Observability & SRE

Build end-to-end visibility and reliability into your platforms and applications — with measurable SLOs, actionable telemetry, and an operational model that reduces incidents.

What this service is

Observability is more than dashboards. It’s the ability to understand the health of systems, detect issues early, and reduce mean time to recovery (MTTR) through high-quality telemetry: logs, metrics, and traces.

Site Reliability Engineering (SRE) brings a disciplined approach to reliability: defining service levels, managing risk, improving incident response, and continuously strengthening platform resilience without slowing delivery.

When to invest in Observability & SRE

How we deliver

A structured approach to build reliable services with measurable outcomes — aligned to enterprise operations and platform engineering.

01

Baseline & Current-State Assessment

Review existing monitoring, logging, alerting, and incident patterns. Identify telemetry gaps, noisy alerts, and operational bottlenecks.

02

Define Service Level Objectives (SLOs)

Establish measurable reliability targets aligned to business needs (availability, latency, error rate) and define error budgets.

03

Implement Observability Standards

Standardize logs, metrics, and traces across services. Ensure instrumentation supports deep troubleshooting and trend analysis.

04

Design Actionable Alerting

Reduce noise with signal-driven alerts and meaningful thresholds. Align alerts to SLOs and operational response expectations.

05

Operationalize Incident Response

Establish incident playbooks, escalation workflows, post-incident reviews, and root cause practices that lead to real prevention.

06

Reliability Improvements & Continuous Optimization

Implement reliability backlogs: performance tuning, resilience patterns, automation, and continuous reporting against SLOs.

What we measure (telemetry model)

We design observability around actionable telemetry — ensuring every service can be understood and supported confidently in production.

Signal Purpose Examples
Metrics Trend + performance visibility Latency, CPU, memory, queue depth, error rate
Logs Context for events and failures App logs, audit logs, security events, platform logs
Traces Root cause across distributed systems API dependency tracing, bottleneck analysis, service map

Tools & platforms

What you get (deliverables)

Deliverable Description
Observability Architecture Telemetry standards and platform design for logs/metrics/traces
Dashboards & Alerts Actionable dashboards and signal-driven alerting strategy
SLO Framework SLOs, SLIs, and error budgets mapped to services
Incident Playbooks Runbooks, escalation flows, and post-incident review templates
Reliability Improvement Backlog Prioritized improvements based on telemetry and production risk

Ready to define your cloud strategy?

Talk to us about your goals, constraints, and timelines. We’ll help you define a strategy that your teams can actually deliver.

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