Observability And System Reliability Solutions - OpsTree
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Unified view across infra, applications, and user journeys

Pre-built dashboards using Grafana, Loki, Tempo, and Prometheus

Live correlation across metrics, logs, and traces in one place

AI-driven RCA based on telemetry and recent deployments

Instant mapping of impact across services and dependencies

Automated suggestions or rollbacks to resolve known issues

Auto-remediation for recurring incidents via policy triggers

Rollbacks and restarts handled based on known patterns

900B+ Metrics Handled Seamlessly with 80% Cost Reduction for India’s Leading Streamer
Faced with massive traffic surges, a leading streaming platform overhauled their observability approach. Using blue/green Prometheus, log-to-metric conversion, and AI-led RCA, they achieved real-time failover and 80% lower storage costs.
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100% Infra Visibility in Air-Gapped Port Systems
Operating across disconnected, heavily regulated ports, this enterprise needed full visibility without cloud reliance. Our solution enabled an open-source, IaC-based deployment — delivering 100% infra coverage and over $500K in annual savings.
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Leading brands trust OpsTree

Service Health Dashboard

Live RED metrics with logs, traces, and infra KPIs — all unified in a single, intuitive view. 

SLO & SLI Monitoring

Track service reliability, error budgets, and SLA
thresholds in real time.

Cost Observability Panel

Visualize cloud spend patterns, detect anomalies, and optimize cost efficiency across environments.

Kubernetes Infra View

Monitor pod health, node resource usage, and container lifecycle trends at a glance.

Database Insights (Postgres)

Track query latency, cache hits/misses, and connection metrics to ensure DB performance.

Middleware Health Snapshot

Stay ahead of SSL expiry, TLS versions, and middleware resource usage with clean visual panels.

Built to Work Where You Work

Insights & Innovations

Let’s Plan Your Project

From ideation to completion, let’s make your dream a reality.

What kind of data does the platform ingest?

Logs, metrics, traces, events, and deployment metadata across infra, apps, and services.

Does it resolve issues automatically?

Yes. For known patterns, it can roll back deployments, restart services, or trigger fixes without human input.

How does it identify the root cause?

It correlates telemetry with recent system changes and dependency graphs to isolate the true source of failure.

Can it learn from past incidents?

Yes. The system improves over time by learning which fixes worked and recognizing similar future patterns faster.

Will it work with our existing observability tools?

Yes. It integrates with standard telemetry sources and can sit on top of your current monitoring stack.

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Possibilities ReImagined

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