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docs: add demo GIF, switch to llama3.2:1b for faster inference #14

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Merged
yahiaongh merged 1 commit into from
Jul 25, 2026
Merged

docs: add demo GIF, switch to llama3.2:1b for faster inference #14

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -6,6 +6,8 @@

SentinelOps ingests real-time logs from distributed microservices, detects anomalies using statistical models (z-score + EWMA), and will expose a natural-language incident-query interface (LLM/RAG) for fast triage. Built as a polyglot system (Go, Rust, Python) to demonstrate production patterns across the stack: event-driven ingestion, self-migrating services, batched writes, full observability, and a real CI/CD pipeline with branch protection.

![SentinelOps demo](docs/media/demo.gif)

## What's actually running today

```mermaid
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6 changes: 3 additions & 3 deletions infra/docker-compose.yml
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Expand Up @@ -134,10 +134,10 @@ services:
environment:
DATABASE_URL: postgres://sentinelops:${TIMESCALE_PASSWORD:-devpassword}@timescaledb:5432/sentinelops
OLLAMA_BASE_URL: http://host.docker.internal:11434
OLLAMA_MODEL: llama3.2:3b
OLLAMA_MODEL: llama3.2:1b
OLLAMA_KEEP_ALIVE: 10m
OLLAMA_NUM_PREDICT: "300"
OLLAMA_TIMEOUT_SECONDS: "180"
OLLAMA_NUM_PREDICT: "120"
OLLAMA_TIMEOUT_SECONDS: "240"
extra_hosts:
- "host.docker.internal:host-gateway"
ports:
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2 changes: 1 addition & 1 deletion services/llm-query-python/Dockerfile
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Expand Up @@ -9,7 +9,7 @@ COPY app/ ./app/

ENV DATABASE_URL=postgresql://sentinelops:devpassword@timescaledb:5432/sentinelops \
OLLAMA_BASE_URL=http://host.docker.internal:11434 \
OLLAMA_MODEL=llama3.2:3b \
OLLAMA_MODEL=llama3.2:1b \
METRICS_PORT=9300

EXPOSE 9300
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6 changes: 3 additions & 3 deletions services/llm-query-python/app/config.py
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Expand Up @@ -8,10 +8,10 @@ class Settings(BaseSettings):
"postgresql://sentinelops:devpassword@localhost:5432/sentinelops"
)
ollama_base_url: str = "http://host.docker.internal:11434"
ollama_model: str = "llama3.2:3b"
ollama_model: str = "llama3.2:1b"
ollama_keep_alive: str = "10m"
ollama_num_predict: int = 300
ollama_timeout_seconds: float = 180.0
ollama_num_predict: int = 120
ollama_timeout_seconds: float = 240.0
default_lookback_hours: int = 6
metrics_port: int = 9300

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