SolutionsPlatform Engineering

Observability as a platform capability

Stop being the monitoring bottleneck. TigerOps gives your platform engineering team the tools to deliver self-service, standardized observability to every development team — automatically, at scale.

10x
Faster service onboarding
90%
Reduction in platform toil
100%
Service coverage achieved
3 weeks
Average time to full rollout

Why observability becomes a platform problem

As organizations grow, ad-hoc monitoring approaches collapse under the weight of team count, service count, and organizational complexity.

🎲

Inconsistent Observability

Every team instruments differently. Some use Datadog, some use Prometheus, some use nothing. Incidents span multiple teams and nobody can see across the boundary.

📈

Scaling Is a Nightmare

Onboarding a new service to monitoring requires weeks of work. The platform team is a bottleneck for every team that wants visibility into their service.

🏗️

Constant Maintenance Burden

Custom dashboards break. Alerting rules drift. The platform team spends more time maintaining the observability stack than improving the platform.

🔐

Access Control Complexity

Giving teams access to their own data without exposing other teams' sensitive metrics and logs requires custom tooling that nobody has time to build properly.

Platform Capabilities

Everything you need to build the observability layer

From templates to APIs to AI — TigerOps is designed to be embedded in your internal developer platform.

Observability Templates

Pre-built service templates with golden signals, dashboards, and alerting out of the box. Teams get production-ready observability in minutes, not weeks.

Team-Based Access Control

Namespace-level access control lets every team own their observability data. Platform-wide visibility for platform engineers, scoped views for product teams.

Standards Enforcement

Define organizational observability standards and enforce them across every service. Automatic alerts when services drift from required instrumentation.

Self-Service Onboarding

Auto-discovery instruments new services automatically. Teams get dashboards, alerts, and SLO tracking from the first deployment, with zero manual setup.

Cost Attribution

Break down observability costs by team, service, and environment. Chargeback-ready reporting helps platform teams justify investment and optimize usage.

API-First Architecture

Integrate TigerOps into your IDP via REST and GraphQL APIs. Automate dashboard creation, alert management, and SLO setup from your Backstage or custom portal.

From zero to platform-wide observability

A proven adoption path for platform engineering teams.

Phase 1Week 1–2
01

Define Standards

Platform team defines golden signal templates, mandatory SLOs, and alerting baselines for every service tier.

Phase 2Week 3–4
02

Automate Onboarding

Auto-discovery and service templates are configured. New services get full observability on first deploy.

Phase 3Month 2
03

Empower Teams

Each team gets a self-service portal to create custom dashboards, adjust alerts, and manage their SLOs — within platform-defined guardrails.

Phase 4Ongoing
04

Platform Intelligence

AI identifies drift, coverage gaps, and toil patterns across the entire estate. Platform team gets a prioritized list of improvements.

We had 60+ microservices with wildly inconsistent monitoring. With TigerOps, we rolled out standardized observability across every team in three weeks. New services now get dashboards and alerts automatically on the first deploy.

DP
David P.
Staff Platform Engineer, Scale-up

Build observability into your platform

Give every development team world-class observability without making your platform team a permanent bottleneck.