Menene na kayan sani gida da kuma yadda za a zaɓa a gidansu?

Question

Accepted Answer

Fillayi ya raba ta waje — ma'auni, logal, buhun — da kuma platformin gudun jiya gaba ɗaya. Zaɓin yana zuwa **kai-kai vs gudu**, da ke haifar da girman jama'a, kasafin kudin kudin, da sikeli.

## Kayan aiki ta waje

```text
METRICS    Prometheus  → pull-based scraping, time-series DB, PromQL query language
           Grafana     → dashboards on top of Prometheus (and many other sources)

LOGS       ELK         → Elasticsearch + Logstash + Kibana (powerful, heavy to run)
           Loki        → "Prometheus for logs": cheap, indexes labels not full text

TRACES     Jaeger      → distributed tracing, OpenTelemetry-compatible
           Tempo       → trace backend that pairs with Grafana/Loki

ALL-IN-ONE Datadog     → managed metrics + logs + traces + APM in one product
```

## Me ya sa Prometheus + Grafana shine menene abubuwan buɗewa na gida

Prometheus **cire** ma'auni daga jiya da shi ke harba (sabis din gwadi `/metrics`), ajiye su a jiya-jiya DB, da buɗewa tare da **PromQL**. Cire yana saba da jiya tare da duba lafiya. Grafana yana kwaturi a sama don ganin da gida. Loki da Tempo sun kara jiya gida zuwa logal da buhun, duka na iya buɗewa a jiya Grafana UI gida.

```promql
# PromQL: per-route error ratio over 5 minutes
sum by (route) (rate(http_requests_total{status=~"5.."}[5m]))
  / sum by (route) (rate(http_requests_total[5m]))
```

## Kai-kai da jiya tradeoff

```text
SELF-HOSTED (Prometheus/Grafana/Loki/Tempo)
  ✓ no per-host bill, full control, no data leaves your infra
  ✗ you run, scale, and patch it; storage & HA are your problem

MANAGED (Datadog, Grafana Cloud)
  ✓ no ops burden, integrations out of the box, scales for you
  ✗ costs grow fast with hosts/volume; some vendor lock-in
```

## Yadda a zaɓa

```text
Small team / tight budget   → self-hosted Prometheus + Grafana (+ Loki)
Fast-moving, ops-light team  → managed (Datadog / Grafana Cloud)
Large scale / strict cost    → self-host the core, but budget for the ops team
```

## Me ya sa yaka da mahimmanci

Ba jiya universally mafi kyau ba — sai kawai daidai gwaji don ƙunƙurarka. Jiya 5-jama'a startup na nutse kokarin aiki HA Elasticsearch kunawa; babbar kasua zata iya konsumon shida cikin shekara akan gudu platformin da zata iya kai-kai. Sanin menene kayan aiki kowane yana aiki da jiya kai-kai-vs-gudu tradeoff ke ba ka daidai da jiya sani jiya jiya jama'a, kasafin kudin kudin, da sikeli maimakon cargo-culting abin da yake jita.