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// Scale

Application Performance Monitoring

You cannot improve what you cannot measure. Application Performance Monitoring gives you a real-time picture of your application health, latency percentiles, error rates, and user experience metrics, before users start complaining.

// Key benefits

What makes this service valuable

Distributed tracing

OpenTelemetry-based distributed tracing across your entire service architecture, understanding exactly where time is spent in multi-service request flows.

Real-user monitoring

RUM captures actual user performance data, page load times, Core Web Vitals, and geographic distribution, as opposed to synthetic lab measurements.

Custom metrics and dashboards

Business-level metrics (checkout completion rate, API error rate by endpoint) alongside infrastructure metrics in a unified monitoring dashboard.

// Details

Visibility into every layer of your stack

APM is the diagnostic tool that surfaces production issues before users notice them. We configure APM with appropriate instrumentation depth, not everything needs tracing, but business-critical paths should always be observable.

We set up APM alongside alert rules that notify on meaningful degradation, not every noisy metric, but the specific conditions that indicate a user-impacting problem.

// What this includes

  • Datadog / New Relic / Sentry APM setup
  • OpenTelemetry instrumentation
  • Distributed trace configuration
  • Real-user monitoring (RUM)
  • Custom business metrics
  • Alert rules and threshold configuration
  • Dashboard creation

// Deliverables

What you receive

Every engagement produces clear, documented deliverables. Here is exactly what is included in our application performance monitoring service.

  • 01APM tool setup and configuration
  • 02Instrumentation for all critical services
  • 03Distributed trace configuration
  • 04Alert rules and escalation
  • 05Monitoring dashboard
  • 06Alert tuning documentation

// In practice

How application performance monitoring engagements run

APM rollouts start with OpenTelemetry auto-instrumentation on Node, Java, or .NET services, exporting traces to Datadog, Grafana Tempo, or New Relic. SLOs on p95 latency and error rate drive alert thresholds — not static CPU alerts. Service maps reveal N+1 queries and cross-service bottlenecks before users report slowness.

// Stack & frameworks

Stack we use for this

Cloud

  • AWS / GCP
  • Auto-scaling
  • Reserved instances
  • Cost dashboards

DevOps

  • GitHub Actions
  • Terraform IaC
  • Docker
  • Blue-green deploys

Observability

  • Datadog / Grafana
  • Error tracking
  • Uptime monitors
  • Executive reporting

// Delivery

Simplileap execution framework

01

Architecture mapping

Dependencies, API contracts, compliance constraints, and performance budgets documented before sprint one.

02

Secure sprints

Two-week increments with GitHub access, demo recordings, and QA checkpoints, client visibility at every stage.

03

QA & handover

Automated tests on critical paths, security review, runbooks, and knowledge transfer to your team.

// Proof

Real deployments from Bangalore

Series B HR SaaS

Challenge
No distributed tracing; 4-hour MTTR on hiring API.
Simplileap solution
OpenTelemetry, Grafana SLOs, and error-budget alerts.
Outcome
MTTR 4h → 22 minutes.
Read full case study ›

Edtech platform

Challenge
GA4, Mixpanel, and warehouse reported conflicting activation metrics.
Simplileap solution
Event dictionary, RudderStack taxonomy, dbt models in Snowflake.
Outcome
Single KPI definition in QBR; experiment analysis 40% faster.
Read full case study ›

// Engagement models

How teams engage us

Currency
PackageIdeal forInvestmentIncludes
Managed services AMCPost-launch platforms₹25K – ₹1.5L / month
  • · Monitoring
  • · Updates
  • · Incident response
  • · Same engineers who built it
DevOps transformationEngineering teamsProject + retainer
  • · CI/CD setup
  • · IaC
  • · Cost optimisation
  • · Knowledge transfer
SLO-backed operationsRevenue-critical appsScoped within AMC range
  • · 24/7 on-call
  • · Incident runbooks
  • · Performance reviews
  • · Executive reporting

// Company and service positioning

Company and Service positioning is reviewed for production delivery standards by Harsha Parthasarathy (Co-Founder, Strategy & Operations 24+ years IT veteran, IBM, Global Delivery, Program Management) and Keshav Sharma (Co-Founder, Engineering and Lead Architect, Full-stack engineering, product delivery and technical standards).

// Verified entity

Simplileap Digital LLP

// Recognition

Featured in QuickNode Feature Fridays

CIN

AAU-8582

Startup India

DIPP83124

Founded

November 2020

Office

Residency Rd, Bengaluru, India

// FAQ

Common questions about application performance monitoring

Which APM tool do you recommend?+

Datadog for large teams with complex multi-service architectures and budget for enterprise tooling. Sentry for cost-effective error tracking and basic performance monitoring for smaller teams. New Relic for teams that want deep application insights without Datadog pricing.

Ready to get started with application performance monitoring?

Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.