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Observability & Monitoringby SoftwareCrafting

Full-stack visibility into production systems - logs, traces, metrics, and error tracking by SoftwareCrafting.

No sales calls. Written reply in under 4 working hours.

NDA-Protected
48hr Kick-off
7 Engineers
Founder-led Delivery
Observability & Monitoring Services

Delivery Time

1-3 weeks

Senior deliveryFounder-involved build team
From₹15,000

Service Overview

We instrument systems so that when something breaks you can find out what and why in minutes rather than by guessing. That means structured logs with consistent fields you can actually query, distributed traces that follow a request across every service it touches, metrics that reflect what users experience rather than what is easy to measure, and alerts tied to symptoms your customers would notice instead of every CPU spike. We build on OpenTelemetry so instrumentation is portable and you are not locked into one vendor, and we work with Grafana, Datadog, Sentry, Prometheus, and the major managed backends. The part teams usually skip is the operational layer: service level objectives with error budgets, dashboards designed for the questions asked during an incident rather than every metric available, runbooks attached to each alert, and an on call rotation that does not burn people out. Instrumentation without those is just more data.

Technologies we use

DatadogSentryGrafanaPrometheusLokiOpenTelemetry

Key Features

  • OpenTelemetry instrumentation for traces, metrics, and logs
  • Distributed tracing across services, queues, and databases
  • Structured logging with consistent, queryable fields
  • Service level objectives with error budgets and burn rate alerts
  • Dashboards designed around incident questions, not metric inventories
  • Alert rules tied to user visible symptoms
  • Runbooks linked from every alert with concrete first steps
  • Error tracking and release health with Sentry
  • Real user monitoring and Core Web Vitals from actual visitors
  • Uptime and synthetic checks on critical user journeys
  • Log retention and sampling policies that control cost
  • On call rotation, escalation policy, and paging setup
  • Incident response process and blameless postmortem templates
  • Cost review of your existing observability spend

Pricing Snapshot

₹15,000

Starting from ₹15,000 for observability stack setup

  • Model: project
  • Timeline: 1-3 weeks
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Step-by-step

Our Delivery Process

We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.

01

Current state review

Audit existing logging, metrics, alerting, and incident history to find where visibility actually breaks down.

3-5 days
02

SLO definition

Agree what reliability means for your users, then define service level objectives and error budgets against it.

3-5 days
03

Instrumentation

Add OpenTelemetry tracing, structured logging, and metrics across services with consistent conventions.

1-3 weeks
04

Dashboards and alerts

Build incident oriented dashboards and symptom based alerts, each linked to a runbook.

1 week
05

On call and process

Set up rotation, escalation, and the incident and postmortem process with your team.

3-5 days
06

Tuning and handover

Run through real incidents, tune alert thresholds and sampling, and hand over documentation.

1-2 weeks
Why Us

Why Choose SoftwareCrafting?

  • Root cause found in minutes instead of by guesswork
  • One trace showing a request across every service it touched
  • Alerts that mean something, so nobody learns to ignore them
  • Service level objectives that make reliability a shared, measurable target
  • Dashboards that answer the questions asked at three in the morning
  • Runbooks so the person on call does not need to be the expert
  • Real user performance data rather than lab measurements
  • Observability spend controlled through sampling and retention policy
  • Vendor portability through OpenTelemetry instead of lock in
  • An on call setup your team can sustain
FAQ

Frequently Asked Questions

We already have logs. Why is that not enough?

Logs tell you what happened in one service. They do not tell you that a checkout failure started with a slow query in a service three hops away. Distributed tracing connects a single user request across every service, queue, and database it touched, which turns a multi hour investigation into a few minutes of reading one trace.

Which observability platform should we use?

We instrument with OpenTelemetry first, which keeps the choice reversible. From there, Grafana Cloud suits teams wanting open standards and predictable pricing, Datadog suits teams wanting breadth in one product and willing to pay for it, and self hosted Prometheus and Grafana suits teams with the operational capacity. We size the cost against your actual data volume before recommending.

How do we stop observability costs running away?

Most overspend comes from ingesting everything at full fidelity forever. We use tail based sampling to keep the traces that matter such as errors and slow requests while sampling the routine ones, set retention by data type rather than uniformly, and drop high cardinality fields that nobody queries. These changes commonly cut spend substantially without losing diagnostic value.

What is an SLO and do we need one?

A service level objective is an explicit target such as ninety nine point nine percent of checkout requests completing under five hundred milliseconds. It matters because it converts reliability from an argument into a number, and the error budget it implies tells you when to ship features and when to stop and fix things. If your team argues about whether reliability is good enough, you need one.

How do we reduce alert fatigue?

Alert on symptoms your users would notice, not on causes. High CPU is not an incident if requests are still fast. Elevated checkout error rate is. We audit existing alerts, remove those that have never led to action, tie the rest to SLO burn rate, and attach a runbook to each so being paged comes with instructions.

Can you help during an actual incident?

Yes, and we build the capability so you need us less over time. During an engagement we participate in incidents, and the runbooks, dashboards, and postmortem process we leave behind are designed so your team handles the next one without escalating outside.
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