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WebDirect
SRE & Observability

SRE & Observability — See Everything, Fix It Before Users Notice

You can't fix what you can't see. WebDirect implements full-stack observability — metrics, logs, and distributed traces — using Prometheus, Grafana, ELK Stack, and OpenTelemetry. We define SLOs, build incident runbooks, and configure intelligent alerting that surfaces real problems, not alert noise, so your on-call engineers sleep more and fix things faster.

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What is Site Reliability Engineering?

Site Reliability Engineering (SRE) is a discipline originated at Google that applies software engineering principles to infrastructure and operations. SRE defines Service Level Objectives (SLOs) — quantitative targets for reliability — and manages 'error budgets' that govern when to ship features vs. invest in reliability. Observability is SRE's foundation: the ability to understand a system's internal state from its external outputs (metrics, logs, and traces). Organizations with mature SRE practices experience 40–60% fewer production incidents, 80% faster incident resolution, and dramatically lower on-call engineer burnout.

Why Your Business Needs Observability

Mean Time to Detect: Minutes, Not Hours

Without observability, teams discover outages when customers complain — often 30+ minutes after the problem started. Properly configured Prometheus alerting detects anomalies within 30–60 seconds.

Root Cause in Minutes, Not Days

Distributed systems fail in complex ways. Distributed tracing (OpenTelemetry + Jaeger) shows exactly which microservice calls are slow or failing, reducing MTTR from hours to minutes.

Eliminate Alert Fatigue

30+ daily alerts desensitize on-call engineers to real incidents. We configure symptom-based alerting (SLO burn rate alerts rather than per-component threshold alerts) that fires 2–5 meaningful alerts per week.

Error Budgets Enable Data-Driven Decisions

SLO + error budget management makes reliability vs. feature velocity tradeoffs explicit and data-driven — product and engineering stakeholders share the same KPIs for system health.

Centralized Logs for Security & Debugging

A centralized logging platform (ELK or Loki) aggregates all server and application logs in one searchable system — reducing debugging time from hours to minutes and providing security monitoring out of the box.

Compliance & Audit Trail

Centralized log retention satisfying GDPR, NIS2, and financial regulations (6–12 month retention) with immutable log storage that prevents tampering — required for regulated industries.

Our Observability Implementation Process

01

Current State Assessment

Inventory existing monitoring, identify blind spots, catalog SLAs/SLOs if defined, and assess alerting effectiveness. Deliverable: observability gap report.

02

Metrics Platform

Prometheus deployment with node_exporter, custom application metrics via client libraries, Grafana dashboards (per-service and overview), and recording rules for query performance.

03

Centralized Logging

Loki (simpler, cost-effective) or ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation, structured logging standards implementation, log-based alerting rules, and 90–365 day retention configuration.

04

Distributed Tracing

OpenTelemetry instrumentation of services, Jaeger or Tempo for trace storage and visualization, trace-to-log correlation for seamless incident investigation.

05

SLO Definition & Alerting

Define SLIs (measurable signals) and SLOs (targets) with business stakeholders, implement SLO burn rate alerting (correctly calibrated to fire rarely but urgently), and error budget dashboards.

06

Runbooks & On-Call Setup

Runbooks for every alert (what it means, how to investigate, how to resolve), PagerDuty/Alertmanager on-call rotation configuration, and incident war room process documentation.

Technologies We Use

PrometheusGrafanaELK Stack (Elasticsearch, Logstash, Kibana)LokiOpenTelemetryJaeger / TempoPagerDutyAlertmanager

SRE & Observability FAQ

What is the difference between monitoring and observability?
Monitoring checks predefined conditions (is CPU above 90%?). Observability lets you ask arbitrary questions about your system's state — 'why did this specific user's request fail at 14:32?' — without needing to have anticipated the question in advance. Monitoring is a subset of observability. You need both: monitoring for known failure modes, observability for investigating unknown or novel failures.
What are SLOs, SLIs, and SLAs?
SLI (Service Level Indicator) is a measurable metric — like HTTP error rate or p99 latency. SLO (Service Level Objective) is your internal reliability target — '99.9% of requests succeed, p99 latency under 200ms'. SLA (Service Level Agreement) is a contractual commitment with customers, usually with financial penalties for violation. SLOs should be stricter than SLAs to give you headroom. Error budget = 1 - SLO (e.g., 0.1% = 43 minutes/month of allowed failure).
How long does it take to set up a monitoring stack?
A Prometheus + Grafana basic monitoring setup takes 3–5 business days. Adding centralized logging (Loki/ELK) takes another 2–5 days. Full observability implementation including distributed tracing, SLO definition, and runbooks takes 2–4 weeks depending on the number of services.
Prometheus/Grafana vs. Datadog vs. New Relic — which should I choose?
Prometheus + Grafana is open-source, free beyond hosting costs, and infinitely customizable — ideal for teams with DevOps expertise. Datadog and New Relic are SaaS platforms with excellent UX and integrations but cost $20–50+/host/month scaling significantly. For production environments of 20+ services, Datadog costs typically exceed €5,000/month. We recommend Prometheus + Grafana for cost efficiency, with Datadog for teams that prioritize low operational overhead over cost.
Do you provide 24/7 on-call support?
Yes, as part of our DevOps as a Service or server administration retainer packages. We set up the observability stack, define alerting runbooks, and can take the on-call rotation ourselves — responding to alerts, triaging incidents, and resolving or escalating as appropriate. Enterprise plans include dedicated on-call engineers with 15-minute response SLA.
Can you set up monitoring for legacy applications?
Yes. Legacy applications without native metrics support can be monitored via: process-level metrics (node_exporter or process_exporter), log-based metrics derived from application log patterns (Prometheus pushgateway), external synthetic monitoring (blackbox_exporter for URL checks), and database performance metrics via dedicated exporters. We've successfully instrumented 20+ year-old applications with zero code changes required.

Why WebDirect

AWS & GCP Certified Architects
Our engineers hold professional certifications from AWS and GCP, backed by hands-on experience designing infrastructure for 100+ production deployments.
OSCP-Certified Security Team
Our OSCP-certified penetration tester thinks like a real attacker — identifying vulnerabilities before criminals do, with manual testing beyond automated scans.
Moldova IT Park — 7% Tax Advantage
As a Moldova IT Park resident, we operate under a 7% flat tax regime — one of the lowest in Europe — delivering enterprise-grade engineering at competitive rates.
EU Timezone & Trilingual Team
We work in UTC+2/UTC+3 and communicate in Romanian, Russian, and English — understating the unique needs of businesses across Moldova, Romania, and the EU.

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