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
SLA-Based Monitoring
Monitoring without SLAs is noise. We configure production monitoring with clearly defined alerting thresholds, escalation paths, and response commitments, so incidents are detected and addressed within agreed timeframes.
// Key benefits
What makes this service valuable
Multi-layer monitoring coverage
Uptime monitoring, error tracking, performance monitoring, and infrastructure metrics, all configured to alert on the conditions that matter, not everything.
Defined escalation paths
Every alert has a defined escalation path: who is notified, when, through which channel, and what the SLA for resolution is. No ambiguity in incident response.
Monthly SLA reporting
Monthly SLA adherence reports showing uptime, incident counts, response times, and resolution times against committed targets.
// Details
Monitoring that comes with commitments
Production monitoring is only valuable if someone responds to it. Our SLA-based monitoring service combines monitoring configuration with defined response commitments, combining tooling with accountability.
We configure Sentry, Datadog, or equivalent tools for your stack, define alerting thresholds that balance signal vs. noise, and commit to response SLAs for different severity levels.
// What this includes
- Uptime monitoring (Pingdom / BetterUptime)
- Error tracking (Sentry / Datadog APM)
- Performance monitoring (Datadog / New Relic)
- Infrastructure metrics (CPU, memory, disk)
- Alerting thresholds and escalation rules
- PagerDuty / Opsgenie integration
- Monthly SLA compliance reporting
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our sla-based monitoring service.
- 01Monitoring stack setup and configuration
- 02Alerting rules and thresholds
- 03Escalation path documentation
- 04Incident response runbook
- 05Monthly SLA reporting
// In practice
How sla-based monitoring engagements run
SLIs define what 'up' means — successful checkout, API 200 rate, job completion — with error budgets calculated monthly. PagerDuty services map to tier-1 vs tier-2 response times documented in your SLA. Customer-facing status pages optional; internal Grafana SLO dashboards standard.
// 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
// 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 sla-based monitoring
What SLAs do you commit to?+
Standard SLAs: P1 (service down), 30-minute response, 4-hour resolution; P2 (major feature broken), 2-hour response, 24-hour resolution; P3 (minor issue), next business day. Custom SLAs available for critical applications.
Ready to get started with sla-based monitoring?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.