SLA monitoring setup for web application

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.
Development and maintenance of all types of websites:
Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:
Development stages
Latest works
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1161
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    822
  • image_crm_chasseurs_493_0.webp
    CRM development for Chasseurs
    847
  • image_website-sbh_0.png
    Website development for SBH Partners
    999
  • image_website-_0.png
    Website development for Red Pear
    451

Setting Up SLA Monitoring for Web Application

SLA monitoring is measuring whether system fulfills commitments on availability and quality. Without instrumentation, SLA remains declaration of intent. With monitoring — it's measurable and verifiable agreement.

What We Measure in SLA

Availability. Percentage of time service works correctly. Formula: (total_time - downtime) / total_time * 100%. For 99.9% SLA, ~8.7 hours downtime per year acceptable. For 99.99% — 52 minutes.

Response Time. P95 and P99 response times matter more than average. Average hides tail of slow requests users complain about. Typical targets: P95 < 500ms, P99 < 2s for web app.

Error Rate. Percentage of 5xx responses. Target: < 0.1% for production.

Throughput. If throughput in SLA — RPS or transactions per unit time.

Metrics Collection Tools

Prometheus + Grafana — standard self-hosted stack. Prometheus scrapes metrics every 15-30 seconds. Grafana visualizes and calculates SLI/SLO.

Datadog / New Relic — managed solutions, quick start, built-in SLO dashboards.

Uptime Robot / Freshping — external availability monitoring (checks from worldwide points), supplements internal monitoring.

SLI/SLO Setup in Prometheus

# Availability SLO rule (target: 99.9%)
- record: job:availability:ratio_rate5m
  expr: |
    1 - (
      rate(http_requests_total{status=~"5.."}[5m])
      /
      rate(http_requests_total[5m])
    )

# Alert: SLO at risk (burn rate > 14.4x per 1 hour)
- alert: SLOBurnRateTooHigh
  expr: |
    job:availability:ratio_rate5m < 0.999
    and
    rate(http_requests_total{status=~"5.."}[1h]) > 0
  for: 2m
  labels:
    severity: critical
  annotations:
    summary: "SLO availability at risk"

Error Budget — key concept. For 99.9% SLO over 30 days, error budget = 0.1% = 43.2 minutes. Monitoring should show: how much error budget spent, burn rate.

External Availability Checks

Internal metrics may be green while users can't reach — e.g., DNS or CDN failure. External HTTP checks from multiple geographic points:

  • Pingdom, Uptime Robot, Checkly — 1-minute checks from 5-20 world points
  • Blackbox Exporter (Prometheus) — probe checks HTTP, TCP, ICMP from own infrastructure

Minimum check set: homepage, login page, API health endpoint, post-auth page (for DB verification).

SLA Reporting

Automatic monthly report for business:

  • Actual uptime vs target
  • Incident list with duration and cause
  • Error budget usage
  • Trend — improving or degrading

Grafana allows PDF report generation on schedule. For enterprise — Datadog SLO Reports or Statuspage.

Setup Timeline

  • Prometheus + Grafana + basic SLI — 2-3 days
  • SLO rules + error budget dashboard — 1-2 days
  • External checks + alerts — 1 day
  • Report configuration — 1-2 days