

Technology Stack

+
+
+

Core

+
    +
  • Python 3.11+
    • +
  • FastAPI
    • +
  • gRPC / protobuf
    • +
  • asyncio
    • +
+
+
+

Data

+
    +
  • TimescaleDB
    • +
  • Redis
    • +
  • Redis Pub/Sub
    • +
+
+
+

Infrastructure

+
    +
  • Docker
    • +
  • Kubernetes
    • +
  • Kind + Tilt
    • +
  • Terraform
    • +
+
+
+

CI/CD

+
    +
  • Woodpecker CI
    • +
  • Kustomize
    • +
  • Container Registry
    • +
+
+
+
+ + + + diff --git a/docs/static/prism/prism-bash.min.js b/docs/static/prism/prism-bash.min.js new file mode 100644 index 0000000..f1659f1 --- /dev/null +++ b/docs/static/prism/prism-bash.min.js @@ -0,0 +1 @@ +!function(e){var 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