Monitoring, Alerting & Observability
Comprehensive monitoring stacks with Prometheus/Grafana, Loki, Tempo, and alerting built around real SLIs/SLOs. We build observability platforms that give your engineering teams deep, end-to-end visibility into system health, performance, reliability, and real-time production behavior — with actionable alerts and noise-reduced alerting.
Common Problems We Solve
- No visibility into production failures → replaced with unified metrics/logs/traces
- Teams flooded with noise alerts → replaced with SLO-driven alerting
- Debugging issues takes hours → replaced with trace correlation and log indexing
- Kubernetes clusters fail silently → replaced with automated cluster health monitoring
- SRE practices missing or inconsistent → replaced with structured SLIs/SLOs & runbooks
Automation significantly reduces these risks and improves reliability across the delivery process.
What We Build
Full Observability Stack
We implement modern, open-source observability systems:
- Prometheus — metrics collection & alerting
- Grafana — dashboards, SLOs, visualizations
- Loki — cost-efficient log aggregation
- Tempo — distributed tracing
- Alertmanager — routing alerts to teams
- Node Exporter / Kube State Metrics — infra & cluster insights
- You get metrics, logs, and traces — unified in one place.
Real SLIs & SLOs — Not Vanity Metrics
We design monitoring around real user-centric metrics:
- Latency (P90/P99)
- Error rates
- Availability per service
- Resource saturation
- Queue depths
- Throughput & concurrency
- Your dashboards start showing what truly impacts customers — not just CPU charts.
Production-Ready Alerting
We configure actionable, noise-reduced alerting:
- Alert thresholds based on SLO budgets
- On-call friendly alerts
- Routing by service/owner
- Escalation policies (Slack, email, PagerDuty, Telegram)
- Runbooks connected to each alert
- Silence windows and maintenance modes
- Fewer unnecessary alerts during off-hours.
Kubernetes Monitoring
We provide deep Kubernetes visibility:
- Pod restarts & crash loops
- Deployment & rollout health
- Autoscaler events
- Cluster resource pressure
- Ingress/Service health
- Network anomalies
- Persistent volume issues
- Well-suited for microservices and high-load systems.
Logging & Tracing (Loki / Tempo / OpenTelemetry)
We unify logs and traces for faster debugging:
- Structured logs (JSON)
- Querying across all services
- Trace-to-log correlation
- Distributed tracing with Tempo
- Automatic context propagation
- Error hot spots & latency breakdowns
- Your team can diagnose issues faster through trace-to-log correlation.
Dashboards for Every Role
We design dashboards tailored to each team:
- For Engineering: Error rates, latency percentiles, service dependencies, rollout impact
- For DevOps: Cluster health, resource utilization, node & pod status
- For Management / Ops: High-level KPIs, availability, SLO burn rate
- No more "one giant dashboard nobody uses."
How It Works
- 1We analyze your current monitoring setup, identify gaps, and design the optimal observability architecture
- 2We deploy Prometheus, Grafana, Loki, and Tempo with proper scaling and retention policies
- 3We configure SLIs/SLOs based on real user metrics and business requirements
- 4We set up noise-reduced alerting with proper routing, escalation, and runbooks
- 5We create role-specific dashboards for engineering, DevOps, and management teams
- 6We integrate monitoring with CI/CD, Kubernetes, and incident response systems
Observability helps address these issues through unified metrics, logs, traces, and actionable alerts.
Results commonly observed in projects, depending on system complexity, organizational structure, and implementation scope.
Results You Can Expect
Results commonly observed in observability implementation projects, depending on system architecture, workload characteristics, and data volume.
Who This Is For
Kubernetes production teams
Run Kubernetes in production
Microservices teams
Operate microservices or distributed systems
SRE-focused companies
Need a real SRE/DevOps monitoring foundation
The results shown are based on individual project contexts and client environments. Actual outcomes may vary depending on system complexity, architecture, and organizational setup.
Why Choose H-Studio for Observability
Frequently Asked Questions
Which monitoring tools are used?
We use proven open-source tools: Prometheus for metrics, Grafana for dashboards and visualization, Loki for logs, and Tempo for distributed tracing. These tools integrate seamlessly with Kubernetes, cloud providers, and existing systems.
How are alerts configured?
We configure alerts based on real SLIs (Service Level Indicators) and SLOs (Service Level Objectives) instead of generic noise. Alerts fire only when actual issues occur that require immediate attention. This significantly reduces alert fatigue.
How long does it take to build an observability platform?
A comprehensive observability platform with metrics, logs, tracing, and alerting typically takes 2–3 weeks. Simple setups can be faster, while enterprise-grade platforms with multi-cluster monitoring and custom dashboards need 3–4 weeks.
Next Steps
Ready to build a comprehensive observability platform for your systems?
Disclaimer: All improvements described on this page are based on specific project contexts and technical implementations. Actual results may vary depending on system complexity, architecture, organizational processes, and baseline conditions. H-Studio provides technical implementation services and does not guarantee specific performance metrics or business outcomes.