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.
// Scale
Error Tracking & Logging
Errors in production are inevitable. Errors that go undetected for days are preventable. We implement error tracking and structured logging that surfaces issues immediately, with full context for fast diagnosis.
// Key benefits
What makes this service valuable
Sentry error tracking
Full error capture with stack traces, user context, request data, and breadcrumbs, everything needed to reproduce and fix an error without user support tickets.
Structured logging
JSON-structured logs with consistent fields (trace ID, user ID, request ID) that are aggregable, searchable, and useful for debugging, not free-text logs that require grep.
Log aggregation
CloudWatch Logs, Datadog Logs, or ELK stack, centralised log aggregation with retention policies, search capability, and anomaly detection.
// Details
Know about errors before your users do
Error tracking configured correctly alerts you to new errors the moment they occur, not when users start tweeting. We set up error tracking with appropriate grouping, alert thresholds, and team assignment.
Structured logging is the foundation of good debugging. We implement consistent log format, appropriate log levels, and correlation IDs that make it possible to trace a request through your entire system.
// What this includes
- Sentry setup and SDK integration
- Error alert configuration
- Structured logging implementation
- Log aggregation setup
- Trace ID correlation across services
- Log retention and archival policy
- Error triage and assignment workflow
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our error tracking & logging service.
- 01Sentry project setup and SDK integration
- 02Error alert rules and escalation
- 03Structured logging implementation
- 04Log aggregation configuration
- 05Correlation ID implementation
- 06Log retention policy
// In practice
How error tracking & logging engagements run
Sentry or Rollbar captures client and server exceptions with release tags and user context breadcrumbs — PII scrubbed in before_send hooks. Structured logs (JSON) ship to CloudWatch, Loki, or ELK with correlation IDs across services. Alert rules fire on new issue spikes and regression in resolved error classes.
// 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
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.
// Engagement models
How teams engage us
Currency
| Package | Ideal for | Investment | Includes |
|---|---|---|---|
| Managed services AMC | Post-launch platforms | ₹25K – ₹1.5L / month |
|
| DevOps transformation | Engineering teams | Project + retainer |
|
| SLO-backed operations | Revenue-critical apps | Scoped within AMC range |
|
// 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).
CIN
AAU-8582
Startup India
DIPP83124
Founded
November 2020
Office
Residency Rd, Bengaluru, India
// FAQ
Common questions about error tracking & logging
Should we use Sentry or Datadog for error tracking?+
Sentry is purpose-built for error tracking with excellent source map support, issue grouping, and release tracking, the best tool for error-specific monitoring. Datadog error tracking is appropriate when you are already using Datadog for APM and want unified observability.
Ready to get started with error tracking & logging?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.