See Everything. Fix Anything. Before Users Notice.
When your system breaks at 3AM, you need to know why in minutes, not hours. We set up Prometheus, Grafana, OpenTelemetry, and AI anomaly detection so your team gets the full picture, fast.
Metrics, Logs, and Traces Working Together
Most teams bolt on monitoring as an afterthought and end up with dashboards nobody checks. We build observability into your stack from day one: correlated metrics, structured logs, and distributed traces that pinpoint the root cause of incidents in minutes instead of hours.
Real-Time Insights
- Monitor health and performance of applications and infrastructure
- Identify issues before they impact users
Proactive Problem Solving
- Use predictive analytics to address anomalies before they escalate
- Enable automated alerting to reduce resolution time
Holistic Visibility
- Trace complex systems across distributed and hybrid environments
- Unify metrics, logs, and traces for a complete view of your stack
Our Observability Expertise
Centralized Monitoring Systems
Deploy tools like Prometheus, Grafana, and Datadog to monitor infrastructure health. Set up centralized dashboards for quick decision-making.
Distributed Tracing
Implement tracing tools like Jaeger and OpenTelemetry to track requests across microservices. Diagnose performance issues with detailed trace maps.
Log Aggregation and Analysis
Use ELK Stack (Elasticsearch, Logstash, Kibana) or Splunk for log aggregation and analysis. Detect patterns and anomalies in real time with AI-powered log monitoring.
Metric Tracking
Gather key metrics to measure uptime, latency, and resource utilization. Optimize applications with detailed metric-driven insights.
Proactive Alerts and Automation
Configure alerts to notify teams of performance issues or failures. Integrate with incident response tools like PagerDuty or Opsgenie for faster resolution.
Core Benefits
End-to-End Visibility
Monitor every component of your stack, from infrastructure to applications.
Faster Incident Resolution
Reduce downtime with real-time alerts and proactive problem detection.
Optimized Performance
Gain insights into system bottlenecks and optimize resource utilization.
Unified Operations
Combine metrics, logs, and traces in one comprehensive platform.
FinTech Leader: Microservices Observability
Challenge: Inconsistent performance across a microservices architecture led to frequent customer complaints.
Solution
- Deployed OpenTelemetry for end-to-end tracing across microservices
- Integrated Prometheus and Grafana for real-time metric visualization
- Enabled predictive analytics using AI-driven anomaly detection
FAQ
Observability Questions, Answered
What is observability and how is it different from monitoring?
Monitoring tells you that something is wrong (an alert fires). Observability tells you why it is wrong (logs, traces, and metrics give you the answer). The three pillars are metrics (Prometheus), logs (Loki or CloudWatch), and traces (OpenTelemetry). A well-built observability stack lets engineers diagnose production issues without re-creating them locally.
What observability stack do you build with?
Prometheus + Alertmanager + Grafana via the kube-prometheus-stack Helm chart. Loki and Promtail for log aggregation. OpenTelemetry for distributed tracing. PagerDuty for on-call and incident management. For ML workloads we add NVIDIA DCGM Exporter for GPU metrics per pod.
How long does an observability setup take?
Three weeks for a full stack: 1 week for infrastructure (Prometheus, Loki, Grafana), 1 week for instrumentation (OpenTelemetry rollout, custom metrics, log collection), and 1 week for alert design (three-tier severity, PagerDuty integration, on-call schedules, runbook links).
Can you cut alert noise on an existing setup?
Yes. The single most impactful thing we do on observability audits: design a three-tier alert model (T1 wakes you up, T2 push notifies, T3 Slack only), then rewrite every existing alert against the tiers. Average reduction in pages-per-week is 90%+ while improving real-incident detection time.
Do you handle on-call setup and PagerDuty?
Yes. Full PagerDuty setup including primary plus backup schedules, escalation policies, incident routing from Alertmanager, and Grafana deep-links in every alert for one-tap context. We also write the runbook template so on-call engineers have a consistent investigation flow.
How much does observability work cost?
Observability is delivered through our two engagement patterns: Managed Engineering Pod from $10,000/m (full team for stack design + rollout + on-call) or Embedded Senior DevOps from $2,500/m (senior engineer for steady ownership of monitoring, alerting, and incident response). Scoped during a free observability audit call.
Stop guessing. Start observing.
Prometheus, Grafana, and OpenTelemetry configured for your stack. Most teams are fully instrumented within two weeks.
Pattern A
Managed Engineering Pod
Full delivery team from $10,000/m
Pattern B
Embedded Senior DevOps
Senior engineer from $2,500/m
See full pricing patterns.